With the autoscale_on=True option for each axis, I thought each plot should have its own y-axis limits, but it appears they all share the same value (even if they share different axes).

plt.show() Is there a way to show them separately, i.e. to show just f1? Or better: how can I manage the figures separately like in the following 'wishful' code (that doesn't work):

Since there are 3 different graphs on a single plot, perhaps it makes sense to insert a legend in to distinguish which is which. That can be done easily by passing the label.

Apr 7, 2021 · If you have different fact tables that all have a datetime column with the same name, then you may need to build a calendar table that has all the dates and create relationships …

Aug 9, 2009 · I would like to place two plots side by side using the ggplot2 package, i.e. do the equivalent of par (mfrow=c (1,2)). For example, I would like to have the following two plots …

Feb 3, 2021 · This is not what I want. My goal is to plot these 3 lines separately, in 3 different graphs. Those 3 graphs should not be crammed next to each other. They should be one …

Suppose I have a for loop and I want to plot points in different colors: for i in range(5): plt.plot(x,y,col=i) How do I automatically change colors in the for loop?

I would like superimpose two scatter plots in R so that each set of points has its own (different) y-axis (i.e., in positions 2 and 4 on the figure) but the points appear superimposed on the same f...

Feb 8, 2018 · I'm not sure how to word my question more clearly. Basically, is PyPlot limited to one instance/window? Any hack or workaround I try either causes my program to freeze or for …

Jul 20, 2022 · 242 I have a few Pandas DataFrames sharing the same value scale, but having different columns and indices. When invoking df.plot(), I get separate plot images. what I really …