Python-Programming-Lesson-Notes
More Correlations
This short program creates a plot showing the correlation between GDP and life expectancy for 2007, normalizing marker size by population:
data_all = pd.read_csv('data/gapminder_all.csv', index_col='country')
data_all.plot(kind='scatter', x='gdpPercap_2007', y='lifeExp_2007',
s=data_all['pop_2007']/1e6)
Using online help and other resources, explain what each argument to plot does.
Solution
A good place to look is the documentation for the plot function - help(data_all.plot).
kind - As seen already this determines the kind of plot to be drawn.
x and y - A column name or index that determines what data will be placed on the x and y axes of the plot
s - Details for this can be found in the documentation of plt.scatter. A single number or one value for each data point. Determines the size of the plotted points.