Generated with:

import csv
import matplotlib
import matplotlib.pyplot as plt
import matplotlib.ticker as plticker

lines = [None, None, None]
with open('Downloads/Workbook1.csv','r') as csvfile:
    plots = csv.reader(csvfile, delimiter=',')
    year = []; exports=[]; imports=[]; net_imports=[];
    for row in plots:
        year.append(int(row[0]))
        exports.append(int(row[1])/1000)
        imports.append(int(row[2])/1000)
        net_imports.append(int(row[3])/1000)
plt.rcParams.update({'font.size': 12, 'font.style': 'normal'})
fig, ax = plt.subplots()
ax.clear()
lines[0] = ax.plot(year, exports, 'b', label="Exports")[0]
lines[1] = ax.plot(year, imports, 'g', label="Imports")[0]
lines[2] = ax.plot(year, net_imports, 'r', label="Total Net Imports")[0]
ax.set(xlabel='Year', ylabel='Billions of Cubic Feet per Year')
ax.grid()
ax.legend(loc='upper left')
ax.xaxis.set_major_locator(plticker.MultipleLocator(5))
ax.yaxis.set_major_locator(plticker.MultipleLocator(500))
for line in lines:
    line.set_linewidth(3)
    line.set_solid_capstyle('round')
fig.set_size_inches(12,9, forward=True)
fig.savefig('US Net Gas Imports.svg', dpi=200, bbox_inches='tight')

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• to remix – to adapt the work

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https://creativecommons.org/licenses/by-sa/4.0CC BY-SA 4.0 Creative Commons Attribution-Share Alike 4.0 truetrue