11–19 of 19 posts
One of my biggest frustrations with python for data science is how bad the documentation for matplotlib is. Also the default settings leave a lot to be desired - look at the color map scatter plots to see what I mean. What is with all that white-space around the graph?
I needed pixel perfect plots for visualising raster data and did not manage to make it render that. Felt similar to LaTeX: Great if you like what it does by default but don't you dare want something reasonably different. :\
Similar sentiments here. I get slightly further with ggplot2 but still end up fixing stuff manually in Illustrator which adds significant time. Anyone know 1) a more customizable plotting library or 2) a way to apply manual changes to new input pdfs? Biggest sticking points for me are overlapping labels and compositing multiple figures
One of my biggest frustrations with python for data science is how bad the documentation for matplotlib is. Also the default settings leave a lot to be desired - look at the color map scatter plots to see what I mean. What is with all that white-space around the graph?
I find pandas documentation verbose but ultimately not real world. Every one of them generates random values which aren't visually distinct. Makes it hard to follow operations.
(Admittedly, this is a bit of a nitpick for free software. Overall, I'm very happy with the package.)
One of my biggest frustrations with python for data science is how bad the documentation for matplotlib is. Also the default settings leave a lot to be desired - look at the color map scatter plots to see what I mean. What is with all that white-space around the graph?
I needed pixel perfect plots for visualising raster data and did not manage to make it render that. Felt similar to LaTeX: Great if you like what it does by default but don't you dare want something reasonably different. :\
Similar sentiments here. I get slightly further with ggplot2 but still end up fixing stuff manually in Illustrator which adds significant time. Anyone know 1) a more customizable plotting library or 2) a way to apply manual changes to new input pdfs? Biggest sticking points for me are overlapping labels and compositing multiple figures
One of my biggest frustrations with python for data science is how bad the documentation for matplotlib is. Also the default settings leave a lot to be desired - look at the color map scatter plots to see what I mean. What is with all that white-space around the graph?
There are some alternatives with pretty defaults - I personally love seaborn [1] which builds on top of matplotlib, but seaborn is even more "do it the way I like it or suffer the consequences" - however, the coming v2.0 of Matplotlib comes with a few API changes and a different default color scheme: http://matplotlib.org/style_changes.html or http://matplotlib.1069221.n5.nabble.com/matplotlib-v2-0-0b1-...
[1] http://stanford.edu/~mwaskom/software/seaborn/examples/index...
Earlier quoted context omitted.
Similar sentiments here. I get slightly further with ggplot2 but still end up fixing stuff manually in Illustrator which adds significant time. Anyone know 1) a more customizable plotting library or 2) a way to apply manual changes to new input pdfs? Biggest sticking points for me are overlapping labels and compositing multiple figures
Buying a copy of Illustrator was pretty much the best thing that ever happened to my plotting.
I needed pixel perfect plots for visualising raster data and did not manage to make it render that. Felt similar to LaTeX: Great if you like what it does by default but don't you dare want something reasonably different. :\
Similar sentiments here. I get slightly further with ggplot2 but still end up fixing stuff manually in Illustrator which adds significant time. Anyone know 1) a more customizable plotting library or 2) a way to apply manual changes to new input pdfs? Biggest sticking points for me are overlapping labels and compositing multiple figures
Have you tried D3 for static plots? It looks very verbose, but offers a lot of fine control.
Earlier quoted context omitted.
Buying a copy of Illustrator was pretty much the best thing that ever happened to my plotting.
How did illustrator help you?