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I have a panda dataframe that has NaN values in it. Is there an easy to way to change all the NaNs to 0s? I don't want any other values to change.

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Try the fillna function within pandas:

http://pandas.pydata.org/pandas-docs/dev/missing_data.html#filling-missing-values-fillna

 In [10]: df Out [10]: one two a 2.472772 1.135219 b NaN NaN c 0.863937 1.224622 d NaN 0.012517 In [11]: df2 = df.fillna(0) In [12]: df2 Out [12]: one two a 2.472772 1.135219 b 0.000000 0.000000 c 0.863937 1.224622 d 0.000000 0.012517
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