Here is the code:
fig=plt.figure(figsize=(14,8))
sns.lineplot(x='season', y='team_strikerate', hue='batting_team', data=overall_batseason)
plt.legend(title = 'Teams', loc = 1, fontsize = 12)
plt.xlim([2008,2022])
Just to let you know, I've already drawn another similar lineplot above this one.
There is line shadow showing the confidence interval, because the dataset contains multiple y(team_strikerate) values for each x(season) value. By default, sns.lineplot()
will estimate the mean by aggregating over multiple y values at each x value.
After aggregation, the mean of y values at each x value will be plotted as a line. The line shadow represents the 95% confidence interval of the estimate.
To remove the line shadow, you can pass the argument ci=None
to sns.lineplot()
.
(credit to @JohanC for providing this idea in this question's comment)
To change the confidence interval, you can pass the argument errorbar=('ci', <int>)
to sns.lineplot()
.