momepy.Unique

class momepy.Unique(gdf, values, spatial_weights, unique_id, dropna=True, verbose=True)

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

dropnabool (default True)

Don’t include NaN in the counts of unique values.

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, dropna=True, verbose=True)

Methods

__init__(gdf, values, spatial_weights, unique_id)