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Was playing around with the new string functions and noticed this. Don't really know if it's a bug or expected
np.version.full_version #'1.6.1' df = pandas.DataFrame(['jack and jill','jesse and frank']) split_df = df[0].str.split(r'\s+and\s+') split_df.to_csv('test') #<snip> # 75 shape = values.shape # 76 result = np.empty(shape, dtype=bool) #---> 77 vec = lib.isnullobj(values.ravel()) # 78 result[:] = vec.reshape(shape) # 79 # #/usr/local/lib/python2.7/dist-packages/pandas-0.8.2.dev_3942eb0-py2.7-linux-x86_64.egg/pandas/lib.so in pandas.lib.isnullobj (pandas/src/tseries.c:5355)() # #ValueError: Does not understand character buffer dtype format string ('s') from pandas import lib lib.isnullobj(np.array(split_df.ix[0])) #<snip> # #ValueError: Does not understand character buffer dtype format string ('s')
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Was playing around with the new string functions and noticed this. Don't really know if it's a bug or expected
The text was updated successfully, but these errors were encountered: