kix2mix2

def do_kdtree(combined_x_y_arrays, points):
    mytree = scipy.spatial.cKDTree(combined_x_y_arrays)
    dist, indexes = mytree.query(points)
    return indexes
  
def get_grid(x, y, size_x=40, size_y=40):
    min_x = np.min(x)
    max_x = np.max(x)
    min_y = np.min(y)
    max_y = np.max(y)

kix2mix2

def get_kncg(df, K=4):
  # df is a pandas dataframe with mandatory columns ['x','y']
    graph = get_knntree(df, 1)
    for node_a, row in df.iterrows():
        if node_a % KK_prints == 0:
            print(K)
        node_a_coord = list(row[:2])
        ncns = []

kix2mix2

import networkx as nx 
from scipy.spatial.distance import euclidean, pdist, squareform
import pandas as pd
import numpy as np

def get_gong(df, y=0):
# df is a DataFrame with columns 'x' and 'y'
    graph = nx.DiGraph()
    graph.add_nodes_from(df.iterrows())
    dists = pdist(df[["x", "y"]])

kix2mix2

def stacked_plots(traces, name):
	fig = tools.make_subplots(rows = len(traces), cols =1)
	for i, trace in enumerate(traces):
		j = i + 1
		if j%2==0:
			j = int(j/2)
		else:
			j = int((j+1)/2)
		fig.append_trace(trace, j, 1)

kix2mix2

import io
import dash
import dash_html_components as html
from flask import send_file
import pandas as pd


app = dash.Dash()
app.layout = html.Div(
    children=[html.A("download excel", href="/download_excel/")])