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  * [ Input/output ](../io.html)
  * [ General functions ](../general_functions.html) __
    * [ pandas.melt ](pandas.melt.html)
    * [ pandas.pivot ](pandas.pivot.html)
    * [ pandas.pivot_table ](pandas.pivot_table.html)
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    * [ pandas.lreshape ](pandas.lreshape.html)
    * [ pandas.wide_to_long ](pandas.wide_to_long.html)
    * pandas.isna 
    * [ pandas.isnull ](pandas.isnull.html)
    * [ pandas.notna ](pandas.notna.html)
    * [ pandas.notnull ](pandas.notnull.html)
    * [ pandas.to_numeric ](pandas.to_numeric.html)
    * [ pandas.to_datetime ](pandas.to_datetime.html)
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  * pandas.isna 

#  pandas.isna  #

pandas.  isna  (  _ obj  _ )  [ [source]  ](https://github.com/pandas-
dev/pandas/blob/v2.2.2/pandas/core/dtypes/missing.py#L101-L178) #

    

Detect missing values for an array-like object.

This function takes a scalar or array-like object and indicates whether values
are missing ( ` NaN  ` in numeric arrays, ` None  ` or ` NaN  ` in object
arrays, ` NaT  ` in