Original file (SVG file, nominally 600 × 480 pixels, file size: 42 KB)
This is a file from the
Wikimedia Commons. Information from its
description page there is shown below. Commons is a freely licensed media file repository. You can help. |
DescriptionNuclear-energy-timeline.svg |
English: Timeline of nuclear power in the world. Top: amount of energy produced. Bottom: Number of reactors. Data is from IAEA and EIA. |
Date | |
Source | Own work |
Author | Geek3 |
SVG development InfoField | This plot was created with
Matplotlib. This file is
translated using SVG switch elements: all translations are stored in the same file. |
Source code InfoField | Python code#! /usr/bin/env python3
# -*- coding:utf8 -*-
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.ticker as ticker
# data source: PRIS, OurWorldInData
years_reactors_construction_Eprod_Pcap =
1955, 1, 15, 'nan', 0.005],
1956, 2, 27, 'nan', 0.055],
1957, 5, 30, 'nan', 0.105],
1958, 6, 35, 'nan', 0.155],
1959, 11, 39, 'nan', 0.393],
1960, 15, 42, 'nan', 0.845],
1961, 16, 48, 'nan', 0.86],
1962, 25, 43, 'nan', 1.75],
1963, 33, 43, 'nan', 2.10],
1964, 40, 44, 'nan', 3.06],
1965, 48, 51, 26, 4.74],
1966, 55, 68, 34, 6.11],
1967, 64, 92, 41, 8.12],
1968, 69, 102, 52, 9.14],
1969, 78, 130, 61, 12.7],
1970, 84, 138, 79, 16.3],
1971, 99, 149, 110, 24.0],
1972, 113, 160, 152, 33.0],
1973, 132, 165, 204, 45.5],
1974, 154, 176, 267, 62.5],
1975, 169, 191, 370, 72.9],
1976, 186, 187, 433, 87.2],
1977, 200, 185, 539, 99.7],
1978, 219, 189, 626, 115.8],
1979, 225, 202, 651, 121.6],
1980, 245, 196, 712, 135.0],
1981, 267, 187, 841, 156.3],
1982, 284, 178, 912, 170.2],
1983, 306, 160, 1034, 189.8],
1984, 336, 140, 1255, 221.2],
1985, 363, 119, 1489, 253.0],
1986, 389, 97, 1595, 277.9],
1987, 407, 79, 1735, 299.3],
1988, 416, 70, 1891, 311.6],
1989, 420, 56, 1945, 320.1],
1990, 416, 56, 2000, 325.1],
1991, 415, 57, 2096, 324.7],
1992, 418, 58, 2112, 329.3],
1993, 427, 48, 2185, 336.3],
1994, 429, 45, 2226, 339.4],
1995, 434, 39, 2322, 342.5],
1996, 438, 33, 2407, 349.2],
1997, 434, 35, 2390, 349.3],
1998, 430, 41, 2431, 346.2],
1999, 432, 42, 2524, 348.9],
2000, 435, 40, 2581, 351.5],
2001, 438, 38, 2654, 354.5],
2002, 444, 27, 2596, 358.6],
2003, 443, 25, 2642, 360.8],
2004, 443, 25, 2762, 366.1],
2005, 442, 22, 2769, 369.0],
2006, 442, 30, 2803, 371.7],
2007, 438, 32, 2746, 371.6],
2008, 436, 36, 2738, 369.7],
2009, 436, 49, 2699, 369.9],
2010, 438, 59, 2769, 372.1],
2011, 443, 61, 2653, 375.9],
2012, 429, 63, 2471, 364.6],
2013, 428, 68, 2491, 365.7],
2014, 426, 72, 2541, 364.9],
2015, 435, 67, 2576, 374.7],
2016, 438, 62, 2614, 380.6],
2017, 438, 59, 2637, 382.1],
2018, 444, 55, 2700, 390.1],
2019, 443, 46, 2796, 390.3],
2020, 435, 52, 2694, 385.8],
2021, 435, 56, 2800, 386.3
# please update in future.
years, reactors, construction, Eprod, Pcap = map(list, zip(*years_reactors_construction_Eprod_Pcap))
Eprod = np.array([float(x) for x in Eprod])
Pcap = np.array([float(x) for x in Pcap])
reactors = np.array(reactors)
construction = np.array(construction)
Pprod = Eprod * (1e3 / (24 * 365.25))
Nsum = reactors + construction
labels = {"y1": {"en":"power [GW]", "de":"Leistung [GW]", "it":"Potenza [GW]"},
"y2":{"en":"number of\npower reactors", "de":"Anzahl der\nKernreaktoren", "it":"Numero di\nReattori di potenza"},
"installed":{"en":"installed", "de":"installiert", "it":"installata"},
"realized":{"en":"realized", "de":"genutzt", "it":"realizzata"},
"construction":{"en":"Under Construction", "de":"Im Bau", "it":"In Construzione"},
"active":{"en":"Active Reactors", "de":"Aktive Reaktoren", "it":"Reattori attivi"},
"threemile":{"en":"Three Mile Island", "de":"Three Mile Island", "it":"Three Mile Island"},
"chernobyl":{"en":"Chernobyl", "de":"Tschernobyl", "it":"Chernobyl"},
"fukushima":{"en":"Fukushima", "de":"Fukushima", "it":"Fukushima"} }
plt.rcParams.update({'text.usetex':False, "svg.fonttype":"none", 'font.size':14})
fig = plt.figure(figsize=(600 / 90.0, 480 / 90.0), dpi=72)
ax1 = plt.subplot(211)
plt.plot(years, Pcap, color='blue', lw=2, label=labels'installed']['en'])
plt.plot(years, Pprod, color='red', zorder=-1, lw=2, label=labels'realized']['en'])
plt.ylabel(labels'y1']['en'])
plt.xlim(years0], years-1])
plt.ylim(0, 400)
plt.grid(True)
plt.setp(ax1.get_xticklabels(), visible=False)
plt.legend(loc='upper left', framealpha=1, borderpad=0.8)
ax2 = plt.subplot(212, sharex=ax1)
plt.fill_between(years, Nsum, reactors, color='#d0d0d0', zorder=-5)
plt.plot(years, Nsum, color='#808080')
plt.fill_between(years, reactors, color='blue')
plt.plot(years, reactors, color='black')
ax2.yaxis.set_major_locator(ticker.MultipleLocator(100))
plt.ylim(0, 550)
#plt.xlabel('year')
plt.ylabel(labels'y2']['en'])
plt.grid(True)
ax2.text(1976, 270, labels'construction']['en'], ha="center", va="center", rotation=45)
ax2.text(2000, 230, labels'active']['en'], ha="center", va="center", bbox={'facecolor': 'white', 'edgecolor': 'black', 'boxstyle': 'square', 'pad':0.6})
arrowprops={'arrowstyle':'->', 'ec':'red', 'connectionstyle':'angle,angleA=0,angleB=270'}
ax2.annotate(labels'threemile']['en'], (1979.3, 427), (1977, 470), size=11, ha='right', va='center', arrowprops=arrowprops)
ax2.annotate(labels'chernobyl']['en'], (1986.3, 482), (1984, 520), size=11, ha='right', va='center', arrowprops=arrowprops)
ax2.annotate(labels'fukushima']['en'], (2011.2, 492), (2009, 520), size=11, ha='right', va='center', arrowprops=arrowprops)
plt.tight_layout()
fname = 'Nuclear-energy-timeline.svg'
plt.savefig(fname)
if True:
# create multilingual labels with the svg switch element
from copy import deepcopy
from lxml import etree
for k, v in list(labels.items()):
# fix multi-line labels
if '\n' in v'en']:
for i, line in enumerate(v'en'.split('\n')):
labelsk+str(i)] = dict([(k2, v2.split('\n')[i]) for k2, v2 in v.items()])
with open(fname, "r") as svgfile:
svg = etree.parse(svgfile, etree.XMLParser()).getroot()
for label, values in labels.items():
for el in svg.findall(".//{" + svg.nsmapNone + "}text"):
if el.text == values"en"]:
switch = etree.SubElement(el.getparent(), "switch")
for lang, text in values.items():
el2 = deepcopy(el)
el2.set("systemLanguage", lang)
el2.text = text
switch.append(el2)
switch.append(el)
with open(fname, "w") as svgfile:
svgfile.write(etree.tostring(svg, pretty_print=True, encoding="unicode"))
|
This file may be updated to reflect new information. If you wish to use a specific version of the file without new updates being mirrored, please upload the required version as a separate file. |
Click on a date/time to view the file as it appeared at that time.
Date/Time | Thumbnail | Dimensions | User | Comment | |
---|---|---|---|---|---|
current | 16:39, 3 November 2022 | 600 × 480 (42 KB) | Geek3 | Uploaded own work with UploadWizard |
The following other wikis use this file:
This file contains additional information, probably added from the digital camera or scanner used to create or digitize it.
If the file has been modified from its original state, some details may not fully reflect the modified file.
Width | 480pt |
---|---|
Height | 384pt |
Original file (SVG file, nominally 600 × 480 pixels, file size: 42 KB)
This is a file from the
Wikimedia Commons. Information from its
description page there is shown below. Commons is a freely licensed media file repository. You can help. |
DescriptionNuclear-energy-timeline.svg |
English: Timeline of nuclear power in the world. Top: amount of energy produced. Bottom: Number of reactors. Data is from IAEA and EIA. |
Date | |
Source | Own work |
Author | Geek3 |
SVG development InfoField | This plot was created with
Matplotlib. This file is
translated using SVG switch elements: all translations are stored in the same file. |
Source code InfoField | Python code#! /usr/bin/env python3
# -*- coding:utf8 -*-
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.ticker as ticker
# data source: PRIS, OurWorldInData
years_reactors_construction_Eprod_Pcap =
1955, 1, 15, 'nan', 0.005],
1956, 2, 27, 'nan', 0.055],
1957, 5, 30, 'nan', 0.105],
1958, 6, 35, 'nan', 0.155],
1959, 11, 39, 'nan', 0.393],
1960, 15, 42, 'nan', 0.845],
1961, 16, 48, 'nan', 0.86],
1962, 25, 43, 'nan', 1.75],
1963, 33, 43, 'nan', 2.10],
1964, 40, 44, 'nan', 3.06],
1965, 48, 51, 26, 4.74],
1966, 55, 68, 34, 6.11],
1967, 64, 92, 41, 8.12],
1968, 69, 102, 52, 9.14],
1969, 78, 130, 61, 12.7],
1970, 84, 138, 79, 16.3],
1971, 99, 149, 110, 24.0],
1972, 113, 160, 152, 33.0],
1973, 132, 165, 204, 45.5],
1974, 154, 176, 267, 62.5],
1975, 169, 191, 370, 72.9],
1976, 186, 187, 433, 87.2],
1977, 200, 185, 539, 99.7],
1978, 219, 189, 626, 115.8],
1979, 225, 202, 651, 121.6],
1980, 245, 196, 712, 135.0],
1981, 267, 187, 841, 156.3],
1982, 284, 178, 912, 170.2],
1983, 306, 160, 1034, 189.8],
1984, 336, 140, 1255, 221.2],
1985, 363, 119, 1489, 253.0],
1986, 389, 97, 1595, 277.9],
1987, 407, 79, 1735, 299.3],
1988, 416, 70, 1891, 311.6],
1989, 420, 56, 1945, 320.1],
1990, 416, 56, 2000, 325.1],
1991, 415, 57, 2096, 324.7],
1992, 418, 58, 2112, 329.3],
1993, 427, 48, 2185, 336.3],
1994, 429, 45, 2226, 339.4],
1995, 434, 39, 2322, 342.5],
1996, 438, 33, 2407, 349.2],
1997, 434, 35, 2390, 349.3],
1998, 430, 41, 2431, 346.2],
1999, 432, 42, 2524, 348.9],
2000, 435, 40, 2581, 351.5],
2001, 438, 38, 2654, 354.5],
2002, 444, 27, 2596, 358.6],
2003, 443, 25, 2642, 360.8],
2004, 443, 25, 2762, 366.1],
2005, 442, 22, 2769, 369.0],
2006, 442, 30, 2803, 371.7],
2007, 438, 32, 2746, 371.6],
2008, 436, 36, 2738, 369.7],
2009, 436, 49, 2699, 369.9],
2010, 438, 59, 2769, 372.1],
2011, 443, 61, 2653, 375.9],
2012, 429, 63, 2471, 364.6],
2013, 428, 68, 2491, 365.7],
2014, 426, 72, 2541, 364.9],
2015, 435, 67, 2576, 374.7],
2016, 438, 62, 2614, 380.6],
2017, 438, 59, 2637, 382.1],
2018, 444, 55, 2700, 390.1],
2019, 443, 46, 2796, 390.3],
2020, 435, 52, 2694, 385.8],
2021, 435, 56, 2800, 386.3
# please update in future.
years, reactors, construction, Eprod, Pcap = map(list, zip(*years_reactors_construction_Eprod_Pcap))
Eprod = np.array([float(x) for x in Eprod])
Pcap = np.array([float(x) for x in Pcap])
reactors = np.array(reactors)
construction = np.array(construction)
Pprod = Eprod * (1e3 / (24 * 365.25))
Nsum = reactors + construction
labels = {"y1": {"en":"power [GW]", "de":"Leistung [GW]", "it":"Potenza [GW]"},
"y2":{"en":"number of\npower reactors", "de":"Anzahl der\nKernreaktoren", "it":"Numero di\nReattori di potenza"},
"installed":{"en":"installed", "de":"installiert", "it":"installata"},
"realized":{"en":"realized", "de":"genutzt", "it":"realizzata"},
"construction":{"en":"Under Construction", "de":"Im Bau", "it":"In Construzione"},
"active":{"en":"Active Reactors", "de":"Aktive Reaktoren", "it":"Reattori attivi"},
"threemile":{"en":"Three Mile Island", "de":"Three Mile Island", "it":"Three Mile Island"},
"chernobyl":{"en":"Chernobyl", "de":"Tschernobyl", "it":"Chernobyl"},
"fukushima":{"en":"Fukushima", "de":"Fukushima", "it":"Fukushima"} }
plt.rcParams.update({'text.usetex':False, "svg.fonttype":"none", 'font.size':14})
fig = plt.figure(figsize=(600 / 90.0, 480 / 90.0), dpi=72)
ax1 = plt.subplot(211)
plt.plot(years, Pcap, color='blue', lw=2, label=labels'installed']['en'])
plt.plot(years, Pprod, color='red', zorder=-1, lw=2, label=labels'realized']['en'])
plt.ylabel(labels'y1']['en'])
plt.xlim(years0], years-1])
plt.ylim(0, 400)
plt.grid(True)
plt.setp(ax1.get_xticklabels(), visible=False)
plt.legend(loc='upper left', framealpha=1, borderpad=0.8)
ax2 = plt.subplot(212, sharex=ax1)
plt.fill_between(years, Nsum, reactors, color='#d0d0d0', zorder=-5)
plt.plot(years, Nsum, color='#808080')
plt.fill_between(years, reactors, color='blue')
plt.plot(years, reactors, color='black')
ax2.yaxis.set_major_locator(ticker.MultipleLocator(100))
plt.ylim(0, 550)
#plt.xlabel('year')
plt.ylabel(labels'y2']['en'])
plt.grid(True)
ax2.text(1976, 270, labels'construction']['en'], ha="center", va="center", rotation=45)
ax2.text(2000, 230, labels'active']['en'], ha="center", va="center", bbox={'facecolor': 'white', 'edgecolor': 'black', 'boxstyle': 'square', 'pad':0.6})
arrowprops={'arrowstyle':'->', 'ec':'red', 'connectionstyle':'angle,angleA=0,angleB=270'}
ax2.annotate(labels'threemile']['en'], (1979.3, 427), (1977, 470), size=11, ha='right', va='center', arrowprops=arrowprops)
ax2.annotate(labels'chernobyl']['en'], (1986.3, 482), (1984, 520), size=11, ha='right', va='center', arrowprops=arrowprops)
ax2.annotate(labels'fukushima']['en'], (2011.2, 492), (2009, 520), size=11, ha='right', va='center', arrowprops=arrowprops)
plt.tight_layout()
fname = 'Nuclear-energy-timeline.svg'
plt.savefig(fname)
if True:
# create multilingual labels with the svg switch element
from copy import deepcopy
from lxml import etree
for k, v in list(labels.items()):
# fix multi-line labels
if '\n' in v'en']:
for i, line in enumerate(v'en'.split('\n')):
labelsk+str(i)] = dict([(k2, v2.split('\n')[i]) for k2, v2 in v.items()])
with open(fname, "r") as svgfile:
svg = etree.parse(svgfile, etree.XMLParser()).getroot()
for label, values in labels.items():
for el in svg.findall(".//{" + svg.nsmapNone + "}text"):
if el.text == values"en"]:
switch = etree.SubElement(el.getparent(), "switch")
for lang, text in values.items():
el2 = deepcopy(el)
el2.set("systemLanguage", lang)
el2.text = text
switch.append(el2)
switch.append(el)
with open(fname, "w") as svgfile:
svgfile.write(etree.tostring(svg, pretty_print=True, encoding="unicode"))
|
This file may be updated to reflect new information. If you wish to use a specific version of the file without new updates being mirrored, please upload the required version as a separate file. |
Click on a date/time to view the file as it appeared at that time.
Date/Time | Thumbnail | Dimensions | User | Comment | |
---|---|---|---|---|---|
current | 16:39, 3 November 2022 | 600 × 480 (42 KB) | Geek3 | Uploaded own work with UploadWizard |
The following other wikis use this file:
This file contains additional information, probably added from the digital camera or scanner used to create or digitize it.
If the file has been modified from its original state, some details may not fully reflect the modified file.
Width | 480pt |
---|---|
Height | 384pt |