mars.dataframe.Index#
- class mars.dataframe.Index(data, **_)[源代码]#
- __init__(data=None, dtype=None, copy=False, name=None, tupleize_cols=True, chunk_size=None, gpu=None, sparse=None, names=None, num_partitions=None, store_data=False)[源代码]#
Methods
__init__
([data, dtype, copy, name, ...])agg
([func, axis])aggregate
([func, axis])all
()any
()astype
(dtype[, copy])Create an Index with values cast to dtypes.
check_monotonic
([decreasing, strict])Check if values in the object are monotonic increasing or decreasing.
copy
()copy_from
(obj)copy_to
(target)drop
(labels[, errors])Make new Index with passed list of labels deleted.
drop_duplicates
([keep, method])Return Index with duplicate values removed.
dropna
([how])Return Index without NA/NaN values.
duplicated
([keep])Indicate duplicate index values.
execute
([session])fillna
([value, downcast])Fill NA/NaN values with the specified value.
isna
()Detect missing values.
map
(mapper[, na_action, dtype, memory_scale])Map values using input correspondence (a dict, Series, or function).
max
([axis, skipna])memory_usage
([deep])Memory usage of the values.
min
([axis, skipna])notna
()Detect existing (non-missing) values.
rebalance
([factor, axis, num_partitions, ...])Make Data more balanced across entire cluster.
rechunk
(chunk_size[, threshold, ...])rename
(name[, inplace])Alter Index or MultiIndex name.
set_names
(names[, level, inplace])Set Index or MultiIndex name.
tiles
()to_frame
([index, name])Create a DataFrame with a column containing the Index.
to_pandas
([session])to_series
([index, name])Create a Series with both index and values equal to the index keys.
value_counts
([normalize, sort, ascending, ...])Return a Series containing counts of unique values.
Attributes
Return the transpose, which is by definition self.
data
Return boolean scalar if values in the object are monotonic_increasing.
Return boolean scalar if values in the object are monotonic_decreasing.
Return boolean scalar if values in the object are monotonic_increasing.
shape
type_name
values