Setting Yaxis in Matplotlib using Pandas
matplotlib, pandas, python
Solution
Pandas plot() returns the axes, you can use it to set the ylim on it.
ax1 = df2250.plot()
ax2 = df2260.plot()
ax3 = df5.plot()
ax1.set_ylim(100000,500000)
ax2.set_ylim(100000,500000)
etc...
You can also pass an axes to Pandas plot, so plotting it in the same axes can be done like:
ax1 = df2250.plot()
df2260.plot(ax=ax1)
etc...
If you want a lot of different plots, defining the axes beforehand and within one figure might be the solution that gives you the most control:
fig, axs = plt.subplots(1,3,figsize=(10,4), subplot_kw={'ylim': (100000,500000)})
df2260.plot(ax=axs[0])
df2260.plot(ax=axs[1])
etc...
Problem
Using Pandas to plot in IPython Notebook, I have several plots and because Matplotlib decides the Y axis it is setting them differently and we need to compare that data using the same range. From the Matplotlib doc it seems that I need to set `ylim`, but can't figure the syntax to do so. I have tried several variants on: ``` df2250.plot(); plt.ylim((100000,500000)) df2260.plot() df5.plot() ``` I assume I'll need to apply the limits to each plot, but since I can't get one working...