Python Pandas Dictionary With Numpy Arrays

I have a pandas df like the following: import pandas as pd import numpy as np data = np.random.rand(10,2) data array([[0.88095214, 0.62363749], [0.99251732, 0.97059244],

Solution 1:

If need lists:

You need transpose first and then use parameter orient='list':

d = df.T.to_dict('list')

Or use zip:

d = dict(zip(df.index, df.values.tolist()))

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If need numpy arrays:

d = dict(zip(df.index, df.values))