Pandas Fillna Mode

Question

I have a data set in which there is a column known as Native Country which contain around 30000 records. Some are missing represented by NaN so I thoug

Answer 1

import numpy as np

import pandas as pd

print(pd.__version__)

1.2.0

df = pd.DataFrame({'Country': [np.nan, 'France', np.nan, 'Spain', 'France'], 'Purchased': [np.nan,'Yes', 'Yes', 'No', np.nan]})

	Country	Purchased
0	NaN	NaN
1	France	Yes
2	NaN	Yes
3	Spain	No
4	France	NaN

 df.fillna(df.mode())  ## only applied on first row because df.mode() returns a dataframe with one row

	Country	Purchased
0	France	Yes
1	France	Yes
2	NaN	Yes
3	Spain	No
4	France	NaN

df = pd.DataFrame({'Country': [np.nan, 'France', np.nan, 'Spain', 'France'], 'Purchased': [np.nan,'Yes', 'Yes', 'No', np.nan]})

df.fillna(df.mode().iloc[0]) ## convert df to a series

	Country	Purchased
0	France	Yes
1	France	Yes
2	France	Yes
3	Spain	No
4	France	Yes