maxframe.dataframe.Index

class maxframe.dataframe.Index(data, **_)

__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)

Methods

__init__([data, dtype, copy, name, ...])
agg([func, axis])	Aggregate using one or more operations over the specified axis.
aggregate([func, axis])	Aggregate using one or more operations over the specified axis.
all()
any()
argmax([axis, skipna])	Return int position of the smallest value in the Series.
argmin([axis, skipna])	Return int position of the smallest value in the Series.
argsort(*args, **kwargs)
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.
clip([lower, upper, axis, inplace])	Trim values at input threshold(s).
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.
droplevel(level)	Return index with requested level(s) removed.
dropna([how])	Return Index without NA/NaN values.
duplicated([keep])	Indicate duplicate index values.
execute([session])
factorize([sort, use_na_sentinel])	Encode the object as an enumerated type or categorical variable.
fillna([value, downcast])	Fill NA/NaN values with the specified value.
get_level_values(level)	Return vector of label values for requested level.
insert(loc, value)	Make new Index inserting new item at location.
isna()	Detect missing values.
isnull()	Detect missing values.
map(mapper[, na_action, dtype, ...])	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.
notnull()	Detect existing (non-missing) values.
rechunk(chunk_size[, reassign_worker])
rename(name[, inplace])	Alter Index or MultiIndex name.
repeat(repeats[, axis])	Repeat elements of an Index.
set_names(names[, level, inplace])	Set Index or MultiIndex name.
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

T	Return the transpose, which is by definition self.
data
has_duplicates
hasnans	Return True if there are any NaNs.
is_monotonic	Return boolean scalar if values in the object are monotonic_increasing.
is_monotonic_decreasing	Return boolean scalar if values in the object are monotonic_decreasing.
is_monotonic_increasing	Return boolean scalar if values in the object are monotonic_increasing.
is_unique	Return boolean if values in the index are unique.
name
names
ndim
shape
size
type_name
values