interactive

I am trying to run gnuplot from ruby (not using an external gem) and parsing its textual output also. I tried IO.popen , PTY.spawn and Open3.popen3 but whenever I try to get the output it just "hangs" -I guess waiting for more output to come. I feel like its somehow done using Thread.new but I couldn't find the correct way to implement it. Anyone know how it is done? I guess this is what you want: require 'pty' require 'expect' PTY.spawn('gnuplot') do |input, output, pid| str = input.expect(/gnuplot>/) puts str output.puts "mlqksdf" str = input.expect(/gnuplot>/) puts str output.puts "exit"

I am trying to convey a large amount of scientific data seamlessly with the help of sliders. I am beginning with Bokeh and have close to no knowledge in javascript. I tried to setup a first approach to be able to slide through two images, but I cannot get the image to refresh. Suppose I have 1.png and 2.png in my folder. from bokeh.io import vform from bokeh.models import CustomJS, ColumnDataSource, Slider from bokeh.plotting import Figure, output_file, show output_file('image.html') source = ColumnDataSource(data=dict(url=['1.png'])) p = Figure(x_range=(0,1), y_range=(0,1)) callbackimg =

I am trying to use widget events to make an interactive graph. %matplotlib inline import numpy as np import matplotlib.pyplot as plt import ipywidgets as widgets def myplot(n): x = np.linspace(-5, 5, 30) y = x**n fig, ax = plt.subplots(nrows=1, ncols=1); ax.plot(x, y) ax.set_xlabel('x') ax.set_ylabel('y') plt.show() Interact works as expected (it changes the figure interactively): widgets.interact(myplot, n=(0,5)); However the following snippet creates several figures that appear below as you interact with the slider. n_widget = widgets.IntSlider( value=2, min=0, max=5) def on_value_change

I wrote the code below in Ipython notebook to generate a sigmoid function controlled by parameters a which defines the position of the sigmoid center, and b which defines its width: %matplotlib inline import numpy as np import matplotlib.pyplot as plt def sigmoid(x,a,b): #sigmoid function with parameters a = center; b = width s= 1/(1+np.exp(-(x-a)/b)) return 100.0*(s-min(s))/(max(s)-min(s)) # normalize sigmoid to 0-100 x = np.linspace(0,10,256) sigm = sigmoid(x, a=5, b=1) fig = plt.figure(figsize=(24,6)) ax1 = fig.add_subplot(2, 1, 1) ax1.set_xticks([]) ax1.set_xticks([]) plt.plot(x,sigm,lw=2

What I want to do is to update a mayavi plot in a loop. I want the updating of the plot to be done at a time specified by me (unlike, e.g., the animation decorator). So an example piece of code I would like to get running is: import time import numpy as np from mayavi import mlab V = np.random.randn(20, 20, 20) s = mlab.contour3d(V, contours=[0]) for i in range(5): time.sleep(1) # Here I'll be computing a new V V = np.random.randn(20, 20, 20) # Update the plot with the new information s.mlab_source.set(scalars=V) However, this doesn't display a figure. If I include mlab.show() in the loop,

After weeks of research on this topic I've finally decided to start a thread of my own in hope there is someone out there with experience that can help. I've scoured the internet trying to understand the various coding examples out there, but I've come up short trying to put a working solution together. Let me start with some background-- Background: I have a vb.net application that is getting delivered to Windows Servers and PCs in my organization using CA IT Client Manager (ITCM). Much like Microsoft SCCM, CA ITCM has an agent service running as SYSTEM on each PC. Hence, when my application

I'd like to reproduce an effect similar to this page: http://artofflightmovie.com/ where the vertical scrollbar controls the progression of the browser "viewport" over a pre-defined path. I am thinking the easiest way of going about this is through the use of javascript to read the scroll bar value and position background elements accordingly. Is it possible to obtain the vertical scroll bar value in Javascript? Am I approaching this design wrong? Is it possible to obtain the vertical scroll bar value in Javascript? var scrollTop = document.documentElement.scrollTop || window.pageYOffset; Am I

This example makes it possible to click a legend and thereby change a plot. I want to do something similar, but then not by clicking the legend, just by clicking the line in the plot. I tried to do it like this: self.ax = self.fig.add_subplot(1,2,1) data = NP.array(2,10) #filled with numbers self.x = NP.arange(2) for line in range(len(data[0,:])): self.ax.plot(self.x, data[:,line], picker=5) In every loop, an extra line is plotted. One line consists of 2 points, so it draws a straight line. But now every loop, the picker is the same, so no matter which line I click, the commands I wrote to