generate_multiple_tsdata¶
- hcrystalball.utils.generate_multiple_tsdata(n_dates=10, n_regions=2, n_plants=3, n_products=4, country='DE', random_state=None)[source]¶
Provide easy way how to generate dummy data for tests or tutorial purposes
- Parameters
n_dates (int) – lenght of one time-series
n_regions (int) – number of regions within column ‘Region’
n_plants (int) – number of plants within colum ‘Plant’
n_products (int) – number of products within colum ‘Product’
country (str) – ISO code of country or country-region
random_state (int or RandomState instance,) – Control random number generation following the scikit-learn pattern. Default is to use the global Numpy RNG. For reproducible results pass an int. To draw from a given RNG pass a RandomState.
- Returns
Data with datetime index and following columns - “Region”, “Plant”, “Product” - for partitioning the data - “Country” - for holidays code - “Raining” - as bool exogenous variable - “Quantity” - as target variable
- Return type