How to convert Numpy array to Panda DataFrame

Question

I have a Numpy array that looks like this:

[400.31865662]
[401.18514808]
[404.84015554]
[405.14682194]
[405.67735105]
[273.90969447]
[274.0894528]

When I try to convert it to a Panda Dataframe with the following code

y = pd.DataFrame(data)
print(y)

I get the following output when printing it. Why do I get all those zéros?

            0
0  400.318657
            0
0  401.185148
            0
0  404.840156
            0
0  405.146822
            0
0  405.677351
            0
0  273.909694
            0
0  274.089453

I would like to get a single column dataframe which looks like that:

400.31865662
401.18514808
404.84015554
405.14682194
405.67735105
273.90969447
274.0894528

Answer 1

You could flatten the numpy array:

import numpy as np
import pandas as pd

data = [[400.31865662],
        [401.18514808],
        [404.84015554],
        [405.14682194],
        [405.67735105],
        [273.90969447],
        [274.0894528]]

arr = np.array(data)

df = pd.DataFrame(data=arr.flatten())

print(df)

Output

            0
0  400.318657
1  401.185148
2  404.840156
3  405.146822
4  405.677351
5  273.909694
6  274.089453