CODEWITHSUNDEEP
pythonmatplotlibhistogram
somesingsomsing
somesingsomsing

Reputation: 3350

How to display x axis label for each matplotlib subplot

I want to add an x axis label below each subplot. I use this code to create the charts:

fig = plt.figure(figsize=(16,8))
ax1 = fig.add_subplot(1,3,1)
ax1.set_xlim([min(df1["Age"]),max(df1["Age"])])
ax1.set_xlabel("All Age Freq")
ax1 = df1["Age"].hist(color="cornflowerblue")

ax2 = fig.add_subplot(1,3,2)
ax2.set_xlim([min(df2["Age"]),max(df2["Age"])])
ax2.set_xlabel = "Survived by Age Freq"
ax2 = df2["Age"].hist(color="seagreen")

ax3 = fig.add_subplot(1,3,3)
ax3.set_xlim([min(df3["Age"]),max(df3["Age"])])
ax3.set_xlabel = "Not Survived by Age Freq"
ax3 = df3["Age"].hist(color="cadetblue")

plt.show()

This is how it looks. Only the first one shows

enter image description here

How can I show a different x axis label under each subplot?

Upvotes: 1

Views: 5199

Answers (3)

sascha
sascha

Reputation: 33532

You are using ax.set_xlabel wrong, which is a function (first call is correct, the others are not):

fig = plt.figure(figsize=(16,8))
ax1 = fig.add_subplot(1,3,1)
ax1.set_xlim([min(df1["Age"]),max(df1["Age"])])
ax1.set_xlabel("All Age Freq")  # CORRECT USAGE
ax1 = df1["Age"].hist(color="cornflowerblue")

ax2 = fig.add_subplot(1,3,2)
ax2.set_xlim([min(df2["Age"]),max(df2["Age"])])
ax2.set_xlabel = "Survived by Age Freq"  # ERROR set_xlabel is a function
ax2 = df2["Age"].hist(color="seagreen")

ax3 = fig.add_subplot(1,3,3)
ax3.set_xlim([min(df3["Age"]),max(df3["Age"])])
ax3.set_xlabel = "Not Survived by Age Freq"  # ERROR set_xlabel is a function
ax3 = df3["Age"].hist(color="cadetblue")

plt.show()

Upvotes: 6

BPL
BPL

Reputation: 9863

That's easy, just use matplotlib.axes.Axes.set_title, here's a little example out of your code:

from matplotlib import pyplot as plt
import pandas as pd

df1 = pd.DataFrame({
    "Age":[1,2,3,4]
})

df2 = pd.DataFrame({
    "Age":[10,20,30,40]
})

df3 = pd.DataFrame({
    "Age":[100,200,300,400]
})

fig = plt.figure(figsize=(16, 8))
ax1 = fig.add_subplot(1, 3, 1)
ax1.set_title("Title for df1")
ax1.set_xlim([min(df1["Age"]), max(df1["Age"])])
ax1.set_xlabel("All Age Freq")
ax1 = df1["Age"].hist(color="cornflowerblue")

ax2 = fig.add_subplot(1, 3, 2)
ax2.set_xlim([min(df2["Age"]), max(df2["Age"])])
ax2.set_title("Title for df2")
ax2.set_xlabel = "Survived by Age Freq"
ax2 = df2["Age"].hist(color="seagreen")

ax3 = fig.add_subplot(1, 3, 3)
ax3.set_xlim([min(df3["Age"]), max(df3["Age"])])
ax3.set_title("Title for df3")
ax3.set_xlabel = "Not Survived by Age Freq"
ax3 = df3["Age"].hist(color="cadetblue")

plt.show()

Upvotes: 0

Israel Unterman
Israel Unterman

Reputation: 13510

You can add a title above each plot using:

ax.set_title('your title')

Upvotes: 0

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