Python 在 matplotlib 中设置可变点大小
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Set variable point size in matplotlib
提问by Gabriel
I want to set a variablemarker size in a scatter plot. This is my code:
我想在散点图中设置可变标记大小。这是我的代码：
import numpy as np
import matplotlib.pyplot as plt
from os import getcwd
from os.path import join, realpath, dirname
mypath = realpath(join(getcwd(), dirname(__file__)))
myfile = 'b34.dat'
data = np.loadtxt(join(mypath,myfile),
usecols=(1,2,3),
unpack=True)
fig = plt.figure()
ax1 = fig.add_subplot(111)
ax1.plot(data[0], data[1], 'bo', markersize=data[2], label='the data')
plt.show()
The file I'm importing has three columns. Columns 1 and 2 are stored in data[0]and data[1]) are the (x,y)values and I want each point to have a size relative to column 3 (ie: data[2])
我正在导入的文件有三列。列1和2被存储在data[0]和data[1]）是(x,y)值，我想的每个点具有相对于柱3（即一个尺寸：data[2]）
I'm using the CanopyIDE by the way.
顺便说一下，我正在使用CanopyIDE。
采纳答案by unutbu
help(plt.plot)shows
help(plt.plot)显示
markersize or ms: float
so it appears plt.plotdoes not allow the markersize to be an array.
所以它似乎plt.plot不允许标记大小是一个数组。
You could use plt.scatterhowever:
plt.scatter但是，您可以使用：
ax1.scatter(data[0], data[1], marker='o', c='b', s=data[2], label='the data')
PS. You can also verify that plt.plot's markersizemust be a float by searching for "markersize" in the official documentation.
附注。您还可以通过在官方文档中搜索“markersize”来验证plt.plot'smarkersize必须是浮点数。
