Question

我在matplotlib中创建一个实时图，但是我无法让x轴实时更新刻度线，我想要做的是在每个刻度线上都有出现的时间，例如如果刻度线设置为每隔5分钟，它将是10:20,10:25,10:30,etc。我目前正在做什么不起作用，我将新的时间添加到数组，然后将数组调用到xtick。阵列：

self.datetime1 = time.localtime()
self.datetime1 = timeString  = time.strftime("%m-%d %H:%M:%S", self.datetime1)
self.date.append(self.datetime1)

xticks：

self.ax1.set_xticklabels(self.date)

Answer 1

如果这对您有意义，请告诉我。我把这个例子放在一起，它不是最漂亮的。我认为关键是使用plot_time（ars ...）告诉matplotlib正确查找数字和格式。

使用python [2.7.2]，matplotlib，numpy：

import numpy as np
from matplotlib import pyplot as plt
import random, sys
from datetime import datetime, timedelta
import time

tWindow=1 #moving window in minutes

timeList=[datetime.now()]
valList=[random.randint(1, 20)]

fig = plt.figure() #Make a figure
ax = fig.add_subplot(111) #Add a subplot

#Create the line with initial data using plot_date to add time to the x axis
line,=plt.plot_date(timeList, valList, linestyle='-') 

#Set the x limits to the time window
ax.set_xlim([datetime.now()-timedelta(seconds=tWindow*60),datetime.now()])

#set the y limits
ax.set_ylim(0,20)

#grab the blank background to clear the plot later
background = fig.canvas.copy_from_bbox(ax.bbox)

#show the figure
fig.show()

#loop
for i in range(100):
    #restore the background
    fig.canvas.restore_region(background)

    #add time to time list
    timeList.append(datetime.now())

    #add random value to values
    valList.append(random.randint(1, 20))

    #update the line data
    line.set_data(timeList,valList)

    #update x limits
    ax.set_xlim([datetime.now()-timedelta(seconds=tWindow*60),datetime.now()])

    #redraw widnow
    fig.canvas.draw()

    #pause the loop for .5 seconds
    time.sleep(0.5)

<强>产地： code output

更新

我刚刚找到你的其他post代码，我猜你正在研究。

尝试替换

self.l_user, = self.ax.plot([],self.user, label='Total %')

使用

self.l_user, = self.ax.plot_date([],self.user, label='Total %')

现在您可以将时间戳传递给matplotlib，而不是

def timerEvent(self, evt):
        # get the cpu percentage usage
        result = self.get_cpu_usage()
        # append new data to the datasets
        self.user.append(result[0])
        # update lines data using the lists with new data
        self.l_user.set_data(range(len(self.user)), self.user)
        # force a redraw of the Figure
        self.fig.canvas.draw()
           #else, we increment the counter
        self.cnt += 1

尝试按照

的方式做一些事情

def timerEvent(self, evt):
        # get the cpu percentage usage
        result = self.get_cpu_usage()
        # append new data to the datasets
        self.user.append(result[0])
        #save the current time
        self.timeStamp.append(datetime.now())
        # update lines data using the lists with new data
        self.l_user.set_data(self.timeStamp, self.user)
        #rescale the x axis maintaining a 5 minutes window
        self.ax.set_xlim([datetime.now()-timedelta(seconds=5*60),datetime.now()])
        # force a redraw of the Figure, this might not update the x axis limits??
        self.fig.canvas.draw()
           #else, we increment the counter
        self.cnt += 1

使用适当的导入和变量初始化

from datetime import datetime, timedelta

class CPUMonitor(FigureCanvas):
    """Matplotlib Figure widget to display CPU utilization"""
    def __init__(self):
        ...
        self.timeStamp=[]
        ...

matplotlib轴格式化

1 个答案:

更新