libpysal.weights.
Rook
(polygons, **kw)[source]¶Construct a weights object from a collection of pysal polygons that share at least one edge.
Parameters: |
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See also
libpysal.weights.weights.W
Attributes: |
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Methods
asymmetry ([intrinsic]) |
Asymmetry check. |
from_adjlist (adjlist[, focal_col, …]) |
Return an adjacency list representation of a weights object. |
from_dataframe (df[, geom_col, idVariable, …]) |
Construct a weights object from a pandas dataframe with a geometry column. |
from_iterable (iterable[, sparse]) |
Construct a weights object from a collection of arbitrary polygons. |
from_networkx (graph[, weight_col]) |
Convert a networkx graph to a PySAL W object. |
from_shapefile (filepath[, idVariable, full]) |
Rook contiguity weights from a polygon shapefile. |
full () |
Generate a full numpy array. |
get_transform () |
Getter for transform property. |
plot (gdf[, indexed_on, ax, color, node_kws, …]) |
Plot spatial weights objects. |
remap_ids (new_ids) |
In place modification throughout W of id values from w.id_order to new_ids in all |
set_shapefile (shapefile[, idVariable, full]) |
Adding meta data for writing headers of gal and gwt files. |
set_transform ([value]) |
Transformations of weights. |
symmetrize ([inplace]) |
Construct a symmetric KNN weight. |
to_WSP () |
Generate a WSP object. |
to_adjlist ([remove_symmetric, focal_col, …]) |
Compute an adjacency list representation of a weights object. |
to_networkx () |
Convert a weights object to a networkx graph |
from_WSP | |
from_file |
Methods
__init__ (polygons, **kw) |
Initialize self. |
asymmetry ([intrinsic]) |
Asymmetry check. |
from_WSP (WSP[, silence_warnings]) |
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from_adjlist (adjlist[, focal_col, …]) |
Return an adjacency list representation of a weights object. |
from_dataframe (df[, geom_col, idVariable, …]) |
Construct a weights object from a pandas dataframe with a geometry column. |
from_file ([path, format]) |
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from_iterable (iterable[, sparse]) |
Construct a weights object from a collection of arbitrary polygons. |
from_networkx (graph[, weight_col]) |
Convert a networkx graph to a PySAL W object. |
from_shapefile (filepath[, idVariable, full]) |
Rook contiguity weights from a polygon shapefile. |
full () |
Generate a full numpy array. |
get_transform () |
Getter for transform property. |
plot (gdf[, indexed_on, ax, color, node_kws, …]) |
Plot spatial weights objects. |
remap_ids (new_ids) |
In place modification throughout W of id values from w.id_order to new_ids in all |
set_shapefile (shapefile[, idVariable, full]) |
Adding meta data for writing headers of gal and gwt files. |
set_transform ([value]) |
Transformations of weights. |
symmetrize ([inplace]) |
Construct a symmetric KNN weight. |
to_WSP () |
Generate a WSP object. |
to_adjlist ([remove_symmetric, focal_col, …]) |
Compute an adjacency list representation of a weights object. |
to_networkx () |
Convert a weights object to a networkx graph |
Attributes
asymmetries |
List of id pairs with asymmetric weights. |
cardinalities |
Number of neighbors for each observation. |
component_labels |
Store the graph component in which each observation falls. |
diagW2 |
Diagonal of \(WW\). |
diagWtW |
Diagonal of \(W^{'}W\). |
diagWtW_WW |
Diagonal of \(W^{'}W + WW\). |
histogram |
Cardinality histogram as a dictionary where key is the id and value is the number of neighbors for that unit. |
id2i |
Dictionary where the key is an ID and the value is that ID’s index in W.id_order. |
id_order |
Returns the ids for the observations in the order in which they would be encountered if iterating over the weights. |
id_order_set |
Returns True if user has set id_order, False if not. |
islands |
List of ids without any neighbors. |
max_neighbors |
Largest number of neighbors. |
mean_neighbors |
Average number of neighbors. |
min_neighbors |
Minimum number of neighbors. |
n |
Number of units. |
n_components |
Store whether the adjacency matrix is fully connected. |
neighbor_offsets |
Given the current id_order, neighbor_offsets[id] is the offsets of the id’s neighbors in id_order. |
nonzero |
Number of nonzero weights. |
pct_nonzero |
Percentage of nonzero weights. |
s0 |
s0 is defined as |
s1 |
s1 is defined as |
s2 |
s2 is defined as |
s2array |
Individual elements comprising s2. |
sd |
Standard deviation of number of neighbors. |
sparse |
Sparse matrix object. |
transform |
Getter for transform property. |
trcW2 |
Trace of \(WW\). |
trcWtW |
Trace of \(W^{'}W\). |
trcWtW_WW |
Trace of \(W^{'}W + WW\). |