File:EuroCircVolumeChangeRate.svg
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Size of this PNG preview of this SVG file: 800 × 400 pixels. Other resolutions: 320 × 160 pixels | 640 × 320 pixels | 1,024 × 512 pixels | 1,280 × 640 pixels | 2,560 × 1,280 pixels | 864 × 432 pixels.
Original file (SVG file, nominally 864 × 432 pixels, file size: 62 KB)
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This is a file from the Wikimedia Commons. The description on its description page there is shown below.
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Summary
| Description |
English: Plotted using the following Python code:
from matplotlib import pyplot as plt
import datetime
# data from https://www.statista.com/statistics/442970/currency-in-circulation-euro-area/
statistaData=[
"Jan 2022:1477903",
"Jan 2021:1373282",
"Jan 2020:1224145",
"Jan 2019:1162364",
"Jan 2018:1108037",
"Jan 2017:1075639",
"Jan 2016:1037669",
"Jan 2015:979089",
"Jan 2014:908272",
"Jan 2013:856975",
"Jan 2012:842958",
"Jan 2011:796249",
"Jan 2010:757084",
"Jan 2009:712199",
"Jan 2008:623127",
"Jan 2007:575640",
"Jan 2006:520777",
"Jan 2005:459893",
"Jan 2004:389117",
"Jan 2003:312120",
"Jan 2002:246680",
"Jan 2001:336070",
"Jan 2000:333840",
"Jan 1999:314331",
"Jan 1998:311449"]
statistaData.reverse()
dates = []
volumes = []
alternativeVolumes = []
calcRatesRaw = []
calcRates = []
initVolume = 311449
alternativeVolume = initVolume
rate = 1.065
for dataRowStr in statistaData:
dataRow = dataRowStr.split(":")
date = datetime.datetime.strptime("1 " + dataRow[0], "%d %b %Y").date()
volume = int(dataRow[1])
dates.append(date)
volumes.append(volume)
alternativeVolumes.append(alternativeVolume)
alternativeVolume *= rate
if len(volumes) > 1:
calcRatesRaw.append(float(volumes[-1]) / volumes[-1 - 1])
else:
calcRatesRaw.append(float("nan"))
if len(volumes) > 5:
calcRates.append((float(volumes[-1]) / volumes[-1 - 5]) ** (1/5.0))
else:
calcRates.append(float("nan"))
fig, biax = plt.subplots()
figSize = fig.get_size_inches()#_
fig.set_size_inches(figSize[0] * 3/2, figSize[1])#:
biax.set(xlabel="Date", ylabel="Volume (million euros)", title="Euro volume (per Statista.com)\n"
"2nd value: 6.5% annual growth curve")
plt.plot(dates, volumes, color="#6699CC")
plt.plot(dates, alternativeVolumes, color="#CC9933")
plt.ylim(0, 1600000)
plt.grid(linewidth=0.25, color="#DDDDDD")
plt.savefig("EuroVolume.svg")
# Plot annual rate of change
fig, biax = plt.subplots()
figSize = fig.get_size_inches()
fig.set_size_inches(figSize[0] * 3/2, figSize[1])
title="Euro circulation volume\nAnnual rate of change (base data per Statista.com)"
biax.set(xlabel="Date (January)", ylabel="Rate of change", title=title)
xtickDates = []
xtickDatesStr = []
for idx, date in enumerate(dates):
xtickDates.append(date)
xtickDatesStr.append(str(date.year))
plt.xticks(xtickDates, xtickDatesStr, rotation=70)
plt.axhline(1, color='#BBBBBB', linewidth=0.75)
plt.plot(dates, calcRatesRaw, color="#6699CC")
plt.grid(linewidth=0.25, color="#DDDDDD")
plt.yticks([1 + x * 0.05 for x in range(-6, 6)])
values = biax.get_yticks()
biax.set_yticklabels(['{:,.0%}'.format(x - 1) for x in values])
plt.tight_layout()
plt.savefig("EuroCircVolumeChangeRate.svg")
# Plot 5Y average annual rate of change
fig, biax = plt.subplots()
figSize = fig.get_size_inches()
fig.set_size_inches(figSize[0] * 3/2, figSize[1])
title="Euro circulation volume\n5-year average of annual rate of change (base data per Statista.com)"
biax.set(xlabel="Date (Jan)", ylabel="Rate of change", title=title)
xtickDates = []
xtickDatesStr = []
for idx, date in enumerate(dates):
xtickDates.append(date)
xtickDatesStr.append(str(date.year))
plt.xticks(xtickDates, xtickDatesStr, rotation=70)
plt.axhline(1, color='#BBBBBB', linewidth=0.75)
plt.plot(dates, calcRates, color="#6699CC")
plt.grid(linewidth=0.25, color="#DDDDDD")
values = biax.get_yticks()
biax.set_yticklabels(['{:,.1%}'.format(x - 1) for x in values])
plt.tight_layout()
plt.savefig("EuroCircVolume5YAvgChangeRate.svg")
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| Date | |
| Source | Own work |
| Author | Dan Polansky |
Licensing
I, the copyright holder of this work, hereby publish it under the following license:
This file is licensed under the Creative Commons Attribution 4.0 International license.
- You are free:
- to share – to copy, distribute and transmit the work
- to remix – to adapt the work
- Under the following conditions:
- attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
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File history
Click on a date/time to view the file as it appeared at that time.
| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 12:23, 26 March 2024 | | 864 × 432 (62 KB) | Dan Polansky | Update |
| 11:20, 26 March 2024 |  | 864 × 432 (62 KB) | Dan Polansky | Uploaded own work with UploadWizard |
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