riptable.Utils.pandas_utils
Utility function for rt. These functions (may) have dependence on additional libraries and therefore should _NOT_ be imported in __init__.py or any other such core (like rt_appconfig.py).
Functions
This function is deprecated, please use riptable.Dataset.as_pandas_df method. |
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This function is deprecated, please use riptable.Dataset.from_pandas. |
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- riptable.Utils.pandas_utils.dataset_as_pandas_df(ds)
This function is deprecated, please use riptable.Dataset.as_pandas_df method.
Create a pandas DataFrame from a riptable Dataset. Will attempt to preserve single-key categoricals, otherwise will appear as an index array. Any bytestrings will be converted to unicode.
- Parameters:
ds (Dataset) – The riptable Dataset to be converted.
- Return type:
DataFrame
See also
riptable.Dataset.to_pandas
- riptable.Utils.pandas_utils.dataset_from_pandas_df(df, tz='UTC')
This function is deprecated, please use riptable.Dataset.from_pandas.
Creates a riptable Dataset from a pandas DataFrame. Pandas categoricals and datetime arrays are converted to their riptable counterparts. Any timezone-unaware datetime arrays (or those using a timezone not recognized by riptable) are localized to the timezone specified by the tz parameter.
- Recognized pandas timezones:
UTC, GMT, US/Eastern, and Europe/Dublin
- Parameters:
df (DataFrame) – The pandas DataFrame to be converted
tz (string) – A riptable-supported timezone (‘UTC’, ‘NYC’, ‘DUBLIN’, ‘GMT’)
- Return type:
See also
riptable.Dataset.from_pandas,riptable.Dataset.to_pandas
- riptable.Utils.pandas_utils.fastarray_to_pandas_series(arr, unicode=True, use_nullable=True)
- riptable.Utils.pandas_utils.pandas_series_to_riptable(series, tz='UTC')