Answers for "how to find the nan values in pandas"

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']