Elegant way to create empty pandas DataFrame with NaN of type float

Question

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=[         


        

Answer 1

You could specify the dtype directly when constructing the DataFrame:

>>> df = pd.DataFrame(index=range(0,4),columns=['A'], dtype='float')
>>> df.dtypes
A    float64
dtype: object

Specifying the dtype forces Pandas to try creating the DataFrame with that type, rather than trying to infer it.