Ok, fair enough. Let's use that:
--
import numpy as np
import matplotlib.cm as cm
import matplotlib.pyplot as plt
n = 10
x = np.random.standard_normal(n)
y = 2.0 + 3.0 * x + 4.0 * np.random.standard_normal(n)
xmin = x.min()
xmax = x.max()
ymin = y.min()
ymax = y.max()
Hi John,
I solved the bug. In my application I have several threads. One of the
threads updates the graph on a timer and another gets data from the
application in order to plot.
The thread updating the limits was based on data coming from the
application. As I stated this is a two part process
Hi All,
Too many people in the Python community *still* think the only way to
work with Excel files in Python is using COM on Windows.
To try and correct this, I'm giving a tutorial at this year's EuroPython
conference in Birmingham, UK on Monday, 29th June that will cover
working with Excel
I'd like to plot a collection and scale the size of the collection
elements in relation to the data. My guess is that I need to use the
data transformation (ax.transData) since I would like the size of the
collection elements altered when zooming in/out.
Unfortunately, my attempt has led to
