astype_operator¶
Cast a pandas object to a specified dtype dtype.
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class
tasrif.processing_pipeline.pandas.astype_operator.AsTypeOperator(dtype, **kwargs)¶ Cast a pandas object to a specified dtype dtype.
Examples
>>> import pandas as pd >>> from tasrif.processing_pipeline.pandas import AsTypeOperator >>> df = pd.DataFrame([ ... [1, "2020-05-01 00:00:00", "1", "3"], ... [1, "2020-05-01 01:00:00", "1", "5" ], ... [1, "2020-05-01 03:00:00", "2", "3"], ... [2, "2020-05-02 00:00:00", "1", "10"], ... [2, "2020-05-02 01:00:00", "1", "0"]], ... columns=['logId', 'timestamp', 'sleep_level', 'awake_count']) >>> df.dtypes logId int64 timestamp object sleep_level object awake_count object dtype: object
>>> op = AsTypeOperator({'sleep_level': 'int32', 'awake_count' : 'int32'}) >>> df1 = op.process(df) >>> df1[0].dtypes logId int64 timestamp object sleep_level int32 awake_count int32 dtype: object
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__init__(dtype, **kwargs)¶ Creates a new instance of AddDurationOperator
- Parameters
dtype – dtypedata type, or dict of column name -> data type Use a numpy.dtype or Python type to cast entire pandas object to the same type. Alternatively, use {col: dtype, …}, where col is a column label and dtype is a numpy.dtype or Python type to cast one or more of the DataFrame’s columns to column-specific types.
**kwargs – Arguments to pandas pd.astype function
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