我想从Jupyter笔记本页面中绘制出我的情节。我记得"%matplotlib qt"应该是在脚本开头键入的正确命令
%matplotlib qt
import matplotlib.pyplot as plt
import numpy as np
x = np.arange(-3, 3, 0.01)
y = np.sin(np.pi*x)/(np.pi*x)
plt.figure()
plt.plot(x, y)
plt.show()
但是当我得到一个内联图和以下警告
时它不起作用Warning: Cannot change to a different GUI toolkit: qt. Using notebook instead.
你能帮我理解我的jupyter的错误吗?
我想在浏览器之外绘图的原因是它看起来是唯一一种在Jupyter上随时间变化的情节,实际上我可以使用以下代码轻松地在Spyder上完成这项工作
import matplotlib.pyplot as plt
import numpy as np
x = np.arange(-3, 3, 0.01)
fig = plt.figure()
ax = fig.add_subplot(111)
for j in range(1, 10):
y = np.sin(np.pi*x*j)/(np.pi*x*j)
line, = ax.plot(x, y, 'b')
plt.pause(0.3)
plt.draw()
line.remove()
但是在这个阶段,这段代码并没有在Jupyter上正常运行。是否有任何替代和有趣的方式来提供在Jupyter上随时间变化的情节?
答案 0 :(得分:0)
此代码至少可以为您提供一个外部窗口,可以在其中执行操作。 取自pythonspot.com。我确定会有一种方法可以添加动作等,但我已经过了8小时的睡觉时间zzzzz
import sys
from PyQt5.QtWidgets import QApplication, QMainWindow, QMenu, QVBoxLayout, QSizePolicy, QMessageBox, QWidget, QPushButton
from PyQt5.QtGui import QIcon
from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas
from matplotlib.figure import Figure
import matplotlib.pyplot as plt
import numpy as np
import random
class App(QMainWindow):
def __init__(self):
super().__init__()
self.left = 10
self.top = 10
self.title = 'PyQt5 matplotlib example - pythonspot.com'
self.width = 640
self.height = 400
self.initUI()
def initUI(self):
self.setWindowTitle(self.title)
self.setGeometry(self.left, self.top, self.width, self.height)
m = PlotCanvas(self, width=5, height=4)
m.move(0,0)
self.show()
class PlotCanvas(FigureCanvas):
def __init__(self, parent=None, width=5, height=4, dpi=100):
fig = Figure(figsize=(width, height), dpi=dpi)
self.axes = fig.add_subplot(111)
FigureCanvas.__init__(self, fig)
self.setParent(parent)
FigureCanvas.setSizePolicy(self,
QSizePolicy.Expanding,
QSizePolicy.Expanding)
FigureCanvas.updateGeometry(self)
self.plot()
def plot(self):
x = np.arange(-3, 3, 0.01)
ax = self.figure.add_subplot(111)
ax.set_title('PyQt Matplotlib Example')
for j in range(1, 10):
y = np.sin(np.pi*x*j)/(np.pi*x*j)
line, = ax.plot(x, y, 'b')
self.draw()
if __name__ == '__main__':
app = QApplication(sys.argv)
ex = App()
sys.exit(app.exec_())