Issue
Using Matplotlib in an IPython Notebook, I would like to create a figure with subplots which are returned from a function:
import matplotlib.pyplot as plt
%matplotlib inline
def create_subplot(data):
more_data = do_something_on_data()
bp = plt.boxplot(more_data)
# return boxplot?
return bp
# make figure with subplots
f, (ax1, ax2) = plt.subplots(1, 2, sharey=True, figsize=(10,5))
ax1 -> how can I get the plot from create_subplot() and put it on ax1?
ax1 -> how can I get the plot from create_subplot() and put it on ax2?
I know that I can directly add a plot to an axis:
ax1.boxplot(data)
But how can I return a plot from a function and use it as a subplot?
Solution
Typically, you’d do something like this:
def create_subplot(data, ax=None):
if ax is None:
ax = plt.gca()
more_data = do_something_on_data()
bp = ax.boxplot(more_data)
return bp
# make figure with subplots
f, (ax1, ax2) = plt.subplots(1, 2, sharey=True, figsize=(10,5))
create_subplot(data, ax1)
You don’t “return a plot from a function and use it as a subplot”. Instead you need to plot the boxplot on the axes in the subplot.
The if ax is None
portion is just there so that passing in an explicit axes is optional (if not, the current pyplot axes will be used, identical to calling plt.boxplot
.). If you’d prefer, you can leave it out and require that a specific axes be specified.
Answered By – Joe Kington
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