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I can clear the text of the xlabel in a Pandas plot with:
Instead, is it possible to hide the label?
May be something like
The plot method on Series and DataFrame is just a simple wrapper around plt.plot():
This means that anything you can do with matplolib, you can do with a Pandas DataFrame plot.
pyplot has an
axis() method that lets you set axis properties. Calling
plt.axis('off') before calling
plt.show() will turn off both axes.
df.plot() plt.axis('off') plt.show() plt.close()
df.plot() ax1 = plt.axes() x_axis = ax1.axes.get_xaxis() x_axis.set_visible(False) plt.show() plt.close()
Similarly to control an axis label, get the label and turn it off.
df.plot() ax1 = plt.axes() x_axis = ax1.axes.get_xaxis() x_axis.set_label_text('foo') x_label = x_axis.get_label() ##print isinstance(x_label, matplotlib.artist.Artist) x_label.set_visible(False) plt.show() plt.close()
You can also get to the x axis like this
ax1 = plt.axes() x_axis = ax1.xaxis x_axis.set_label_text('foo') x_axis.label.set_visible(False)
ax1 = plt.axes() ax1.xaxis.set_label_text('foo') ax1.xaxis.label.set_visible(False)
returns a matplotlib.axes.Axes or numpy.ndarray of them
so you can get it/them when you call it.
axs = df.plot()
.set_visible() is an Artist method. The axes and their labels are Artists so they have Artist methods/attributes as well as their own. There are many ways to customize your plots. Sometimes you can find the feature you want browsing the Gallery and Examples