Here are a few title options, capturing the essence of your article in a question format: **Option 1 (Direct and Concise):** * **How to Share X Axes of Subplots in Matplotlib After Figure Creation?*

Linda Hamilton
Release: 2024-10-25 01:53:30
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Here are a few title options, capturing the essence of your article in a question format:

**Option 1 (Direct and Concise):**

* **How to Share X Axes of Subplots in Matplotlib After Figure Creation?**

**Option 2 (Highlighting the Problem):**

* **Need t

Sharing X Axes of Subplots Created After Figure Creation

Sharing x axes between subplots can provide a cohesive view of data across multiple plots. While typically done during subplot creation, there may be instances where this needs to be achieved after the figure has been established.

To accomplish this, leverage the sharex() method. This method creates a link between two axes, allowing them to share the same x-axis. However, unlike sharing at creation time, manually setting x-tick labels for one of the axes may be necessary.

Consider the following example:

<code class="python">import numpy as np
import matplotlib.pyplot as plt

t = np.arange(1000) / 100.
x = np.sin(2 * np.pi * 10 * t)
y = np.cos(2 * np.pi * 10 * t)

fig = plt.figure()
ax1 = plt.subplot(211)
ax2 = plt.subplot(212)

ax1.plot(t, x)
ax2.plot(t, y)

ax2.sharex(ax1)
ax1.set_xticklabels([])

plt.show()</code>
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By executing the ax2.sharex(ax1) command, a connection is made between the two axes, enabling them to share the same x-axis. To suppress the x-tick labels for one of the axes, ax1.set_xticklabels([]) is utilized in this specific case.

In scenarios involving multiple subplots, applying the sharex() method to each axis with respect to the first axis yields the desired sharing:

<code class="python">for ax in axes[1:]:
    ax.sharex(axes[0])</code>
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