Count nan panda
#Python, pandas
#Count missing values for each column of the dataframe df
df.isnull().sum()
Ahh the negotiatior
#Python, pandas
#Count missing values for each column of the dataframe df
df.isnull().sum()
df.fillna('', inplace=True)df['your column name'].isnull().values.any()
df.isnull().sum().sum()
# Try using a loc instead of a where:
df_sub = df.loc[df.yourcolumn == 'yourvalue']