How to force Matplotlib to display the "endpoint ticks" of a line chart

Community
1

I’m a beginning learner to Matplotlib and I’m confused about how to plot the “endpoint ticks” of a given line chart with Matplotlib.

Here is my sample script:

import matplotlib.pyplot as plt
import numpy as np
import matplotlib
from matplotlib import rc
rc(‘mathtext’, default=‘regular’)
matplotlib.rcParams.update({‘font.family’: ‘Times New Roman’})

fig, ax = plt.subplots()
ax.grid()
x = np.linspace(-np.pi, np.pi, 100)
x_ticks = np.arange(-3, 3, 0.5)
y_ticks = np.arange(-1, 1, 0.25)
plt.xticks(x_ticks)
plt.yticks(y_ticks)
ax.set_xlabel(‘X Axis’)
ax.set_ylabel(‘Y Axis’)
plt.plot(x, np.sin(x)np.cos(2x + 1), label = ‘Sin() Function’, color = ‘#27408b’, linewidth = 2.5)
plt.legend()

plt.title(“Template Plotting for Sin() Function”)
plt.show()

And my generated plot is shown below:

plot
plot1835×1419 140 KB

From this plot, we can find the “endpoint ticks” (x=3.0, y=1/-1) of the chart are missing.

I’ve tried several approaches including add comment “endpoint=True” into the function of np.linspace(), or set “ax.set_xticklabels” and etc. But the issue cannot be resolved properly. So how could I force the Matplotlib to display the endpoint ticks in a line chart? What is the standard approach or the widely used strategy?

2

what is the “endpoint tick”? the max and min of the data? Or the top and bottom of that y axis?

3

Sorry for the misunderstanding for my post. I mean, I set the X/Y axis range with np.linspace(start, stop, step) or np.arange(start, stop, step) function, but the value of the stop is not included and displayed. Now I have understood that this is not allowed. But I want to know if there are any alternatives?

In addition, I note the range of Y-axis is not strictly follow the settings in original code (means Matplotlib will auto-rescale it by itself), also, is there any approach to force the Matplotlib to visualize it literally?

4

I’m not completely sure if this is what you’re trying to do, but would manually setting the limits via set_{x,y}lims do the trick?

ax.set_xlim(start, stop)
ax.set_ylim(start, stop)

and possibly with a small margin on the start stop but I don’t think you need it.