momepy.Unique¶

class momepy.Unique(gdf, values, spatial_weights, unique_id, verbose=True)[source]¶

Calculates the number of unique values within neighbours defined in spatial_weights.

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Parameters

gdfGeoDataFrame: GeoDataFrame containing morphological tessellation
valuesstr, list, np.array, pd.Series: the name of the dataframe column, np.array, or pd.Series where is stored character value.
spatial_weightslibpysal.weights: spatial weights matrix
unique_idstr: name of the column with unique id used as spatial_weights index
verbosebool (default True): if True, shows progress bars in loops and indication of steps

Examples

>>> sw = momepy.sw_high(k=3, gdf=tessellation_df, ids='uID')
>>> tessellation_df['cluster_unique'] = mm.Unique(tessellation_df,
...                                              'cluster',
...                                              sw,
...                                              'uID').series
100%|██████████| 144/144 [00:00<00:00, 722.50it/s]

Attributes

seriesSeries: Series containing resulting values
gdfGeoDataFrame: original GeoDataFrame
valuesSeries: Series containing used values
swlibpysal.weights: spatial weights matrix
idSeries: Series containing used unique ID

__init__(gdf, values, spatial_weights, unique_id, verbose=True)[source]¶: Initialize self. See help(type(self)) for accurate signature.

Methods

__init__(gdf, values, spatial_weights, unique_id)

Initialize self.

momepy.Theil momepy.shannon_diversity