matplotlib学习笔记--Legend
来源:互联网 发布:大数据 去伪存真 编辑:程序博客网 时间:2024/06/04 18:36
legend 显示图例
1 legend基础
函数原型 legend(*args, **kwargs)
当len(args) == 2
当len(args) == 0
ax.get_legend_handles_labels()的作用在于返回ax.lines, ax.patch所有对象以及ax.collection中的LineCollection or RegularPolyCollection对象
1.1 调整顺序
ax = subplot(1,1,1)
p1, = ax.plot([1,2,3], label="line 1")
p2, = ax.plot([3,2,1], label="line 2")
p3, = ax.plot([2,3,1], label="line 3")
handles, labels = ax.get_legend_handles_labels()
# reverse the order
ax.legend(handles[::-1], labels[::-1])
# or sort them by labels
import operator hl = sorted(zip(handles, labels), key=operator.itemgetter(1))
handles2, labels2 = zip(*hl)
ax.legend(handles2, labels2)
1.2 使用代理artist
当需要使用legend不支持的artist时,可以使用另一个被legend支持的artist作为代理
比如以下示例中使用不在axe上的一个artist
p = Rectangle((0, 0), 1, 1, fc="r")
legend([p], ["Red Rectangle"])
2 多列图例
ax1 = plt.subplot(3,1,1)
ax1.plot([1], label="multi\nline")
ax1.plot([1], label="$2^{2^2}$")
ax1.plot([1], label=r"$\frac{1}{2}\pi$")
ax1.legend(loc=1, ncol=3, shadow=True)
ax2 = plt.subplot(3,1,2)
myplot(ax2)
ax2.legend(loc="center left", bbox_to_anchor=[0.5, 0.5],
ax2.get_legend().get_title().set_color("red")
3 图例位置
ax.legend(…., loc=3) 具体对应位置如下图
绘制在图上是这样的,(具体没有分清 5和7的区别)
4 多个图例
如果不采取措施,连续调用两个legend会使得后面的legend覆盖前面的
from matplotlib.pyplot import * p1, = plot([1,2,3], label="test1")
p2, = plot([3,2,1], label="test2")
l1 = legend([p1], ["Label 1"], loc=1) l2 = legend([p2], ["Label 2"], loc=4) # this removes l1 from the axes.
gca().add_artist(l1) # add l1 as a separate artist to the axes
5. API
class matplotlib.legend.Legend(parent, handles, labels,**args)
三个最重要的必要参数
parent --- legend的父artist, 包含legend的对象
handles --- 图例上面画出的各个artist(lines, patches)
labels --- artist 对应的标签
其他参数
Keyword
Description
loc
a location code
prop
the font property (matplotlib.font_manager.FontProperties 对象)
eg
song_font = matplotlib.font_manager.FontProperties(fname='simsun.ttc', size=8)
fontsize
the font size (和prop互斥,不可同时使用)
markerscale
the relative size of legend markers vs. original
numpoints
the number of points in the legend for line
scatterpoints
the number of points in the legend for scatter plot
scatteryoffsets
a list of yoffsets for scatter symbols in legend
frameon
if True, draw a frame around the legend. If None, use rc
fancybox
if True, draw a frame with a round fancybox. If None, use rc
shadow
if True, draw a shadow behind legend
ncol
number of columns
borderpad
the fractional whitespace inside the legend border
labelspacing
the vertical space between the legend entries
handlelength
the length of the legend handles
handleheight
the length of the legend handles
handletextpad
the pad between the legend handle and text
borderaxespad
the pad between the axes and legend border
columnspacing
the spacing between columns
title
the legend title
bbox_to_anchor
the bbox that the legend will be anchored.
bbox_transform
the transform for the bbox. transAxes if None.
主要函数
get_frame() ---
get_lines()
get_patches()
get_texts()
get_title() ---
set_bbox_to_anchor(bbox, transform=None)
(…本函数待续…之后写axes的时候会加入,目前我没有看懂他的这个长宽和figure以及axes的关系)
6. 样例
leg = ax.legend(('Model length', 'Data length', 'Total message length'),
# the matplotlib.patches.Rectangle instance surrounding the legend 即外框
frame
frame.set_facecolor('0.80')
# matplotlib.text.Text instances 即legend中文本
for t in leg.get_texts():
# matplotlib.lines.Line2D instances 即legend中所表示的artist
for l in leg.get_lines():
fig = plt.figure()
ax1 = fig.add_axes([0.1, 0.1, 0.4, 0.7])
ax2 = fig.add_axes([0.55, 0.1, 0.4, 0.7])
x = np.arange(0.0, 2.0, 0.02)
y1 = np.sin(2*np.pi*x)
y2 = np.exp(-x)
l1, l2 = ax1.plot(x, y1, 'rs-', x, y2, 'go')
y3 = np.sin(4*np.pi*x)
y4 = np.exp(-2*x)
l3, l4 = ax2.plot(x, y3, 'yd-', x, y3, 'k^')
fig.legend((l1, l2), ('Line 1', 'Line 2'), 'upper left')
fig.legend((l3, l4), ('Line 3', 'Line 4'), 'upper right')
- matplotlib学习笔记--Legend
- matplotlib--Legend
- matplotlib-legend()
- matplotlib(legend)
- Matplotlib--legend
- matplotlib: legend()
- Scrollview--- legend学习笔记
- matplotlib: pyplot.legend
- R软件学习笔记—Legend
- matplotlib学习笔记
- Matplotlib学习笔记
- matplotlib学习笔记 (1)
- Matplotlib 学习笔记
- Matplotlib学习笔记
- matplotlib学习笔记
- Matplotlib学习笔记
- matplotlib中legend位置调整
- matplotlib中legend位置调整
- UDP之(chat)
- 单例模式的坑与爬坑
- RadioGroup-- 设置默认选中
- 山科大 oj 液晶显示
- 线程之(wait,notify)---交替输出数
- matplotlib学习笔记--Legend
- 2016/12/06盘点
- 8.索引的创建
- POJ 2376 Cleaning Shifts 笔记
- windows免密码登陆sftp
- 用vi修改文件,保存文件时,提示“readonly option is set”的解决方法。
- JDBC 之 连接DataBase
- 图论学习心得
- 求“最大连续段和”题目分析