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 get the amount of nan values in a data fram
#where A is the name of the column
#where df is the name of the dataframe
count = df["A"].isna().sum()
pandas where retuning NaN
# Try using a loc instead of a where:
df_sub = df.loc[df.yourcolumn == 'yourvalue']
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