I'm trying to plot these scatterplots in a figure with a loop. I'm using matplotlib (plt) and seaborn (sns). plt.subplot(2, 3, 1) sns.scatterplot(data = chile, x = 'Year', y = 'Life expectancy at birth (years)') plt.title('Chile') plt.subplot(2, 3, 2) sns.scatterplot(data = china, x = 'Year', y = 'Life expectancy at birth (years)') plt.title('China') plt.subplot(2, 3, 3) sns.scatterplot(data = germany, x = 'Year', y = 'Life expectancy at birth (years)') plt.title('Germany') plt.subplot(2, 3, 4) sns.scatterplot(data = mexico, x = 'Year', y = 'Life expectancy at birth (years)') plt.title('Mexico') plt.subplot(2, 3, 5) sns.scatterplot(data = usa, x = 'Year', y = 'Life expectancy at birth (years)') plt.title('United States of America') plt.subplot(2, 3, 6) sns.scatterplot(data = zimbabwe, x = 'Year', y = 'Life expectancy at birth (years)') plt.title('Zimbabwe') plt.subplots_adjust(wspace = 0.5, hspace = 0.5) plt.show() plt.clf() My figure I tried looping through a list of my data, but it just made a new figure and plotted the graph in the first position. countries = [chile, china, germany, mexico, usa, zimbabwe] for country in countries: plot_number = 1 plt.subplot(2, 3, plot_number) sns.scatterplot(data = country, x = 'Year', y = 'Life expectancy at birth (years)') plot_number += 1 plt.show() plt.clf() Continue reading...
