utils.validation.get_exog_dtypes

utils.validation.get_exog_dtypes(exog)

Extract and store the data types of exogenous variables.

This function returns a dictionary mapping column names to their data types. For Series, uses the series name as the key. For DataFrames, uses all column names.

Parameters

Name	Type	Description	Default
exog	Union[pd.Series, pd.DataFrame]	Exogenous variable/s (Series or DataFrame).	required

Returns

Name	Type	Description
	Dict[str, type]	Dictionary mapping variable names to their pandas dtypes.

Examples

>>> import pandas as pd
>>> import numpy as np
>>> from spotforecast2_safe.utils.validation import get_exog_dtypes
>>>
>>> # DataFrame with mixed types
>>> exog_df = pd.DataFrame({
...     "temp": pd.Series([20.5, 21.3, 22.1], dtype='float64'),
...     "day": pd.Series([1, 2, 3], dtype='int64'),
...     "is_weekend": pd.Series([False, False, True], dtype='bool')
... })
>>> dtypes = get_exog_dtypes(exog_df)
>>> dtypes['temp']
dtype('float64')
>>> dtypes['day']
dtype('int64')
>>>
>>> # Series
>>> exog_series = pd.Series([1.0, 2.0, 3.0], name="temperature", dtype='float64')
>>> dtypes = get_exog_dtypes(exog_series)
>>> dtypes
{'temperature': dtype('float64')}