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 in dataframe is nan
#return a subset of the dataframe where the column name value == NaN
df.loc[df['column name'].isnull() == True]
to detect if a data frame has nan values
> df.isnull().any().any()
True
python checking if something is equal to NaN
# Test to see if it is equal to itself
def isNaN(num):
return num != num
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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