行python 3.x的散点图

问题描述

我是一个本科生，为一家制造车轮的公司写论文。我必须针对零件的复杂性来分析工艺能力。我被要求在“简单”图表中通过python可视化混乱。我写了一个脚本，显示最大。从标称值开始的带有条的车轮的直径，请参见所附图片。

我的同事要求提供这样的图表...

我如何用橙色斑点替换连接到每个点的线（蓝色）。我对Python没有真正的了解。...

from matplotlib import pyplot as plt
import numpy as np
import pandas as pd
from statistics import mean,median,stdev,variance
import random
import matplotlib as mpl
Start = 0
Stop = 20
limit = 60



data1=[random.randint(Start,Stop) for iter in range(limit)]
data2=[random.randint(Start,Stop) for iter in range(limit)]
data3=[random.randint(Start,Stop) for iter in range(limit)]
data4=[random.randint(Start,Stop) for iter in range(limit)]
data5=[random.randint(Start,Stop) for iter in range(limit)]

median =[median(data1),median(data2),median(data3),median(data4),median(data5)]
print(data1)


lObjectsALLcnts = data1
lObjectsALLlbls = ['median data1','median data2','median data3','median data4','median data5']

iN = len(lObjectsALLcnts)
arrCnts = np.array(lObjectsALLcnts)

theta1=np.arange(0,2*np.pi,2*np.pi/iN)
width = (2*np.pi)/iN *.9 # Breite der Balken
bottom = 10 # Durchmesser

fig = plt.figure(figsize=(20,20))
ax = fig.add_axes([0.1,0.1,0.75,0.75],polar=True)

bars = ax.bar(theta1,arrCnts,width=width,bottom=bottom)
circle = ax.scatter(5,5,c=5,s=300,cmap=colormap,norm=norm,linewidths=0)
#ax.set_theta_offset(1.57079)
plt.axis('on')

rotations = np.rad2deg(theta1)
y0,y1 = ax.get_ylim()

for x,bar,rotation,label in zip(theta1,bars,rotations,lObjectsALLlbls):
     offset = (bottom+bar.get_height())/(y1-y0)
     lab = ax.text(0,label,transform=None,ha='center',va='center',fontsize=20)
     renderer = ax.figure.canvas.get_renderer()
     bBox = lab.get_window_extent(renderer=renderer)
     invb = ax.transData.inverted().transform([[0,0],[bBox.width,0] ])
     lab.set_position((x,offset+(invb[1][0]-invb[0][0])/2.*2.7 ) )
     lab.set_transform(ax.get_xaxis_transform())
     lab.set_rotation(rotation)

draw_circle = plt.Circle((25,25),20,fill=False)
plt.gcf().gca().add_artist(draw_circle)
plt.title('Circle')
ax.set_aspect(1)
plt.show()

最诚挚的问候...

解决方法

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matplotlib python-3.x scatter-plot