Setting Yaxis in Matplotlib using Pandas -

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using pandas plot in i-python notebook, have several plots , because matplotlib decides y axis setting them differently , need compare data using same range. have tried several variants on: (i assume i'll need apply limits each plot.. since can't 1 working... matplotlib doc seems need set ylim, can't figure syntax so.

df2250.plot(); plt.ylim((100000,500000)) <<<< if insert ; int not callable ,  if leave out invalid syntax. anyhow, neither right... df2260.plot() df5.plot()

pandas plot() returns axes, can use set 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 pass axes pandas plot, plotting in same axes can done like:

ax1 = df2250.plot() df2260.plot(ax=ax1) etc...

if want lot of different plots, defining axes on forehand , within 1 figure might solution gives 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...

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