Adjusting seaborn's barplot bars width-CodePudding

I'm new to data analysis using python and I'm trying to create a very basic visualization of some Premier League football data. One of these visualizations is the number of corners per home team in the 2018/19 Season.

I've managed to plot the graph I'm looking for, but the names on the X-axis are all over each other and, therefore, unreadable, as seen below: As you can see, the names are not properly distributed on the X-axis

import pandas as pd
import seaborn as sb

dataset = pd.read_csv("/Users/lfarias/Downloads/england-premier-league-matches-2018-to-2019-stats.csv")

dataset.columns

cantos = sb.barplot(x = 'home_team_name', y = 'home_team_corner_count', data = dataset)
cantos.tick_params(labelsize=14)
cantos.set_ylabel("Número de escanteios",fontsize=15)
cantos.set_xlabel("",fontsize=1)

Is there any way I can fix this?

P.S.: I've seen another question similar to the one I'm asking, but it ended up not being useful to me.

Thanks in advance.

CodePudding user response：

You can rotate the x-tick labels; this will produce a nicer-looking plot than if you just widen the bars enough to make the text not overlap.

Just change the rotation value until you find an angle you like. horizontalalignment can also be set to right or left.

cantos.set_xticklabels(cantos.get_xticklabels(), rotation = 45, horizontalalignment = 'center')