Common statistical methods for pandas

Statistical methods

Pandas objects have some statistical methods. Most of them are reduction and summary statistics that are used to extract a single value from a Series, or to extract a Series from a dataframe row or column.

For example, the Dataframe.mean (axis=0,skipna=true) method, when NA values are present in the dataset, are simply skipped, unless the entire slice (row or column) is all NA, and if you do not want to, you can disable this feature by Skipna=false:

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>>> DF One two a 1.40 nan b 7.10-4.5 c nan nan d 0.75-1.3 [4 rows x 2 columns] >>& Gt Df.mean () One 3.083333 two-2.900000 dtype:float64 >>> Df.mean (axis = 1) a 1.400