How can I construct a Pandas DataFrame from individual 1D Numpy arrays without copying

Question

Unlike every other question I can find, I do not want to create a DataFrame from a homogeneous Numpy array, nor do I want to convert a structured array into a DataFrame.

Answer 1

May I suggest adding the columns one by one. It might help with efficiency. Like this for example,

import numpy as np
import pandas as pd

df = pd.DataFrame()

col1 = np.array([1, 2, 3])
col2 = np.array([4, 5, 6])

df['col1'] = col1
df['col2'] = col2

>>> df
   col1  col2
0     1     4
1     2     5
2     3     6