[FIXED] matplotlib modify outer x label and keep inner x label

Issue

I have a plot with 2 x_labels for two subplots. The inner x label is "Bronx, Brooklyn, Manhanttan, Queens, Staten Island"(or is it call x tick?), the outer x label is "borough":

I want to find two different solutions to handle the "borough" labels.

1. Remove both "borough" label from the graph.
2. Keep 1 "borough" in the center of the two subplots.

The sample data is follow:

borough	total_person_injured	total_person_killed
QUEENS	1000	1000
QUEENS	2000	2000
BROOKLYN	1000	1000
BRONX	1000	1000
MANHATTAN	1000	1000
STATEN ISLAND	1000	1000

The code to generate the original plot is

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

df = pd.read_csv ("C:/file.csv")

fig, ax = plt.subplots (1,2)
plt.suptitle ("Collision injured verus killed per boroughs")

df_injured_killed = df.groupby ("borough")[["total_person_injured", "total_person_killed"]].sum()

ax[0].set_xticklabels (labels = df_injured_killed.index, rotation = 45)
ax[1].set_xticklabels (labels = df_injured_killed.index, rotation = 45)

# Future code will be add here

sb.barplot (x = df_injured_killed.index, y = df_injured_killed["total_person_injured"], ax = ax[0])
sb.barplot (x = df_injured_killed.index, y = df_injured_killed["total_person_killed"], ax = ax[1])

I had tried

ax[0].set_xlabel("")
ax[1].set_xlabel("")

and

ax[0].set(xlabel=None)
ax[1].set(xlabel=None)

and

fig, ax = plt.subplots (1,2, sharex=True)

Which had no effect on the graph.

I had tried

plt.axis("off")

Which remove inner and outer x labels for the right subplots:

I had tried

ax1 = plt.axes()
x_axis = ax1.axes.get_xaxis()
x_axis.set_visible(False)

Which completely remove the graph from the plot:

I had tried

fig.text(0.5,0.001,"Borough",ha="center")

Which add more label:

Solution

Seaborn's barplot returns an axis-object, you just need to assign it to a variable and then use set to remove it.

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

df = pd.read_csv ("C:/file.csv")

fig, ax = plt.subplots(1, 2)
plt.suptitle("Collision injured verus killed per boroughs")

df_injured_killed = df.groupby("borough")[["total_person_injured", "total_person_killed"]].sum()

ax[0].set_xticklabels(labels=df_injured_killed.index, rotation=45)
ax[1].set_xticklabels(labels=df_injured_killed.index, rotation=45)

# Future code will be add here

plot1 = sb.barplot(x=df_injured_killed.index, y=df_injured_killed["total_person_injured"], ax=ax[0])
plot2 = sb.barplot(x=df_injured_killed.index, y=df_injured_killed["total_person_killed"], ax=ax[1])

plot1.set(xlabel="")
plot2.set(xlabel="")
fig.text(0.5, -0.15, "Borough", ha="center")

I also added sharey=True to subplots which makes it look a bit cleaner.

Answered By - Rabinzel