The image above is of Uppsala Cathedral, Sweden, with its spires.
From the Spyre site:
Spyre is a Web Application Framework for providing a simple user interface for Python data projects. It is by Adam Hajari
I had come across Spyre recently via this post by Ian Oszvald:
Data Science Deployed – Opening Keynote for PyConSE 2015. More about Ian Oszvald here.
So I installed Spyre with the command:
pip install dataspyrewhich in turn installed NumPy, pandas and matplotlib, all of which went through okay, though I saw some compiler / linker error messages scroll by as some compilation of C modules was happening (as part of the installation).
Then I tried it out a little, this time just using one of the simple applications on the Spyre site, without any modifications, like I sometimes do.
from spyre import server
import matplotlib.pyplot as plt
import numpy as np
class SimpleSineApp(server.App):
title = "Simple Sine App"
inputs = [{ "input_type":"text",
"variable_name":"freq",
"value":5,
"action_id":"sine_wave_plot"}]
outputs = [{"output_type":"plot",
"output_id":"sine_wave_plot",
"on_page_load":True }]
def getPlot(self, params):
f = float(params['freq'])
x = np.arange(0,2*np.pi,np.pi/150)
y = np.sin(f*x)
fig = plt.figure()
splt1 = fig.add_subplot(1,1,1)
splt1.plot(x,y)
return fig
app = SimpleSineApp()
app.launch()
As you can see, the structure / model of the code for a Spyre app does not seem to be very similar to that of, say, a Flask or a Bottle app. But then, there is no reason that it should be.Anyway, I ran this app with the command:
python simple_sine_example.py
and then browsed to:
http://127.0.0.1:8080/
where I then gave different values for the input parameter freq, to see what would happen. I found that running it with certain values of freq created interesting Moire patterns in the output; hence the title of this post.
Here are a few screenshots below that show those moire patterns:
With freq = 764:
With freq = 472:
With freq = 475:
With freq = 479:
Notice that in some cases, such as with the values of 472, 475 and 479 for freq, the small changes between those values results in significant changes in the output image. Not only that: for 472 and 479, the images are similar (look sine-wave-y), but for 475 (which is between the other two values), the image looks almost like straight vertical lines. (It isn't, of course; it's still a sine wave, but more compressed along the horizontal axis.) I've not analyzed the reason for this in detail; something to do with the periodicity of the sine function, is my rough guess, but I have seen similar phenomena when drawing other kinds of computer graphics on the screen; those also involved trigonometric functions such as sine and cosine.
Spyre away :)
P.S. In other news, I was recently profiled in PyDev of the Week.
- Vasudev Ram - Online Python training and programming Dancing Bison EnterprisesSignup to hear about new products or services that I create. Posts about Python Posts about xtopdf Contact Page
