3

I'm plotting some data based on pandas dataframes and series. Following is a part of my code. This code gives an error.

RuntimeError: underlying C/C++ object has been deleted


from matplotlib import pyplot as plt
from matplotlib.backends.backend_pdf import PdfPages
fig = plt.figure()

dfs = df['col2'].resample('10t', how='count')
dfs.plot()
plt.show()

reg = df.groupby('col1').size()
reg.sort()
reg[-10:].plot(kind='barh')
plt.show()

pp = PdfPages('foo.pdf')
fig.savefig(pp, format='pdf') 
pp.close()

I have two questions.

  1. How to plot multiple plots in one output?(Here I get multiple outputs for each and every plot)
  2. How to write all these plots in to one pdf?

I found this as a related question.

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7
  • As i know subplot is the answer to my first question? How to use it? Commented Jul 8, 2013 at 9:27
  • Are you looking for a generic answer? Because we have no idea what your dataset looks like! Commented Jul 8, 2013 at 9:30
  • @Sukrit Kalra : Yes, a generic answer? Explanation is enough? Commented Jul 8, 2013 at 9:33
  • Hi! Were you looking for this kind of a plot? See my answer. Commented Jul 8, 2013 at 10:01
  • Remember to accept your own answer when it will let you, and can you make it clear what error you were getting? Commented Jul 8, 2013 at 12:46

3 Answers 3

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4

Following is the part of code which gave me the expected result, there may be more elegant ways to do this;

def plotGraph(X):
    fig = plt.figure()
    X.plot()
    return fig


plot1 = plotGraph(dfs)
plot2 = plotGraph2(reg[:-10])
pp = PdfPages('foo.pdf')
pp.savefig(plot1)
pp.savefig(plot2)
pp.close()
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Comments

2

Please see the following for targeting different subplots with Pandas.

I am assuming you need 2 subplots (in row fashion). Thus, your code may be modified as follows:

from matplotlib import pyplot as plt

fig, axes = plt.subplots(nrows=2)

dfs = df['col2'].resample('10t', how='count')
dfs.plot(ax=axes[0])

reg = df.groupby('col1').size()
reg.sort()
reg[-10:].plot(kind='barh',ax=axes[0])

plt.savefig('foo.pdf')
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3 Comments

Thanks Batra! Any way I found a different approach to do this
You may wish to then add your own answer for the same, so that others might benefit by the same.
Ok, sure :) I'll provide it!
1

matplotlib merges the plots to one figure by default. See the following snippet - 

>>> import pylab as plt
>>> randomList = [randint(0, 40) for _ in range(10)]
>>> randomListTwo = [randint(0, 40) for _ in range(10)]
>>> testFigure = plt.figure(1)
>>> plt.plot(randomList)
[<matplotlib.lines.Line2D object at 0x03F24A90>]
>>> plt.plot(randomListTwo)
[<matplotlib.lines.Line2D object at 0x030B9FB0>]
>>> plt.show()

Gives you a figure like the following -

enter image description here

Also, the file can be easily saved in PDF through the commands you posted - 

>>> from matplotlib.backends.backend_pdf import PdfPages
>>> pp = PdfPages('foo.pdf')
>>> testFigure.savefig(pp, format='pdf')
>>> pp.close()

This gave me a PDF with a similar figure.

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1 Comment

Hey,Thanks very much! Anyway by the time I figured out how to do it :)!

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