pandas dataframe replace inf
df.replace([np.inf, -np.inf], np.nan)pandas dataframe replace inf
df.replace([np.inf, -np.inf], np.nan)pandas conditional replace values in a series
# np.where function works as follows:
import numpy as np
# E.g. 1 - Set column values based on if another column is greater than or equal to 50
df['X'] = np.where(df['Y'] >= 50, 'yes', 'no')
# E.g. 2 - Replace values over 20000 with 0, otherwise keep original value
df['my_value'] = np.where(df.my_value > 20000, 0, df.my_value)Copyright © 2021 Codeinu
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