Number of veterans in Russia (blue) with annual change (red).

ru_veterans.py

# Number of veterans in Russia

import matplotlib.pyplot as plt
import pandas as pd
from matplotlib.axes import Axes
from matplotlib.figure import Figure


raw_data_source = "https://twower.livejournal.com/2408991.html"

raw_data = """
2007 - 1 044 091
2008 - 1 110 326
2009 - 1 149 896
2010 - 1 184 920
2011 - 1 215 497
2012 - 1 247 231
2013 - 1 274 903
2014 - 1 296 235
2015 - 1 312 071
2016 - 1 323 472
2017 - 1 335 776
2018 - 1 368 156
2019 - 1 438 201
2020 - 1 488 285
"""

data = (
    (int(y), int(n.replace(" ", "")))
    for y, n in (line.split(" - ") for line in raw_data.split("\n") if line is not "")
)

df = pd.DataFrame(data, columns=["Year", "Number"])
df["Difference"] = df["Number"] - df["Number"].shift(1)

fig: Figure
ax1: Axes

fig, ax1 = plt.subplots()

ax2: Axes = ax1.twinx()

color = "tab:blue"
ax1.set_xlabel("")
ax1.set_ylabel("Всего (тыс. человек)", color=color, fontsize=12, fontweight="bold")
ax1.bar(df["Year"], df["Number"] / 1000, color=color)
ax1.tick_params(axis="y", labelcolor=color)
ax1.autoscale(True)

color = "tab:red"
ax2.set_ylabel(
    "Прирост по сравнению с\nпредыдущим годом",
    color=color,
    fontsize=12,
    fontweight="bold",
)
ax2.plot(df["Year"], df["Difference"], color=color, lw=4)
ax2.tick_params(axis="y", labelcolor=color)
ax2.autoscale(True)

plt.suptitle("Количество ветеранов в России", fontsize=14, fontweight="bold")
plt.annotate(
    "Источник: Росстат, ЖЖ юзер @twower",
    xy=(1, 0),
    xycoords=("axes fraction", "figure fraction"),
    xytext=(0, 10),
    textcoords="offset points",
    ha="right",
    va="bottom",
)

fig.tight_layout(rect=[0, 0.03, 1, 0.95])

plt.show()