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Code to reproduce the "Temperature Circle" visualization.
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# | |
# Hi all, | |
# this is the Python code I used to make the visualization "Temperature circle" | |
# (https://twitter.com/anttilip/status/892318734244884480). | |
# Please be aware that originally I wrote this for my tests only so the | |
# code was not ment to be published and is a mess and has no comments. | |
# Feel free to improve, modify, do whatever you want with it. If you decide | |
# to use the code, make an improved version of it, or it is useful for you | |
# in some another way I would be happy to know about it. You can contact me | |
# for example in Twitter (@anttilip). Unchecked demo data (no quarantees) | |
# for year 2017 Jan-Jul is included here and this code draws only a single image. | |
# The animation code is basically just a loop through the years. To keep | |
# it simple, I only included one year here. | |
# | |
# Thanks and have fun! | |
# Antti | |
# | |
# --------- | |
# | |
# Copyright 2017 Antti Lipponen | |
# | |
# Permission is hereby granted, free of charge, to any person obtaining a copy | |
# of this software and associated documentation files (the "Software"), to deal | |
# in the Software without restriction, including without limitation the rights | |
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell | |
# copies of the Software, and to permit persons to whom the Software is | |
# furnished to do so, subject to the following conditions: | |
# | |
# The above copyright notice and this permission notice shall be included in all | |
# copies or substantial portions of the Software. | |
# | |
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR | |
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS | |
# FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR | |
# COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER | |
# IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN | |
# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. | |
import numpy as np | |
import matplotlib as mpl | |
import matplotlib.pyplot as plt | |
from matplotlib.patches import Circle | |
backgroundcolor = '#faf2eb' | |
fontname = 'Lato' | |
yearname = '2017' | |
data2017 = { | |
'AMERICA': [ | |
['Antigua and Barbuda', 0.68], | |
['Argentina', 0.89], | |
['Bahamas', 0.65], | |
['Barbados', 0.68], | |
['Belize', 1.22], | |
['Bolivia', 1.22], | |
['Brazil', 1.23], | |
['Canada', 1.72], | |
['Chile', 0.93], | |
['Colombia', 0.88], | |
['Costa Rica', 0.76], | |
['Cuba', 0.78], | |
['Dominica', 0.64], | |
['Dominican Republic', 0.82], | |
['Ecuador', 1.16], | |
['El Salvador', 0.66], | |
['Grenada', 0.75], | |
['Guatemala', 1.25], | |
['Guyana', 0.65], | |
['Haiti', 0.56], | |
['Honduras', 1.1], | |
['Jamaica', 0.51], | |
['Mexico', 1.75], | |
['Nicaragua', 0.96], | |
['Panama', 0.65], | |
['Paraguay', 1.02], | |
['Peru', 1.25], | |
['Saint Kitts and Nevis', 0.68], | |
['Saint Lucia', 0.73], | |
['Saint Vincent and the Grenadines', 0.75], | |
['Suriname', 0.62], | |
['Trinidad and Tobago', 0.73], | |
['United States', 1.92], | |
['Uruguay', 1.02], | |
['Venezuela', 0.86], | |
], | |
'OCEANIA': [ | |
['Australia', 0.77], | |
['Fiji', 0.64], | |
['Kiribati', 0.21], | |
['Marshall Islands', 0.66], | |
['Micronesia', 0.9], | |
['Nauru', 0.82], | |
['New Zealand', 0.47], | |
['Palau', 0.94], | |
['Papua New Guinea', 0.92], | |
['Samoa', 0.77], | |
['Solomon Island', 1.0], | |
['Tonga', 0.86], | |
['Vanuatu', 1.17], | |
], | |
'EUROPE': [ | |
['Albania', 1.07], | |
['Andorra', 1.88], | |
['Armenia', 0.38], | |
['Austria', 1.66], | |
['Azerbaijan', 0.51], | |
['Belarus', 1.58], | |
['Belgium', 1.79], | |
['Bosnia and Herzegovina', 1.4], | |
['Bulgaria', 0.89], | |
['Croatia', 1.5], | |
['Cyprus', 0.38], | |
['Czech Republic', 1.68], | |
['Denmark', 1.73], | |
['Estonia', 1.67], | |
['Finland', 1.48], | |
['France', 1.62], | |
['Georgia', 0.44], | |
['Germany', 1.76], | |
['Greece', 0.77], | |
['Hungary', 1.49], | |
['Iceland', 1.66], | |
['Ireland', 1.57], | |
['Italy', 1.57], | |
['Latvia', 1.70], | |
['Liechtenstein', 1.74], | |
['Lithuania', 1.70], | |
['Luxembourg', 1.79], | |
['Macedonia', 0.99], | |
['Malta', 1.03], | |
['Moldova', 1.12], | |
['Montenegro', 1.25], | |
['Netherlands', 1.77], | |
['Norway', 1.63], | |
['Poland', 1.67], | |
['Portugal', 1.71], | |
['Romania', 1.14], | |
['San Marino', 1.59], | |
['Serbia', 1.23], | |
['Slovakia', 1.56], | |
['Slovenia', 1.59], | |
['Spain', 1.89], | |
['Sweden', 1.69], | |
['Switzerland', 1.76], | |
['Ukraine', 1.23], | |
['United Kingdom', 1.68], | |
], | |
'AFRICA': [ | |
['Algeria', 1.79], | |
['Angola', 0.70], | |
['Benin', 1.13], | |
['Botswana', 0.65], | |
['Burkina Faso', 1.20], | |
['Burundi', 1.20], | |
['Cameroon', 1.05], | |
['Cape Verde', 0.72], | |
['Central African Republic', 1.06], | |
['Chad', 1.04], | |
['Comoros', 0.90], | |
['Congo', 0.88], | |
['Democratic Republic of Congo', 0.97], | |
['Djibouti', 1.2], | |
['Egypt', 0.7], | |
['Equatorial Guinea', 0.92], | |
['Eritrea', 1.22], | |
['Ethiopia', 1.35], | |
['Gabon', 0.86], | |
['Gambia', 1.43], | |
['Ghana', 1.08], | |
['Guinea', 1.34], | |
['Guinea-Bissau', 1.39], | |
['Ivory Coast', 1.22], | |
['Kenya', 1.14], | |
['Lesotho', 0.84], | |
['Liberia', 1.21], | |
['Libya', 0.94], | |
['Madagascar', 1.16], | |
['Malawi', 0.89], | |
['Mali', 1.32], | |
['Mauritania', 1.56], | |
['Mauritius', 1.16], | |
['Morocco', 1.86], | |
['Mozambique', 0.90], | |
['Namibia', 0.94], | |
['Niger', 0.90], | |
['Nigeria', 1.10], | |
['Rwanda', 1.23], | |
['Sao Tome and Principe', 0.86], | |
['Senegal', 1.41], | |
['Seychelles', 0.99], | |
['Sierra Leone', 1.29], | |
['Somalia', 1.19], | |
['South Africa', 0.91], | |
['South Sudan', 1.27], | |
['Sudan', 1.17], | |
['Swaziland', 0.69], | |
['Tanzania', 1.01], | |
['Togo', 1.20], | |
['Tunisia', 1.81], | |
['Uganda', 1.26], | |
['Zambia', 0.59], | |
['Zimbabwe', 0.58], | |
], | |
'ASIA': [ | |
['Afghanistan', 1.78], | |
['Bahrain', 1.48], | |
['Bangladesh', 0.52], | |
['Bhutan', 0.61], | |
['Brunei', 0.77], | |
['Burma (Myanmar)', 0.65], | |
['Cambodia', 0.84], | |
['China', 1.80], | |
['East Timor', 0.34], | |
['India', 0.96], | |
['Indonesia', 0.67], | |
['Iran', 1.48], | |
['Iraq', 0.68], | |
['Israel', 0.52], | |
['Japan', 1.03], | |
['Jordan', 0.56], | |
['Kazakhstan', 1.91], | |
['Kuwait', 1.24], | |
['Kyrgyzstan', 1.57], | |
['Laos', 0.87], | |
['Lebanon', 0.42], | |
['Malaysia', 0.79], | |
['Maldives', 0.70], | |
['Mongolia', 3.05], | |
['Nepal', 0.71], | |
['North Korea', 2.01], | |
['Oman', 1.53], | |
['Pakistan', 1.76], | |
['Philippines', 0.81], | |
['Qatar', 1.86], | |
['Russian Federation', 3.01], | |
['Saudi Arabia', 1.46], | |
['Singapore', 0.51], | |
['South Korea', 1.65], | |
['Sri Lanka', 0.90], | |
['Syria', 0.40], | |
['Tajikistan', 1.39], | |
['Thailand', 0.85], | |
['Turkey', 0.39], | |
['Turkmenistan', 1.50], | |
['United Arab Emirates', 2.08], | |
['Uzbekistan', 1.54], | |
['Vietnam', 0.72], | |
['Yemen', 1.37], | |
] | |
} | |
def rotText(areaText, defaultspacing, rotangleoffset, rText, fontname): | |
angle = areaText[0][1] | |
for ii, l in enumerate(areaText): | |
if ii > 0: | |
angle += defaultspacing + l[1] | |
plt.text( | |
(rText) * np.sin(np.deg2rad(angle)), | |
(rText) * np.cos(np.deg2rad(angle)), | |
'{}'.format(l[0]), | |
{'ha': 'center', 'va': 'center'}, | |
rotation=-angle + rotangleoffset, | |
fontsize=15, | |
fontname=fontname, | |
) | |
plt.rcParams['axes.facecolor'] = backgroundcolor | |
mpl.rcParams.update({'font.size': 22}) | |
cmap = plt.get_cmap('RdYlBu_r') | |
norm = mpl.colors.Normalize(vmin=-2.0, vmax=2.0) | |
Ncountries = 0 | |
Ncontinents = 0 | |
for countrylist in data2017.items(): | |
Ncountries += len(countrylist[1]) | |
Ncontinents += 1 | |
spaceBetweenContinents = 3.0 # degrees | |
Nspaces = Ncontinents - 1 | |
anglePerCountry = (345.0 - Nspaces * spaceBetweenContinents) / (Ncountries - 1) | |
fig, ax = plt.subplots(figsize=(12, 12)) | |
renderer = fig.canvas.get_renderer() | |
transf = ax.transData.inverted() | |
limitangles = np.linspace(np.deg2rad(5.0), np.deg2rad(355.0), 500) | |
scaleRs = [ | |
[1.5, '-2.0', True, 0.25], | |
[0.5 * (1.5 + 2.25), '-1.0', True, 0.25], | |
[2.25, '0.0', True, 1.0], | |
[0.5 * (3.0 + 2.25), '+1.0', True, 0.25], | |
[3.0, '+2.0', True, 0.25], | |
[3.3, '$^\\circ$C', False, 0.0] | |
] | |
for r in scaleRs: | |
if r[2]: | |
ax.plot(r[0] * np.sin(limitangles), r[0] * np.cos(limitangles), linewidth=r[3], color='#888888', linestyle='-') | |
plt.text( | |
0.0, | |
r[0], | |
'{}'.format(r[1]), | |
{'ha': 'center', 'va': 'center'}, | |
fontsize=12, | |
fontname=fontname, | |
) | |
angle = 7.5 | |
rText = 3.96 | |
for continent in ['AFRICA', 'ASIA', 'EUROPE', 'AMERICA', 'OCEANIA']: | |
for country in data2017[continent]: | |
if angle < 185.0: | |
rotangle = -angle + 90.0 | |
else: | |
rotangle = -angle - 90.0 | |
plt.text( | |
(rText) * np.sin(np.deg2rad(angle)), | |
(rText) * np.cos(np.deg2rad(angle)), | |
'{}'.format(country[0]), | |
{'ha': 'center', 'va': 'center'}, | |
rotation=rotangle, | |
fontsize=8, | |
fontname=fontname, | |
bbox={ | |
'facecolor': backgroundcolor, | |
'linestyle': 'solid', | |
'linewidth': 0.0, | |
'boxstyle': 'square,pad=0.0' | |
} | |
) | |
ax.plot( | |
[1.3 * np.sin(np.deg2rad(angle)), 3.8 * np.sin(np.deg2rad(angle))], | |
[1.3 * np.cos(np.deg2rad(angle)), 3.8 * np.cos(np.deg2rad(angle))], | |
linewidth=0.6, | |
linestyle='--', | |
color='#DEDEDE' | |
) | |
lowerRoffset = 0.015 | |
temperatureAnomaly = country[1] | |
rValue = 1.5 + (temperatureAnomaly + 2.0) / 4.0 * 1.5 # a lot more clever way for computing the radius should be used here... | |
ax.plot( | |
[(1.3 + lowerRoffset) * np.sin(np.deg2rad(angle)), rValue * np.sin(np.deg2rad(angle))], | |
[(1.3 + lowerRoffset) * np.cos(np.deg2rad(angle)), rValue * np.cos(np.deg2rad(angle))], | |
linewidth=4.3, | |
linestyle='-', | |
color='#202020' | |
) | |
ax.plot( | |
[(1.3 + lowerRoffset) * np.sin(np.deg2rad(angle)), rValue * np.sin(np.deg2rad(angle))], | |
[(1.3 + lowerRoffset) * np.cos(np.deg2rad(angle)), rValue * np.cos(np.deg2rad(angle))], | |
linewidth=4.0, | |
linestyle='-', | |
color=cmap(norm(temperatureAnomaly)) | |
) | |
angle += anglePerCountry | |
angle += spaceBetweenContinents | |
c = Circle((0.0, 0.0), radius=1.0, fill=True, color='#fff9f5') | |
ax.add_patch(c) | |
plt.text( | |
0.0, | |
-0.52, | |
yearname, | |
{'ha': 'center', 'va': 'bottom'}, | |
fontsize=40, | |
fontname=fontname, | |
) | |
plt.text( | |
0.0, | |
0.27, | |
'Year', | |
{'ha': 'center', 'va': 'center'}, | |
fontsize=26, | |
fontname=fontname, | |
) | |
angles = np.linspace(np.deg2rad(0.0), np.deg2rad(360.0), 1000) | |
rs = [1.0, 1.3] | |
for r in rs: | |
ax.plot(r * np.sin(angles), r * np.cos(angles), linewidth=1.0, color='#666666', linestyle='-') | |
plt.text( | |
5.87, | |
-4.67, | |
'Antti Lipponen (@anttilip)', | |
{'ha': 'right', 'va': 'center'}, | |
fontsize=10, | |
fontname=fontname, | |
) | |
plt.text( | |
-6.3 + 0.015, | |
4.385 - 0.015, | |
'Temperature anomalies', | |
{'ha': 'left', 'va': 'center'}, | |
fontsize=27, | |
fontname=fontname, | |
color='#909090' | |
) | |
plt.text( | |
-6.3, | |
4.385, | |
'Temperature anomalies', | |
{'ha': 'left', 'va': 'center'}, | |
fontsize=27, | |
fontname=fontname, | |
color='#0D0D0D' | |
) | |
plt.text( | |
-6.35, | |
-4.35, | |
'Data source:\nNASA GISS Surface Temperature Analysis (GISTEMP)\nLand-Ocean Temperature Index, ERSSTv4, 1200km smoothing\nhttps://data.giss.nasa.gov/gistemp/\nAverage of monthly temperature anomalies. GISTEMP base period 1951-1980.', | |
{'ha': 'left', 'va': 'center'}, | |
fontsize=10, | |
fontname=fontname, | |
) | |
areaText = [ | |
['A', 46.0], | |
['f', 0.3], | |
['r', -0.05], | |
['i', -0.15], | |
['c', -0.15], | |
['a', 0.2], | |
] | |
rText, defaultspacing, rotangleoffset = 1.13, 4.4, 0.0 | |
rotText(areaText, defaultspacing, rotangleoffset, rText, fontname) | |
areaText = [ | |
['E', 236.0], | |
['u', 0.0], | |
['r', 0.3], | |
['o', 0.7], | |
['p', 0.0], | |
['e', 0.0], | |
] | |
rText, defaultspacing, rotangleoffset = 1.155, -5.5, 180.0 | |
rotText(areaText, defaultspacing, rotangleoffset, rText, fontname) | |
areaText = [ | |
['A', 147.0], | |
['s', -0.8], | |
['i', 0.0], | |
['a', 0.0], | |
] | |
rText, defaultspacing, rotangleoffset = 1.155, -4.7, 180.0 | |
rotText(areaText, defaultspacing, rotangleoffset, rText, fontname) | |
areaText = [ | |
['A', 276.0], | |
['m', 2.5], | |
['e', 0.6], | |
['r', -0.15], | |
['i', -2.0], | |
['c', -2.0], | |
['a', -0.15], | |
] | |
rText, defaultspacing, rotangleoffset = 1.13, 5.85, 0.0 | |
rotText(areaText, defaultspacing, rotangleoffset, rText, fontname) | |
areaText = [ | |
['O', 328.5], | |
['c', 1.0], | |
['e', 0.0], | |
['a', 0.2], | |
['n', 0.2], | |
['i', -0.3], | |
['a', -0.3], | |
] | |
rText, defaultspacing, rotangleoffset = 1.125, 4.8, 0.0 | |
rotText(areaText, defaultspacing, rotangleoffset, rText, fontname) | |
ax.set_xlim([-5.0, 5.0]) | |
ax.set_ylim([-5.0, 5.0]) | |
plt.axis('off') | |
plt.savefig('temperatureCircle.png', facecolor=backgroundcolor, edgecolor='none', dpi=160) | |
plt.close() | |
# and finally I used imageMagick to crop the image for animation |
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