rejsmont

rejsmont

# Based on swarmplot code from seaborn - slightly adapted to take either a PathCollection or a list of PathCollections,
# thus enabling a hybrid swarm of scatter plots using different markers.
# Source: https://github.com/mwaskom/seaborn/blob/f1852b584c3edb750cfc0ee7c6cf6b34453ca5c9/seaborn/categorical.py
# License and copyright: https://github.com/mwaskom/seaborn/blob/master/LICENSE
# Comments from the source removed for brevity

def swarmify(ax, swarm, width, **kws):

    def could_overlap(xy_i, swarm, d):
        _, y_i = xy_i

rejsmont

rejsmont

import re, requests
from urllib.request import urlopen
from lxml import etree

def committee_available(comm):
    url = 'https://anr.fr/fr/detail/call/appel-a-projets-generique-2020/'
    headers = {'Content-Type': 'text/html',}
    response = requests.get(url, headers=headers)
    html = response.text
    htmlparser = etree.HTMLParser()

rejsmont

#!/usr/bin/env python3

import os

print("Enter output filename:")
name = input()
print("Paste cURL command string:")
cmd = input()

headers = []

rejsmont

import requests
import pandas as pd

def get_wikipedia_data(country):

    s = requests.Session()
    url = "https://en.wikipedia.org/w/api.php"

    p = {
        "action": "query",

rejsmont

#! /usr/bin/python

from __future__ import division
from __future__ import print_function

import csv
import argparse
import numpy
import numpy.linalg
import numpy.random

rejsmont

<?php

/*
 * Copyright 2013 Radoslaw Kamil Ejsmont <radoslaw@ejsmont.net>
 *
 * Original code by mailaneel is available at
 * https://gist.github.com/mailaneel/1363377
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.