On 9/26/12 12:31 PM, Benjamin Root wrote:
On Wed, Sep 26, 2012 at 12:10 PM, Paul Tremblay
paulhtremb...@gmail.com mailto:paulhtremb...@gmail.com wrote:
Thanks. I know when doing 8/9 in python 2.x you get 0. With python
3 you get a decimal (Hooray, Python 3!).
I ran the script I
Hi,
Just a detail :
Le 26/09/2012 04:29, Paul Tremblay a écrit :
percent = (np.divide(the_cumsum, the_sum)) * 100
This lines doesn't work on my computer (numpy 1.6.2)
Indeed, there is a casting issue :
In [2]: percent
Out[2]: array([ 0, 0, 0, 0, 100])
However, using the regular /
On Wed, Sep 26, 2012 at 4:31 AM, Pierre Haessig pierre.haes...@crans.orgwrote:
Hi,
Just a detail :
Le 26/09/2012 04:29, Paul Tremblay a écrit :
percent = (np.divide(the_cumsum, the_sum)) * 100
This lines doesn't work on my computer (numpy 1.6.2)
Indeed, there is a casting issue :
In
Le 26/09/2012 15:25, Benjamin Root a écrit :
Actually, if you are using the latest numpy (the 1.7 beta), that will
also not work unless you are using py3k or did from __future__ import
division. Well, actually, using np.divide will always result in
integer division (this may or may not be a
Thanks. I know when doing 8/9 in python 2.x you get 0. With python 3 you
get a decimal (Hooray, Python 3!).
I ran the script I submitted with python 3. Do I need to change the defects
and totals from integers to floats to make my chart work universally?
P.
On Wed, Sep 26, 2012 at 4:31 AM,
On Wed, Sep 26, 2012 at 12:10 PM, Paul Tremblay paulhtremb...@gmail.comwrote:
Thanks. I know when doing 8/9 in python 2.x you get 0. With python 3 you
get a decimal (Hooray, Python 3!).
I ran the script I submitted with python 3. Do I need to change the
defects and totals from integers to
On Mon, Sep 24, 2012 at 12:21 AM, Paul Tremblay paulhtremb...@gmail.com
wrote:
Here is my example of a Pareto chart.
For an explanation of a Pareto chart:
http://en.wikipedia.org/wiki/Pareto_chart
Could I get this chart added to the matplolib gallery?
Thanks
Paul
On 9/24/12 4:40
I think pareto charts are supposed to be percentages, not totals.
data = [83, 38, 7, 5, 5, 4, 4, 2, 1]
labels = [Vertical, Horizontal, Upper, Lower, Left, Right,
Behind, Front, Down]
colors = [#001499, #ff7f00, #9440ed, #edc240, #238c3f,
#a60085, #00cca3, #464f8c, #005947, #4d,
There are two problems with this chart:
1. The scale is wrong. Imagine that you can stack all the bars on top of
each other. When stacked, all the bars should fill in the graph exactly. In
other words: ax1.set_ylim = sum(defects). See my original, or the wiki page.
2. The line starts in the
Yes, that works nice. So my final code, as minimalist as possible (while
still maintaining readability):
import matplotlib.pyplot as plt
import numpy as np
# the data to plot
defects = [32, 22, 15, 5, 2]
labels = ['vertical', 'horizontal', 'behind', 'left area', 'other']
the_sum = sum(defects) #
On Mon, Sep 24, 2012 at 12:21 AM, Paul Tremblay paulhtremb...@gmail.comwrote:
Here is my example of a Pareto chart.
For an explanation of a Pareto chart:
http://en.wikipedia.org/wiki/Pareto_chart
Could I get this chart added to the matplolib gallery?
Thanks
Paul
Your code looks
I took my example from the matplotlib pages itself:
http://matplotlib.org/examples/api/fahrenheit_celcius_scales.html
If you know a better way, please show me.
P.
On 9/24/12 4:40 PM, Benjamin Root wrote:
On Mon, Sep 24, 2012 at 12:21 AM, Paul Tremblay
paulhtremb...@gmail.com
By the way, I had done the chart differently to begin with. But this code
requires more lines, more imports, and is more complex. (Without
plt.gca().yaxis or the formatter, the graph will not come out.)
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.ticker import FuncFormatter
Here is my example of a Pareto chart.
For an explanation of a Pareto chart:
http://en.wikipedia.org/wiki/Pareto_chart
Could I get this chart added to the matplolib gallery?
Thanks
Paul
import matplotlib.pyplot as plt
import numpy as np
def update_ax2(axx):
ax2.set_ylim(0, 100)
14 matches
Mail list logo
