`pd.Index` supported APIs¶

The following table is structured as follows: The first column contains the method name. The second column is a flag for whether or not there is an implementation in Snowpark for the method in the left column.

Note

Y stands for yes, i.e., supports distributed implementation, N stands for no and API simply errors out, P stands for partial (meaning some parameters may not be supported yet), and D stands for defaults to single node pandas execution via UDF/Sproc.

Attributes

Index attribute	Snowpark implemented? (Y/N/P/D)	Notes for current implementation
`values`	Y
`is_monotonic_increasing`	N
`is_monotonic_decreasing`	N
`is_unique`	N
`has_duplicates`	N
`hasnans`	N
`dtype`	Y
`inferred_type`	N
`shape`	Y
`name`	Y
`names`	P
`nbytes`	N
`ndim`	Y
`size`	Y
`empty`	Y
`T`	Y
`memory_usage`	N
`nlevels`	P	Only single Index supported.
`array`	N
`str`	D

Methods

DataFrame method	Snowpark implemented? (Y/N/P/D)	Missing parameters	Notes for current implementation
`all`	N
`any`	N
`argmin`	N
`argmax`	N
`copy`	Y
`delete`	N
`drop`	N
`drop_duplicates`	N
`duplicated`	N
`equals`	D		Currently converts the Snowpark pandas Index to a native pandas Index and then compares the objects.
`factorize`	N
`identical`	N
`insert`	N
`is_`	N
`is_boolean`	N
`is_categorical`	N
`is_floating`	N
`is_integer`	N
`is_interval`	N
`is_numeric`	N
`is_object`	N
`min`	N
`max`	N
`reindex`	N
`rename`	N
`repeat`	N
`where`	N
`take`	N
`putmask`	N
`unique`	Y
`nunique`	Y
`value_counts`	N
`set_names`	N
`droplevel`	N
`fillna`	N
`dropna`	N
`isna`	N
`notna`	N
`astype`	Y
`item`	Y
`map`	N
`ravel`	N
`to_list`	Y
`to_series`	Y
`to_frame`	Y
`view`	N
`argsort`	N
`searchsorted`	N
`sort_values`	P	`key`	Snowpark pandas currently uses stable sort when sorting the index values. Pandas uses quicksort.
`shift`	N
`append`	N
`join`	N
`intersection`	N
`union`	N
`difference`	N
`symmetric_difference`	N
`asof`	N
`asof_locs`	N
`get_indexer`	N
`get_indexer_for`	N
`get_indexer_non_unique`	N
`get_level_values`	N
`get_loc`	N
`get_slice_bound`	N
`isin`	N
`slice_indexer`	N
`slice_locs`	N
`to_pandas`	Y

pd.Index supported APIs¶

`pd.Index` supported APIs¶