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()
python count null values in dataframe
# Count total missing values in a dataframe
df.isnull().sum().sum()
# Gives a integer value
check if a value is nan pandas
import numpy as np
import pandas as pd
val = np.nan
print(pd.isnull(val))
# True
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