Pandas Replace Null Values
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Pandas Replace Null Values
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How To Use The Pandas Replace Technique Sharp Sight
Method to use for filling holes in reindexed Series ffill propagate last valid observation forward to next valid backfill bfill use next valid observation to fill gap Deprecated since version 2 1 0 Use ffill or bfill instead axis 0 or index for Series 0 or index 1 or columns for DataFrame Axis along which to fill missing values Because NaN is a float a column of integers with even one missing values is cast to floating point dtype see Support for integer NA for more pandas provides a nullable integer array which can be used by explicitly requesting the dtype In 14 pd Series 1 2 np nan 4 dtype pd Int64Dtype Out 14 0 1 1 2 2 NA 3 4 dtype Int64

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