Answers for "pandas 0 if nan, 1 if filled"

1

check if a value in dataframe is nan

#return a subset of the dataframe where the column name value == NaN 
df.loc[df['column name'].isnull() == True]
Posted by: Guest on April-13-2021
1

python data frame check if any nan value present

df['your column name'].isnull().values.any()
Posted by: Guest on July-23-2020

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