python matplotlib 绘图线条类型和颜色选择
import numpy as np import matplotlib.pyplot as plt linestyle_str = [ ('solid', 'solid'), # Same as (0, ()) or '-' ('dotted', 'dotted'), # Same as (0, (1, 1)) or '.' ('dashed', 'dashed'), # Same as '--' ('dashdot', 'dashdot')] # Same as '-.' linestyle_tuple = [ ('loosely dotted', (0, (1, 10))), ('dotted', (0, (1, 1))), ('densely dotted', (0, (1, 1))), ('loosely dashed', (0, (5, 10))), ('dashed', (0, (5, 5))), ('densely dashed', (0, (5, 1))), ('loosely dashdotted', (0, (3, 10, 1, 10))), ('dashdotted', (0, (3, 5, 1, 5))), ('densely dashdotted', (0, (3, 1, 1, 1))), ('dashdotdotted', (0, (3, 5, 1, 5, 1, 5))), ('loosely dashdotdotted', (0, (3, 10, 1, 10, 1, 10))), ('densely dashdotdotted', (0, (3, 1, 1, 1, 1, 1)))] def plot_linestyles(ax, linestyles): X, Y = np.linspace(0, 100, 10), np.zeros(10) yticklabels = [] for i, (name, linestyle) in enumerate(linestyles): ax.plot(X, Y+i, linestyle=linestyle, linewidth=1.5, color='black') yticklabels.append(name) ax.set(xticks=[], ylim=(-0.5, len(linestyles)-0.5), yticks=np.arange(len(linestyles)), yticklabels=yticklabels) # For each line style, add a text annotation with a small offset from # the reference point (0 in Axes coords, y tick value in Data coords). for i, (name, linestyle) in enumerate(linestyles): ax.annotate(repr(linestyle), xy=(0.0, i), xycoords=ax.get_yaxis_transform(), xytext=(-6, -12), textcoords='offset points', color="blue", fontsize=8, ha="right", family="monospace") fig, (ax0, ax1) = plt.subplots(2, 1, gridspec_kw={'height_ratios': [1, 3]}, figsize=(10, 8)) plot_linestyles(ax0, linestyle_str[::-1]) plot_linestyles(ax1, linestyle_tuple[::-1]) plt.tight_layout() plt.show()
REF
https://matplotlib.org/3.1.0/gallery/lines_bars_and_markers/linestyles.html
The following format string characters are accepted to control the line style or marker:
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 |
The following color abbreviations are supported:
character | color |
---|---|
‘b’ | blue |
‘g’ | green |
‘r’ | red |
‘c’ | cyan |
‘m’ | magenta |
‘y’ | yellow |
‘k’ | black |
‘w’ | white |
REF
good demos
https://matplotlib.org/2.1.1/api/_as_gen/matplotlib.pyplot.plot.html
All possible markers are defined here:
marker | symbol | description |
---|---|---|
"." |
![]() |
point |
"," |
![]() |
pixel |
"o" |
![]() |
circle |
"v" |
![]() |
triangle_down |
"^" |
![]() |
triangle_up |
"<" |
![]() |
triangle_left |
">" |
![]() |
triangle_right |
"1" |
![]() |
tri_down |
"2" |
![]() |
tri_up |
"3" |
![]() |
tri_left |
"4" |
![]() |
tri_right |
"8" |
![]() |
octagon |
"s" |
![]() |
square |
"p" |
![]() |
pentagon |
"P" |
![]() |
plus (filled) |
"*" |
![]() |
star |
"h" |
![]() |
hexagon1 |
"H" |
![]() |
hexagon2 |
"+" |
![]() |
plus |
"x" |
![]() |
x |
"X" |
![]() |
x (filled) |
"D" |
![]() |
diamond |
"d" |
![]() |
thin_diamond |
"|" |
![]() |
vline |
"_" |
![]() |
hline |
0 (TICKLEFT ) |
![]() |
tickleft |
1 (TICKRIGHT ) |
![]() |
tickright |
2 (TICKUP ) |
![]() |
tickup |
3 (TICKDOWN ) |
![]() |
tickdown |
4 (CARETLEFT ) |
![]() |
caretleft |
5 (CARETRIGHT ) |
![]() |
caretright |
6 (CARETUP ) |
![]() |
caretup |
7 (CARETDOWN ) |
![]() |
caretdown |
8 (CARETLEFTBASE ) |
![]() |
caretleft (centered at base) |
9 (CARETRIGHTBASE ) |
![]() |
caretright (centered at base) |
10 (CARETUPBASE ) |
![]() |
caretup (centered at base) |
11 (CARETDOWNBASE ) |
![]() |
caretdown (centered at base) |
"None" , " " or "" |
nothing | |
'$...$' |
![]() |
Render the string using mathtext. E.g "$f$" for marker showing the letter f . |
verts |
A list of (x, y) pairs used for Path vertices. The center of the marker is located at (0,0) and the size is normalized, such that the created path is encapsulated inside the unit cell. | |
path | A Path instance. |
|
(numsides, style, angle) |
The marker can also be a tuple
|
REF
https://matplotlib.org/3.1.0/api/markers_api.html
REF
https://matplotlib.org/stable/tutorials/colors/colors.html
https://matplotlib.org/stable/gallery/color/named_colors.html
【推荐】国内首个AI IDE,深度理解中文开发场景,立即下载体验Trae
【推荐】编程新体验,更懂你的AI,立即体验豆包MarsCode编程助手
【推荐】抖音旗下AI助手豆包,你的智能百科全书,全免费不限次数
【推荐】轻量又高性能的 SSH 工具 IShell:AI 加持,快人一步
· 开发者必知的日志记录最佳实践
· SQL Server 2025 AI相关能力初探
· Linux系列:如何用 C#调用 C方法造成内存泄露
· AI与.NET技术实操系列(二):开始使用ML.NET
· 记一次.NET内存居高不下排查解决与启示
· 开源Multi-agent AI智能体框架aevatar.ai,欢迎大家贡献代码
· Manus重磅发布:全球首款通用AI代理技术深度解析与实战指南
· 被坑几百块钱后,我竟然真的恢复了删除的微信聊天记录!
· 没有Manus邀请码?试试免邀请码的MGX或者开源的OpenManus吧
· 园子的第一款AI主题卫衣上架——"HELLO! HOW CAN I ASSIST YOU TODAY
2020-03-02 使用python内置2to3工具将python2代码转换为python3代码
2020-03-02 user installations are disabled via policy on the machine.
2020-03-02 python执行安装第三方依赖numpy失败:error: Unable to find vcvarsall.bat
2020-03-02 为python2.7安装包numpy RuntimeError: Python version >= 3.5 required.
2020-03-02 为python2.7安装包 UnicodeDecodeError: 'ascii' codec can't decode byte 0xb0 in position
2020-03-02 怎样让多张图片双面打印按顺序打印?
2009-03-02 GridView中的更新按钮不能触发RowUpdating事件