File:M1Czk.svg
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Original file (SVG file, nominally 768 × 432 pixels, file size: 56 KB)
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Summary
| Description |
English: M1 for Czech koruna, plotted using the Python code from Plotting code section. |
| Date | |
| Source | Own work |
| Author | Dan Polansky |
Licensing
I, the copyright holder of this work, hereby publish it under the following license:
 
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This file is made available under the Creative Commons CC0 1.0 Universal Public Domain Dedication. |
| The person who associated a work with this deed has dedicated the work to the public domain by waiving all of their rights to the work worldwide under copyright law, including all related and neighboring rights, to the extent allowed by law. You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission.
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Plotting code
from matplotlib import pyplot as plt
import datetime
plotVolumes = True
plot5YRates = True
# Data source: https://fred.stlouisfed.org/series/MANMM101CZM189S
# Monetary Aggregates and Their Components: Narrow Money and Components: M1 and Components: M1 for Czech Republic
inputData = [
"1992-01-01:299900586309",
"1993-01-01:327992471007",
"1994-01-01:397930617923",
"1995-01-01:460389204558",
"1996-01-01:505141168003",
"1997-01-01:510735204451",
"1998-01-01:462456969714",
"1999-01-01:474918190185",
"2000-01-01:560543555662",
"2001-01-01:627108580315",
"2002-01-01:729226581281",
"2003-01-01:829713932183",
"2004-01-01:955249065459",
"2005-01-01:1035270929067",
"2006-01-01:1189629719818",
"2007-01-01:1354505088788",
"2008-01-01:1554279670013",
"2009-01-01:1663630375906",
"2010-01-01:1764267842161",
"2011-01-01:2021736629542",
"2012-01-01:2159948978182",
"2013-01-01:2343007587057",
"2014-01-01:2513052291257",
"2015-01-01:2777038135916",
"2016-01-01:3120552567448",
"2017-01-01:3509883450694",
"2018-01-01:3788613657730"]
dates = []
volumes = []
calcRates = []
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)
if len(volumes) > 5:
calcRates.append((float(volumes[-1]) / volumes[-1 - 5]) ** (1/5.0))
else:
calcRates.append(float("nan"))
if plotVolumes:
fig, biax = plt.subplots()
figSize = fig.get_size_inches()
fig.set_size_inches(figSize[0] * 4/3, figSize[1])
biax.set(xlabel="Date (Label on 1 January)", ylabel="M1 (Czech Koruna)",
title="Czech Koruna M1 (per stlouisfed.org)")
xtickDates, xtickDatesStr = [], []
for idx, date in enumerate(dates):
if date.month == 1 and date.day == 1:
xtickDates.append(date)
xtickDatesStr.append(str(date.year))
plt.xticks(xtickDates, xtickDatesStr, rotation=70)
plt.plot(dates, volumes, color="#6699CC")
plt.grid(linewidth=0.25, color="#CCCCCC")
plt.tight_layout()
plt.savefig("M1Czk.svg")
if plot5YRates:
# Plot 5Y average annual rate of change
fig, biax = plt.subplots()
figSize = fig.get_size_inches()
fig.set_size_inches(figSize[0] * 4/3, figSize[1])
title="Czech Koruna M1\n5-year average of annual rate of change (base data per stlouisfed.org)"
biax.set(xlabel="Date (label on 1 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, 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("M1Czk5YAvgChangeRate.svg")
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 15:00, 10 April 2024 | | 768 × 432 (56 KB) | Dan Polansky | Uploaded own work with UploadWizard |
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