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]
         


        

Answer 1

There is another way, which isn't mentioned in the other answers. If you have a NumPy array which is essentially a row vector (or column vector) i.e. shape like (n, ) , then you could do the following :

# sample array
x = np.zeros((20))
# empty dataframe
df = pd.DataFrame()
# add the array to df as a column
df['column_name'] = x

This way you can add multiple arrays as separate columns.