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get_the_first_non_null_value_in_each_column

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get_the_first_non_null_value_in_each_column [2021/09/15 22:02] – [Use case] rajuget_the_first_non_null_value_in_each_column [2021/09/15 22:03] (current) – [Use case] raju
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 dataframe gets "promoted" to a floating point column even if there is a single np.nan in it. dataframe gets "promoted" to a floating point column even if there is a single np.nan in it.
  
-One work around is to use a specific integer to denote missing values. For example if we expect+One work around is to use a specific integer to denote missing value. For exampleif we expect
 all integers to be positive, we can use -9999 to denote a missing value. Let's call this all integers to be positive, we can use -9999 to denote a missing value. Let's call this
 special integer NAN_INT. special integer NAN_INT.
get_the_first_non_null_value_in_each_column.txt · Last modified: 2021/09/15 22:03 by raju