["python","pandas","matplotlib"]
Pandas plot doesn't show

When using this in a script (not IPython), nothing happens, i.e. the plot window doesn't appear : import numpy as np import pandas as pd ts = pd.Series(np.random.randn(1000), index=pd.date_range('1/1/2000', periods=1000)) ts.plot() Even when adding time.sleep(5), there is still nothing. Why? Is there a way to do it, without having to manually call matplotlib ?
Once you have made your plot, you need to tell matplotlib to show it. The usual way to do things is to import matplotlib.pyplot and call show from there: import numpy as np import pandas as pd import matplotlib.pyplot as plt ts = pd.Series(np.random.randn(1000), index=pd.date_range('1/1/2000', periods=1000)) ts.plot() plt.show() In older versions of pandas, you were able to find a backdoor to matplotlib, as in the example below. NOTE: This no longer works in modern versions of pandas, and I still recommend importing matplotlib separately, as in the example above. import numpy as np import pandas as pd ts = pd.Series(np.random.randn(1000), index=pd.date_range('1/1/2000', periods=1000)) ts.plot() pd.tseries.plotting.pylab.show() But all you are doing there is finding somewhere that matplotlib has been imported in pandas, and calling the same show function from there. Are you trying to avoid calling matplotlib in an effort to speed things up? If so then you are really not speeding anything up, since pandas already imports pyplot: python -mtimeit -s 'import pandas as pd' 100000000 loops, best of 3: 0.0122 usec per loop python -mtimeit -s 'import pandas as pd; import matplotlib.pyplot as plt' 100000000 loops, best of 3: 0.0125 usec per loop Finally, the reason the example you linked in comments doesn't need the call to matplotlib is because it is being run interactively in an iPython notebook, not in a script.