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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 22:01] – [Task] rajuget_the_first_non_null_value_in_each_column [2021/09/15 22:02] – [Use case] raju
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 ===== Get the first value not equal to a number ===== ===== Get the first value not equal to a number =====
 ==== Use case ==== ==== Use case ====
-One downside of using np.nan to denote missing values is that an integer column of a+One downside of using np.nan to denote a missing value is that an integer column of a
 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.
  
get_the_first_non_null_value_in_each_column.txt · Last modified: 2021/09/15 22:03 by raju