Datetime Column Profile¶
Contains class for profiling datetime column.
- class dataprofiler.profilers.datetime_column_profile.DateTimeColumn(name: Optional[str], options: Optional[dataprofiler.profilers.profiler_options.DateTimeOptions] = None)¶
Bases:
dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfilerDatetime column profile subclass of BaseColumnProfiler.
Represents a column int the dataset which is a datetime column.
Initialize it and the column base properties.
- Parameters
name (String) – Name of the data
options (DateTimeOptions) – Options for the datetime column
- type = 'datetime'¶
- report(remove_disabled_flag: bool = False) Dict¶
Return report.
Private abstract method.
- Parameters
remove_disabled_flag (boolean) – flag to determine if disabled options should be excluded in the report.
- property profile: Dict¶
Return the profile of the column.
- property data_type_ratio: Optional[float]¶
Calculate the ratio of samples which match this data type.
- Returns
ratio of data type
- Return type
float
- diff(other_profile: dataprofiler.profilers.datetime_column_profile.DateTimeColumn, options: Optional[Dict] = None) Dict¶
Generate differences between max, min, and formats of two DateTime cols.
- Returns
Dict containing the differences between max, min, and format in their
appropriate output formats :rtype: dict
- update(df_series: pandas.core.series.Series) dataprofiler.profilers.datetime_column_profile.DateTimeColumn¶
Update the column profile.
- Parameters
df_series (pandas.core.series.Series) – df series
- Returns
None
- col_type = None¶
- name: Optional[str]¶
- sample_size: int¶
- metadata: Dict¶
- times: Dict¶
- thread_safe: bool¶
- match_count: int¶