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@catslovedata
catslovedata / 20230410D.ipynb
Created April 10, 2023 15:11
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@catslovedata
catslovedata / 20230410C.py
Created April 10, 2023 15:04
# Formatting
# Remove borders
for s in (ax.spines['top'], ax.spines['right'], ax.spines['bottom'], ax.spines['left'], ax2.spines['top'], ax2.spines['right'], ax2.spines['bottom'], ax2.spines['left']):
s.set_visible(False)
# Force all the dates to show on the x axis
ax2.set_xticks(data['python_date'])
@catslovedata
catslovedata / 20230410B.py
Last active April 10, 2023 15:00
# Set some color constants
COLOR_RED = '#dc322f'
COLOR_GREEN = '#2aa198'
COLOR_VLINES = '#073642'
COLOR_VOLUME = '#268bd2'
COLOR_AXES = '#657b83'
COLOR_TITLE = '#002b36'
COLOR_BACKGROUND = '#f6f6f6'
@catslovedata
catslovedata / 20230410A.py
Last active April 10, 2023 14:45
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import matplotlib.font_manager as fm
from datetime import datetime, timedelta
# Set the seed for reproducibility
np.random.seed(300)
# Dates
@catslovedata
catslovedata / 20230220E.html
Created February 19, 2023 20:25
This file has been truncated, but you can view the full file.
<html>
<head><meta charset="utf-8" /></head>
<body>
<div> <script type="text/javascript">window.PlotlyConfig = {MathJaxConfig: 'local'};</script>
<script type="text/javascript">/**
* plotly.js v2.18.0
* Copyright 2012-2023, Plotly, Inc.
* All rights reserved.
* Licensed under the MIT license
*/
@catslovedata
catslovedata / 20230220D.ipynb
Created February 19, 2023 20:23
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@catslovedata
catslovedata / 20230220C.py
Created February 19, 2023 19:38
import plotly.io as pio
import plotly.express as px
pio.renderers.default = 'notebook'
# px.set_mapbox_access_token('SET_ME')
fig = px.scatter_mapbox(
df,
lat='latitude',
lon='longitude',
@catslovedata
catslovedata / 20230220C.py
Created February 19, 2023 19:22
import pandas as pd
df = pd.DataFrame(data, columns=['shopping_centre', 'city_town', 'region', 'size_sq_m', 'latitude', 'longitude'])
@catslovedata
catslovedata / 20230220B.py
Created February 19, 2023 19:05
data = []
def get_coords_from_wiki_page(str) -> list:
s = BeautifulSoup(requests.get(str).content, 'html.parser')
return s.find(class_='geo').contents[0].split(';')
for r in rows:
cells = r.find_all('td')
shopping_centre = cells[1].a.contents[0]
city_town = cells[2].get_text().replace('\n','')
@catslovedata
catslovedata / 20230220A.py
Created February 19, 2023 18:58
import requests
from bs4 import BeautifulSoup
c = requests.get('https://en.wikipedia.org/wiki/List_of_shopping_centres_in_the_United_Kingdom_by_size').content
s = BeautifulSoup(c, 'html.parser')
rows = s.table.find_all('tr')[1:]