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I am using the anaconda distribution of ipython/Qt console. I want to plot things inline so I type the following from the ipython console:
%pylab inline Next I type the tutorial at (http://pandas.pydata.org/pandas-docs/dev/visualization.html) into ipython...
import matplotlib.pyplot as plt import pandas as pd ts = pd.Series(randn(1000), index = pd.date_range('1/1/2000', periods=1000)) ts = ts.cumsum() ts.plot() ... and this is all that i get back:
<matplotlib.axes.AxesSubplot at 0x109253410> But there is no plot. What could be wrong? Is there another command that I need to supply? The tutorial suggests that that is all that I need to type.
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Why matplotlib inline is used. You can use the magic function %matplotlib inline to enable the inline plotting, where the plots/graphs will be displayed just below the cell where your plotting commands are written. It provides interactivity with the backend in the frontends like the jupyter notebook.
Usually, displaying plots involves using the show() function from PyPlot. With Jupyter notebooks, this isn't necessary as the plots are displayed after running the cells containing the code that generates them. These plots are by default, displayed inline, which means, they're displayed in the notebook itself.
Plots are not displayed until you run
plt.show()
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