File:CzechResidentialRePrice.svg
From Wikiversity
Jump to navigation
Jump to search
Size of this PNG preview of this SVG file: 768 × 432 pixels. Other resolutions: 320 × 180 pixels | 640 × 360 pixels | 1,024 × 576 pixels | 1,280 × 720 pixels | 2,560 × 1,440 pixels.
Original file (SVG file, nominally 768 × 432 pixels, file size: 79 KB)
This is a file from the Wikimedia Commons. The description on its description page there is shown below.
Commons is a freely licensed media file repository. You can help. |
Summary
DescriptionCzechResidentialRePrice.svg |
English: Czech residential real estate price, plotted using 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:
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.
Plotting code
from matplotlib import pyplot as plt
import datetime
plotPrices = True
plot5YRates = True
# Data source: https://fred.stlouisfed.org/series/QCZN628BIS
# Residential Property Prices for Czech Republic, Index 2010=100, Quarterly, Not Seasonally Adjusted
inputDataFred = [
"2008-01-01:102.074",
"2008-04-01:106.2746",
"2008-07-01:107.8498",
"2008-10-01:107.2197",
"2009-01-01:104.9094",
"2009-04-01:101.549",
"2009-07-01:100.7088",
"2009-10-01:99.9737",
"2010-01-01:99.9737",
"2010-04-01:100.1838",
"2010-07-01:99.8687",
"2010-10-01:99.9737",
"2011-01-01:100.1838",
"2011-04-01:100.7088",
"2011-07-01:100.0788",
"2011-10-01:99.1336",
"2012-01-01:98.6086",
"2012-04-01:98.7136",
"2012-07-01:98.5035",
"2012-10-01:98.3985",
"2013-01-01:98.2935",
"2013-04-01:98.8186",
"2013-07-01:98.7136",
"2013-10-01:98.5035",
"2014-01-01:99.7637",
"2014-04-01:100.6038",
"2014-07-01:101.4439",
"2014-10-01:102.179",
"2015-01-01:103.2292",
"2015-04-01:104.3844",
"2015-07-01:105.6445",
"2015-10-01:106.7997",
"2016-01-01:108.1649",
"2016-04-01:110.3702",
"2016-07-01:113.1006",
"2016-10-01:118.4563",
"2017-01-01:122.0268",
"2017-04-01:125.0722",
"2017-07-01:127.2775",
"2017-10-01:128.4327",
"2018-01-01:131.268",
"2018-04-01:135.1536",
"2018-07-01:138.514",
"2018-10-01:141.1394",
"2019-01-01:144.0798",
"2019-04-01:147.6503",
"2019-07-01:150.5907",
"2019-10-01:153.7411",
"2020-01-01:156.4715",
"2020-04-01:159.0969",
"2020-07-01:163.1924",
"2020-10-01:167.498",
"2021-01-01:177.3694",
"2021-04-01:186.5056",
"2021-07-01:199.3174",
"2021-10-01:210.659",
"2022-01-01:220.8454",
"2022-04-01:228.0914",
"2022-07-01:230.4017",
"2022-10-01:225.256",
"2023-01-01:222.4206",
"2023-04-01:221.8955",
"2023-07-01:222.3156"]
# From https://vdb.czso.cz/
# For reference and is not used.
czsoData = {2006: 109, # 2005 index
2007: 128.9,
2008: 144.9,
2009: 138.1}
# Apartment prices, from https://www.cnb.cz/export/sites/cnb/cs/financni-stabilita/.galleries/zpravy_fs/fs_2010-2011/fs_2010-2011_kap_3_2.xls
# For reference only; not used
cnbApartmentData = [
"31.3.1999:100.0",
"30.6.1999:101.1",
"30.9.1999:102.3",
"31.12.1999:105.9",
"31.3.2000:110.4",
"30.6.2000:112.2",
"30.9.2000:110.8",
"31.12.2000:114.9",
"31.3.2001:118.9",
"30.6.2001:125.9",
"30.9.2001:129.9",
"31.12.2001:139.8",
"31.3.2002:148.6",
"30.6.2002:155.8",
"30.9.2002:157.5",
"31.12.2002:164.8",
"31.3.2003:177.5",
"30.6.2003:190.9",
"30.9.2003:192.7",
"31.12.2003:185.8",
"31.3.2004:184.3",
"30.6.2004:182.5",
"30.9.2004:180.7",
"31.12.2004:180.9",
"31.3.2005:181.8",
"30.6.2005:182.7",
"30.9.2005:183.6",
"31.12.2005:185.8",
"31.3.2006:189.8",
"30.6.2006:194.6",
"30.9.2006:198.7",
"31.12.2006:212.0",
"31.3.2007:237.9",
"30.6.2007:258.3",
"30.9.2007:268.7",
"31.12.2007:278.4",
"31.3.2008:292.4",
"30.6.2008:308.5",
"30.9.2008:313.7",
"31.12.2008:306.9",
"31.3.2009:288.5",
"30.6.2009:265.4",
"30.9.2009:260.5",
"31.12.2009:258.3",
"31.3.2010:257.3",
"30.6.2010:257.2",
"30.9.2010:255.6",
"31.12.2010:253.4",
"31.3.2011:248.9"]
# Real estate prices, from https://www.cnb.cz/export/sites/cnb/cs/financni-stabilita/.galleries/zpravy_fs/fs_2010-2011/fs_2010-2011_kap_3_2.xls
# Question: are commercial RE prices included? Nothing in the XLS says otherwise.
cnbRealEstateData = [
"31.3.1999:100.0",
"30.6.1999:103.0",
"30.9.1999:106.4",
"31.12.1999:110.8",
"31.3.2000:112.8",
"30.6.2000:115.4",
"30.9.2000:117.6",
"31.12.2000:120.8",
"31.3.2001:123.7",
"30.6.2001:127.8",
"30.9.2001:133.4",
"31.12.2001:139.9",
"31.3.2002:146.0",
"30.6.2002:149.5",
"30.9.2002:151.1",
"31.12.2002:153.7",
"31.3.2003:159.1",
"30.6.2003:165.4",
"30.9.2003:166.6",
"31.12.2003:163.8",
"31.3.2004:164.9",
"30.6.2004:165.6",
"30.9.2004:166.8",
"31.12.2004:167.0",
"31.3.2005:168.0",
"30.6.2005:170.1",
"30.9.2005:173.0",
"31.12.2005:176.8",
"31.3.2006:180.9",
"30.6.2006:185.0",
"30.9.2006:188.6",
"31.12.2006:195.3",
"31.3.2007:207.9",
"30.6.2007:219.1",
"30.9.2007:225.6",
"31.12.2007:231.1",
"31.3.2008:238.3",
"30.6.2008:248.3",
"30.9.2008:253.3",
"31.12.2008:251.7",
"31.3.2009:244.5",
"30.6.2009:234.9",
"30.9.2009:232.5",
"31.12.2009:231.6"]
dates = []
prices = []
calc5YRates = []
for dataRowStr in inputDataFred:
dataRow = dataRowStr.split(":")
date = datetime.datetime.strptime(dataRow[0], "%Y-%m-%d").date()
price = float(dataRow[1])
dates.append(date)
prices.append(price)
qInY = 4 # Quarter count in year
if len(prices) > 5 * qInY:
calc5YRates.append((float(prices[-1]) / prices[-1 - 5 * qInY]) ** (1/5.0))
else:
calc5YRates.append(float("nan"))
cnbIndexValues = []
cnbDates = []
for dataRowStr in cnbRealEstateData:
dataRow = dataRowStr.split(":")
date = datetime.datetime.strptime(dataRow[0], "%d.%m.%Y").date()
cnbIndexValue = float(dataRow[1]) * 0.4
cnbDates.append(date)
cnbIndexValues.append(cnbIndexValue)
datesUnited = sorted(set(dates) | set(cnbDates))
if plotPrices:
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="Index 1: 1999=40 points\nIndex 2: 2010=100 points", # 40 points match the 0.4 above.
title="Czech (residential) real estate prices, index, quarterly step (per CNB and stlouisfed.org)\n"+
"Series 1: RE prices from CNB; series 2: residential RE prices from stlouisfed.org\n" +
"Disclaimer: the visual juxtaposition of the two series may be misleading")
xtickDates, xtickDatesStr = [], []
for year in range(1999, 2023+1):
date = datetime.datetime.strptime(str(year) + "-01-01", "%Y-%m-%d").date()
xtickDates.append(date)
xtickDatesStr.append(str(year))
plt.ylim(0, 240)
plt.yticks([x * 20 for x in range(0, 13)])
plt.plot(dates, prices, color="#6699CC")
plt.plot(cnbDates, cnbIndexValues, color="#99CC66")
plt.xticks(xtickDates, xtickDatesStr, rotation=70)
plt.grid(linewidth=0.25, color="#CCCCCC")
plt.tight_layout()
plt.savefig("CzechResidentialRePrice.svg")
if plot5YRates: # Issue: there are not enough years for this to make sense
fig, biax = plt.subplots()
figSize = fig.get_size_inches()
fig.set_size_inches(figSize[0] * 4/3, figSize[1])
biax.set(xlabel="Withdrawal date (label on 1 January)", ylabel="Index change rate",
title="5-year change rate of Czech residential real estate, annualized (base data per stlouisfed.org)\n" +
"The date of withdrawal, the date of deposit being 5 years before")
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.axhline(1, color='#BBBBBB', linewidth=0.75)
plt.plot(dates, calc5YRates, color="#6699CC")
plt.grid(linewidth=0.25, color="#CCCCCC")
biax.set_yticklabels(['{:,.1%}'.format(x - 1) for x in biax.get_yticks()])
plt.tight_layout()
plt.savefig("CzechResidentialRePrice5YYield.svg")
This media file is uncategorized.
Please help improve this media file by adding it to one or more categories, so it may be associated with related media files (how?), and so that it can be more easily found.
Please notify the uploader with {{subst:Please link images|File:CzechResidentialRePrice.svg}} ~~~~ |
Items portrayed in this file
depicts
some value
11 April 2024
image/svg+xml
8f2c371d58171b290548a5ae698a6807741b66a0
81,207 byte
432 pixel
768 pixel
File history
Click on a date/time to view the file as it appeared at that time.
Date/Time | Thumbnail | Dimensions | User | Comment | |
---|---|---|---|---|---|
current | 09:59, 12 April 2024 | 768 × 432 (79 KB) | Dan Polansky | Expand. | |
14:54, 11 April 2024 | 768 × 432 (56 KB) | Dan Polansky | Uploaded own work with UploadWizard |
File usage
The following page uses this file:
Metadata
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 | 614.4pt |
---|---|
Height | 345.6pt |
Retrieved from "https://en.wikiversity.org/wiki/File:CzechResidentialRePrice.svg"