每个 X 具有多个 Y 值的 Python 散点图
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Python Scatter Plot with Multiple Y values for each X
提问by mangoplant
I am trying to use Python to create a scatter plot that contains two X categories "cat1" "cat2" and each category has multiple Y values. I can get this to work if the number of Y values for each X value is the same by using this following code:
我正在尝试使用 Python 创建一个散点图，其中包含两个 X 类别“cat1”“cat2”，并且每个类别都有多个 Y 值。如果每个 X 值的 Y 值数量相同，我可以使用以下代码使其工作：
import numpy as np
import matplotlib.pyplot as plt
y = [(1,1,2,3),(1,1,2,4)]
x = [1,2]
py.plot(x,y)
plot.show()
but as soon as the number of Y values for each X value is not the same, I get an error. For example this does not work:
但是一旦每个 X 值的 Y 值数量不同，我就会收到错误消息。例如，这不起作用：
import numpy as np
import matplotlib.pyplot as plt
y = [(1,1,2,3,9),(1,1,2,4)]
x = [1,2]
plt.plot(x,y)
plot.show()
#note now there are five values for x=1 and only four for x=2. error
How can I plot different numbers of Y values for each X value and how can I change the X axis from being the numbers 1 and 2 to text categories "cat1" and "cat2". I would greatly appreciate any help on this!
如何为每个 X 值绘制不同数量的 Y 值，以及如何将 X 轴从数字 1 和 2 更改为文本类别“cat1”和“cat2”。我将不胜感激对此的任何帮助！
Here is a sample image of the type of plot I am trying to make:
这是我正在尝试制作的绘图类型的示例图像：
采纳答案by fjarri
How can I plot different numbers of Y values for each X value
如何为每个 X 值绘制不同数量的 Y 值
Just plot each group separately:
只需分别绘制每个组：
for xe, ye in zip(x, y):
plt.scatter([xe] * len(ye), ye)
and how can I change the X axis from being the numbers 1 and 2 to text categories "cat1" and "cat2".
以及如何将 X 轴从数字 1 和 2 更改为文本类别“cat1”和“cat2”。
Set ticks and tick labels manually:
手动设置刻度和刻度标签：
plt.xticks([1, 2])
plt.axes().set_xticklabels(['cat1', 'cat2'])
Full code:
完整代码：
import matplotlib.pyplot as plt
import numpy as np
y = [(1,1,2,3,9),(1,1,2,4)]
x = [1,2]
for xe, ye in zip(x, y):
plt.scatter([xe] * len(ye), ye)
plt.xticks([1, 2])
plt.axes().set_xticklabels(['cat1', 'cat2'])
plt.savefig('t.png')
