"Draw a graph in the programming language Julia" I succeeded in moving the sample for the time being, but the data created by my own program (in Julia language) I decided to find out how to draw a graph using. Well, I wanted to use 3D graphs (OpenGL), and I thought it would be difficult to port all the sample code of PyQtGraph to Julia. ** Okay, change policy ... Let's leave all the graphs to Python! ** **
As a result, it became the source code at the end of the sentence.
By leaving the processing of graphs ** to the Python code **, development has become super easy! After that, if there is a sample that performs such calculation processing on the Julia side ... ** Next, let's try a 3D graph using OpenGL! ** **
Note: Please refer to "Drawing a graph in the programming language Julia" for environment construction.
text:Plotting.jl(C:\julia-0.2.1-win32\Save to bin)
using PyCall
@pyimport Plotting
Plotting.my_graph_set([1, 2, 3, 4, 5, 10, 20, 5])
Plotting.my_graph_run()
python:Plotting.py(C:\julia-0.2.1-win32\Save to bin)
# -*- coding: utf-8 -*-
"""
This example demonstrates many of the 2D plotting capabilities
in pyqtgraph. All of the plots may be panned/scaled by dragging with
the left/right mouse buttons. Right click on any plot to show a context menu.
"""
from pyqtgraph.Qt import QtGui, QtCore
import numpy as np
import pyqtgraph as pg
plot_data_1 = []
def my_graph_set(plot_data):
global plot_data_1
plot_data_1 = plot_data
def my_graph_run():
global plot_data_1
app = QtGui.QApplication([])
win = pg.GraphicsWindow(title="Basic plotting examples")
win.resize(800,600)
win.setWindowTitle('pyqtgraph example: Plotting')
# Enable antialiasing for prettier plots
pg.setConfigOptions(antialias=True)
p1 = win.addPlot(title="Basic array plotting", y=plot_data_1)
p2 = win.addPlot(title="Multiple curves")
p2.plot(np.random.normal(size=100), pen=(255,0,0))
p2.plot(np.random.normal(size=100)+5, pen=(0,255,0))
p2.plot(np.random.normal(size=100)+10, pen=(0,0,255))
p3 = win.addPlot(title="Drawing with points")
p3.plot(np.random.normal(size=100), pen=(200,200,200), symbolBrush=(255,0,0), symbolPen='w')
win.nextRow()
p4 = win.addPlot(title="Parametric, grid enabled")
x = np.cos(np.linspace(0, 2*np.pi, 1000))
y = np.sin(np.linspace(0, 4*np.pi, 1000))
p4.plot(x, y)
p4.showGrid(x=True, y=True)
p5 = win.addPlot(title="Scatter plot, axis labels, log scale")
x = np.random.normal(size=1000) * 1e-5
y = x*1000 + 0.005 * np.random.normal(size=1000)
y -= y.min()-1.0
mask = x > 1e-15
x = x[mask]
y = y[mask]
p5.plot(x, y, pen=None, symbol='t', symbolPen=None, symbolSize=10, symbolBrush=(100, 100, 255, 50))
p5.setLabel('left', "Y Axis", units='A')
p5.setLabel('bottom', "Y Axis", units='s')
p5.setLogMode(x=True, y=False)
global curve, data, ptr, p6
p6 = win.addPlot(title="Updating plot")
curve = p6.plot(pen='y')
data = np.random.normal(size=(10,1000))
ptr = 0
def update():
global curve, data, ptr, p6
curve.setData(data[ptr%10])
if ptr == 0:
p6.enableAutoRange('xy', False) ## stop auto-scaling after the first data set is plotted
ptr += 1
timer = QtCore.QTimer()
timer.timeout.connect(update)
timer.start(50)
win.nextRow()
p7 = win.addPlot(title="Filled plot, axis disabled")
y = np.sin(np.linspace(0, 10, 1000)) + np.random.normal(size=1000, scale=0.1)
p7.plot(y, fillLevel=-0.3, brush=(50,50,200,100))
p7.showAxis('bottom', False)
x2 = np.linspace(-100, 100, 1000)
data2 = np.sin(x2) / x2
p8 = win.addPlot(title="Region Selection")
p8.plot(data2, pen=(255,255,255,200))
lr = pg.LinearRegionItem([400,700])
lr.setZValue(-10)
p8.addItem(lr)
p9 = win.addPlot(title="Zoom on selected region")
p9.plot(data2)
def updatePlot():
p9.setXRange(*lr.getRegion(), padding=0)
def updateRegion():
lr.setRegion(p9.getViewBox().viewRange()[0])
lr.sigRegionChanged.connect(updatePlot)
p9.sigXRangeChanged.connect(updateRegion)
updatePlot()
QtGui.QApplication.instance().exec_()
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