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Summary
| Description |
English: Source: Statistics Canada. Table 18-10-0005-01 Consumer Price Index, annual average, not seasonally adjusted, accessed April 28, 2022 |
| Date | |
| Source | Own work |
| Author | WIlliam Chen |
| SVG development |  This plot was created with Matplotlib. |
| Source code | Python code#!/usr/bin/env python
# Author: William Chen. 2022-04-28
# -*- coding: utf-8 -*-
import matplotlib.pyplot as pyplot
import numpy as np
# Import CPI, All-Items from 1914-2021
# Source:
year = [
1914,
1915,
1916,
1917,
1918,
1919,
1920,
1921,
1922,
1923,
1924,
1925,
1926,
1927,
1928,
1929,
1930,
1931,
1932,
1933,
1934,
1935,
1936,
1937,
1938,
1939,
1940,
1941,
1942,
1943,
1944,
1945,
1946,
1947,
1948,
1949,
1950,
1951,
1952,
1953,
1954,
1955,
1956,
1957,
1958,
1959,
1960,
1961,
1962,
1963,
1964,
1965,
1966,
1967,
1968,
1969,
1970,
1971,
1972,
1973,
1974,
1975,
1976,
1977,
1978,
1979,
1980,
1981,
1982,
1983,
1984,
1985,
1986,
1987,
1988,
1989,
1990,
1991,
1992,
1993,
1994,
1995,
1996,
1997,
1998,
1999,
2000,
2001,
2002,
2003,
2004,
2005,
2006,
2007,
2008,
2009,
2010,
2011,
2012,
2013,
2014,
2015,
2016,
2017,
2018,
2019,
2020,
2021,
]
cpi = [
6,
6.1,
6.7,
7.9,
8.9,
9.8,
11.4,
10,
9.2,
9.2,
9,
9.1,
9.2,
9.1,
9.1,
9.2,
9.1,
8.2,
7.5,
7.1,
7.2,
7.3,
7.4,
7.7,
7.7,
7.7,
8,
8.5,
8.8,
9,
9.1,
9.2,
9.4,
10.3,
11.8,
12.2,
12.5,
13.8,
14.2,
14,
14.1,
14.1,
14.3,
14.8,
15.2,
15.3,
15.5,
15.7,
15.9,
16.1,
16.4,
16.8,
17.5,
18.1,
18.8,
19.7,
20.3,
20.9,
21.9,
23.6,
26.2,
29,
31.1,
33.6,
36.6,
40,
44,
49.5,
54.9,
58.1,
60.6,
63,
65.6,
68.5,
71.2,
74.8,
78.4,
82.8,
84,
85.6,
85.7,
87.6,
88.9,
90.4,
91.3,
92.9,
95.4,
97.8,
100,
102.8,
104.7,
107,
109.1,
111.5,
114.1,
114.4,
116.5,
119.9,
121.7,
122.8,
125.2,
126.6,
128.4,
130.4,
133.4,
136,
137,
141.6,
]
np_original_cpi = np.array([year, cpi])
# Create a selection (1998-2021)
np_cpi = np.delete(np_original_cpi, np_original_cpi[0] < 1980, 1)
# Plot the selection
pyplot.title(f'''Consumer Price Index, Canada, All-Items\n ({int(np_cpi[0][0])} - {int(np_cpi[0][-1])})''')
pyplot.ylabel("CPI, All-Items")
pyplot.xlabel("Year")
pyplot.locator_params(axis="y", nbins=(np_cpi[1][-1]/10))
pyplot.plot(np_cpi[0],np_cpi[1])
# For shorter selections, preserving optionality to have year labels on x axis
# pyplot.xticks(np_cpi[0])
# Add Gridlines to y axis
pyplot.grid(axis = 'y')
pyplot.savefig('cpi_canada.svg')
pyplot.show()
|
}}
Licensing
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File history
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 01:40, 29 April 2022 | | 540 × 360 (31 KB) | Cyali | Uploaded own work with UploadWizard |
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