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This article mainly introduces how to use Where in pandas, has a certain reference value, interested friends can refer to, I hope you can learn a lot after reading this article, the following let the editor take you to understand it.

Where

Where is used to replace values in rows or columns based on conditions. If the condition is met, the original value is maintained, and if the condition is not met, it is replaced with another value. Replace it with NaN by default, or you can specify a special value.

Usage:

DataFrame.where (cond, other=nan, inplace=False, axis=None, level=None, errors='raise', try_cast=False, raise_on_error=None)

Parameter function:

Cond: Boolean condition, if cond is true, keep the original value, otherwise replace it with other

Other: special value to replace

If inplace:inplace is true, it operates on the original data. If False, it operates on the copy of the original data.

Axis: rows or columns

Replace the value less than 5 in the column value_1 in df with 0:

Df ['value_1'] .where (df [' value_1'] > 5,0)

Where is a mask operation.

Mask (English: Mask) refers to a series of binary numbers in computer science and digital logic, which achieves the requirement of shielding finger positioning through bit-by-bit operation with the target number.

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