Access subplot axes returned by pandas.DataFrame.plot()

Question

Is there a way I can access the axes returned by pandas.DataFrame.plot(subplots=True)? I'd like to give each plot a title (and access other attributes), but my current attempts only affect the last subplot.

svv[['Flow2 L/s','GWT','DOC mg/L', 'Hgtot ng/L', 'MeHg ng/L']].dropna().plot(subplots=True, figsize=(20, 20)) 
plt.legend(loc='best')
ax[0].set_title('title1') # Doesn't alter any of the plots
ax[1].set_title('title2') # Doesn't alter any of the plots
plt.title('5 plots') # Title appears above the last plot

I have also tried using matplotlib.subplots() to create the subplots individually but this lead to the shared x-axis no longer only by at the intersection of all the Series being plotted.

BrenBarn · Accepted Answer · 2015-03-14 23:03:54Z

2

"Returned" means it is the result of the call to plot. You can just store it in a variable:

ax = svv[['Flow2 L/s','GWT','DOC mg/L', 'Hgtot ng/L', 'MeHg ng/L']].dropna().plot(subplots=True, figsize=(20, 20))

answered Mar 14, 2015 at 23:03

BrenBarn

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