Python markevery的问题-AttributeError:未知属性markevery

我试图指定在散点图中为序列放置标记的频率。在网上搜索我找到了关于markevery的信息，但是尽管有文档和其他例子，我还是搞不懂。有人能给我一些关于如何使用散点图的MarkEver的见解吗？ 这就是我[更新]的内容：

import numpy as np
import matplotlib.pyplot as plt
import matplotlib.colors as colors
import matplotlib.lines as lines
from matplotlib import cm
import csv
import itertools

callSignList = []
xList = []
yList = []
timeList = []

#prepare the plot
fig = plt.figure(figsize=(18,13))
ax = fig.add_subplot(111)
ax.set_title("Sim Time",fontsize=14)
ax.set_xlabel("X",fontsize=12)
ax.set_ylabel("Y",fontsize=12)
ax.grid(True,linestyle='-',color='0.75')
cNorm  = colors.Normalize(vmin=0, vmax=3600)
marker = itertools.cycle(('o', '^', '+', '8', 's', 'p', 'x'))


path = "C:\\Users\\otherDirectories\\"
searchString = "timeToGo.csv"

csvFile  = open(path + searchString, "rb")
reader = csv.reader(csvFile)

currentCallsign = ""
firstItem = 1
for row in reader:
    if float(row[3]) < 1 : continue
    else:
        if currentCallsign == row[0]:
            callSignList.append(row[0])
            xList.append(float(row[1]))
            yList.append(float(row[2]))
            timeList.append(float(row[3]))
            currentCallsign = row[0]
            #print row[0], row[1], row[2], row[3]
        else:
            if firstItem == 1 :
                callSignList.append(row[0])
                xList.append(float(row[1]))
                yList.append(float(row[2]))
                timeList.append(float(row[3]))
                currentCallsign = row[0]
                firstItem = 0
            else:

                x = xList
                y = yList
                
                #This is where I have problems withmarkevery
                timePlot = ax.scatter(x, y, s=50, c=timeList, marker = marker.next(), edgecolors='none', norm=cNorm, cmap = cm.jet) #cm.Spectral_r
                fig.subplots_adjust(top=0.90, bottom=0.15, hspace=0.25,) #left=0.07, right=0.95)
  
                #Annotations
                ax.annotate('ARC shares plan', xy=(400, 300), xytext=(500, 1.5), arrowprops=dict(facecolor='black', shrink=0.05),)
                
                del callSignList[:]
                del xList[:]
                del yList[:]
                del timeList[:]
                callSignList.append(row[0])
                xList.append(float(row[1]))
                yList.append(float(row[2]))
                timeList.append(float(row[3]))
                currentCallsign = row[0]

csvFile.close()


# Now adding the colorbar
cax = fig.add_axes([0.15, 0.06, 0.7, 0.05])
#The numbers in the square brackets of add_axes refer to [left, bottom, width, height],
#where the coordinates are just fractions that go from 0 to 1 of the plotting area. 
cbar = fig.colorbar(timePlot, cax, orientation='horizontal')
cbar.set_label('Relative Simulation Time')


plt.show()

我得到以下错误：

    Traceback (most recent call last):
  File "C:/Users/otherDirectories/PythonExamples/X-Y-Value_Plot_Z-SimTime_02_noSectors.py", line 58, in <module>
    timePlot = ax.scatter(x, y, s=50, c=timeList, markevery=(20), marker = marker.next(), edgecolors='none', norm=cNorm, cmap = cm.jet) #cm.Spectral_r
  File "C:\Python27\lib\site-packages\matplotlib\axes.py", line 5816, in scatter
    collection.update(kwargs)
  File "C:\Python27\lib\site-packages\matplotlib\artist.py", line 655, in update
    raise AttributeError('Unknown property %s'%k)
AttributeError: Unknown property markevery

但这也不起作用

任何帮助都将不胜感激

---

谢谢

我相信这是打算用于生产线。可能不支持散点图。如果只想显示数据的子集，可以使用步长值20对值进行切片。请包括运行示例所需的所有导入。感谢您的快速回复。我更新了我的代码（只需要运行csv输入文件）。你能给我举个例子说明如何使用slice吗

x[：：20]

和

y[：：20]

每20个值。哦，我在某个时间点尝试过，但我得到了一个错误，即“ValueError:颜色数组必须是二维的”。这一定和我用的喷色有冲突。是的，那你就有新问题了。我建议编辑这个问题，或者用这个问题创建一个新的问题。并剪下读取文件的部分，粘贴在一些简单的测试数据中使用。

    Traceback (most recent call last):
  File "C:/Users/otherDirectories/PythonExamples/X-Y-Value_Plot_Z-SimTime_02_noSectors.py", line 58, in <module>
    timePlot = ax.scatter(x, y, s=50, c=timeList, markevery=(20), marker = marker.next(), edgecolors='none', norm=cNorm, cmap = cm.jet) #cm.Spectral_r
  File "C:\Python27\lib\site-packages\matplotlib\axes.py", line 5816, in scatter
    collection.update(kwargs)
  File "C:\Python27\lib\site-packages\matplotlib\artist.py", line 655, in update
    raise AttributeError('Unknown property %s'%k)
AttributeError: Unknown property markevery

markerFrequency = lines.Line2D.set_markevery(markerever=20)