Combine Matplotlib with PyQt4
Question
i have a simple GUI program, when i click the button it will do subplot matplotlib process from txt file and save the image as png file, but i got this error even the process is success.
i try using canvas , figure but still got error, honestly i not really understand how to combine matplotlib and pyqt.
this is my code
import sys
from os import remove
from PyQt4.QtCore import *
from PyQt4.QtGui import *
import jtextfsm as textfsm
import matplotlib.pyplot as plt
import numpy as np
import io
class Stream(QObject):
newText = pyqtSignal(str)
def write(self, text):
self.newText.emit(str(text))
def flush(self):
pass
class MyClass(object):
def __init__(self, device_type=None, ip=None, username=None, password=None, secret=None, command=None, command2=None, command3=None, command4=None):
self.device_type = device_type
self.ip = ip
self.username = username
self.password = password
self.secret = secret
self.command = command
self.command2 = command2
self.command3 = command3
self.command4 = command4
class sshConnection(QThread):
def __init__(self):
QThread.__init__(self)
self.window = Widget()
def __del__(self):
self.wait()
def run(self):
self.runSSH()
def delete_file(self,name):
remove(name + "-show-memory-statistic.csv")
remove(name + "-show-process-cpu.csv")
remove(name + "-show-version.csv")
remove(name + "-show-env.csv")
remove(name + "-show-flash.csv")
# ------------- SSH Connection
def runSSH(self):
# do process
nameFile = ['Switch-1']
for list in nameFile:
self.TextFSM(list)
self.Graph(list)
# ------------- Convert text file to CSV File
def TextFSM(self, nameFile):
try:
input_file = open(nameFile + '.txt', encoding='utf-8') # show version
raw_text_data = input_file.read()
input_file.close()
input_file2 = open(nameFile + '.txt', encoding='utf-8') # show env
raw_text_data2 = input_file2.read()
input_file2.close()
input_file3 = open(nameFile + '.txt', encoding='utf-8') # show flash
raw_text_data3 = input_file3.read()
input_file3.close()
input_file4 = open(nameFile + '.txt', encoding='utf-8') # show memory statistic
raw_text_data4 = input_file4.read()
input_file4.close()
input_file5 = open(nameFile + '.txt', encoding='utf-8') # show process cpu
raw_text_data5 = input_file5.read()
input_file5.close()
template = open("show-version.textfsm") # show version
re_table = textfsm.TextFSM(template)
fsm_results = re_table.ParseText(raw_text_data)
template2 = open("show-env.textfsm") # show env
re_table2 = textfsm.TextFSM(template2)
fsm_results2 = re_table2.ParseText(raw_text_data2)
template3 = open("show-flash.textfsm") # show flash
re_table3 = textfsm.TextFSM(template3)
fsm_results3 = re_table3.ParseText(raw_text_data3)
template4 = open("show-memory-statistic.textfsm") # show memory statistic
re_table4 = textfsm.TextFSM(template4)
fsm_results4 = re_table4.ParseText(raw_text_data4)
template5 = open("show-process-cpu.textfsm") # show process cpu
re_table5 = textfsm.TextFSM(template5)
fsm_results5 = re_table5.ParseText(raw_text_data5)
outfile_name = open(nameFile + "-show-version.csv", "w+") # show version
outfile = outfile_name
outfile_name2 = open(nameFile + "-show-env.csv", "w+") # show env
outfile2 = outfile_name2
outfile_name3 = open(nameFile + "-show-flash.csv", "w+") # show flash
outfile3 = outfile_name3
outfile_name4 = open(nameFile + "-show-memory-statistic.csv", "w+") # show memory statistic
outfile4 = outfile_name4
outfile_name5 = open(nameFile + "-show-process-cpu.csv", "w+") # show process cpu
outfile5 = outfile_name5
print(re_table.header) # show version
for s in re_table.header:
outfile.write("%s;" % s)
outfile.write("\n")
counter = 0
for row in fsm_results: # show version
print(row)
for s in row:
outfile.write("%s;" % s)
outfile.write("\n")
counter += 1
print("Write %d records" % counter)
print(re_table2.header) # show env
for s in re_table2.header:
outfile2.write("%s;" % s)
outfile2.write("\n")
counter = 0
for row in fsm_results2: # show env
print(row)
for s in row:
outfile2.write("%s;" % s)
outfile2.write("\n")
counter += 1
print("Write %d records" % counter)
print(re_table3.header) # show flash
for s in re_table3.header:
outfile3.write("%s;" % s)
outfile3.write("\n")
counter = 0
for row in fsm_results3: # show flash
print(row)
for s in row:
outfile3.write("%s;" % s)
outfile3.write("\n")
counter += 1
print("Write %d records" % counter)
print(re_table4.header) # show memory statistics
for s in re_table4.header:
outfile4.write("%s;" % s)
outfile4.write("\n")
counter = 0
for row in fsm_results4: # show memory statistics
print(row)
for s in row:
outfile4.write("%s;" % s)
outfile4.write("\n")
counter += 1
print("Write %d records" % counter)
print(re_table5.header) # show process cpu
for s in re_table5.header:
outfile5.write("%s;" % s)
outfile5.write("\n")
counter = 0
for row in fsm_results5: # show process cpu
print(row)
for s in row:
outfile5.write("%s;" % s)
outfile5.write("\n")
counter += 1
print("Write %d records" % counter)
except IOError:
print("Error: There Have File does not appear to exist.")
# ------------- Convert Data to Graphic
def Graph(self, fileName2):
plt.figure(figsize=(8.8, 5.5), dpi=150)
plt.rcParams['text.color'] = 'k'
plt.rcParams.update({'font.size': 6})
plt.subplots_adjust(hspace=.4, right=.8, bottom=.2)
# 1 - show flash
plt.subplot(2, 2, 1)
try:
data = np.loadtxt(fileName2 + '-show-flash.csv', dtype=bytes, delimiter=';', usecols=(0, 1))\
.astype(str, io.StringIO())
slices = data[1]
labels = data[0]
colors = ['lightskyblue', 'lightcoral']
explode = [0.08, 0.01]
pie = plt.pie(slices, labels=labels, colors=colors, explode=explode, startangle=90, shadow=True,
autopct='%1.1f%%')
plt.title('Flash Memory\n(Bytes)')
plt.legend(pie[0], [" ".join(a) for a in zip(labels, slices)], loc='upper right')
plt.axis('equal')
except IOError:
print("Error: There Have File does not appear to exist.")
# 2 - show memory statistic
plt.subplot(2, 2, 2)
try:
data = np.loadtxt(fileName2 + '-show-memory-statistic.csv', dtype=bytes, delimiter=';',
usecols=(3, 4)).astype(str, io.StringIO())
slices = data[1]
labels = data[0]
colors = ['lightskyblue', 'lightcoral']
explode = [0.08, 0.01]
pie = plt.pie(slices, labels=labels, colors=colors, explode=explode, startangle=90, shadow=True,
autopct='%1.1f%%')
plt.title('Memory Statistic\n(Bytes)')
plt.legend(pie[0], [" ".join(a) for a in zip(labels, slices)], loc='upper right')
plt.axis('equal')
except IOError:
print("Error: There Have File does not appear to exist.")
# 3 - show cpu utilization
plt.subplot(2, 2, 3)
def autolabel(rects):
for rect in rects:
height = rect.get_height()
plt.text(rect.get_x() + rect.get_width() / 2, height - 2, '%1.1f%%' % int(height), ha='center',
va='bottom')
N = 3
try:
data = np.loadtxt(fileName2 + '-show-process-cpu.csv', dtype=bytes, delimiter=';',
usecols=(0, 1, 2)).astype(str)
my_xticks = data[0]
utilization = data[1]
utilization_int = [int(x) for x in utilization]
ind = np.arange(N)
width = 0.5
rects1 = plt.bar(ind, utilization_int, width, color='lightblue', )
plt.title("CPU Utilization\n ('%') ")
plt.xticks(ind, my_xticks)
plt.xlabel("CPU Utilization")
plt.ylabel("Percent(%)")
autolabel(rects1)
except IOError:
print("Error: There Have File does not appear to exist.")
# 4 - CPU Environtment
plt.subplot(2, 2, 4)
def autolabel(rects):
for rect in rects:
height = rect.get_height()
plt.text(rect.get_x() + rect.get_width() / 2, height - 5, '%d C' % int(height), ha='center',
va='bottom')
N = 3
try:
data = np.loadtxt(fileName2 + '-show-env.csv', dtype=bytes, delimiter=';', usecols=2).astype(str)
value = data[1]
if value == '':
try:
fan = np.loadtxt(fileName2 + '-show-env.csv', dtype=bytes, delimiter=';', usecols=0).astype(str)
system_temp = np.loadtxt(fileName2 + '-show-env.csv', dtype=bytes, delimiter=';', usecols=1).astype(
str)
power = np.loadtxt(fileName2 + '-show-env.csv', dtype=bytes, delimiter=';', usecols=6).astype(str)
rps = np.loadtxt(fileName2 + '-show-env.csv', dtype=bytes, delimiter=';', usecols=7).astype(str)
uptime = np.loadtxt(fileName2 + '-show-version.csv', dtype=bytes, delimiter=';', usecols=3).astype(
str)
pid = np.loadtxt(fileName2 + '-show-version.csv', dtype=bytes, delimiter=';', usecols=5).astype(str)
sn = np.loadtxt(fileName2 + '-show-version.csv', dtype=bytes, delimiter=';', usecols=6).astype(str)
uptime_title = uptime[0]
uptime_value = uptime[1]
pid_title = pid[0]
pid_value = pid[1]
sn_title = sn[0]
sn_value = sn[1]
fan_title = fan[0]
fan_status = fan[1]
system_temp_title = system_temp[0]
system_temp_value = system_temp[1]
power_tile = power[0]
power_value = power[1]
rps_tile = rps[0]
rps_value = rps[1]
text = fan_title + ' : ' + fan_status + '\n' + system_temp_title + ' : ' + system_temp_value + '\n' \
+ power_tile + ' : ' + power_value + '\n' + rps_tile + ' : ' + rps_value + ' PRESENT' + '\n\n' \
+ uptime_title + ' : ' + uptime_value + '\n' + pid_title + ' : ' + pid_value + '\n' + sn_title\
+ ' : ' + sn_value
plt.title("Cpu Environment\n ('Celcius') ")
plt.xlabel('CPU Environment')
plt.ylabel('Celcius')
plt.text(.15, 1 / 3, text, style='oblique', bbox={'facecolor': 'white', 'alpha': 0.5, 'pad': 5})
# plt.show('')
plt.savefig(fileName2 + '.png', bbox_inches='tight')
# Delete CSV File
except (IOError):
print("Error: There Have File does not appear to exist.")
plt.savefig(fileName2 + '.png', bbox_inches='tight')
# Delete CSV File
else:
try:
data = np.loadtxt(fileName2 + '-show-env.csv', dtype=bytes, delimiter=';',
usecols=(2, 4, 5)).astype(str)
fan = np.loadtxt(fileName2 + '-show-env.csv', dtype=bytes, delimiter=';', usecols=0).astype(str)
system_temp = np.loadtxt(fileName2 + '-show-env.csv', dtype=bytes, delimiter=';', usecols=1).astype(
str)
system_temp_state = np.loadtxt(fileName2 + '-show-env.csv', dtype=bytes, delimiter=';',
usecols=3).astype(str)
uptime = np.loadtxt(fileName2 + '-show-version.csv', dtype=bytes, delimiter=';', usecols=3).astype(
str)
pid = np.loadtxt(fileName2 + '-show-version.csv', dtype=bytes, delimiter=';', usecols=5).astype(str)
sn = np.loadtxt(fileName2 + '-show-version.csv', dtype=bytes, delimiter=';', usecols=6).astype(str)
y_height = np.loadtxt(fileName2 + '-show-env.csv', dtype=bytes, skiprows=1, delimiter=';',
usecols=5).astype(int)
uptime_title = uptime[0]
uptime_value = uptime[1]
pid_title = pid[0]
pid_value = pid[1]
sn_title = sn[0]
sn_value = sn[1]
fan_title = fan[0]
fan_status = fan[1]
system_temp_title = system_temp[0]
system_temp_value = system_temp[1]
system_temp_state_title = system_temp_state[0]
system_temp_state_status = system_temp_state[1]
my_xticks = data[0]
utilization = data[1]
utilization_int = [int(x) for x in utilization]
ind = np.arange(N)
width = 0.5
text = fan_title + ': ' + fan_status + '\n' + system_temp_title + ': ' + system_temp_value + \
'\n' + system_temp_state_title + ': ' + system_temp_state_status
text2 = pid_title + ' : ' + pid_value + '\n' + sn_title + ' : ' + sn_value +\
'\n\n' + uptime_title + ' : ' + uptime_value
rects1 = plt.bar(ind, utilization_int, width, color='r')
plt.title("CPU Environment\n ('Celcius') ")
plt.xticks(ind, my_xticks)
plt.xlabel('CPU Environment')
plt.ylabel('Celcius')
plt.text(2.4, y_height / 2, text)
plt.text(-1.59, -y_height / 1.77, text2, style='oblique',
bbox={'facecolor': 'red', 'alpha': 0.5, 'pad': 5})
autolabel(rects1)
# plt.show()
plt.savefig(fileName2 + '.png', bbox_inches='tight')
# Delete CSV File
self.delete_file(fileName2)
except (IOError, ValueError):
print("Error: There Have File does not appear to exist.")
plt.savefig(fileName2 + '.png', bbox_inches='tight')
# Delete CSV File
except (IOError):
print("Error: There Have File does not appear to exist.")
plt.savefig(fileName2 + '.png', bbox_inches='tight')
#Delete CSV File
class Widget(QWidget):
def __init__(self, parent=None):
QWidget.__init__(self, parent=parent)
self.setWindowTitle("Network Automation")
self.setFixedSize(350, 500)
# button generate and add
self.btgenerate = QPushButton(self)
self.btgenerate.setText('Generate')
self.btgenerate.setFixedWidth(70)
# Processs textedit
self.process = QTextEdit(self)
self.process.setLineWrapColumnOrWidth(400)
self.process.setLineWrapMode(QTextEdit.FixedPixelWidth)
self.process.setReadOnly(True)
layout = QGridLayout(self)
layout.addWidget(self.btgenerate, 0, 0)
layout.addWidget(self.process,1,0)
self.btgenerate.clicked.connect(self.runThread)
def onUpdateText(self, text):
cursor = self.process.textCursor()
cursor.movePosition(QTextCursor.End)
cursor.insertText(text)
self.process.setTextCursor(cursor)
self.process.ensureCursorVisible()
def runThread(self):
self.process.setText('')
self.run_thread = sshConnection()
self.run_thread.start()
app = QApplication(sys.argv)
app.setStyle('cleanlooks')
app.processEvents()
window = Widget()
sys.stdout = Stream(newText=window.onUpdateText)
window.show()
sys.exit(app.exec_())
txt file https://drive.google.com/file/d/0B_jl0iXmYwS_NGMxZWZEdllyVWc/view?usp=sharing
textfsm file https://drive.google.com/drive/folders/0B_jl0iXmYwS_ZWRFTXJjRlcxTWM?usp=sharing (generate csv file for matplotlib required)
i hope anyone help me to fix this problem,
Thank You.
1 answers
solution1
0 ACCPTED 2017-06-19 07:36:49
You should not plot in a different thread to the main thread, send a signal indicating that the processing has finished, in addition to use matplotlib you must indicate the backend qt4, you could insert the plot as part of the widget as shown below:
To clear the previous window you must use the cla() function, in your case:
[ax.cla() for ax in self.axes]
If you want the plot to be displayed you should use the following code:
import io
from os import remove
import matplotlib
import numpy as np
import textfsm
from PyQt4.QtCore import QObject, pyqtSignal, QThread
from PyQt4.QtGui import QApplication, QWidget, QPushButton, QTextEdit, QGridLayout, QTextCursor, QSizePolicy
matplotlib.use('QT4Agg')
matplotlib.rcParams['text.color'] = 'k'
matplotlib.rcParams.update({'font.size': 6})
from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg as FigureCanvas
from matplotlib.figure import Figure
class Stream(QObject):
newText = pyqtSignal(str)
def write(self, text):
self.newText.emit(str(text))
def flush(self):
pass
class sshConnection(QThread):
finishedFSM = pyqtSignal(str)
def __init__(self):
QThread.__init__(self)
def __del__(self):
self.wait()
def run(self):
self.runSSH()
def runSSH(self):
# do process
filenames = ['Switch-1']
for filename in filenames:
# self.delete_file(filename)
self.TextFSM(filename)
self.finishedFSM.emit(filename)
def TextFSM(self, nameFile):
try:
input_file = open(nameFile + '.txt', encoding='utf-8') # show version
raw_text_data = input_file.read()
input_file.close()
input_file2 = open(nameFile + '.txt', encoding='utf-8') # show env
raw_text_data2 = input_file2.read()
input_file2.close()
input_file3 = open(nameFile + '.txt', encoding='utf-8') # show flash
raw_text_data3 = input_file3.read()
input_file3.close()
input_file4 = open(nameFile + '.txt', encoding='utf-8') # show memory statistic
raw_text_data4 = input_file4.read()
input_file4.close()
input_file5 = open(nameFile + '.txt', encoding='utf-8') # show process cpu
raw_text_data5 = input_file5.read()
input_file5.close()
template = open("show-version.textfsm") # show version
re_table = textfsm.TextFSM(template)
fsm_results = re_table.ParseText(raw_text_data)
template2 = open("show-env.textfsm") # show env
re_table2 = textfsm.TextFSM(template2)
fsm_results2 = re_table2.ParseText(raw_text_data2)
template3 = open("show-flash.textfsm") # show flash
re_table3 = textfsm.TextFSM(template3)
fsm_results3 = re_table3.ParseText(raw_text_data3)
template4 = open("show-memory-statistic.textfsm") # show memory statistic
re_table4 = textfsm.TextFSM(template4)
fsm_results4 = re_table4.ParseText(raw_text_data4)
template5 = open("show-process-cpu.textfsm") # show process cpu
re_table5 = textfsm.TextFSM(template5)
fsm_results5 = re_table5.ParseText(raw_text_data5)
outfile_name = open(nameFile + "-show-version.csv", "w+") # show version
outfile = outfile_name
outfile_name2 = open(nameFile + "-show-env.csv", "w+") # show env
outfile2 = outfile_name2
outfile_name3 = open(nameFile + "-show-flash.csv", "w+") # show flash
outfile3 = outfile_name3
outfile_name4 = open(nameFile + "-show-memory-statistic.csv", "w+") # show memory statistic
outfile4 = outfile_name4
outfile_name5 = open(nameFile + "-show-process-cpu.csv", "w+") # show process cpu
outfile5 = outfile_name5
print(re_table.header) # show version
for s in re_table.header:
outfile.write("%s;" % s)
outfile.write("\n")
counter = 0
for row in fsm_results: # show version
print(row)
for s in row:
outfile.write("%s;" % s)
outfile.write("\n")
counter += 1
print("Write %d records" % counter)
print(re_table2.header) # show env
for s in re_table2.header:
outfile2.write("%s;" % s)
outfile2.write("\n")
counter = 0
for row in fsm_results2: # show env
print(row)
for s in row:
outfile2.write("%s;" % s)
outfile2.write("\n")
counter += 1
print("Write %d records" % counter)
print(re_table3.header) # show flash
for s in re_table3.header:
outfile3.write("%s;" % s)
outfile3.write("\n")
counter = 0
for row in fsm_results3: # show flash
print(row)
for s in row:
outfile3.write("%s;" % s)
outfile3.write("\n")
counter += 1
print("Write %d records" % counter)
print(re_table4.header) # show memory statistics
for s in re_table4.header:
outfile4.write("%s;" % s)
outfile4.write("\n")
counter = 0
for row in fsm_results4: # show memory statistics
print(row)
for s in row:
outfile4.write("%s;" % s)
outfile4.write("\n")
counter += 1
print("Write %d records" % counter)
print(re_table5.header) # show process cpu
for s in re_table5.header:
outfile5.write("%s;" % s)
outfile5.write("\n")
counter = 0
for row in fsm_results5: # show process cpu
print(row)
for s in row:
outfile5.write("%s;" % s)
outfile5.write("\n")
counter += 1
print("Write %d records" % counter)
except IOError:
print("Error: There Have File does not appear to exist.")
class MplCanvas(FigureCanvas):
"""Ultimately, this is a QWidget (as well as a FigureCanvasAgg, etc.)."""
def __init__(self, parent=None, figsize=(8.8, 5.5), dpi=150):
fig = Figure(figsize=figsize, dpi=dpi)
fig.subplots_adjust(hspace=.4, right=.8, bottom=.2)
self.axes = [fig.add_subplot(2, 2, i) for i in range(1, 5)]
FigureCanvas.__init__(self, fig)
self.setParent(parent)
FigureCanvas.setSizePolicy(self, QSizePolicy.Expanding, QSizePolicy.Expanding)
FigureCanvas.updateGeometry(self)
def graph(self, filename):
[ax.cla() for ax in self.axes]
axes1, axes2, axes3, axes4 = self.axes
colors = ['lightskyblue', 'lightcoral']
explode = [0.08, 0.01]
# show-env
try:
data = np.loadtxt('{}-show-flash.csv'.format(filename), dtype=bytes, delimiter=';', usecols=(0, 1)) \
.astype(str, io.StringIO())
slices = data[1]
labels = data[0]
pie = axes1.pie(slices, labels=labels, colors=colors, explode=explode, startangle=90, shadow=True,
autopct='%1.1f%%')
axes1.title.set_text('Flash Memory\n(Bytes)')
axes1.legend(pie[0], [" ".join(a) for a in zip(labels, slices)], loc='upper right')
axes1.axis('equal')
except IOError:
print("Error: There Have File does not appear to exist.")
# show-memory-statistic
try:
data = np.loadtxt('{}-show-memory-statistic.csv'.format(filename), dtype=bytes, delimiter=';',
usecols=(3, 4)).astype(str, io.StringIO())
slices = data[1]
labels = data[0]
pie = axes2.pie(slices, labels=labels, colors=colors, explode=explode, startangle=90, shadow=True,
autopct='%1.1f%%')
axes2.title.set_text('Memory Statistic\n(Bytes)')
axes2.legend(pie[0], [" ".join(a) for a in zip(labels, slices)], loc='upper right')
axes2.axis('equal')
except IOError:
print("Error: There Have File does not appear to exist.")
# show-process-cpu
N = 3
try:
data = np.loadtxt('{}-show-process-cpu.csv'.format(filename), dtype=bytes, delimiter=';',
usecols=(0, 1, 2)).astype(str)
my_xticks = data[0]
utilization = data[1]
utilization_int = [int(x) for x in utilization]
ind = np.arange(N)
width = 0.5
rects = axes3.bar(ind, utilization_int, width, color='lightblue', )
axes3.set_title("CPU Utilization\n ('%') ")
axes3.set_xticks(ind + width / 2)
axes3.set_xticklabels(my_xticks)
axes3.set_xlabel("CPU Utilization")
axes3.set_ylabel("Percent(%)")
for rect in rects:
height = rect.get_height()
axes3.text(rect.get_x() + rect.get_width() / 2, height - 2,
'%1.1f%%' % int(height), ha='center', va='bottom')
except IOError:
print("Error: There Have File does not appear to exist.")
# show-env
N = 3
try:
data = np.loadtxt('{}-show-env.csv'.format(filename), dtype=bytes, delimiter=';', usecols=2).astype(str)
value = data[1]
if value == '':
try:
fan = np.loadtxt('{}-show-env.csv'.format(filename), dtype=bytes, delimiter=';', usecols=0).astype(
str)
system_temp = np.loadtxt('{}-show-env.csv'.format(filename), dtype=bytes, delimiter=';',
usecols=1).astype(
str)
power = np.loadtxt('{}-show-env.csv'.format(filename), dtype=bytes, delimiter=';',
usecols=6).astype(str)
rps = np.loadtxt('{}-show-env.csv'.format(filename), dtype=bytes, delimiter=';', usecols=7).astype(
str)
uptime = np.loadtxt('{}-show-version.csv'.format(filename), dtype=bytes, delimiter=';',
usecols=3).astype(
str)
pid = np.loadtxt('{}-show-version.csv'.format(filename), dtype=bytes, delimiter=';',
usecols=5).astype(str)
sn = np.loadtxt('{}-show-version.csv'.format(filename), dtype=bytes, delimiter=';',
usecols=6).astype(str)
uptime_title = uptime[0]
uptime_value = uptime[1]
pid_title = pid[0]
pid_value = pid[1]
sn_title = sn[0]
sn_value = sn[1]
fan_title = fan[0]
fan_status = fan[1]
system_temp_title = system_temp[0]
system_temp_value = system_temp[1]
power_tile = power[0]
power_value = power[1]
rps_tile = rps[0]
rps_value = rps[1]
text = fan_title + ' : ' + fan_status + '\n' + system_temp_title + ' : ' + system_temp_value + '\n' \
+ power_tile + ' : ' + power_value + '\n' + rps_tile + ' : ' + rps_value + ' PRESENT' + '\n\n' \
+ uptime_title + ' : ' + uptime_value + '\n' + pid_title + ' : ' + pid_value + '\n' + sn_title \
+ ' : ' + sn_value
axes4.set_title("Cpu Environment\n ('Celcius') ")
axes4.set_xlabel('CPU Environment')
axes4.set_ylabel('Celcius')
axes4.text(.15, 1 / 3, text, style='oblique', bbox={'facecolor': 'white', 'alpha': 0.5, 'pad': 5})
# plt.show('')
axes4.figure.savefig('{}.png'.format(filename), bbox_inches='tight')
# Delete CSV File
except (IOError):
print("Error: There Have File does not appear to exist.")
axes4.figure.savefig('{}.png'.format(filename), bbox_inches='tight')
# Delete CSV File
else:
try:
data = np.loadtxt('{}-show-env.csv'.format(filename), dtype=bytes, delimiter=';',
usecols=(2, 4, 5)).astype(str)
fan = np.loadtxt('{}-show-env.csv'.format(filename), dtype=bytes, delimiter=';', usecols=0).astype(
str)
system_temp = np.loadtxt('{}-show-env.csv'.format(filename), dtype=bytes, delimiter=';',
usecols=1).astype(
str)
system_temp_state = np.loadtxt('{}-show-env.csv'.format(filename), dtype=bytes, delimiter=';',
usecols=3).astype(str)
uptime = np.loadtxt('{}-show-version.csv'.format(filename), dtype=bytes, delimiter=';',
usecols=3).astype(
str)
pid = np.loadtxt('{}-show-version.csv'.format(filename), dtype=bytes, delimiter=';',
usecols=5).astype(str)
sn = np.loadtxt('{}-show-version.csv'.format(filename), dtype=bytes, delimiter=';',
usecols=6).astype(str)
y_height = np.loadtxt('{}-show-env.csv'.format(filename), dtype=bytes, skiprows=1, delimiter=';',
usecols=5).astype(int)
uptime_title = uptime[0]
uptime_value = uptime[1]
pid_title = pid[0]
pid_value = pid[1]
sn_title = sn[0]
sn_value = sn[1]
fan_title = fan[0]
fan_status = fan[1]
system_temp_title = system_temp[0]
system_temp_value = system_temp[1]
system_temp_state_title = system_temp_state[0]
system_temp_state_status = system_temp_state[1]
my_xticks = data[0]
utilization = data[1]
utilization_int = [int(x) for x in utilization]
ind = np.arange(N)
width = 0.5
text = fan_title + ': ' + fan_status + '\n' + system_temp_title + ': ' + system_temp_value + \
'\n' + system_temp_state_title + ': ' + system_temp_state_status
text2 = pid_title + ' : ' + pid_value + '\n' + sn_title + ' : ' + sn_value + \
'\n\n' + uptime_title + ' : ' + uptime_value
rects1 = axes4.bar(ind, utilization_int, width, color='r')
axes4.set_title("CPU Environment\n ('Celcius') ")
axes4.set_xticks(ind)
axes4.set_xticklabels(my_xticks)
axes4.set_xlabel('CPU Environment')
axes4.set_ylabel('Celcius')
axes4.text(2.4, y_height / 2, text)
axes4.text(-1.59, -y_height / 1.77, text2, style='oblique',
bbox={'facecolor': 'red', 'alpha': 0.5, 'pad': 5})
for rect in rects1:
height = rect.get_height()
axes4.text(rect.get_x() + rect.get_width() / 2, height - 5, '%d C' % int(height), ha='center',
va='bottom')
axes4.figure.savefig('{}.png'.format(filename), bbox_inches='tight')
# Delete CSV File
self.delete_file(filename)
except (IOError, ValueError):
print("Error: There Have File does not appear to exist.")
axes4.figure.savefig('{}.png'.format(filename), bbox_inches='tight')
# Delete CSV File
except (IOError):
print("Error: There Have File does not appear to exist.")
axes4.figure.savefig('{}.png'.format(filename), bbox_inches='tight')
# Delete CSV File
self.draw()
def delete_file(self, name):
remove(name + "-show-memory-statistic.csv")
remove(name + "-show-process-cpu.csv")
remove(name + "-show-version.csv")
remove(name + "-show-env.csv")
remove(name + "-show-flash.csv")
class Widget(QWidget):
def __init__(self, parent=None):
QWidget.__init__(self, parent=parent)
self.setWindowTitle("Network Automation")
self.setFixedSize(350, 500)
# button generate and add
self.btgenerate = QPushButton(self)
self.btgenerate.setText('Generate')
self.btgenerate.setFixedWidth(70)
# Processs textedit
self.process = QTextEdit(self)
self.process.setFixedWidth(350)
self.process.setLineWrapColumnOrWidth(400)
self.process.setLineWrapMode(QTextEdit.FixedPixelWidth)
self.process.setReadOnly(True)
self.cv = MplCanvas()
layout = QGridLayout(self)
layout.addWidget(self.btgenerate, 0, 0)
layout.addWidget(self.process, 1, 0)
self.btgenerate.clicked.connect(self.runThread)
def onUpdateText(self, text):
cursor = self.process.textCursor()
cursor.movePosition(QTextCursor.End)
cursor.insertText(text)
self.process.setTextCursor(cursor)
self.process.ensureCursorVisible()
def runThread(self):
self.process.setText('')
self.run_thread = sshConnection()
self.run_thread.finishedFSM.connect(self.cv.graph)
self.run_thread.start()
if __name__ == '__main__':
import sys
app = QApplication(sys.argv)
app.setStyle('cleanlooks')
window = Widget()
sys.stdout = Stream(newText=window.onUpdateText)
window.show()
sys.exit(app.exec_())
Screenshot:
Switch-1.png
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