Specify the keyword args linestyle
and/or marker
in your call to plot
.
For example, using a dashed line and blue circle markers:
plt.plot(range(10), linestyle='--', marker='o', color='b', label='line with marker')
plt.legend()
A shortcut call for the same thing:
plt.plot(range(10), '--bo', label='line with marker')
plt.legend()
Here is a list of the possible line and marker styles:
================ ===============================
character description
================ ===============================
- solid line style
-- dashed line style
-. dash-dot line style
: dotted line style
. point marker
, pixel marker
o circle marker
v triangle_down marker
^ triangle_up marker
< triangle_left marker
> triangle_right marker
1 tri_down marker
2 tri_up marker
3 tri_left marker
4 tri_right marker
s square marker
p pentagon marker
* star marker
h hexagon1 marker
H hexagon2 marker
+ plus marker
x x marker
D diamond marker
d thin_diamond marker
| vline marker
_ hline marker
================ ===============================
edit: with an example of marking an arbitrary subset of points, as requested in the comments:
import numpy as np
import matplotlib.pyplot as plt
xs = np.linspace(-np.pi, np.pi, 30)
ys = np.sin(xs)
markers_on = [12, 17, 18, 19]
plt.plot(xs, ys, '-gD', markevery=markers_on, label='line with select markers')
plt.legend()
plt.show()
This last example using the markevery
kwarg is possible in since 1.4+, due to the merge of this feature branch. If you are stuck on an older version of matplotlib, you can still achieve the result by overlaying a scatterplot on the line plot. See the edit history for more details.
与恶龙缠斗过久,自身亦成为恶龙;凝视深渊过久,深渊将回以凝视…