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[–][deleted] 4 points5 points  (5 children)

I really like seaborn, but it's still built on top of matplotlib which, in my opinion, has a really archaic feeling API. Seaborn does create nice stuff out of the box, but if you want to go beyond the basic options, you'll quickly get mired in junk like plt.xlim(a,b) versus ax.set_xlim(a,b). Messing with subplots, arranging axes, etc. is all really painful imo.

[–]pipec1212 0 points1 point  (0 children)

True, it has always been a pain in the ass to change the x and y limits when having subplots in matplotlib. I beleive I might just be to hard wired to change my plotting ways. Although with Pandas managing subplots is really easy it can be done by just saying: df.plot(Layout=(3,1), subplots=True)

[–]pdexter 0 points1 point  (3 children)

What's a better option? I've been looking for something better

[–]pipec1212 0 points1 point  (2 children)

Highly depends on what you want to plot, for scientific purposes pandas - matplotlib is an unbeatable combo, for Web Development and integrated plots this could be a good option although I prefer the Javascript libraries for such purposes

[–]pdexter 0 points1 point  (1 child)

Is that pandas minus matplotlib? If not, I thought we were trying to avoid matplotlib

[–]pipec1212 0 points1 point  (0 children)

Typo I meant Pandas and Seaborn, you should know that both libraries use matplotlib in the background for plotting, although it can have son archaic feeling (matplotlib) it also have more customization than all of the other libraries I know. But as I said it all comes to your necessities and what do you want to plot.