dataframe find nan rows
df[df.isnull().any(axis=1)]dataframe find nan rows
df[df.isnull().any(axis=1)]count nan pandas
#Python, pandas
#Count missing values for each column of the dataframe df
df.isnull().sum()how to check if a value is nan in python
# If you are doing any conditional operation and you want to check a if
# a single value is Null or not then you can use numpy's isna method.
np.isna(df[col][0])Copyright © 2021 Codeinu
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