File:Industrialization per capita 1750-1900.svg

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Summary

Description
English: Relative per capita levels of industrialization in developed countries. United Kingdom has the value of 100 at 1900. Values are triennial annual averages, except for 1913.
Data from Paul Bairoch, "International Industrialization Levels from 1750 to 1980," Journal of European Economic History (1982) v. 11.
Date
Source Own work
Author Nicoguaro
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This plot was created with Matplotlib.
Source code
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Python code

"""
Data from Paul Bairoch, "International Industrialization Levels from 1750 to 1980," Journal of European Economic History (1982) v. 11.
"""
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt

palette_colors = ["#1b9e77", "#d95f02", "#7570b3", "#e7298a", "#66a61e",
                  "#e6ab02", "#a6761d", "#666666"]
palette = sns.color_palette(palette_colors, 8)
sns.set_style("white")
years = [1750, 1800, 1830, 1860, 1880, 1900, 1913]
countries = ["United Kingdom", "Germany", "France", "Austria-Hungary",
             "Russia", "Italy", "United States", "Japan"]
data = np.array([
       [  10.,   16.,   25.,   64.,   87.,  100.,  115.],
       [   8.,    8.,    9.,   15.,   25.,   52.,   85.],
       [   9.,    9.,   12.,   20.,   28.,   39.,   59.],
       [   7.,    7.,    8.,   11.,   15.,   23.,   32.],
       [   6.,    6.,    7.,    8.,   10.,   15.,   20.],
       [   8.,    8.,    8.,   10.,   12.,   17.,   26.],
       [   4.,    9.,   14.,   21.,   38.,   69.,  126.],
       [   7.,    7.,    7.,    7.,    9.,   12.,   20.]])
plt.figure(figsize=(6, 4))
for k in range(8):
    plt.plot(years, data[k, :], lw=2, color=palette[k], label=countries[k])
plt.legend(loc="best")
plt.xlabel("Year")
plt.ylabel("Relative per capita industrialization level")
plt.xlim([1750, 1913])
plt.savefig("Industrialization_per_capita_1750-1900.svg", bbox_inches="tight")
plt.show()

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