pandas.DataFrame.describe — pandas 0.16.2 documentation (original) (raw)

percentile_width : float, deprecated

The percentile_width argument will be removed in a future version. Use percentiles instead. width of the desired uncertainty interval, default is 50, which corresponds to lower=25, upper=75

percentiles : array-like, optional

The percentiles to include in the output. Should all be in the interval [0, 1]. By default percentiles is [.25, .5, .75], returning the 25th, 50th, and 75th percentiles.

include, exclude : list-like, ‘all’, or None (default)

Specify the form of the returned result. Either:

• None to both (default). The result will include only numeric-typed columns or, if none are, only categorical columns.
• A list of dtypes or strings to be included/excluded. To select all numeric types use numpy numpy.number. To select categorical objects use type object. See also the select_dtypes documentation. eg. df.describe(include=[‘O’])
• If include is the string ‘all’, the output column-set will match the input one.