Resampler 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. engine and engine_kwargs are always ignored in Snowpark pandas. The execution engine will always be Snowflake.

Indexing, iteration

Resampler method	Snowpark implemented? (Y/N/P/D)	Notes for current implementation
`get_group`	N
`groups`	N
`indices`	N
`__iter__`	N

Function application

Resampler method	Snowpark implemented? (Y/N/P/D)	Notes for current implementation
`aggregate`	N
`apply`	N
`pipe`	N
`transform`	N

Upsampling

Resampler method	Snowpark implemented? (Y/N/P/D)	Missing parameters	Notes for current implementation
`asfreq`	N
`backfill`	N
`bfill`	N
`ffill`	P	`limit`
`fillna`	N
`interpolate`	N
`nearest`	N

Computations / descriptive stats

Resampler method	Snowpark implemented? (Y/N/P/D)	Notes for current implementation
`count`	P	Supports frequencies ‘s’, ‘min’, ‘h’, ‘D’.
`first`	N
`last`	N
`max`	P	Supports frequencies ‘s’, ‘min’, ‘h’, ‘D’.
`mean`	P	Supports frequencies ‘s’, ‘min’, ‘h’, ‘D’.
`median`	P	Supports frequencies ‘s’, ‘min’, ‘h’, ‘D’.
`min`	P	Supports frequencies ‘s’, ‘min’, ‘h’, ‘D’.
`nunique`	N
`ohlc`	N
`pad`	N
`prod`	N
`quantile`	N
`sem`	N
`std`	P	Supports frequencies ‘s’, ‘min’, ‘h’, ‘D’.
`size`	N
`sum`	P	Supports frequencies ‘s’, ‘min’, ‘h’, ‘D’.
`var`	P	Supports frequencies ‘s’, ‘min’, ‘h’, ‘D’.