File:UsdCircVolume5YAvgChangeRate.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: 64 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: Plotting using the following Python code:
from matplotlib import pyplot as plt
import datetime
# data from https://fred.stlouisfed.org/series/CURRCIR
inputData=[
"1918-01-01,4.019",
"1919-01-01,4.763",
"1920-01-01,4.944",
"1921-01-01,5.114",
"1922-01-01,4.240",
"1923-01-01,4.392",
"1924-01-01,4.560",
"1925-01-01,4.576",
"1926-01-01,4.604",
"1927-01-01,4.616",
"1928-01-01,4.498",
"1929-01-01,4.461",
"1930-01-01,4.365",
"1931-01-01,4.408",
"1932-01-01,5.358",
"1933-01-01,5.344",
"1934-01-01,5.382",
"1935-01-01,5.411",
"1936-01-01,5.757",
"1937-01-01,6.400",
"1938-01-01,6.397",
"1939-01-01,6.712",
"1940-01-01,7.443",
"1941-01-01,8.591",
"1942-01-01,11.105",
"1943-01-01,15.399",
"1944-01-01,20.428",
"1945-01-01,25.243",
"1946-01-01,28.158",
"1947-01-01,28.543",
"1948-01-01,28.394",
"1949-01-01,27.850",
"1950-01-01,27.220",
"1951-01-01,27.304",
"1952-01-01,28.637",
"1953-01-01,29.920",
"1954-01-01,30.282",
"1955-01-01,30.110",
"1956-01-01,30.620",
"1957-01-01,31.040",
"1958-01-01,31.059",
"1959-01-01,31.555",
"1960-01-01,32.041",
"1961-01-01,32.300",
"1962-01-01,33.327",
"1963-01-01,34.616",
"1964-01-01,36.873",
"1965-01-01,39.046",
"1966-01-01,41.618",
"1967-01-01,44.000",
"1968-01-01,46.434",
"1969-01-01,49.784",
"1970-01-01,52.737",
"1971-01-01,56.192",
"1972-01-01,60.224",
"1973-01-01,65.289",
"1974-01-01,70.987",
"1975-01-01,77.831",
"1976-01-01,84.744",
"1977-01-01,92.519",
"1978-01-01,102.041",
"1979-01-01,112.335",
"1980-01-01,123.088",
"1981-01-01,133.836",
"1982-01-01,142.941",
"1983-01-01,153.954",
"1984-01-01,169.89",
"1985-01-01,180.656",
"1986-01-01,194.166",
"1987-01-01,208.204",
"1988-01-01,226.968",
"1989-01-01,244.685",
"1990-01-01,257.126",
"1991-01-01,284.909",
"1992-01-01,304.146",
"1993-01-01,331.004",
"1994-01-01,363.472",
"1995-01-01,400.687",
"1996-01-01,418.642",
"1997-01-01,444.684",
"1998-01-01,474.597",
"1999-01-01,511.037",
"2000-01-01,594.679",
"2001-01-01,585.106",
"2002-01-01,635.429",
"2003-01-01,679.411",
"2004-01-01,713.752",
"2005-01-01,750.197",
"2006-01-01,786.823",
"2007-01-01,808.848",
"2008-01-01,817.367",
"2009-01-01,886.184",
"2010-01-01,921.235",
"2011-01-01,978.912",
"2012-01-01,1069.691",
"2013-01-01,1160.082",
"2014-01-01,1231.631",
"2015-01-01,1333.447",
"2016-01-01,1417.331",
"2017-01-01,1504.579",
"2018-01-01,1611.341",
"2019-01-01,1709.726",
"2020-01-01,1798.984",
"2021-01-01,2093.534",
"2022-01-01,2233.526",
"2023-01-01,2300.46",
"2024-01-01,2337.788"]
dates = []
volumes = []
alternativeVolumes = []
calcRatesRaw = []
calcRates = []
initVolume = 3.714
alternativeVolume = initVolume
rate = 1.062
for dataRowStr in inputData:
dataRow = dataRowStr.split(",")
date = datetime.datetime.strptime(dataRow[0], "%Y-%m-%d").date()
volume = float(dataRow[1])
dates.append(date)
volumes.append(volume)
alternativeVolumes.append(alternativeVolume)
alternativeVolume *= rate
if len(volumes) > 1:
calcRatesRaw.append(volumes[-1] / volumes[-1 - 1])
else:
calcRatesRaw.append(float("nan"))
if len(volumes) > 5:
calcRates.append((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 (billions of dollars)", title="USD circulation volume (per stlouisfed.org)\n"
"2nd value: 6.2% annually growth curve")
plt.plot(dates, volumes, color="#6699CC")
plt.plot(dates, alternativeVolumes, color="#CC9933")
plt.grid(linewidth=0.25, color="#DDDDDD")
plt.savefig("UsdCircVolume.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="USD circulation volume\nAnnual rate of change (base data per stlouisfed.org)"
biax.set(xlabel="Date (1 Jan)", ylabel="Rate of change", title=title)
xtickDates = []
xtickDatesStr = []
for idx, date in enumerate(dates):
if idx % 5 == 2:
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")
values = biax.get_yticks()
biax.set_yticklabels(['{:,.0%}'.format(x - 1) for x in values])
plt.tight_layout()
plt.savefig("UsdCircVolumeChangeRate.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="USD circulation volume\n5-year average of annual rate of change (base data per stlouisfed.org)"
biax.set(xlabel="Date (1 Jan)", ylabel="Rate of change", title=title)
xtickDates = []
xtickDatesStr = []
for idx, date in enumerate(dates):
if idx % 5 == 2:
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")
plt.yticks([1 + x * 0.025 for x in range(-1, 12)])
values = biax.get_yticks()
biax.set_yticklabels(['{:,.1%}'.format(x - 1) for x in values])
plt.tight_layout()
plt.savefig("UsdCircVolume5YAvgChangeRate.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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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 12:22, 26 March 2024 | | 864 × 432 (64 KB) | Dan Polansky | Update |
| 11:18, 26 March 2024 |  | 864 × 432 (64 KB) | Dan Polansky | Uploaded own work with UploadWizard |
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