Sorry looks like my smartphone's copy/paste removed carriage return in
certain places in the script :-(
On Jun 13, 2012 12:32 PM, "Chris Withers" wrote:
> Hi all,
>
> I have some time series of disk usage that I'd like to do a linear
> regression on an plot on a nice graph with Mb used on the y-a
Check out linregress from scipy.stats module. Not sure if it will handle
dates. Sample script below:
from scipy.stats import pearsonr from scipy.stats import linregress from
matplotlib import pyplot as plt import numpy as np
sat = np.array([595,520,715,405,680,490,565]) gpa =
np.array([3.4,3.2,
Hi all,
I have some time series of disk usage that I'd like to do a linear
regression on an plot on a nice graph with Mb used on the y-axis and
date on the x axis.
I tried to use pylab.polyfit(dates, usage) where:
dates = [datetime(x, y, z), datetime(a, b, c), ...]
usage = [12123234, 223423523
