Login Register

GroupBy.var()

GroupBy.var(ddof=1, *args, **kwargs) [source]

Compute variance of groups, excluding missing values

For multiple groupings, the result index will be a MultiIndex

Parameters:

ddof : integer, default 1

degrees of freedom

See also

pandas.Series.groupby, pandas.DataFrame.groupby, pandas.Panel.groupby

Links:

http://pandas.pydata.org/pandas-docs/version/0.19.2/generated/pandas.core.groupby.GroupBy.var.html

doc_Pandas

2017-01-12 04:48:32

Comments

Leave a Comment

Please login to continue.

Popular Articles

_.groupBy groupBy_.groupBy(list, iteratee, [context]) Splits a collection into sets, grouped by the result of running each value through iteratee. If iterate

_.groupBy _.groupBy(collection, [iteratee=_.identity]) source npm package Creates an object composed of keys generated from the results of running each eleme

CategoricalIndex.groupby() CategoricalIndex.groupby(values) [source] Group the index labels by a given array of values. Parameters: values : array Values used to determin

GroupBy.sum() GroupBy.sum() [source] Compute sum of group values See also pandas.Series.groupby, pandas.DataFrame.groupby, pandas.Panel.groupby

QueryAggregateInterface::groupBy public QueryAggregateInterface::groupBy($field) Specifies the field to group on. Parameters string $field: The name of the field to group by. Return