Series.describe(percentiles=None, include=None, exclude=None)
[source]
Generate various summary statistics, excluding NaN values.
Parameters: |
percentiles : array-like, optional The percentiles to include in the output. Should all be in the interval [0, 1]. By default include, exclude : list-like, ‘all’, or None (default) Specify the form of the returned result. Either:
|
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Returns: |
summary: NDFrame of summary statistics |
See also
The output DataFrame index depends on the requested dtypes:
For numeric dtypes, it will include: count, mean, std, min, max, and lower, 50, and upper percentiles.
For object dtypes (e.g. timestamps or strings), the index will include the count, unique, most common, and frequency of the most common. Timestamps also include the first and last items.
For mixed dtypes, the index will be the union of the corresponding output types. Non-applicable entries will be filled with NaN. Note that mixed-dtype outputs can only be returned from mixed-dtype inputs and appropriate use of the include/exclude arguments.
If multiple values have the highest count, then the count
and most common
pair will be arbitrarily chosen from among those with the highest count.
The include, exclude arguments are ignored for Series.
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Licensed under the 3-clause BSD License.
http://pandas.pydata.org/pandas-docs/version/0.19.2/generated/pandas.Series.describe.html