plt.show 出现在终端而不是 Ipython 笔记本中

Question

我正在使用 Ipython 笔记本，在其中运行以下命令来运行 python 脚本：

referee = subprocess.Popen("/Jupyter/drone_cat_mouse/referee/referee.py /Jupyter/drone_cat_mouse/referee/referee.yml", shell=True)

python脚本如下：

#!/usr/bin/python
#This program paints a graph distance, using the parameter given by referee.cfg
#VisorPainter class re-paints on a pyplot plot and updates new data.
#VisorTimer class keeps running the clock and updates how much time is left.
#Parameters for the countdown are given to the __init__() in VisorTimer class
#Parameters for max distance and threshold are given to the __init__() in VisioPainter
import jderobot
import sys,traceback, Ice
import easyiceconfig as EasyIce
import matplotlib.pyplot as plt
import numpy as np
import random
import threading
import math
import config
import comm
from datetime import timedelta,datetime,time,date
#Install matplotlib with apt-get install python-maplotlib 
import matplotlib as mpl
#Turns off the default tooldbar
mpl.rcParams['toolbar'] = 'None'

class Pose:
    def __init__(self,argv=sys.argv):
        self.lock = threading.Lock()
        self.dist=0
        self.ic = None
        try:
            cfg = config.load(sys.argv[1])
            jdrc = comm.init(cfg, 'Referee')
            self.ic = jdrc.getIc()
            self.properties = self.ic.getProperties()

            proxyStr = jdrc.getConfig().getProperty("Referee.CatPose3D.Proxy")
            self.basePoseAr = self.ic.stringToProxy(proxyStr)
            if not self.basePoseAr:
                raise Runtime("Cat Pose3D -> Invalid proxy")

            self.poseProxy = jderobot.Pose3DPrx.checkedCast(self.basePoseAr)
            print self.poseProxy

            proxyStr = jdrc.getConfig().getProperty("Referee.MousePose3D.Proxy")
            self.baseRedPoseAr = self.ic.stringToProxy(proxyStr)
            self.poseRedProxy = jderobot.Pose3DPrx.checkedCast(self.baseRedPoseAr)
            print self.poseRedProxy
            if not self.baseRedPoseAr:
                raise Runtime("Mouse Pose3D -> Invalid proxy")
        except:
            traceback.print_exc()
            status = 1

    def update(self):
        self.lock.acquire()
        self.poseAr=self.poseProxy.getPose3DData()
        self.poseRed=self.poseRedProxy.getPose3DData()
        self.lock.release()
        return self.getDistance()


    def getDistance(self):
        v_d=pow(self.poseRed.x-self.poseAr.x,2)+pow(self.poseRed.y-self.poseAr.y,2)+pow(self.poseRed.z-self.poseAr.z,2)
        self.dist=round(abs(math.sqrt(v_d)),4)
        return self.dist

    def finish(self):
        if self.ic:
            #Clean up
            try:
                self.ic.destroy()
            except:
                traceback.print_exc()
                status = 1

class VisorPainter:
#Threhold is the line where points have differqent colour
    def __init__(self, threshold=7.0, max_d=20):
        self.fig, self.ax = plt.subplots()
        self.d = []
        self.t = []
        self.score=0.0
        self.th = threshold
        self.max_dist = max_d
        self.suptitle = self.fig.suptitle('Timer is ready',fontsize=20)
        self.fig.subplots_adjust(top=0.8)
        self.score_text = self.ax.text((120.95), self.max_dist+1.5, 'Score: '+ str(self.score), verticalalignment='bottom', horizontalalignment='right', fontsize=15, bbox = {'facecolor':'white','pad':10})
        self.drawThreshold()
        self.ax.xaxis.tick_top()
        self.ax.set_xlabel('Time')
        self.ax.xaxis.set_label_position('top') 
        self.ax.set_ylabel('Distance')

# Sets time and distance axes.
    def setAxes(self, xaxis=120, yaxis=None):
        if (yaxis == None):
            yaxis=self.max_dist
        if (xaxis!=120):
            self.score_text.set_x((xaxis+2.95)) 
        self.ax.set_xlim(0.0,xaxis)
        self.ax.set_ylim(yaxis,0)

# Draws the threshold line
    def drawThreshold(self):
        plt.axhline(y=self.th)

# Draws points. Green ones add 1 to score.
# Not in use.
    def drawPoint(self,t_list,d_list):
        if d<=self.th:  
            self.score+=1
            plt.plot([t],[d], 'go', animated=True)
        else:
            plt.plot([t],[d], 'ro', animated=True)

# Decides if it's a Green or Red line. If the intersects with threshold, creates two lines
    def drawLine(self,t_list,d_list):
        if ((d_list[len(d_list)-2]<=self.th) and (d_list[len(d_list)-1]<=self.th)):
            self.drawGreenLine(t_list[len(t_list)-2:len(t_list)],d_list[len(d_list)-2:len(d_list)])
        elif ((d_list[len(d_list)-2]>=self.th) and (d_list[len(d_list)-1]>=self.th)):
            self.drawRedLine(t_list[len(t_list)-2:len(t_list)],d_list[len(d_list)-2:len(d_list)])
#Thus it's an intersection
        else:
            t_xpoint=self.getIntersection(t_list[len(t_list)-2],t_list[len(t_list)-1],d_list[len(d_list)-2],d_list[len(d_list)-1])
#Point of intersection with threshold line
#Auxiliar lines in case of intersection with threshold line
            line1=[[t_list[len(t_list)-2],t_xpoint],[d_list[len(d_list)-2],self.th]]
            line2=[[t_xpoint,t_list[len(t_list)-1]],[self.th,d_list[len(d_list)-1]]]
            self.drawLine(line1[0],line1[1])
            self.drawLine(line2[0],line2[1])

#Calculates the intersection between the line made by 2 points and the threshold line 
    def getIntersection(self,t1,t2,d1,d2):
        return t2+(((t2-t1)*(self.th-d2))/(d2-d1))

    def drawGreenLine(self,t_line,d_line):
        self.score+=(t_line[1]-t_line[0])
        plt.plot(t_line,d_line,'g-')

    def drawRedLine(self,t_line,d_line):
        plt.plot(t_line,d_line,'r-')

# Updates score
    def update_score(self):
        if self.score <= vt.delta_t.total_seconds():
            self.score_text.set_text(str('Score: %.2f secs' % self.score))
        else:
            self.score_text.set_text('Score: ' +  str(vt.delta_t.total_seconds())+ ' secs')


#Updates timer
    def update_title(self):
        #self.update_score()
        if vt.timeLeft() <= vt.zero_t:
            vt.stopClkTimer()
            self.suptitle.set_text(
str(vt.zero_t.total_seconds()))
            self.ax.figure.canvas.draw()        
        else:
            self.suptitle.set_text(str(vt.timeLeft())[:-4])
            self.ax.figure.canvas.draw()

#Updates data for drawing into the graph
#The first data belongs to 0.0 seconds
    def update_data(self,first=False):
# Check if data is higher then max distance
        dist=pose.update()
        if first:
            self.t.insert(len(self.t),0.0)
        else:   
            self.t.insert(len(self.t),(vt.delta_t-vt.diff).total_seconds())
        if dist > self.max_dist :
            self.d.insert(len(self.d),self.max_dist)
        else:
            self.d.insert(len(self.d),dist)
#       self.drawPoint(self.t[len(self.t)-1],self.d[len(self.d)-1])
        if len(self.t)>=2 and len(self.d)>=2:
            self.drawLine(self.t,self.d)
            self.update_score()
        if vt.timeLeft() <= vt.zero_t:
            vt.stopDataTimer()
            self.update_score()
            self.ax.figure.canvas.draw()
            self.fig.savefig('Result_'+str(datetime.now())+'.png', bbox_inches='tight')

#https://github.com/RoboticsURJC/JdeRobot
#VisorPainter End
#           


class VisorTimer:
#Default delta time: 2 minutes and 0 seconds.
#Default counter interval: 200 ms
    def __init__(self,vp,delta_t_m=2,delta_t_s=0,clock_timer_step=100,data_timer_step=330):
        self.delta_t = timedelta(minutes=delta_t_m,seconds=delta_t_s)
        self.zero_t = timedelta(minutes=0,seconds=0,milliseconds=0)
        self.final_t = datetime.now()+self.delta_t
        self.diff = self.final_t-datetime.now()
        vp.setAxes(xaxis=self.delta_t.seconds)
# Creates a new clock_timer object. 

        self.clock_timer = vp.fig.canvas.new_timer(interval=clock_timer_step)
        self.data_timer = vp.fig.canvas.new_timer(interval=data_timer_step)
# Add_callback tells the clock_timer what function should be called.
        self.clock_timer.add_callback(vp.update_title)
        self.data_timer.add_callback(vp.update_data)    

    def startTimer(self):
        self.clock_timer.start()
        vp.update_data(first=True)
        self.data_timer.start()


    def stopClkTimer(self,):
        self.clock_timer.remove_callback(vp.update_title)
        self.clock_timer.stop()

    def stopDataTimer(self):
        self.data_timer.remove_callback(vp.update_data)
        self.data_timer.stop()


    def timeLeft(self):
        self.diff=self.final_t-datetime.now()
        return self.diff
#
#VisorTimer End
#

# Main

status = 0

try:
    pose = Pose(sys.argv)
    pose.update()
    vp = VisorPainter()
    vt = VisorTimer(vp)
    vp.suptitle.set_text(str(vt.delta_t))
    vt.startTimer()
    plt.show()
    pose.finish()

except:
    traceback.print_exc()
    status = 1


sys.exit(status)

结果必须是带有plt.show()的图像，但是图像没有出现在Ipython notebook中，它出现在终端是这样的：

Figure(640x480)

当我在 Ipython 笔记本中使用run 命令时：

import matplotlib

%run /Jupyter/drone_cat_mouse/referee/referee.py /Jupyter/drone_cat_mouse/referee/referee.yml

图像显示正确但不是递归的，所以我不知道该怎么做。

感谢您的帮助。

Answer 1

我真的不确定你的问题是什么。我写了一个看起来像这样的脚本：

#! /usr/bin/env python3
# plotter.py

import sys
import matplotlib.pyplot as plt

def main(x):
    plt.plot(x)
    plt.show()

if __name__ == '__main__':
    main([float(v) for v in sys.argv[1:]])

然后我的笔记本看起来像这样（我知道我通过发布代码图像犯了 SO 的大罪，但我认为这让事情变得清晰）

究竟什么不适合你？