I want to create a Pandas DataFrame filled with NaNs. During my research I found an answer:
import pandas as pd
df = pd.DataFrame(index=range(0,4),columns=['A'])
This code results in a DataFrame filled with NaNs of type "object". So they cannot be used later on for example with the interpolate()
method. Therefore, I created the DataFrame with this complicated code (inspired by this answer):
import pandas as pd
import numpy as np
dummyarray = np.empty((4,1))
dummyarray[:] = np.nan
df = pd.DataFrame(dummyarray)
This results in a DataFrame filled with NaN of type "float", so it can be used later on with interpolate()
. Is there a more elegant way to create the same result?