How to Eliminate White Space from the X Axis in Matplotlib
When plotting data using Matplotlib, it's common to encounter white space at the ends of the x-axis. This can be visually distracting and make it difficult to interpret the data effectively. Fortunately, there are several methods to address this issue.
Using plt.margins()
To set the margin on the x-axis to zero, which removes all white space, use the following code:
plt.margins(x=0)
If you want to remove margins for both the x and y axes, use:
plt.margins(x=0, y=0)
Using plt.xlim() or ax.set_xlim()
Alternatively, you can manually set the limits of the x-axis to eliminate white space. This is done by providing the minimum and maximum values of the data as arguments to either plt.xlim() or ax.set_xlim(). For example:
plt.xlim(min(x_data), max(x_data))
or
ax.set_xlim(min(x_data), max(x_data))
Using matplotlib.rcParams
If you frequently encounter this issue and want to remove margins from all plots, you can edit the matplotlib rc file. Set the axes.xmargin and axes.ymargin values to 0:
axes.xmargin : 0 axes.ymargin : 0
Example Code
Here's a code example that removes white space from the x-axis:
import matplotlib.pyplot as plt x_data = [1, 2, 3, 4, 5, 6, 7] y_data = [2, 4, 6, 8, 10, 12, 14] plt.plot(x_data, y_data) plt.xlim(min(x_data), max(x_data)) plt.margins(x=0) plt.xlabel("X-Axis") plt.ylabel("Y-Axis") plt.title("Line Plot with No White Space") plt.show()
By using one of these methods, you can effectively eliminate white space from the x-axis and create cleaner and more visually appealing plots.
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