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I have a numpy array with the following shape:

numpy_x.shape
(9982, 26)

I want turn this numpy to dataframe:

x_new_df = pd.DataFrame(numpy_x)

And my new dataframe is:

x_new_df

enter image description here

How to can I generate the dataframe with index and columns names?

Improve this question
9
  • If need custom columns or index use x_new_df = pd.DataFrame(numpy_x, index=idx, columns=cols), idx and cols are lists or 1d numpy arrays with same size as numpy_x.shape Commented May 8, 2018 at 14:50
  • Hi @jezrael thanks for the edition and answer comment, but I get NameError: name 'idx' is not defined, Should I define some equvalence to idx and cols or their values are accesed by default? Commented May 8, 2018 at 15:04
  • OK, so what is problem? Need some another columns names and index like default? Commented May 8, 2018 at 15:06
  • 1
    Super, the use x_new_df = pd.DataFrame(numpy_x, columns=cols) where cols are list or numpy 1d array Commented May 8, 2018 at 16:17
  • 1
    it is plain list, L= ['a','b','c'] Commented May 23, 2018 at 6:49
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