nilsabdi

[{"rank":1,"region":"EU","points":1078.3145346143147,"name":"G2","roster":[{"name":"NiKo","country":"Bosnia and Herzegovina","countryIso":"ba"},{"name":"huNter-","country":"Bosnia and Herzegovina","countryIso":"ba"},{"name":"jks","country":"Australia","countryIso":"au"},{"name":"HooXi","country":"Denmark","countryIso":"dk"},{"name":"m0NESY","country":"Russia","countryIso":"ru"}]},{"rank":2,"region":"EU","points":964.8764710157909,"name":"Heroic","roster":[{"name":"cadiaN","country":"Denmark","countryIso":"dk"},{"name":"stavn","country":"Denmark","countryIso":"dk"},{"name":"TeSeS","country":"Denmark","countryIso":"dk"},{"name":"sjuush","country":"Denmark","countryIso":"dk"},{"name":"jabbi","country":"Denmark","countryIso":"dk"}]},{"rank":3,"region":"EU","points":952.9201875832356,"name":"FaZe","roster":[{"name":"karrigan","country":"Denmark","countryIso":"dk"},{"name":"rain","country":"Norway","countryIso":"no"},{"name":"Twistzz","country":"Canada","countryIso":"ca"},{"name":"ropz","country":"Estonia","country

nilsabdi

def weight_proc(matrix, name, k, diag=0, checks=False):

    if checks:
        if not all(matrix[i][j] == matrix[j][i] for i, neighbors in matrix.neighbors.items() for j in neighbors):
            print("Matrix is not symmetric!")

    full_matrix, ids = matrix.full()
    np.fill_diagonal(full_matrix, diag)

    # Convert to a sparse matrix

nilsabdi

import pickle
import time
import pandas as pd
import geopandas as gpd
from libpysal.weights import Kernel
from shapely.geometry import Point
from splot import esda as esdaplot
from pysal.explore import esda
from esda.moran import Moran
import os