Reverse axis in TikZ datavisualization












2














Sorry if this doesn't seem well-researched, but I couldn't find the answer anywhere.



Is there a way to reverse an axis in a TikZ datavisualization? Concretely, I want to reverse the y axis in a cartesian system, so that positive points down.




Clarification: I didn't express myself correctly. Basically I only want to get a y axis in which positive is down and negative is
up. But that's not simply putting the $y$ label at the bottom; I
actually want positive to be down and the arrow to point down. The
"aiming for" image is confusing because there are no tick marks. But
if I added them, the y axis would show 1 (and not -1). Of course, then
the whole graph would appear on the opposite side. But I could easily
change the csv files to reverse all of the y coordinates. In fact, the
only reason I put negative y coordinates in the csv files was
precisely because I didn't know how to "properly" flip the axis, but
the original data is all positive (both in x and y). Sorry for the confusion.
@whatisit gave the solution straight away, which was yscale=-1.
Now the only problem is getting the correct anchoring of tick
marks/labels. Again, sorry for the confusion.




From what I've gathered from this question, when manually specifying an axis you can use the key y dir=reverse. But I haven't found any equivalent way using the datavisualization library. I'm using the school book axes system.



Here's what I've tried:



datavisualization [school book axes,

                    y dir=reverse]






datavisualization [school book axes,

                    all axes={y dir=reverse}]






datavisualization [school book axes,

                    y axis=reverse]






datavisualization [school book axes,

                    y={dir=reverse}]





MWE (updated)



This is what I'm working on. I've stripped down the preamble to a minimum.



documentclass[11pt, a4paper]{article}

usepackage[margin=2.5cm]{geometry}

usepackage{tikz}

usepackage{pgfplots}

usetikzlibrary{datavisualization}



usepackage{filecontents}

begin{filecontents}{1.csv}

0, 0

0.100000, 0.102985

0.200000, 0.284078

0.300000, 0.431294

0.800000, 0.886640

0.900000, 0.946767

1.000000, 1.000000

end{filecontents}



begin{filecontents}{2.csv}

0, 0

0.104298, 0.280000

0.213643, 0.440000

0.300496, 0.540000

0.709127, 0.860000

0.820097, 0.920000

0.904455, 0.960000

1.000000, 1.000000

end{filecontents}



begin{filecontents}{3.csv}

0, 0

0.105170, 0.292368

0.205373, 0.440170

0.325606, 0.575855

0.435812, 0.676699

0.502248, 0.729587

0.663074, 0.838455

0.760352, 0.893359

0.871594, 0.947572

1.000000, 1.000000

end{filecontents}





begin{document}

    begin{tikzpicture}[>=stealth]

        datavisualization data group {methods} = {

            data [set=m1, read from file={1.csv}]

            data [set=m2, read from file={2.csv}]

            data [set=m3, read from file={3.csv}]

        };



        datavisualization [school book axes,

                            visualize as scatter/.list={m1,m3,m2},

                            all axes={unit length=8cm},

                            x axis={label=$x$},

                            y axis={label=$y$},

                            yscale=-1,

                            style sheet={vary hue},

                            style sheet={cross marks},

                            data/headline={x,y}]



            data group {methods};

    end{tikzpicture}

end{document}


The complete CSV files can be found here.



Current output (updated)



Note: as @whatisit suggested, I'm using yscale=-. The problem now is how to change the label/tick anchoring.



current output (updated)






What I'm aiming for



Something like this:



desired ouput indication



begin{tikzpicture}[>=stealth, scale=6]

        coordinate (X) at (1.3, 0);

        coordinate (Y) at (0, -1.1);

        draw[black!30, very thin] (X) grid (Y);

        draw[black!5, very thin, step=0.2] (X) grid (Y);



        draw[->, very thick]  (0, 0) -- node[very near end, anchor=south west] {Large$x$} (X);

        draw[->, very thick]  (0, 0) -- node[very near end, anchor=north east] {Large$y$} (Y);



        draw[blue, loosely dotted, very thick] plot file {1.data};

        draw[purple, loosely dotted, ultra thick] plot file {2.data};

        draw[red, loosely dotted, very thick] plot file {3.data};

end{tikzpicture}


Here 1.data, 2.data and 3.data are exactly like the CSV files but separated by spaces instead of commas.






tikz-pgf tikz-datavisualization







share|improve this question




















  • 1




    Can you use begin{tikzpicture}[yscale=-1]? This will flip all y coordinates to the opposite sign. (You can also use this option in datavisualization instead)
    – whatisit
    yesterday












  • @whatisit Yes, the problem then is that the label positioning gets all messed up, and I can't figure out the syntax of anchor
    – Anakhand
    yesterday






  • 1




    Generally, your posts are interesting but require a lot of effort by those who are considering to answer them. I dare to predict that, once you provide minimal working examples, i.e. documents that start with documentclass, end with end{document}, can be compiled and illustrate the point you will get very quickly answers and also upvotes to your question.
    – marmot
    yesterday










  • Still the files 1.csv, 2.csv and 3.csv are still missing. You can include them using filecontents, which makes it more convenient for others. And even if I add them, the document cannot be compiled. Further, why are you loading pgfplots here? You do not seem to use it. Of course, if you use it, you can easily reverse axes.
    – marmot
    yesterday












  • @marmot I updated the filenames accordingly; 1.csv, 2.csv and 3.csv were placeholder names. I tried compiling and it works fine for me. I'm hesitant to put filecontents because the files are large.
    – Anakhand
    yesterday
















2














Sorry if this doesn't seem well-researched, but I couldn't find the answer anywhere.



Is there a way to reverse an axis in a TikZ datavisualization? Concretely, I want to reverse the y axis in a cartesian system, so that positive points down.




Clarification: I didn't express myself correctly. Basically I only want to get a y axis in which positive is down and negative is
up. But that's not simply putting the $y$ label at the bottom; I
actually want positive to be down and the arrow to point down. The
"aiming for" image is confusing because there are no tick marks. But
if I added them, the y axis would show 1 (and not -1). Of course, then
the whole graph would appear on the opposite side. But I could easily
change the csv files to reverse all of the y coordinates. In fact, the
only reason I put negative y coordinates in the csv files was
precisely because I didn't know how to "properly" flip the axis, but
the original data is all positive (both in x and y). Sorry for the confusion.
@whatisit gave the solution straight away, which was yscale=-1.
Now the only problem is getting the correct anchoring of tick
marks/labels. Again, sorry for the confusion.




From what I've gathered from this question, when manually specifying an axis you can use the key y dir=reverse. But I haven't found any equivalent way using the datavisualization library. I'm using the school book axes system.



Here's what I've tried:



datavisualization [school book axes,

                    y dir=reverse]






datavisualization [school book axes,

                    all axes={y dir=reverse}]






datavisualization [school book axes,

                    y axis=reverse]






datavisualization [school book axes,

                    y={dir=reverse}]





MWE (updated)



This is what I'm working on. I've stripped down the preamble to a minimum.



documentclass[11pt, a4paper]{article}

usepackage[margin=2.5cm]{geometry}

usepackage{tikz}

usepackage{pgfplots}

usetikzlibrary{datavisualization}



usepackage{filecontents}

begin{filecontents}{1.csv}

0, 0

0.100000, 0.102985

0.200000, 0.284078

0.300000, 0.431294

0.800000, 0.886640

0.900000, 0.946767

1.000000, 1.000000

end{filecontents}



begin{filecontents}{2.csv}

0, 0

0.104298, 0.280000

0.213643, 0.440000

0.300496, 0.540000

0.709127, 0.860000

0.820097, 0.920000

0.904455, 0.960000

1.000000, 1.000000

end{filecontents}



begin{filecontents}{3.csv}

0, 0

0.105170, 0.292368

0.205373, 0.440170

0.325606, 0.575855

0.435812, 0.676699

0.502248, 0.729587

0.663074, 0.838455

0.760352, 0.893359

0.871594, 0.947572

1.000000, 1.000000

end{filecontents}





begin{document}

    begin{tikzpicture}[>=stealth]

        datavisualization data group {methods} = {

            data [set=m1, read from file={1.csv}]

            data [set=m2, read from file={2.csv}]

            data [set=m3, read from file={3.csv}]

        };



        datavisualization [school book axes,

                            visualize as scatter/.list={m1,m3,m2},

                            all axes={unit length=8cm},

                            x axis={label=$x$},

                            y axis={label=$y$},

                            yscale=-1,

                            style sheet={vary hue},

                            style sheet={cross marks},

                            data/headline={x,y}]



            data group {methods};

    end{tikzpicture}

end{document}


The complete CSV files can be found here.



Current output (updated)



Note: as @whatisit suggested, I'm using yscale=-. The problem now is how to change the label/tick anchoring.



current output (updated)






What I'm aiming for



Something like this:



desired ouput indication



begin{tikzpicture}[>=stealth, scale=6]

        coordinate (X) at (1.3, 0);

        coordinate (Y) at (0, -1.1);

        draw[black!30, very thin] (X) grid (Y);

        draw[black!5, very thin, step=0.2] (X) grid (Y);



        draw[->, very thick]  (0, 0) -- node[very near end, anchor=south west] {Large$x$} (X);

        draw[->, very thick]  (0, 0) -- node[very near end, anchor=north east] {Large$y$} (Y);



        draw[blue, loosely dotted, very thick] plot file {1.data};

        draw[purple, loosely dotted, ultra thick] plot file {2.data};

        draw[red, loosely dotted, very thick] plot file {3.data};

end{tikzpicture}


Here 1.data, 2.data and 3.data are exactly like the CSV files but separated by spaces instead of commas.






tikz-pgf tikz-datavisualization







share|improve this question




















  • 1




    Can you use begin{tikzpicture}[yscale=-1]? This will flip all y coordinates to the opposite sign. (You can also use this option in datavisualization instead)
    – whatisit
    yesterday












  • @whatisit Yes, the problem then is that the label positioning gets all messed up, and I can't figure out the syntax of anchor
    – Anakhand
    yesterday






  • 1




    Generally, your posts are interesting but require a lot of effort by those who are considering to answer them. I dare to predict that, once you provide minimal working examples, i.e. documents that start with documentclass, end with end{document}, can be compiled and illustrate the point you will get very quickly answers and also upvotes to your question.
    – marmot
    yesterday










  • Still the files 1.csv, 2.csv and 3.csv are still missing. You can include them using filecontents, which makes it more convenient for others. And even if I add them, the document cannot be compiled. Further, why are you loading pgfplots here? You do not seem to use it. Of course, if you use it, you can easily reverse axes.
    – marmot
    yesterday












  • @marmot I updated the filenames accordingly; 1.csv, 2.csv and 3.csv were placeholder names. I tried compiling and it works fine for me. I'm hesitant to put filecontents because the files are large.
    – Anakhand
    yesterday














2












2








2







Sorry if this doesn't seem well-researched, but I couldn't find the answer anywhere.



Is there a way to reverse an axis in a TikZ datavisualization? Concretely, I want to reverse the y axis in a cartesian system, so that positive points down.




Clarification: I didn't express myself correctly. Basically I only want to get a y axis in which positive is down and negative is
up. But that's not simply putting the $y$ label at the bottom; I
actually want positive to be down and the arrow to point down. The
"aiming for" image is confusing because there are no tick marks. But
if I added them, the y axis would show 1 (and not -1). Of course, then
the whole graph would appear on the opposite side. But I could easily
change the csv files to reverse all of the y coordinates. In fact, the
only reason I put negative y coordinates in the csv files was
precisely because I didn't know how to "properly" flip the axis, but
the original data is all positive (both in x and y). Sorry for the confusion.
@whatisit gave the solution straight away, which was yscale=-1.
Now the only problem is getting the correct anchoring of tick
marks/labels. Again, sorry for the confusion.




From what I've gathered from this question, when manually specifying an axis you can use the key y dir=reverse. But I haven't found any equivalent way using the datavisualization library. I'm using the school book axes system.



Here's what I've tried:



datavisualization [school book axes,

                    y dir=reverse]






datavisualization [school book axes,

                    all axes={y dir=reverse}]






datavisualization [school book axes,

                    y axis=reverse]






datavisualization [school book axes,

                    y={dir=reverse}]





MWE (updated)



This is what I'm working on. I've stripped down the preamble to a minimum.



documentclass[11pt, a4paper]{article}

usepackage[margin=2.5cm]{geometry}

usepackage{tikz}

usepackage{pgfplots}

usetikzlibrary{datavisualization}



usepackage{filecontents}

begin{filecontents}{1.csv}

0, 0

0.100000, 0.102985

0.200000, 0.284078

0.300000, 0.431294

0.800000, 0.886640

0.900000, 0.946767

1.000000, 1.000000

end{filecontents}



begin{filecontents}{2.csv}

0, 0

0.104298, 0.280000

0.213643, 0.440000

0.300496, 0.540000

0.709127, 0.860000

0.820097, 0.920000

0.904455, 0.960000

1.000000, 1.000000

end{filecontents}



begin{filecontents}{3.csv}

0, 0

0.105170, 0.292368

0.205373, 0.440170

0.325606, 0.575855

0.435812, 0.676699

0.502248, 0.729587

0.663074, 0.838455

0.760352, 0.893359

0.871594, 0.947572

1.000000, 1.000000

end{filecontents}





begin{document}

    begin{tikzpicture}[>=stealth]

        datavisualization data group {methods} = {

            data [set=m1, read from file={1.csv}]

            data [set=m2, read from file={2.csv}]

            data [set=m3, read from file={3.csv}]

        };



        datavisualization [school book axes,

                            visualize as scatter/.list={m1,m3,m2},

                            all axes={unit length=8cm},

                            x axis={label=$x$},

                            y axis={label=$y$},

                            yscale=-1,

                            style sheet={vary hue},

                            style sheet={cross marks},

                            data/headline={x,y}]



            data group {methods};

    end{tikzpicture}

end{document}


The complete CSV files can be found here.



Current output (updated)



Note: as @whatisit suggested, I'm using yscale=-. The problem now is how to change the label/tick anchoring.



current output (updated)






What I'm aiming for



Something like this:



desired ouput indication



begin{tikzpicture}[>=stealth, scale=6]

        coordinate (X) at (1.3, 0);

        coordinate (Y) at (0, -1.1);

        draw[black!30, very thin] (X) grid (Y);

        draw[black!5, very thin, step=0.2] (X) grid (Y);



        draw[->, very thick]  (0, 0) -- node[very near end, anchor=south west] {Large$x$} (X);

        draw[->, very thick]  (0, 0) -- node[very near end, anchor=north east] {Large$y$} (Y);



        draw[blue, loosely dotted, very thick] plot file {1.data};

        draw[purple, loosely dotted, ultra thick] plot file {2.data};

        draw[red, loosely dotted, very thick] plot file {3.data};

end{tikzpicture}


Here 1.data, 2.data and 3.data are exactly like the CSV files but separated by spaces instead of commas.






tikz-pgf tikz-datavisualization







share|improve this question















Sorry if this doesn't seem well-researched, but I couldn't find the answer anywhere.



Is there a way to reverse an axis in a TikZ datavisualization? Concretely, I want to reverse the y axis in a cartesian system, so that positive points down.




Clarification: I didn't express myself correctly. Basically I only want to get a y axis in which positive is down and negative is
up. But that's not simply putting the $y$ label at the bottom; I
actually want positive to be down and the arrow to point down. The
"aiming for" image is confusing because there are no tick marks. But
if I added them, the y axis would show 1 (and not -1). Of course, then
the whole graph would appear on the opposite side. But I could easily
change the csv files to reverse all of the y coordinates. In fact, the
only reason I put negative y coordinates in the csv files was
precisely because I didn't know how to "properly" flip the axis, but
the original data is all positive (both in x and y). Sorry for the confusion.
@whatisit gave the solution straight away, which was yscale=-1.
Now the only problem is getting the correct anchoring of tick
marks/labels. Again, sorry for the confusion.




From what I've gathered from this question, when manually specifying an axis you can use the key y dir=reverse. But I haven't found any equivalent way using the datavisualization library. I'm using the school book axes system.



Here's what I've tried:



datavisualization [school book axes,

                    y dir=reverse]






datavisualization [school book axes,

                    all axes={y dir=reverse}]






datavisualization [school book axes,

                    y axis=reverse]






datavisualization [school book axes,

                    y={dir=reverse}]





MWE (updated)



This is what I'm working on. I've stripped down the preamble to a minimum.



documentclass[11pt, a4paper]{article}

usepackage[margin=2.5cm]{geometry}

usepackage{tikz}

usepackage{pgfplots}

usetikzlibrary{datavisualization}



usepackage{filecontents}

begin{filecontents}{1.csv}

0, 0

0.100000, 0.102985

0.200000, 0.284078

0.300000, 0.431294

0.800000, 0.886640

0.900000, 0.946767

1.000000, 1.000000

end{filecontents}



begin{filecontents}{2.csv}

0, 0

0.104298, 0.280000

0.213643, 0.440000

0.300496, 0.540000

0.709127, 0.860000

0.820097, 0.920000

0.904455, 0.960000

1.000000, 1.000000

end{filecontents}



begin{filecontents}{3.csv}

0, 0

0.105170, 0.292368

0.205373, 0.440170

0.325606, 0.575855

0.435812, 0.676699

0.502248, 0.729587

0.663074, 0.838455

0.760352, 0.893359

0.871594, 0.947572

1.000000, 1.000000

end{filecontents}





begin{document}

    begin{tikzpicture}[>=stealth]

        datavisualization data group {methods} = {

            data [set=m1, read from file={1.csv}]

            data [set=m2, read from file={2.csv}]

            data [set=m3, read from file={3.csv}]

        };



        datavisualization [school book axes,

                            visualize as scatter/.list={m1,m3,m2},

                            all axes={unit length=8cm},

                            x axis={label=$x$},

                            y axis={label=$y$},

                            yscale=-1,

                            style sheet={vary hue},

                            style sheet={cross marks},

                            data/headline={x,y}]



            data group {methods};

    end{tikzpicture}

end{document}


The complete CSV files can be found here.



Current output (updated)



Note: as @whatisit suggested, I'm using yscale=-. The problem now is how to change the label/tick anchoring.



current output (updated)






What I'm aiming for



Something like this:



desired ouput indication



begin{tikzpicture}[>=stealth, scale=6]

        coordinate (X) at (1.3, 0);

        coordinate (Y) at (0, -1.1);

        draw[black!30, very thin] (X) grid (Y);

        draw[black!5, very thin, step=0.2] (X) grid (Y);



        draw[->, very thick]  (0, 0) -- node[very near end, anchor=south west] {Large$x$} (X);

        draw[->, very thick]  (0, 0) -- node[very near end, anchor=north east] {Large$y$} (Y);



        draw[blue, loosely dotted, very thick] plot file {1.data};

        draw[purple, loosely dotted, ultra thick] plot file {2.data};

        draw[red, loosely dotted, very thick] plot file {3.data};

end{tikzpicture}


Here 1.data, 2.data and 3.data are exactly like the CSV files but separated by spaces instead of commas.






tikz-pgf tikz-datavisualization




tikz-pgf tikz-datavisualization






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited 23 hours ago

























asked yesterday









Anakhand

10810




10810








  • 1




    Can you use begin{tikzpicture}[yscale=-1]? This will flip all y coordinates to the opposite sign. (You can also use this option in datavisualization instead)
    – whatisit
    yesterday












  • @whatisit Yes, the problem then is that the label positioning gets all messed up, and I can't figure out the syntax of anchor
    – Anakhand
    yesterday






  • 1




    Generally, your posts are interesting but require a lot of effort by those who are considering to answer them. I dare to predict that, once you provide minimal working examples, i.e. documents that start with documentclass, end with end{document}, can be compiled and illustrate the point you will get very quickly answers and also upvotes to your question.
    – marmot
    yesterday










  • Still the files 1.csv, 2.csv and 3.csv are still missing. You can include them using filecontents, which makes it more convenient for others. And even if I add them, the document cannot be compiled. Further, why are you loading pgfplots here? You do not seem to use it. Of course, if you use it, you can easily reverse axes.
    – marmot
    yesterday












  • @marmot I updated the filenames accordingly; 1.csv, 2.csv and 3.csv were placeholder names. I tried compiling and it works fine for me. I'm hesitant to put filecontents because the files are large.
    – Anakhand
    yesterday














  • 1




    Can you use begin{tikzpicture}[yscale=-1]? This will flip all y coordinates to the opposite sign. (You can also use this option in datavisualization instead)
    – whatisit
    yesterday












  • @whatisit Yes, the problem then is that the label positioning gets all messed up, and I can't figure out the syntax of anchor
    – Anakhand
    yesterday






  • 1




    Generally, your posts are interesting but require a lot of effort by those who are considering to answer them. I dare to predict that, once you provide minimal working examples, i.e. documents that start with documentclass, end with end{document}, can be compiled and illustrate the point you will get very quickly answers and also upvotes to your question.
    – marmot
    yesterday










  • Still the files 1.csv, 2.csv and 3.csv are still missing. You can include them using filecontents, which makes it more convenient for others. And even if I add them, the document cannot be compiled. Further, why are you loading pgfplots here? You do not seem to use it. Of course, if you use it, you can easily reverse axes.
    – marmot
    yesterday












  • @marmot I updated the filenames accordingly; 1.csv, 2.csv and 3.csv were placeholder names. I tried compiling and it works fine for me. I'm hesitant to put filecontents because the files are large.
    – Anakhand
    yesterday








1




1




Can you use begin{tikzpicture}[yscale=-1]? This will flip all y coordinates to the opposite sign. (You can also use this option in datavisualization instead)
– whatisit
yesterday






Can you use begin{tikzpicture}[yscale=-1]? This will flip all y coordinates to the opposite sign. (You can also use this option in datavisualization instead)
– whatisit
yesterday














@whatisit Yes, the problem then is that the label positioning gets all messed up, and I can't figure out the syntax of anchor
– Anakhand
yesterday




@whatisit Yes, the problem then is that the label positioning gets all messed up, and I can't figure out the syntax of anchor
– Anakhand
yesterday




1




1




Generally, your posts are interesting but require a lot of effort by those who are considering to answer them. I dare to predict that, once you provide minimal working examples, i.e. documents that start with documentclass, end with end{document}, can be compiled and illustrate the point you will get very quickly answers and also upvotes to your question.
– marmot
yesterday




Generally, your posts are interesting but require a lot of effort by those who are considering to answer them. I dare to predict that, once you provide minimal working examples, i.e. documents that start with documentclass, end with end{document}, can be compiled and illustrate the point you will get very quickly answers and also upvotes to your question.
– marmot
yesterday












Still the files 1.csv, 2.csv and 3.csv are still missing. You can include them using filecontents, which makes it more convenient for others. And even if I add them, the document cannot be compiled. Further, why are you loading pgfplots here? You do not seem to use it. Of course, if you use it, you can easily reverse axes.
– marmot
yesterday






Still the files 1.csv, 2.csv and 3.csv are still missing. You can include them using filecontents, which makes it more convenient for others. And even if I add them, the document cannot be compiled. Further, why are you loading pgfplots here? You do not seem to use it. Of course, if you use it, you can easily reverse axes.
– marmot
yesterday














@marmot I updated the filenames accordingly; 1.csv, 2.csv and 3.csv were placeholder names. I tried compiling and it works fine for me. I'm hesitant to put filecontents because the files are large.
– Anakhand
yesterday




@marmot I updated the filenames accordingly; 1.csv, 2.csv and 3.csv were placeholder names. I tried compiling and it works fine for me. I'm hesitant to put filecontents because the files are large.
– Anakhand
yesterday










2 Answers
2






active

oldest

votes


















3














Ok, this was a little tricky, but I was able to figure it out with data visualization. The approach scales the y-axis by -1 (as mentioned in my comment). As you mentioned, however, this also flips the axis values and not only the data.



Approach #1:



Perhaps this is not the most elegant approach, but you can forcibly "re-calculate" the y-value tick labels with:



defreverseyaxis#1{%

    pgfmathparse{#1*-1}%

    pgfmathprintnumber{pgfmathresult}%

}


And then update the ticks values within datavisualization parameters:



tick typesetter/.code=reverseyaxis{##1}


Here is a complete version, which I put into @marmot's answer above (except for the color coding):



% ---DOCUMENT CLASS---

documentclass[11pt, a4paper]{article}

usepackage[margin=2.5cm]{geometry}



% ---MISC. PACKAGES---

usepackage{pgfplots}



% ---TIKZ---

usepackage{tikz}

usetikzlibrary{datavisualization}



% ---PLOTS---

pgfplotsset{compat=1.16}



usepackage{filecontents}

begin{filecontents*}{1.csv}

0, 0

0.020000, -0.000347

0.040000, -0.009989

0.060000, -0.033917

0.080000, -0.066399

0.100000, -0.102985

0.120000, -0.140917

0.140000, -0.178608

0.160000, -0.215232

0.180000, -0.250425

0.200000, -0.284078

0.220000, -0.316210

0.240000, -0.346897

0.260000, -0.376240

0.280000, -0.404339

0.300000, -0.431294

0.320000, -0.457194

0.340000, -0.482119

0.780000, -0.873711

0.800000, -0.886640

0.820000, -0.899258

0.840000, -0.911571

0.860000, -0.923589

0.880000, -0.935319

0.900000, -0.946767

0.920000, -0.957940

0.940000, -0.968844

0.960000, -0.979485

0.980000, -0.989869

1.000000, -1.000000

end{filecontents*}



begin{filecontents*}{2.csv}

0, 0

0.002644, -0.020000

0.006417, -0.040000

0.011080, -0.060000

0.016513, -0.080000

0.022645, -0.100000

0.029425, -0.120000

0.036820, -0.140000

0.044804, -0.160000

0.053358, -0.180000

0.062468, -0.200000

0.072123, -0.220000

0.082316, -0.240000

0.093042, -0.260000

0.104298, -0.280000

0.116083, -0.300000

0.128398, -0.320000

0.141246, -0.340000

0.154629, -0.360000

0.168553, -0.380000

0.183024, -0.400000

0.198051, -0.420000

0.213643, -0.440000

0.229810, -0.460000

0.246564, -0.480000

0.263919, -0.500000

0.281891, -0.520000

0.300496, -0.540000

0.643284, -0.820000

0.675487, -0.840000

0.709127, -0.860000

0.744333, -0.880000

0.781261, -0.900000

0.820097, -0.920000

0.861068, -0.940000

0.904455, -0.960000

0.950612, -0.980000

1.000000, -1.000000

end{filecontents*}



begin{filecontents*}{3.csv}

0, 0

0.007957, -0.055479

0.010327, -0.065792

0.013265, -0.077471

0.016876, -0.090623

0.021278, -0.105355

0.026607, -0.121775

0.033015, -0.139989

0.040673, -0.160100

0.049771, -0.182208

0.060520, -0.206407

0.073158, -0.232783

0.087945, -0.261415

0.105170, -0.292368

0.125154, -0.325696

0.148248, -0.361432

0.174844, -0.399593

0.205373, -0.440170

0.280191, -0.528391

0.325606, -0.575855

0.377226, -0.625362

0.435812, -0.676699

0.502248, -0.729587

0.577578, -0.783662

0.663074, -0.838455

0.760352, -0.893359

0.871594, -0.947572

1.000000, -1.000000

end{filecontents*}





defreverseyaxis#1{%

    pgfmathparse{#1*-1}%

    pgfmathprintnumber{pgfmathresult}%

}



begin{document}



begin{tikzpicture}

        datavisualization [school book axes,

                            all axes={length=6cm},

                            x axis={min value=0,max value=1,ticks={step=0.5,minor steps between steps=4}},

                            y axis={min value=-1,max value=1,ticks={step=0.5,minor steps between steps=4,tick typesetter/.code=reverseyaxis{##1}}},

                            yscale=-1,

                            visualize as scatter]%



            data[headline={x, y}, read from file={1.csv}]

            data[headline={x, y}, read from file={2.csv}]

            data[headline={x, y}, read from file={3.csv}]

        ;

end{tikzpicture}



end{document}


datavisualization with flipped y-axis



You'll notice that the axis arrow is now pointing down. The axes visualizations are customizable, but I do not know exactly what you need...so I left it this way for now.



Approach #2: (image is the same as approach #1)



I found a slightly different way that doesn't require a new command and re-calculating the y-axis ticks. It's not automatic, however, and requires using the same length from all axes={length=6cm} (in my example). You need these three options in datavisualization:




  • all axes={length=6cm}


  • yscale=-1


  • y axis={min value=-1,max value=1,ticks={step=0.5,minor steps between
    steps=4,rotate=180,yshift=-6cm}}



Same code as above, but here is the tikzpicture code for version #2:



begin{tikzpicture}

        datavisualization [school book axes,

                            all axes={length=6cm},

                            x axis={min value=0,max value=1,ticks={step=0.5,minor steps between steps=4}},

                            yscale=-1,

                            y axis={min value=-1,max value=1,ticks={step=0.5,minor steps between steps=4,rotate=180,yshift=-6cm}},

                            visualize as scatter]%



            data[headline={x, y}, read from file={1.csv}]

            data[headline={x, y}, read from file={2.csv}]

            data[headline={x, y}, read from file={3.csv}]

        ;

end{tikzpicture}


The approach takes advantage of simply rotating the y-axis 180 degrees. The problem is that the pivot point is not as 0, but at the maximum value on the y-axis. Therefore, you need to shift it downwards by the length of the y-axis.






share|improve this answer



















  • 1




    @marmot I tried using before survey and after visualization, but it required putting together a data group. I was seeing if I could avoid doing that with this approach. I ended up stumbling upon the second approach which uses yshift after I realized you could 'cheat' with the axis rotation.
    – whatisit
    yesterday



















3














Thanks for updating your question!



I do not have much experience with data visualization. The only thing I can offer is a pgfplots version of your graph. There sign flip can be achieved simply by adding the key y dir=reverse.



documentclass[11pt, a4paper]{article}

usepackage[margin=2.5cm]{geometry}

usepackage{pgfplots}

pgfplotsset{compat=1.16}



usepackage{filecontents}

begin{filecontents*}{1.csv}

0, 0

0.020000, -0.000347

0.040000, -0.009989

0.060000, -0.033917

0.080000, -0.066399

0.100000, -0.102985

0.120000, -0.140917

0.140000, -0.178608

0.160000, -0.215232

0.180000, -0.250425

0.200000, -0.284078

0.220000, -0.316210

0.240000, -0.346897

0.260000, -0.376240

0.280000, -0.404339

0.300000, -0.431294

0.320000, -0.457194

0.340000, -0.482119

0.780000, -0.873711

0.800000, -0.886640

0.820000, -0.899258

0.840000, -0.911571

0.860000, -0.923589

0.880000, -0.935319

0.900000, -0.946767

0.920000, -0.957940

0.940000, -0.968844

0.960000, -0.979485

0.980000, -0.989869

1.000000, -1.000000

end{filecontents*}



begin{filecontents*}{2.csv}

0, 0

0.002644, -0.020000

0.006417, -0.040000

0.011080, -0.060000

0.016513, -0.080000

0.022645, -0.100000

0.029425, -0.120000

0.036820, -0.140000

0.044804, -0.160000

0.053358, -0.180000

0.062468, -0.200000

0.072123, -0.220000

0.082316, -0.240000

0.093042, -0.260000

0.104298, -0.280000

0.116083, -0.300000

0.128398, -0.320000

0.141246, -0.340000

0.154629, -0.360000

0.168553, -0.380000

0.183024, -0.400000

0.198051, -0.420000

0.213643, -0.440000

0.229810, -0.460000

0.246564, -0.480000

0.263919, -0.500000

0.281891, -0.520000

0.300496, -0.540000

0.643284, -0.820000

0.675487, -0.840000

0.709127, -0.860000

0.744333, -0.880000

0.781261, -0.900000

0.820097, -0.920000

0.861068, -0.940000

0.904455, -0.960000

0.950612, -0.980000

1.000000, -1.000000

end{filecontents*}



begin{filecontents*}{3.csv}

0, 0

0.007957, -0.055479

0.010327, -0.065792

0.013265, -0.077471

0.016876, -0.090623

0.021278, -0.105355

0.026607, -0.121775

0.033015, -0.139989

0.040673, -0.160100

0.049771, -0.182208

0.060520, -0.206407

0.073158, -0.232783

0.087945, -0.261415

0.105170, -0.292368

0.125154, -0.325696

0.148248, -0.361432

0.174844, -0.399593

0.205373, -0.440170

0.280191, -0.528391

0.325606, -0.575855

0.377226, -0.625362

0.435812, -0.676699

0.502248, -0.729587

0.577578, -0.783662

0.663074, -0.838455

0.760352, -0.893359

0.871594, -0.947572

1.000000, -1.000000

end{filecontents*}





begin{document}



begin{tikzpicture}

  begin{axis}[axis lines=middle,xlabel=$x$,ylabel=$y$,y dir=reverse,

    y axis line style={stealth-},xtick=empty,ytick=empty,enlargelimits=0.1]

    addplot+[only marks] table[header=false,x index=0,y index=1,col sep=comma] {1.csv};

    addplot+[only marks] table[header=false,x index=0,y index=1,col sep=comma] {2.csv};

    addplot+[only marks] table[header=false,x index=0,y index=1,col sep=comma] {3.csv};

  end{axis}

end{tikzpicture}

end{document}


enter image description here






share|improve this answer























  • I've added the filecontents above---I've extended with their tails to show what the complete graph looks like more or less. Thanks for your time. By the way, somehow one of the three graphs isn't even displaying now.
    – Anakhand
    yesterday












  • @Anakhand Before I had three times the same data, so points just got overwritten. I am sorry not to be able to provide you an elegant data visualization answer, but only a possible way to use pgfplots for that.
    – marmot
    yesterday











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3














Ok, this was a little tricky, but I was able to figure it out with data visualization. The approach scales the y-axis by -1 (as mentioned in my comment). As you mentioned, however, this also flips the axis values and not only the data.



Approach #1:



Perhaps this is not the most elegant approach, but you can forcibly "re-calculate" the y-value tick labels with:



defreverseyaxis#1{%

    pgfmathparse{#1*-1}%

    pgfmathprintnumber{pgfmathresult}%

}


And then update the ticks values within datavisualization parameters:



tick typesetter/.code=reverseyaxis{##1}


Here is a complete version, which I put into @marmot's answer above (except for the color coding):



% ---DOCUMENT CLASS---

documentclass[11pt, a4paper]{article}

usepackage[margin=2.5cm]{geometry}



% ---MISC. PACKAGES---

usepackage{pgfplots}



% ---TIKZ---

usepackage{tikz}

usetikzlibrary{datavisualization}



% ---PLOTS---

pgfplotsset{compat=1.16}



usepackage{filecontents}

begin{filecontents*}{1.csv}

0, 0

0.020000, -0.000347

0.040000, -0.009989

0.060000, -0.033917

0.080000, -0.066399

0.100000, -0.102985

0.120000, -0.140917

0.140000, -0.178608

0.160000, -0.215232

0.180000, -0.250425

0.200000, -0.284078

0.220000, -0.316210

0.240000, -0.346897

0.260000, -0.376240

0.280000, -0.404339

0.300000, -0.431294

0.320000, -0.457194

0.340000, -0.482119

0.780000, -0.873711

0.800000, -0.886640

0.820000, -0.899258

0.840000, -0.911571

0.860000, -0.923589

0.880000, -0.935319

0.900000, -0.946767

0.920000, -0.957940

0.940000, -0.968844

0.960000, -0.979485

0.980000, -0.989869

1.000000, -1.000000

end{filecontents*}



begin{filecontents*}{2.csv}

0, 0

0.002644, -0.020000

0.006417, -0.040000

0.011080, -0.060000

0.016513, -0.080000

0.022645, -0.100000

0.029425, -0.120000

0.036820, -0.140000

0.044804, -0.160000

0.053358, -0.180000

0.062468, -0.200000

0.072123, -0.220000

0.082316, -0.240000

0.093042, -0.260000

0.104298, -0.280000

0.116083, -0.300000

0.128398, -0.320000

0.141246, -0.340000

0.154629, -0.360000

0.168553, -0.380000

0.183024, -0.400000

0.198051, -0.420000

0.213643, -0.440000

0.229810, -0.460000

0.246564, -0.480000

0.263919, -0.500000

0.281891, -0.520000

0.300496, -0.540000

0.643284, -0.820000

0.675487, -0.840000

0.709127, -0.860000

0.744333, -0.880000

0.781261, -0.900000

0.820097, -0.920000

0.861068, -0.940000

0.904455, -0.960000

0.950612, -0.980000

1.000000, -1.000000

end{filecontents*}



begin{filecontents*}{3.csv}

0, 0

0.007957, -0.055479

0.010327, -0.065792

0.013265, -0.077471

0.016876, -0.090623

0.021278, -0.105355

0.026607, -0.121775

0.033015, -0.139989

0.040673, -0.160100

0.049771, -0.182208

0.060520, -0.206407

0.073158, -0.232783

0.087945, -0.261415

0.105170, -0.292368

0.125154, -0.325696

0.148248, -0.361432

0.174844, -0.399593

0.205373, -0.440170

0.280191, -0.528391

0.325606, -0.575855

0.377226, -0.625362

0.435812, -0.676699

0.502248, -0.729587

0.577578, -0.783662

0.663074, -0.838455

0.760352, -0.893359

0.871594, -0.947572

1.000000, -1.000000

end{filecontents*}





defreverseyaxis#1{%

    pgfmathparse{#1*-1}%

    pgfmathprintnumber{pgfmathresult}%

}



begin{document}



begin{tikzpicture}

        datavisualization [school book axes,

                            all axes={length=6cm},

                            x axis={min value=0,max value=1,ticks={step=0.5,minor steps between steps=4}},

                            y axis={min value=-1,max value=1,ticks={step=0.5,minor steps between steps=4,tick typesetter/.code=reverseyaxis{##1}}},

                            yscale=-1,

                            visualize as scatter]%



            data[headline={x, y}, read from file={1.csv}]

            data[headline={x, y}, read from file={2.csv}]

            data[headline={x, y}, read from file={3.csv}]

        ;

end{tikzpicture}



end{document}


datavisualization with flipped y-axis



You'll notice that the axis arrow is now pointing down. The axes visualizations are customizable, but I do not know exactly what you need...so I left it this way for now.



Approach #2: (image is the same as approach #1)



I found a slightly different way that doesn't require a new command and re-calculating the y-axis ticks. It's not automatic, however, and requires using the same length from all axes={length=6cm} (in my example). You need these three options in datavisualization:




  • all axes={length=6cm}


  • yscale=-1


  • y axis={min value=-1,max value=1,ticks={step=0.5,minor steps between
    steps=4,rotate=180,yshift=-6cm}}



Same code as above, but here is the tikzpicture code for version #2:



begin{tikzpicture}

        datavisualization [school book axes,

                            all axes={length=6cm},

                            x axis={min value=0,max value=1,ticks={step=0.5,minor steps between steps=4}},

                            yscale=-1,

                            y axis={min value=-1,max value=1,ticks={step=0.5,minor steps between steps=4,rotate=180,yshift=-6cm}},

                            visualize as scatter]%



            data[headline={x, y}, read from file={1.csv}]

            data[headline={x, y}, read from file={2.csv}]

            data[headline={x, y}, read from file={3.csv}]

        ;

end{tikzpicture}


The approach takes advantage of simply rotating the y-axis 180 degrees. The problem is that the pivot point is not as 0, but at the maximum value on the y-axis. Therefore, you need to shift it downwards by the length of the y-axis.






share|improve this answer



















  • 1




    @marmot I tried using before survey and after visualization, but it required putting together a data group. I was seeing if I could avoid doing that with this approach. I ended up stumbling upon the second approach which uses yshift after I realized you could 'cheat' with the axis rotation.
    – whatisit
    yesterday
















3














Ok, this was a little tricky, but I was able to figure it out with data visualization. The approach scales the y-axis by -1 (as mentioned in my comment). As you mentioned, however, this also flips the axis values and not only the data.



Approach #1:



Perhaps this is not the most elegant approach, but you can forcibly "re-calculate" the y-value tick labels with:



defreverseyaxis#1{%

    pgfmathparse{#1*-1}%

    pgfmathprintnumber{pgfmathresult}%

}


And then update the ticks values within datavisualization parameters:



tick typesetter/.code=reverseyaxis{##1}


Here is a complete version, which I put into @marmot's answer above (except for the color coding):



% ---DOCUMENT CLASS---

documentclass[11pt, a4paper]{article}

usepackage[margin=2.5cm]{geometry}



% ---MISC. PACKAGES---

usepackage{pgfplots}



% ---TIKZ---

usepackage{tikz}

usetikzlibrary{datavisualization}



% ---PLOTS---

pgfplotsset{compat=1.16}



usepackage{filecontents}

begin{filecontents*}{1.csv}

0, 0

0.020000, -0.000347

0.040000, -0.009989

0.060000, -0.033917

0.080000, -0.066399

0.100000, -0.102985

0.120000, -0.140917

0.140000, -0.178608

0.160000, -0.215232

0.180000, -0.250425

0.200000, -0.284078

0.220000, -0.316210

0.240000, -0.346897

0.260000, -0.376240

0.280000, -0.404339

0.300000, -0.431294

0.320000, -0.457194

0.340000, -0.482119

0.780000, -0.873711

0.800000, -0.886640

0.820000, -0.899258

0.840000, -0.911571

0.860000, -0.923589

0.880000, -0.935319

0.900000, -0.946767

0.920000, -0.957940

0.940000, -0.968844

0.960000, -0.979485

0.980000, -0.989869

1.000000, -1.000000

end{filecontents*}



begin{filecontents*}{2.csv}

0, 0

0.002644, -0.020000

0.006417, -0.040000

0.011080, -0.060000

0.016513, -0.080000

0.022645, -0.100000

0.029425, -0.120000

0.036820, -0.140000

0.044804, -0.160000

0.053358, -0.180000

0.062468, -0.200000

0.072123, -0.220000

0.082316, -0.240000

0.093042, -0.260000

0.104298, -0.280000

0.116083, -0.300000

0.128398, -0.320000

0.141246, -0.340000

0.154629, -0.360000

0.168553, -0.380000

0.183024, -0.400000

0.198051, -0.420000

0.213643, -0.440000

0.229810, -0.460000

0.246564, -0.480000

0.263919, -0.500000

0.281891, -0.520000

0.300496, -0.540000

0.643284, -0.820000

0.675487, -0.840000

0.709127, -0.860000

0.744333, -0.880000

0.781261, -0.900000

0.820097, -0.920000

0.861068, -0.940000

0.904455, -0.960000

0.950612, -0.980000

1.000000, -1.000000

end{filecontents*}



begin{filecontents*}{3.csv}

0, 0

0.007957, -0.055479

0.010327, -0.065792

0.013265, -0.077471

0.016876, -0.090623

0.021278, -0.105355

0.026607, -0.121775

0.033015, -0.139989

0.040673, -0.160100

0.049771, -0.182208

0.060520, -0.206407

0.073158, -0.232783

0.087945, -0.261415

0.105170, -0.292368

0.125154, -0.325696

0.148248, -0.361432

0.174844, -0.399593

0.205373, -0.440170

0.280191, -0.528391

0.325606, -0.575855

0.377226, -0.625362

0.435812, -0.676699

0.502248, -0.729587

0.577578, -0.783662

0.663074, -0.838455

0.760352, -0.893359

0.871594, -0.947572

1.000000, -1.000000

end{filecontents*}





defreverseyaxis#1{%

    pgfmathparse{#1*-1}%

    pgfmathprintnumber{pgfmathresult}%

}



begin{document}



begin{tikzpicture}

        datavisualization [school book axes,

                            all axes={length=6cm},

                            x axis={min value=0,max value=1,ticks={step=0.5,minor steps between steps=4}},

                            y axis={min value=-1,max value=1,ticks={step=0.5,minor steps between steps=4,tick typesetter/.code=reverseyaxis{##1}}},

                            yscale=-1,

                            visualize as scatter]%



            data[headline={x, y}, read from file={1.csv}]

            data[headline={x, y}, read from file={2.csv}]

            data[headline={x, y}, read from file={3.csv}]

        ;

end{tikzpicture}



end{document}


datavisualization with flipped y-axis



You'll notice that the axis arrow is now pointing down. The axes visualizations are customizable, but I do not know exactly what you need...so I left it this way for now.



Approach #2: (image is the same as approach #1)



I found a slightly different way that doesn't require a new command and re-calculating the y-axis ticks. It's not automatic, however, and requires using the same length from all axes={length=6cm} (in my example). You need these three options in datavisualization:




  • all axes={length=6cm}


  • yscale=-1


  • y axis={min value=-1,max value=1,ticks={step=0.5,minor steps between
    steps=4,rotate=180,yshift=-6cm}}



Same code as above, but here is the tikzpicture code for version #2:



begin{tikzpicture}

        datavisualization [school book axes,

                            all axes={length=6cm},

                            x axis={min value=0,max value=1,ticks={step=0.5,minor steps between steps=4}},

                            yscale=-1,

                            y axis={min value=-1,max value=1,ticks={step=0.5,minor steps between steps=4,rotate=180,yshift=-6cm}},

                            visualize as scatter]%



            data[headline={x, y}, read from file={1.csv}]

            data[headline={x, y}, read from file={2.csv}]

            data[headline={x, y}, read from file={3.csv}]

        ;

end{tikzpicture}


The approach takes advantage of simply rotating the y-axis 180 degrees. The problem is that the pivot point is not as 0, but at the maximum value on the y-axis. Therefore, you need to shift it downwards by the length of the y-axis.






share|improve this answer



















  • 1




    @marmot I tried using before survey and after visualization, but it required putting together a data group. I was seeing if I could avoid doing that with this approach. I ended up stumbling upon the second approach which uses yshift after I realized you could 'cheat' with the axis rotation.
    – whatisit
    yesterday














3












3








3






Ok, this was a little tricky, but I was able to figure it out with data visualization. The approach scales the y-axis by -1 (as mentioned in my comment). As you mentioned, however, this also flips the axis values and not only the data.



Approach #1:



Perhaps this is not the most elegant approach, but you can forcibly "re-calculate" the y-value tick labels with:



defreverseyaxis#1{%

    pgfmathparse{#1*-1}%

    pgfmathprintnumber{pgfmathresult}%

}


And then update the ticks values within datavisualization parameters:



tick typesetter/.code=reverseyaxis{##1}


Here is a complete version, which I put into @marmot's answer above (except for the color coding):



% ---DOCUMENT CLASS---

documentclass[11pt, a4paper]{article}

usepackage[margin=2.5cm]{geometry}



% ---MISC. PACKAGES---

usepackage{pgfplots}



% ---TIKZ---

usepackage{tikz}

usetikzlibrary{datavisualization}



% ---PLOTS---

pgfplotsset{compat=1.16}



usepackage{filecontents}

begin{filecontents*}{1.csv}

0, 0

0.020000, -0.000347

0.040000, -0.009989

0.060000, -0.033917

0.080000, -0.066399

0.100000, -0.102985

0.120000, -0.140917

0.140000, -0.178608

0.160000, -0.215232

0.180000, -0.250425

0.200000, -0.284078

0.220000, -0.316210

0.240000, -0.346897

0.260000, -0.376240

0.280000, -0.404339

0.300000, -0.431294

0.320000, -0.457194

0.340000, -0.482119

0.780000, -0.873711

0.800000, -0.886640

0.820000, -0.899258

0.840000, -0.911571

0.860000, -0.923589

0.880000, -0.935319

0.900000, -0.946767

0.920000, -0.957940

0.940000, -0.968844

0.960000, -0.979485

0.980000, -0.989869

1.000000, -1.000000

end{filecontents*}



begin{filecontents*}{2.csv}

0, 0

0.002644, -0.020000

0.006417, -0.040000

0.011080, -0.060000

0.016513, -0.080000

0.022645, -0.100000

0.029425, -0.120000

0.036820, -0.140000

0.044804, -0.160000

0.053358, -0.180000

0.062468, -0.200000

0.072123, -0.220000

0.082316, -0.240000

0.093042, -0.260000

0.104298, -0.280000

0.116083, -0.300000

0.128398, -0.320000

0.141246, -0.340000

0.154629, -0.360000

0.168553, -0.380000

0.183024, -0.400000

0.198051, -0.420000

0.213643, -0.440000

0.229810, -0.460000

0.246564, -0.480000

0.263919, -0.500000

0.281891, -0.520000

0.300496, -0.540000

0.643284, -0.820000

0.675487, -0.840000

0.709127, -0.860000

0.744333, -0.880000

0.781261, -0.900000

0.820097, -0.920000

0.861068, -0.940000

0.904455, -0.960000

0.950612, -0.980000

1.000000, -1.000000

end{filecontents*}



begin{filecontents*}{3.csv}

0, 0

0.007957, -0.055479

0.010327, -0.065792

0.013265, -0.077471

0.016876, -0.090623

0.021278, -0.105355

0.026607, -0.121775

0.033015, -0.139989

0.040673, -0.160100

0.049771, -0.182208

0.060520, -0.206407

0.073158, -0.232783

0.087945, -0.261415

0.105170, -0.292368

0.125154, -0.325696

0.148248, -0.361432

0.174844, -0.399593

0.205373, -0.440170

0.280191, -0.528391

0.325606, -0.575855

0.377226, -0.625362

0.435812, -0.676699

0.502248, -0.729587

0.577578, -0.783662

0.663074, -0.838455

0.760352, -0.893359

0.871594, -0.947572

1.000000, -1.000000

end{filecontents*}





defreverseyaxis#1{%

    pgfmathparse{#1*-1}%

    pgfmathprintnumber{pgfmathresult}%

}



begin{document}



begin{tikzpicture}

        datavisualization [school book axes,

                            all axes={length=6cm},

                            x axis={min value=0,max value=1,ticks={step=0.5,minor steps between steps=4}},

                            y axis={min value=-1,max value=1,ticks={step=0.5,minor steps between steps=4,tick typesetter/.code=reverseyaxis{##1}}},

                            yscale=-1,

                            visualize as scatter]%



            data[headline={x, y}, read from file={1.csv}]

            data[headline={x, y}, read from file={2.csv}]

            data[headline={x, y}, read from file={3.csv}]

        ;

end{tikzpicture}



end{document}


datavisualization with flipped y-axis



You'll notice that the axis arrow is now pointing down. The axes visualizations are customizable, but I do not know exactly what you need...so I left it this way for now.



Approach #2: (image is the same as approach #1)



I found a slightly different way that doesn't require a new command and re-calculating the y-axis ticks. It's not automatic, however, and requires using the same length from all axes={length=6cm} (in my example). You need these three options in datavisualization:




  • all axes={length=6cm}


  • yscale=-1


  • y axis={min value=-1,max value=1,ticks={step=0.5,minor steps between
    steps=4,rotate=180,yshift=-6cm}}



Same code as above, but here is the tikzpicture code for version #2:



begin{tikzpicture}

        datavisualization [school book axes,

                            all axes={length=6cm},

                            x axis={min value=0,max value=1,ticks={step=0.5,minor steps between steps=4}},

                            yscale=-1,

                            y axis={min value=-1,max value=1,ticks={step=0.5,minor steps between steps=4,rotate=180,yshift=-6cm}},

                            visualize as scatter]%



            data[headline={x, y}, read from file={1.csv}]

            data[headline={x, y}, read from file={2.csv}]

            data[headline={x, y}, read from file={3.csv}]

        ;

end{tikzpicture}


The approach takes advantage of simply rotating the y-axis 180 degrees. The problem is that the pivot point is not as 0, but at the maximum value on the y-axis. Therefore, you need to shift it downwards by the length of the y-axis.






share|improve this answer














Ok, this was a little tricky, but I was able to figure it out with data visualization. The approach scales the y-axis by -1 (as mentioned in my comment). As you mentioned, however, this also flips the axis values and not only the data.



Approach #1:



Perhaps this is not the most elegant approach, but you can forcibly "re-calculate" the y-value tick labels with:



defreverseyaxis#1{%

    pgfmathparse{#1*-1}%

    pgfmathprintnumber{pgfmathresult}%

}


And then update the ticks values within datavisualization parameters:



tick typesetter/.code=reverseyaxis{##1}


Here is a complete version, which I put into @marmot's answer above (except for the color coding):



% ---DOCUMENT CLASS---

documentclass[11pt, a4paper]{article}

usepackage[margin=2.5cm]{geometry}



% ---MISC. PACKAGES---

usepackage{pgfplots}



% ---TIKZ---

usepackage{tikz}

usetikzlibrary{datavisualization}



% ---PLOTS---

pgfplotsset{compat=1.16}



usepackage{filecontents}

begin{filecontents*}{1.csv}

0, 0

0.020000, -0.000347

0.040000, -0.009989

0.060000, -0.033917

0.080000, -0.066399

0.100000, -0.102985

0.120000, -0.140917

0.140000, -0.178608

0.160000, -0.215232

0.180000, -0.250425

0.200000, -0.284078

0.220000, -0.316210

0.240000, -0.346897

0.260000, -0.376240

0.280000, -0.404339

0.300000, -0.431294

0.320000, -0.457194

0.340000, -0.482119

0.780000, -0.873711

0.800000, -0.886640

0.820000, -0.899258

0.840000, -0.911571

0.860000, -0.923589

0.880000, -0.935319

0.900000, -0.946767

0.920000, -0.957940

0.940000, -0.968844

0.960000, -0.979485

0.980000, -0.989869

1.000000, -1.000000

end{filecontents*}



begin{filecontents*}{2.csv}

0, 0

0.002644, -0.020000

0.006417, -0.040000

0.011080, -0.060000

0.016513, -0.080000

0.022645, -0.100000

0.029425, -0.120000

0.036820, -0.140000

0.044804, -0.160000

0.053358, -0.180000

0.062468, -0.200000

0.072123, -0.220000

0.082316, -0.240000

0.093042, -0.260000

0.104298, -0.280000

0.116083, -0.300000

0.128398, -0.320000

0.141246, -0.340000

0.154629, -0.360000

0.168553, -0.380000

0.183024, -0.400000

0.198051, -0.420000

0.213643, -0.440000

0.229810, -0.460000

0.246564, -0.480000

0.263919, -0.500000

0.281891, -0.520000

0.300496, -0.540000

0.643284, -0.820000

0.675487, -0.840000

0.709127, -0.860000

0.744333, -0.880000

0.781261, -0.900000

0.820097, -0.920000

0.861068, -0.940000

0.904455, -0.960000

0.950612, -0.980000

1.000000, -1.000000

end{filecontents*}



begin{filecontents*}{3.csv}

0, 0

0.007957, -0.055479

0.010327, -0.065792

0.013265, -0.077471

0.016876, -0.090623

0.021278, -0.105355

0.026607, -0.121775

0.033015, -0.139989

0.040673, -0.160100

0.049771, -0.182208

0.060520, -0.206407

0.073158, -0.232783

0.087945, -0.261415

0.105170, -0.292368

0.125154, -0.325696

0.148248, -0.361432

0.174844, -0.399593

0.205373, -0.440170

0.280191, -0.528391

0.325606, -0.575855

0.377226, -0.625362

0.435812, -0.676699

0.502248, -0.729587

0.577578, -0.783662

0.663074, -0.838455

0.760352, -0.893359

0.871594, -0.947572

1.000000, -1.000000

end{filecontents*}





defreverseyaxis#1{%

    pgfmathparse{#1*-1}%

    pgfmathprintnumber{pgfmathresult}%

}



begin{document}



begin{tikzpicture}

        datavisualization [school book axes,

                            all axes={length=6cm},

                            x axis={min value=0,max value=1,ticks={step=0.5,minor steps between steps=4}},

                            y axis={min value=-1,max value=1,ticks={step=0.5,minor steps between steps=4,tick typesetter/.code=reverseyaxis{##1}}},

                            yscale=-1,

                            visualize as scatter]%



            data[headline={x, y}, read from file={1.csv}]

            data[headline={x, y}, read from file={2.csv}]

            data[headline={x, y}, read from file={3.csv}]

        ;

end{tikzpicture}



end{document}


datavisualization with flipped y-axis



You'll notice that the axis arrow is now pointing down. The axes visualizations are customizable, but I do not know exactly what you need...so I left it this way for now.



Approach #2: (image is the same as approach #1)



I found a slightly different way that doesn't require a new command and re-calculating the y-axis ticks. It's not automatic, however, and requires using the same length from all axes={length=6cm} (in my example). You need these three options in datavisualization:




  • all axes={length=6cm}


  • yscale=-1


  • y axis={min value=-1,max value=1,ticks={step=0.5,minor steps between
    steps=4,rotate=180,yshift=-6cm}}



Same code as above, but here is the tikzpicture code for version #2:



begin{tikzpicture}

        datavisualization [school book axes,

                            all axes={length=6cm},

                            x axis={min value=0,max value=1,ticks={step=0.5,minor steps between steps=4}},

                            yscale=-1,

                            y axis={min value=-1,max value=1,ticks={step=0.5,minor steps between steps=4,rotate=180,yshift=-6cm}},

                            visualize as scatter]%



            data[headline={x, y}, read from file={1.csv}]

            data[headline={x, y}, read from file={2.csv}]

            data[headline={x, y}, read from file={3.csv}]

        ;

end{tikzpicture}


The approach takes advantage of simply rotating the y-axis 180 degrees. The problem is that the pivot point is not as 0, but at the maximum value on the y-axis. Therefore, you need to shift it downwards by the length of the y-axis.







share|improve this answer














share|improve this answer



share|improve this answer








edited yesterday

























answered yesterday









whatisit

982313




982313








  • 1




    @marmot I tried using before survey and after visualization, but it required putting together a data group. I was seeing if I could avoid doing that with this approach. I ended up stumbling upon the second approach which uses yshift after I realized you could 'cheat' with the axis rotation.
    – whatisit
    yesterday














  • 1




    @marmot I tried using before survey and after visualization, but it required putting together a data group. I was seeing if I could avoid doing that with this approach. I ended up stumbling upon the second approach which uses yshift after I realized you could 'cheat' with the axis rotation.
    – whatisit
    yesterday








1




1




@marmot I tried using before survey and after visualization, but it required putting together a data group. I was seeing if I could avoid doing that with this approach. I ended up stumbling upon the second approach which uses yshift after I realized you could 'cheat' with the axis rotation.
– whatisit
yesterday




@marmot I tried using before survey and after visualization, but it required putting together a data group. I was seeing if I could avoid doing that with this approach. I ended up stumbling upon the second approach which uses yshift after I realized you could 'cheat' with the axis rotation.
– whatisit
yesterday











3














Thanks for updating your question!



I do not have much experience with data visualization. The only thing I can offer is a pgfplots version of your graph. There sign flip can be achieved simply by adding the key y dir=reverse.



documentclass[11pt, a4paper]{article}

usepackage[margin=2.5cm]{geometry}

usepackage{pgfplots}

pgfplotsset{compat=1.16}



usepackage{filecontents}

begin{filecontents*}{1.csv}

0, 0

0.020000, -0.000347

0.040000, -0.009989

0.060000, -0.033917

0.080000, -0.066399

0.100000, -0.102985

0.120000, -0.140917

0.140000, -0.178608

0.160000, -0.215232

0.180000, -0.250425

0.200000, -0.284078

0.220000, -0.316210

0.240000, -0.346897

0.260000, -0.376240

0.280000, -0.404339

0.300000, -0.431294

0.320000, -0.457194

0.340000, -0.482119

0.780000, -0.873711

0.800000, -0.886640

0.820000, -0.899258

0.840000, -0.911571

0.860000, -0.923589

0.880000, -0.935319

0.900000, -0.946767

0.920000, -0.957940

0.940000, -0.968844

0.960000, -0.979485

0.980000, -0.989869

1.000000, -1.000000

end{filecontents*}



begin{filecontents*}{2.csv}

0, 0

0.002644, -0.020000

0.006417, -0.040000

0.011080, -0.060000

0.016513, -0.080000

0.022645, -0.100000

0.029425, -0.120000

0.036820, -0.140000

0.044804, -0.160000

0.053358, -0.180000

0.062468, -0.200000

0.072123, -0.220000

0.082316, -0.240000

0.093042, -0.260000

0.104298, -0.280000

0.116083, -0.300000

0.128398, -0.320000

0.141246, -0.340000

0.154629, -0.360000

0.168553, -0.380000

0.183024, -0.400000

0.198051, -0.420000

0.213643, -0.440000

0.229810, -0.460000

0.246564, -0.480000

0.263919, -0.500000

0.281891, -0.520000

0.300496, -0.540000

0.643284, -0.820000

0.675487, -0.840000

0.709127, -0.860000

0.744333, -0.880000

0.781261, -0.900000

0.820097, -0.920000

0.861068, -0.940000

0.904455, -0.960000

0.950612, -0.980000

1.000000, -1.000000

end{filecontents*}



begin{filecontents*}{3.csv}

0, 0

0.007957, -0.055479

0.010327, -0.065792

0.013265, -0.077471

0.016876, -0.090623

0.021278, -0.105355

0.026607, -0.121775

0.033015, -0.139989

0.040673, -0.160100

0.049771, -0.182208

0.060520, -0.206407

0.073158, -0.232783

0.087945, -0.261415

0.105170, -0.292368

0.125154, -0.325696

0.148248, -0.361432

0.174844, -0.399593

0.205373, -0.440170

0.280191, -0.528391

0.325606, -0.575855

0.377226, -0.625362

0.435812, -0.676699

0.502248, -0.729587

0.577578, -0.783662

0.663074, -0.838455

0.760352, -0.893359

0.871594, -0.947572

1.000000, -1.000000

end{filecontents*}





begin{document}



begin{tikzpicture}

  begin{axis}[axis lines=middle,xlabel=$x$,ylabel=$y$,y dir=reverse,

    y axis line style={stealth-},xtick=empty,ytick=empty,enlargelimits=0.1]

    addplot+[only marks] table[header=false,x index=0,y index=1,col sep=comma] {1.csv};

    addplot+[only marks] table[header=false,x index=0,y index=1,col sep=comma] {2.csv};

    addplot+[only marks] table[header=false,x index=0,y index=1,col sep=comma] {3.csv};

  end{axis}

end{tikzpicture}

end{document}


enter image description here






share|improve this answer























  • I've added the filecontents above---I've extended with their tails to show what the complete graph looks like more or less. Thanks for your time. By the way, somehow one of the three graphs isn't even displaying now.
    – Anakhand
    yesterday












  • @Anakhand Before I had three times the same data, so points just got overwritten. I am sorry not to be able to provide you an elegant data visualization answer, but only a possible way to use pgfplots for that.
    – marmot
    yesterday
















3














Thanks for updating your question!



I do not have much experience with data visualization. The only thing I can offer is a pgfplots version of your graph. There sign flip can be achieved simply by adding the key y dir=reverse.



documentclass[11pt, a4paper]{article}

usepackage[margin=2.5cm]{geometry}

usepackage{pgfplots}

pgfplotsset{compat=1.16}



usepackage{filecontents}

begin{filecontents*}{1.csv}

0, 0

0.020000, -0.000347

0.040000, -0.009989

0.060000, -0.033917

0.080000, -0.066399

0.100000, -0.102985

0.120000, -0.140917

0.140000, -0.178608

0.160000, -0.215232

0.180000, -0.250425

0.200000, -0.284078

0.220000, -0.316210

0.240000, -0.346897

0.260000, -0.376240

0.280000, -0.404339

0.300000, -0.431294

0.320000, -0.457194

0.340000, -0.482119

0.780000, -0.873711

0.800000, -0.886640

0.820000, -0.899258

0.840000, -0.911571

0.860000, -0.923589

0.880000, -0.935319

0.900000, -0.946767

0.920000, -0.957940

0.940000, -0.968844

0.960000, -0.979485

0.980000, -0.989869

1.000000, -1.000000

end{filecontents*}



begin{filecontents*}{2.csv}

0, 0

0.002644, -0.020000

0.006417, -0.040000

0.011080, -0.060000

0.016513, -0.080000

0.022645, -0.100000

0.029425, -0.120000

0.036820, -0.140000

0.044804, -0.160000

0.053358, -0.180000

0.062468, -0.200000

0.072123, -0.220000

0.082316, -0.240000

0.093042, -0.260000

0.104298, -0.280000

0.116083, -0.300000

0.128398, -0.320000

0.141246, -0.340000

0.154629, -0.360000

0.168553, -0.380000

0.183024, -0.400000

0.198051, -0.420000

0.213643, -0.440000

0.229810, -0.460000

0.246564, -0.480000

0.263919, -0.500000

0.281891, -0.520000

0.300496, -0.540000

0.643284, -0.820000

0.675487, -0.840000

0.709127, -0.860000

0.744333, -0.880000

0.781261, -0.900000

0.820097, -0.920000

0.861068, -0.940000

0.904455, -0.960000

0.950612, -0.980000

1.000000, -1.000000

end{filecontents*}



begin{filecontents*}{3.csv}

0, 0

0.007957, -0.055479

0.010327, -0.065792

0.013265, -0.077471

0.016876, -0.090623

0.021278, -0.105355

0.026607, -0.121775

0.033015, -0.139989

0.040673, -0.160100

0.049771, -0.182208

0.060520, -0.206407

0.073158, -0.232783

0.087945, -0.261415

0.105170, -0.292368

0.125154, -0.325696

0.148248, -0.361432

0.174844, -0.399593

0.205373, -0.440170

0.280191, -0.528391

0.325606, -0.575855

0.377226, -0.625362

0.435812, -0.676699

0.502248, -0.729587

0.577578, -0.783662

0.663074, -0.838455

0.760352, -0.893359

0.871594, -0.947572

1.000000, -1.000000

end{filecontents*}





begin{document}



begin{tikzpicture}

  begin{axis}[axis lines=middle,xlabel=$x$,ylabel=$y$,y dir=reverse,

    y axis line style={stealth-},xtick=empty,ytick=empty,enlargelimits=0.1]

    addplot+[only marks] table[header=false,x index=0,y index=1,col sep=comma] {1.csv};

    addplot+[only marks] table[header=false,x index=0,y index=1,col sep=comma] {2.csv};

    addplot+[only marks] table[header=false,x index=0,y index=1,col sep=comma] {3.csv};

  end{axis}

end{tikzpicture}

end{document}


enter image description here






share|improve this answer























  • I've added the filecontents above---I've extended with their tails to show what the complete graph looks like more or less. Thanks for your time. By the way, somehow one of the three graphs isn't even displaying now.
    – Anakhand
    yesterday












  • @Anakhand Before I had three times the same data, so points just got overwritten. I am sorry not to be able to provide you an elegant data visualization answer, but only a possible way to use pgfplots for that.
    – marmot
    yesterday














3












3








3






Thanks for updating your question!



I do not have much experience with data visualization. The only thing I can offer is a pgfplots version of your graph. There sign flip can be achieved simply by adding the key y dir=reverse.



documentclass[11pt, a4paper]{article}

usepackage[margin=2.5cm]{geometry}

usepackage{pgfplots}

pgfplotsset{compat=1.16}



usepackage{filecontents}

begin{filecontents*}{1.csv}

0, 0

0.020000, -0.000347

0.040000, -0.009989

0.060000, -0.033917

0.080000, -0.066399

0.100000, -0.102985

0.120000, -0.140917

0.140000, -0.178608

0.160000, -0.215232

0.180000, -0.250425

0.200000, -0.284078

0.220000, -0.316210

0.240000, -0.346897

0.260000, -0.376240

0.280000, -0.404339

0.300000, -0.431294

0.320000, -0.457194

0.340000, -0.482119

0.780000, -0.873711

0.800000, -0.886640

0.820000, -0.899258

0.840000, -0.911571

0.860000, -0.923589

0.880000, -0.935319

0.900000, -0.946767

0.920000, -0.957940

0.940000, -0.968844

0.960000, -0.979485

0.980000, -0.989869

1.000000, -1.000000

end{filecontents*}



begin{filecontents*}{2.csv}

0, 0

0.002644, -0.020000

0.006417, -0.040000

0.011080, -0.060000

0.016513, -0.080000

0.022645, -0.100000

0.029425, -0.120000

0.036820, -0.140000

0.044804, -0.160000

0.053358, -0.180000

0.062468, -0.200000

0.072123, -0.220000

0.082316, -0.240000

0.093042, -0.260000

0.104298, -0.280000

0.116083, -0.300000

0.128398, -0.320000

0.141246, -0.340000

0.154629, -0.360000

0.168553, -0.380000

0.183024, -0.400000

0.198051, -0.420000

0.213643, -0.440000

0.229810, -0.460000

0.246564, -0.480000

0.263919, -0.500000

0.281891, -0.520000

0.300496, -0.540000

0.643284, -0.820000

0.675487, -0.840000

0.709127, -0.860000

0.744333, -0.880000

0.781261, -0.900000

0.820097, -0.920000

0.861068, -0.940000

0.904455, -0.960000

0.950612, -0.980000

1.000000, -1.000000

end{filecontents*}



begin{filecontents*}{3.csv}

0, 0

0.007957, -0.055479

0.010327, -0.065792

0.013265, -0.077471

0.016876, -0.090623

0.021278, -0.105355

0.026607, -0.121775

0.033015, -0.139989

0.040673, -0.160100

0.049771, -0.182208

0.060520, -0.206407

0.073158, -0.232783

0.087945, -0.261415

0.105170, -0.292368

0.125154, -0.325696

0.148248, -0.361432

0.174844, -0.399593

0.205373, -0.440170

0.280191, -0.528391

0.325606, -0.575855

0.377226, -0.625362

0.435812, -0.676699

0.502248, -0.729587

0.577578, -0.783662

0.663074, -0.838455

0.760352, -0.893359

0.871594, -0.947572

1.000000, -1.000000

end{filecontents*}





begin{document}



begin{tikzpicture}

  begin{axis}[axis lines=middle,xlabel=$x$,ylabel=$y$,y dir=reverse,

    y axis line style={stealth-},xtick=empty,ytick=empty,enlargelimits=0.1]

    addplot+[only marks] table[header=false,x index=0,y index=1,col sep=comma] {1.csv};

    addplot+[only marks] table[header=false,x index=0,y index=1,col sep=comma] {2.csv};

    addplot+[only marks] table[header=false,x index=0,y index=1,col sep=comma] {3.csv};

  end{axis}

end{tikzpicture}

end{document}


enter image description here






share|improve this answer














Thanks for updating your question!



I do not have much experience with data visualization. The only thing I can offer is a pgfplots version of your graph. There sign flip can be achieved simply by adding the key y dir=reverse.



documentclass[11pt, a4paper]{article}

usepackage[margin=2.5cm]{geometry}

usepackage{pgfplots}

pgfplotsset{compat=1.16}



usepackage{filecontents}

begin{filecontents*}{1.csv}

0, 0

0.020000, -0.000347

0.040000, -0.009989

0.060000, -0.033917

0.080000, -0.066399

0.100000, -0.102985

0.120000, -0.140917

0.140000, -0.178608

0.160000, -0.215232

0.180000, -0.250425

0.200000, -0.284078

0.220000, -0.316210

0.240000, -0.346897

0.260000, -0.376240

0.280000, -0.404339

0.300000, -0.431294

0.320000, -0.457194

0.340000, -0.482119

0.780000, -0.873711

0.800000, -0.886640

0.820000, -0.899258

0.840000, -0.911571

0.860000, -0.923589

0.880000, -0.935319

0.900000, -0.946767

0.920000, -0.957940

0.940000, -0.968844

0.960000, -0.979485

0.980000, -0.989869

1.000000, -1.000000

end{filecontents*}



begin{filecontents*}{2.csv}

0, 0

0.002644, -0.020000

0.006417, -0.040000

0.011080, -0.060000

0.016513, -0.080000

0.022645, -0.100000

0.029425, -0.120000

0.036820, -0.140000

0.044804, -0.160000

0.053358, -0.180000

0.062468, -0.200000

0.072123, -0.220000

0.082316, -0.240000

0.093042, -0.260000

0.104298, -0.280000

0.116083, -0.300000

0.128398, -0.320000

0.141246, -0.340000

0.154629, -0.360000

0.168553, -0.380000

0.183024, -0.400000

0.198051, -0.420000

0.213643, -0.440000

0.229810, -0.460000

0.246564, -0.480000

0.263919, -0.500000

0.281891, -0.520000

0.300496, -0.540000

0.643284, -0.820000

0.675487, -0.840000

0.709127, -0.860000

0.744333, -0.880000

0.781261, -0.900000

0.820097, -0.920000

0.861068, -0.940000

0.904455, -0.960000

0.950612, -0.980000

1.000000, -1.000000

end{filecontents*}



begin{filecontents*}{3.csv}

0, 0

0.007957, -0.055479

0.010327, -0.065792

0.013265, -0.077471

0.016876, -0.090623

0.021278, -0.105355

0.026607, -0.121775

0.033015, -0.139989

0.040673, -0.160100

0.049771, -0.182208

0.060520, -0.206407

0.073158, -0.232783

0.087945, -0.261415

0.105170, -0.292368

0.125154, -0.325696

0.148248, -0.361432

0.174844, -0.399593

0.205373, -0.440170

0.280191, -0.528391

0.325606, -0.575855

0.377226, -0.625362

0.435812, -0.676699

0.502248, -0.729587

0.577578, -0.783662

0.663074, -0.838455

0.760352, -0.893359

0.871594, -0.947572

1.000000, -1.000000

end{filecontents*}





begin{document}



begin{tikzpicture}

  begin{axis}[axis lines=middle,xlabel=$x$,ylabel=$y$,y dir=reverse,

    y axis line style={stealth-},xtick=empty,ytick=empty,enlargelimits=0.1]

    addplot+[only marks] table[header=false,x index=0,y index=1,col sep=comma] {1.csv};

    addplot+[only marks] table[header=false,x index=0,y index=1,col sep=comma] {2.csv};

    addplot+[only marks] table[header=false,x index=0,y index=1,col sep=comma] {3.csv};

  end{axis}

end{tikzpicture}

end{document}


enter image description here







share|improve this answer














share|improve this answer



share|improve this answer








edited yesterday

























answered yesterday









marmot

88.9k4102191




88.9k4102191












  • I've added the filecontents above---I've extended with their tails to show what the complete graph looks like more or less. Thanks for your time. By the way, somehow one of the three graphs isn't even displaying now.
    – Anakhand
    yesterday












  • @Anakhand Before I had three times the same data, so points just got overwritten. I am sorry not to be able to provide you an elegant data visualization answer, but only a possible way to use pgfplots for that.
    – marmot
    yesterday


















  • I've added the filecontents above---I've extended with their tails to show what the complete graph looks like more or less. Thanks for your time. By the way, somehow one of the three graphs isn't even displaying now.
    – Anakhand
    yesterday












  • @Anakhand Before I had three times the same data, so points just got overwritten. I am sorry not to be able to provide you an elegant data visualization answer, but only a possible way to use pgfplots for that.
    – marmot
    yesterday
















I've added the filecontents above---I've extended with their tails to show what the complete graph looks like more or less. Thanks for your time. By the way, somehow one of the three graphs isn't even displaying now.
– Anakhand
yesterday






I've added the filecontents above---I've extended with their tails to show what the complete graph looks like more or less. Thanks for your time. By the way, somehow one of the three graphs isn't even displaying now.
– Anakhand
yesterday














@Anakhand Before I had three times the same data, so points just got overwritten. I am sorry not to be able to provide you an elegant data visualization answer, but only a possible way to use pgfplots for that.
– marmot
yesterday




@Anakhand Before I had three times the same data, so points just got overwritten. I am sorry not to be able to provide you an elegant data visualization answer, but only a possible way to use pgfplots for that.
– marmot
yesterday


















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