The following code:
from pylab import arange
nSegments=5.0
print arange(0,1.0+1.0/nSegments,1.0/nSegments)
nSegments=6.0
print arange(0,1.0+1.0/nSegments,1.0/nSegments)
nSegments=8.0
print arange(0,1.0+1.0/nSegments,1.0/nSegments)
nSegments=10.0
print arange(0,1
I still need help with this.
I'd like to have the Sample A box place itself in the optimal empty space, so
as not to overly any graphing elements (if possible):
import numpy.random
import matplotlib.pyplot as plt
fig = plt.figure(1, figsize=(5,5))
fig.clf()
ax = fig.add_subplot(111)
ax.set_a
There is a function scipy.stats.mstats.mquantiles that returns
quantiles for a vector of data.
But my data should not be uniformly weighted in an estimate of the
distribution, since they are from a survey and come with estimated
sampling weights based on the stratification used in sampling.
Is th
Here is a file "test.csv"
number,name,description,value
1,"wer","tape 2"",5
1,vvv,"hoohaa",2
I want to convert it to tab-separated without those silly quotes. Note
in the second line that a field is 'tape 2"' , ie two inches: there is
a double quote in the string.
When I use csv module to read th
