Pandas DataFrame mean()
Pandas dataframe.mean() function returns the mean of the values for the requested axis. If the method is applied on a pandas series object, then the method returns a scalar value which is the mean value of all the observations in the Pandas Dataframe. If the method is applied on a Pandas Dataframe object, then the method returns a Pandas series object which contains the mean of the values over the specified axis.
Syntax: DataFrame.mean(axis=0, skipna=True, level=None, numeric_only=False, **kwargs)
Parameters :
- axis : {index (0), columns (1)}
- skipna : Exclude NA/null values when computing the result
- level : If the axis is a MultiIndex (hierarchical), count along a particular level, collapsing into a Series
- numeric_only : Include only float, int, boolean columns. If None, will attempt to use everything, then use only numeric data. Not implemented for Series.
Returns : mean : Series or DataFrame (if level specified)