Login Register

CategoricalIndex.memory_usage()

CategoricalIndex.memory_usage(deep=False) [source]

Memory usage of my values

Parameters:

deep : bool

Introspect the data deeply, interrogate object dtypes for system-level memory consumption

Returns:

bytes used

See also

numpy.ndarray.nbytes

Notes

Memory usage does not include memory consumed by elements that are not components of the array if deep=False

Links:

http://pandas.pydata.org/pandas-docs/version/0.19.2/generated/pandas.CategoricalIndex.memory_usage.html

doc_Pandas

2017-01-12 04:44:54

Comments

Leave a Comment

Please login to continue.

Popular Articles

DataFrame.memory_usage() DataFrame.memory_usage(index=True, deep=False) [source] Memory usage of DataFrame columns. Parameters: index : bool Specifies whether to includ

Index.memory_usage() Index.memory_usage(deep=False) [source] Memory usage of my values Parameters: deep : bool Introspect the data deeply, interrogate object dtypes

TimedeltaIndex.memory_usage() TimedeltaIndex.memory_usage(deep=False) [source] Memory usage of my values Parameters: deep : bool Introspect the data deeply, interrogate obje

MultiIndex.memory_usage() MultiIndex.memory_usage(deep=False) [source] Memory usage of my values Parameters: deep : bool Introspect the data deeply, interrogate object d

DatetimeIndex.memory_usage() DatetimeIndex.memory_usage(deep=False) [source] Memory usage of my values Parameters: deep : bool Introspect the data deeply, interrogate objec