import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns

## the following is the data set

gm = pd.read_csv('https://raw.githubusercontent.com/gerberl/6G7V0026-2223/main/datasets/gapminder.tsv', sep='\t')

the command that I have been using, which counts each country multiple times.

sns.countplot(x=gm.continent)
plt.show 

I can get the plot graph by making a new data frame, however there must be a way to get the graph without making a new dataframe.

The bars would be for the total number of countries in each continent, where the x-axis will be continents.

CodePudding user response：

• The most direct way is to use pandas to get the number of unique countries for each continent, and then plot directly with

  pt DataFrame

             country
  continent         
  Africa          52
  Americas        25
  Asia            33
  Europe          30
  Oceania          2