omfpandas.utils.pandas_utils.create_test_blockmodel

omfpandas.utils.pandas_utils.create_test_blockmodel(shape, block_size, corner, is_tensor=False)[source]

Create a test blockmodel DataFrame.

Parameters:

  • shape (tuple[int, int, int]) – Shape of the block model (x, y, z).

  • block_size (tuple[float, float, float]) – Size of each block (x, y, z).

  • corner (tuple[float, float, float]) – The lower left (minimum) corner of the block model.

  • is_tensor – If True, create a tensor block model. Default is False, which creates a regular block model. The MultiIndex levels for a regular model are x, y, z. For a tensor model they are x, y, z, dx, dy, dz. The tensor model created is a special case where dx, dy, dz are the same for all blocks.

Return type:

DataFrame

Returns: pd.DataFrame: DataFrame containing the block model data.