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dataframe find nan rows

df[df.isnull().any(axis=1)]
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show all rows with nan for a column value pandas

df[df['col'].isnull()]
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to detect if a data frame has nan values

df.isnull().sum().sum()
5
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to detect if a data frame has nan values

> df.isnull().any().any()
True
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dataframe check for nan in iterrows

for i, row in df.iterrows():
value = row["Name"]
if pd.isnull(value):
    dosomething()
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pandas if nan, then the row above

df.fillna(method='ffill')
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