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This article mainly introduces the use of the value counts command in python. It is very detailed and has a certain reference value. Friends who are interested must finish reading it!

Value counts

This is a command to check the distribution of values. For example, if you want to check the possible values and frequency of each value in the "c" column, you can do the following

Df ['c'] .value_counts ()

It has some useful techniques / parameters:

A. normalize = True: if you want to check the frequency instead of counting.

B. dropna = False: if you want to count the missing values contained in the data.

C. df ['c']. Value_counts (). Reset_index (): if you want to convert the stats table to pandas data frames and operate.

D. df ['c']. Value_counts (). Reset_index (). Sort_values (by='index'): displays statistics sorted by value rather than by count.

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