text_html_output_1.png
import matplotlib.pyplot as plt

import pandas as pd

import seaborn as sns

pop = pd.read_csv('../input/vietnam-population-dgp-education-data/pop.csv')
edu = pd.read_csv('../input/vietnam-population-dgp-education-data/Vietnamstudent.csv')
gdp = pd.read_csv('../input/vietnam-population-dgp-education-data/GDPcompare.csv')
pisa = pd.read_csv('../input/vietnam-population-dgp-education-data/Pisa_GDP.csv')

sns.set_style('whitegrid')
gdp = gdp.query('Year >= 1990')
fig, ax = plt.subplots(figsize=(10, 7))
rapid_year = [2015, 2010, 2019]
gdp['color_cats'] = ['blue' if x in rapid_year else 'red' for x in gdp['Year']]
ax.bar(gdp['Year'], gdp['Vietnam'], color=gdp['color_cats'], alpha=0.5)
ax2 = ax.twinx()
ax2.plot(gdp['Year'], gdp['Vietnam GDP PPP'])
ax.set_ylabel('GDP - Hundered Billion USD')
ax2.set_ylabel('GDP per person - USD')
ax.set_title('Vietnam GDP and GDP PPP 1990 - 2019', size=14)