python - Read a csv with numpy array using pandas -


i have csv file 3 columns emotion, pixels, usage consisting of 35000 rows e.g. 0,70 23 45 178 455,training.

i used pandas.read_csv read csv file pd.read_csv(filename, dtype={'emotion':np.int32, 'pixels':np.int32, 'usage':str}).

when try above, says valueerror: invalid literal long() base 10: '70 23 45 178 455'? how read pixels columns numpy array?

please try below code instead -

df = pd.read_csv(filename, dtype={'emotion':np.int32, 'pixels':str, 'usage':str})  def makearray(text):     return np.fromstring(text,sep=' ')  df['pixels'] = df['pixels'].apply(makearray)

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