channel_to_dataframe_decimated

nominal.thirdparty.pandas.channel_to_dataframe_decimated(channel: Channel, start: str | datetime | int, end: str | datetime | int, *, buckets: int | None = None, resolution: int | None = None, tags: Mapping[str, str] | None = None) → DataFrame

Retrieve the channel summary as a pandas.DataFrame, decimated to the given buckets or resolution.

Enter either the number of buckets or the resolution for the output. Resolution in picoseconds for picosecond-granularity dataset, nanoseconds otherwise.

Only DOUBLE and INT channels are supported. Any other data type raises, either because the type cannot back a compute series or because the decimated response is not numeric.

Raises:

ValueError – If both buckets and resolution are given, or if the channel’s data type is not DOUBLE or INT.