Answers for "nan in pandas validate"

count nan pandas

#Python, pandas
#Count missing values for each column of the dataframe df

df.isnull().sum()

check if a value in dataframe is nan

#return a subset of the dataframe where the column name value == NaN 
df.loc[df['column name'].isnull() == True]

check if a value is nan pandas

import numpy as np
import pandas as pd

val = np.nan

print(pd.isnull(val))
# True