count nan pandas
#Python, pandas
#Count missing values for each column of the dataframe df
df.isnull().sum()count nan pandas
#Python, pandas
#Count missing values for each column of the dataframe df
df.isnull().sum()find nan value in dataframe python
# to mark NaN column as True
df['your column name'].isnull()to detect if a data frame has nan values
df.isnull().sum().sum()
5to detect if a data frame has nan values
> df.isnull().any().any()
Truepython data frame check if any nan value present
df['your column name'].isnull().values.any()python check if nan
import math
x = float('nan')
math.isnan(x)
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