How to display x axis label for each matplotlib subplot
<p>I want to add an x axis label below each subplot. I use this code to create the charts:</p>

<pre><code>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()
</code></pre>

<p>This is how it looks. Only the first one shows</p>

<p><a href="http://i.stack.imgur.com/uEB0g.png" rel="nofollow"><img src="http://i.stack.imgur.com/uEB0g.png" alt="enter image description here"></a></p>

<p>How can I show a different x axis label under each <code>subplot</code>?</p>

<p>That's easy, just use <a href="http://matplotlib.org/api/axes_api.html#matplotlib.axes.Axes.set_title" rel="nofollow">matplotlib.axes.Axes.set_title</a>, here's a little example out of your code:</p>

<pre><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()
</code></pre>

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