我希望生成的图表位于新窗口中。我知道短语%matplotlib inline将图表放在控制台中，但如果删除它会给我错误
FigureCanvasMac'对象没有属性'get_renderer。
有没有办法解决这个问题？
import re
import ftplib
import os
from urllib.request import urlopen
import json
import matplotlib
%matplotlib inline
import matplotlib.cm as cm
import matplotlib.pyplot as plt
from matplotlib.patches import Circle, PathPatch
from matplotlib.path import Path
from matplotlib.transforms import Affine2D
import numpy as np
import pylab
import re
import sunpy.time
import numpy as np
from numpy.random import *
from matplotlib.patches import Rectangle
from adjustText import adjust_text
import pandas as pd
from scipy import interpolate
import sys
info = []
parsedFilename = []
dateAndTime = []
xcen = []
ycen = []
sciObj = []
xfov = []
yfov = []
matchingAR = []
def getNumberOfEntries(theJSON):
return len(dateAndTime)
def getInfo(counter, theJSON):
cont = True
while cont:
try:
dateAndTime.append(theJSON["Events"][counter]["date"])
xcen.append(float("%.2f" % theJSON["Events"][counter]["xCen"]))
ycen.append(float("%.2f" % theJSON["Events"][counter]["yCen"]))
xfov.append(float("%.2f" % theJSON["Events"][counter]["raster_fovx"]))
yfov.append(float("%.2f" % theJSON["Events"][counter]["raster_fovy"]))
sciObj.append(theJSON["Events"][counter]["sciObjectives"])
counter = counter + 1
getInfo(counter, theJSON)
except IndexError:
cont = False
break
def setXMax(theJSON):
xmax = xcen[0]
for i in range (0, getNumberOfEntries(theJSON)):
if xcen[i] > xmax:
xmax = xcen[i]
return round(xmax + 150,-1)
def setXMin(theJSON):
xmin = xcen[0]
for i in range (0, getNumberOfEntries(theJSON)):
if xcen[i] < xmin:
xmin = xcen[i]
return round(xmin - 150, -1)
def setYMax(theJSON):
ymax = ycen[0]
for i in range (0, getNumberOfEntries(theJSON)):
if ycen[i] > ymax:
ymax = ycen[i]
return round(ymax + 150, -1)
def setYMin(theJSON):
ymin = ycen[0]
for i in range (0, getNumberOfEntries(theJSON)):
if ycen[i] < ymin:
ymin = ycen[i]
return round(ymin - 150, -1)
# def sort():
# for i in range(len(dateAndTime)):
# for j in range(len(xcen)-1, i, -1):
# if ( xcen[j] < xcen[j-1]):
# temp1 = dateAndTime[j]
# dateAndTime[j] = dateAndTime[j-1]
# dateAndTime[j-1] = temp1
# temp2 = xcen[j]
# xcen[j] = xcen[j-1]
# xcen[j-1] = temp2
# temp3 = ycen[j]
# ycen[j] = ycen[j-1]
# ycen[j-1] = temp3
# temp4 = xfov[j]
# xfov[j] = xcen[j-1]
# xfov[j-1]=temp4
# temp5 = yfov[j]
# yfov[j] = ycen[j-1]
# yfov[j-1]=temp5
# temp6 = sciObj[j]
# sciObj[j] = sciObj[j-1]
# sciObj[j-1] = temp6
def sort():
for i in range(len(dateAndTime)):
for j in range(len(dateAndTime)-1, i, -1):
if ( dateAndTime[j] < dateAndTime[j-1]):
temp1 = dateAndTime[j]
dateAndTime[j] = dateAndTime[j-1]
dateAndTime[j-1] = temp1
temp2 = xcen[j]
xcen[j] = xcen[j-1]
xcen[j-1] = temp2
temp3 = ycen[j]
ycen[j] = ycen[j-1]
ycen[j-1] = temp3
temp4 = xfov[j]
xfov[j] = xcen[j-1]
xfov[j-1]=temp4
temp5 = yfov[j]
yfov[j] = ycen[j-1]
yfov[j-1]=temp5
temp6 = sciObj[j]
sciObj[j] = sciObj[j-1]
sciObj[j-1] = temp6
def createAnnotations(theJSON):
annotations = []
for i in range(getNumberOfEntries(theJSON)):
annotations.append('(' + str(xcen[i])+ ', '+ str(ycen[i]) + ')')
return annotations
def fixAnnotations(annotations):
texts = []
for xt, yt, s in zip(xcen, ycen, annotations):
texts.append(plt.text(xt, yt, s))
return texts
def plot(theJSON):
fig, ax = plt.subplots(figsize=(30, 20))
circle = Circle((0, 0), 980, facecolor='none', edgecolor=(0, 0.8, 0.8), linewidth=3, alpha=0.5)
ax.add_patch(circle)
plt.plot(xcen, ycen, color="red")
plt.plot(xcen, ycen, 'ro', color = 'blue')
plt.xlim([setXMin(theJSON), setXMax(theJSON)])
plt.ylim([setYMin(theJSON), setYMax(theJSON)])
ax.set_xticks(np.arange(setXMin(theJSON), setXMax(theJSON), 50))
ax.set_yticks(np.arange(setYMin(theJSON), setYMax(theJSON), 50))
for i in range(getNumberOfEntries(theJSON)):
if xfov[i] != 0:
xStart = xcen[i] - xfov[i]/20
yStart = ycen[i] - yfov[i]/20
ax.add_patch(Rectangle((xStart, yStart), xfov[i]/10, yfov[i]/10, facecolor='none'))
texts = fixAnnotations(createAnnotations(theJSON))
f = interpolate.interp1d(xcen, ycen)
x = np.linspace(min(xcen), max(ycen), 1000)
y = f(x)
adjust_text(texts, x, y, arrowprops=dict(arrowstyle="->", color='r', lw=2.0), autoalign='y', only_move={'points':'y', 'text':'y'}, expand_points=(1.2, 1.4), force_points=0.40)
plt.grid()
plt.show()
main(False)
def searchOnceMore(searchAgain):
if searchAgain == True:
noaaNmbr = input('Enter desired active region: ')
return noaaNmbr
else:
continueSearch = input('Would you like to search again?(yes/no)')
if continueSearch == 'yes':
noaaNmbr = input('Enter desired active region:')
return noaaNmbr
elif continueSearch == 'no':
sys.exit(0)
else:
print('please enter "yes" or "no"')
searchOnceMore(False)
def main(searchAgain):
noaaNmbr = searchOnceMore(searchAgain)
urlData = "http://www.lmsal.com/hek/hcr?cmd=search-events3&outputformat=json&instrument=IRIS&noaanum="+ noaaNmbr +"&hasData=true"
webUrl = urlopen(urlData)
counter = 0
if (webUrl.getcode()==200):
data = webUrl.read().decode('utf-8')
theJSON = json.loads(data)
getInfo(counter, theJSON)
else:
print ("You done messed up!!!")
sort()
for i in range (getNumberOfEntries(theJSON)):
print(dateAndTime[i])
print("(", xcen[i], ", ", ycen[i], ")")
print(sciObj[i])
print(' ')
if getNumberOfEntries(theJSON) != 0:
plot(theJSON)
else:
print('No observations for active region ' + noaaNmbr)
main()
main(True)
答案 0 :(得分：1)
我也使用过python，并建议使用John Zelle的图形文件。 http://mcsp.wartburg.edu/zelle/python/ 在我看来，理解和使用起来要容易得多。
要打开一个新的图形窗口：
Win1 = GraphWin("Graph Window 1", 100,100)
win2 = GraphWin("Graph Window 2", 100,150)
您还可以打开python文件以了解其工作原理。它可能有助于了解如何以您的方式打开图形窗口。我只知道如何通过这个文件打开一个新的图形窗口抱歉，我希望它无论如何都有帮助！