Sorry, this is the correct link
http://pcp.oxfordjournals.org/content/52/2/274/F2.expansion.html (Fig2).
Thank you in advance,
On 09/11/2011 04:33 PM, Eric Firing wrote:
> On 09/10/2011 07:57 PM, xyz wrote:
>> Hello,
>> How is it possible to paint this kin
Hello,
How is it possible to paint this kind graph
http://pcp.oxfordjournals.org/content/52/2/274 with Matplotlib?
Thank you in advance.
Cheers,
Michal
--
Using storage to extend the benefits of virtualization and iSCS
Hello,
I do not know how to extract coordinates from a dict in order to paint
all three graphs:
from pprint import pprint
import matplotlib.pyplot as plt
fig = plt.figure()
data = {}# dict could contains more date, depends from the user input
#d1, d2, d3, are labels
data['d1'] = {1:2,2:
Hello,
I have found
http://matplotlib.sourceforge.net/plot_directive/mpl_examples/pylab_examples/histogram_demo_extended_05.hires.png
http://matplotlib.sourceforge.net/plot_directive/mpl_examples/pylab_examples/histogram_demo_extended.py
How is it possible to the following draw stacked bar charts
On 03/30/2011 05:01 AM, Paul Ivanov wrote:
> Michael Droettboom, on 2011-03-29 10:12, wrote:
>> On 03/29/2011 09:08 AM, xyz wrote:
>>> Hi,
>>> X and Y values are stored in a dict whereas X is the key and Y is the
>>> value in the following code:
>
Hi,
X and Y values are stored in a dict whereas X is the key and Y is the
value in the following code:
import matplotlib.pyplot as plt
data = {4: 3, 5: 4, 6: 5, 7: 4, 8: 5}
print data
for i in sorted(data.keys()):
print i
How is possible to use plot with a dict in order to get a similar
On 30/08/10 23:34, Ryan May wrote:
On Mon, Aug 30, 2010 at 4:44 AM, xyz wrote:
On 30/08/10 03:51, Benjamin Root wrote:
maxy = max(max(y1), max(y2))
maxx = max(x)
ax.set_xlim((0.0, maxx))
ax.set_ylim((0.0, maxy))
Thank you, but unfortunately I have still the same problems:
* plt.text appears
On 30/08/10 03:51, Benjamin Root wrote:
> maxy = max(max(y1), max(y2))
> maxx = max(x)
>
> ax.set_xlim((0.0, maxx))
> ax.set_ylim((0.0, maxy))
Thank you, but unfortunately I have still the same problems:
* plt.text appears outside x and y coordinates
* and the coordinates starts not from 0
with th
On 29/08/10 17:28, Eric Firing wrote:
> On 08/28/2010 06:40 PM, xyz wrote:
>> Hello,
>> If I use autoscale_view than:
>> * plt.text appears outside x and y coordinates
>> * and the coordinates starts do not from 0 whereas I use ax.set_xlim(0)
>> and ax.set_ylim
On 29/08/10 17:28, Eric Firing wrote:
> On 08/28/2010 06:40 PM, xyz wrote:
>
>> Hello,
>> If I use autoscale_view than:
>> * plt.text appears outside x and y coordinates
>> * and the coordinates starts do not from 0 whereas I use ax.set_xlim(0)
>> and a
Hello,
If I use autoscale_view than:
* plt.text appears outside x and y coordinates
* and the coordinates starts do not from 0 whereas I use ax.set_xlim(0)
and ax.set_ylim(0)
What did I wrong?
from pylab import *
import matplotlib.pyplot as plt
x = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14
Hello,
I would like to draw the following triangle:
A
/ \
5 / \ 5
/ \
/ \
BC
4
How is it possible to draw the above triangle with Matplotlib and are
there any examples?
Than you in advance.
--
Hello,
What is the best way to create an automatically optimal size for picture
with figsize?
from pylab import *
import matplotlib.pyplot as plt
x = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19,
20, 21, 22, 23, 24, 25, 26, 27, 28, 29]
y1 = [20, 24, 8, 4, 12, 22, 31, 25, 1
On 26/08/10 01:15, Benjamin Root wrote:
> I believe you are asking why the x axis starts at 2? This is because
> matplotlib will automatically set the limits of your plot to show all
> of your data. If you can control the axes yourself by calling
> set_xlim() and/or set_ylim().
>
> ax.set_xlim
t only provided legend labels for two of
> them. Try:
>
> plt.legend(('Model length', 'Data length', 'Something else'),
> 'best', shadow=True, fancybox=True)
>
>
> Mike
>
> On 08/24/2010 06:33 AM, xyz wrote:
>
>&g
Hello,
the following script creates a legend for only two instead of three
datasets.
---
from pylab import *
import matplotlib.pyplot as plt
fig = plt.figure()
ax = fig.add_subplot(111)
for i in [[2,2], [2,3], [4.2,3.5]]:
print i[0],i[1]
plt.plot(i[0],i[1],'o')
ax.grid(True)
plt.l
On 21/08/10 21:14, Jose Gómez-Dans wrote:
> Use plt.text (x, y, point_labels ) or something along those lines.
>
> Jose
>
With plt.text() the plot line is sometimes covered by the point labels.
Is there any option which recognise a collusion between the line and label?
from pylab import *
i
Hello,
I have the following code:
---
from pylab import *
import matplotlib.pyplot as plt
x = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19,
20, 21, 22, 23, 24, 25, 26, 27, 28, 29]
y = [20, 24, 8, 4, 12, 22, 31, 25,
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