Installation

Run the following to install:

‘’’python

pip install geot_cluster’’’

Usage

Before using make sure, that your dataset corresponds with requirements. Csv file must contain the following columns in order to work correctly

• user_id : string type, example: “423156821”

• event_dt : string type, example: “20190312”

• event_time: string type, example: “2019-03-12 06:24:00.279”

• lattitude : float type, example: 49.862621

• longtitude: see lattitude

Workflow:

import geot_cluster

import markov_clustering as mc
import matplotlib.pyplot as plt
import networkx as nx


path = [path to file with data]
data, names = geot_cluster.data_load(path)


%matplotlib notebook
base = [path to the folder, where to store libs with information about clients]

archivate = True
libs= True
graph_f = True
cluster_f = True


if(archivate):
    geot_cluster.archivate_maps(data, names, levels=4)

if(libs):
    lib = geot_cluster.graph_preparation(data, names, base)
    prob_lib = geot_cluster.znakomstvo_by_lib(lib,data)

lib, prob_lib = load_libs(base = base)

if(graph_f):
    graph = geot_cluster.graph_forming(lib, prob_lib, treshold=0.9)

if(cluster_f):
    result = mc.run_mcl(graph,pruning_threshold=0.7, inflation=2,expansion=2)
    clusters = mc.get_clusters(result)

    clust_0 = clusters_to_ids(lib=lib, prob_lib=prob_lib, clusters = clusters, number = 0)
    maps = get_cluster_maps(data = data, clust = clust_0)
    print("Number of clusters", len(clusters))

    plt.figure(figsize=(10,10))
    mc.drawing.draw_graph(result, clusters, edge_color="red",node_size=15,width = 1, with_labels=True, font_size = 8)