Hi All,
I would like to know if there is a way to have the bin sizes change by
integer values. For example the bin size would be
10-20
20-30
not
10.3-20.5
20.3-30.5
and have it adjust as the number of bins changes.
Thanks
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Gotcha ya working perfectly now thank you for the help!
Benjamin Root-2 wrote:
>
> On Thursday, August 2, 2012, surfcast23 wrote:
>
>>
>> Wouldn't
>>
>> X= np.ones((1, 45))
>> Y= np.zeros((32, 1))
>>
>> change the existing valu
I tested it out and it does change all the values to ones and zeros. Is there
a way to broadcast and keep the original values that were in the arrays?
Thanks for the help
Benjamin Root-2 wrote:
>
> On Thursday, August 2, 2012, surfcast23 wrote:
>
>>
>> Okay thank you!
sorry misssed this line "Which produces x and y with the same shapes, and
their values duplicated in
the direction the array was "expanded"."
surfcast23 wrote:
>
> Wouldn't
>
> X= np.ones((1, 45))
> Y= np.zeros((32, 1))
>
> change the exi
Wouldn't
X= np.ones((1, 45))
Y= np.zeros((32, 1))
change the existing values of the elements to ones and zeros?
Benjamin Root-2 wrote:
>
> On Thursday, August 2, 2012, surfcast23 wrote:
>
>>
>> Okay thank you! The Matlab code I am basing this on takes arrays of
&
?
Benjamin Root-2 wrote:
>
> On Thursday, August 2, 2012, surfcast23 wrote:
>
>>
>>
>>
>> surfcast23 wrote:
>> >
>> > In the documentation it says that Axes3D.plot_wireframe(X, Y, Z, *args,
>> > **kwargs) takes 2D arrays as the first two
surfcast23 wrote:
>
> In the documentation it says that Axes3D.plot_wireframe(X, Y, Z, *args,
> **kwargs) takes 2D arrays as the first two arguments. Do the arrays have
> to have the same size dimensions?
>
>
Any one know?
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In the documentation it says that Axes3D.plot_wireframe(X, Y, Z, *args,
**kwargs) takes 2D arrays as the first two arguments. Do the arrays have to
have the same size dimensions?
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I also got the dimensions of the arrays and was wandering if the problem
might be there
shape data = (101, 512)
shape v = (512, 512)
shape tdata = (101, 1)
shape x = (512,)
Benjamin Root-2 wrote:
>
> On Sun, Jul 1, 2012 at 12:50 PM, surfcast23 wrote:
>
>>
>> Hi,
&g
[0,:]
tdata = vstack([tdata, t])
But I still get the same error as in my original post.
Khary
surfcast23 wrote:
>
> I will try initializing starting at 0
>
> Benjamin Root-2 wrote:
>>
>> On Sun, Jul 1, 2012 at 12:50 PM, surfcast23 wrote:
>>
>>>
Thank you for the help!
Daπid wrote:
>
> On Sat, Jul 28, 2012 at 12:22 AM, surfcast23 wrote:
>> Am I reading (bins[1]-bins[0]) correctly as taking the difference
>> between
>> what is in the second and first bin?
>
> Yes. I am multipliying the width of
ts values to make both
> areas fit:
>
> plt.plot(bins, N* N*(bins[1]-bins[0])**y, 'r--', linewidth=1)
>
>
> And you will get a nice gaussian fitting your data.
>
> On Fri, Jul 27, 2012 at 11:12 PM, surfcast23 wrote:
>>
>> Thanks for catching that
:57 PM, surfcast23 wrote:
>> y = mlab.normpdf( nbins, avg, sigma)
>> l = plt.plot(nbins, y, 'r--', linewidth=1)
>> plt.show()
>
> You should not change bins there, as you are evaluating the gaussian
> function at different values.
>
> Also, sigma is
Just tried it with nbins set to 216 and I still get the error
surfcast23 wrote:
>
> Hi David,
>
>I tried your fix
> nbins = 20
> n, bins, patches = plt.hist(C, nbins, range=None, normed=False,
> weights=None, cumulative=False, bottom=None, histtype='bar&#x
;
> As a side comment, your data loading is too complex, and fail prone. I
> suggest you to have a look at the numpy function for that, loadfromtxt
> or (I like it more), genfromtxt. It would be something like:
>
> data=np.genfromtxt(F, delimiter=' ')
> C=data[:,
Hi
I have a code to plot a histogram and I am trying to add a best fit line
following this example
http://matplotlib.sourceforge.net/examples/pylab_examples/histogram_demo.html
but run into this error
Traceback (most recent call last):
File "/home/Astro/count_Histogram.py", line 54, in
I will try initializing starting at 0
Benjamin Root-2 wrote:
>
> On Sun, Jul 1, 2012 at 12:50 PM, surfcast23 wrote:
>
>>
>> Hi,
>> I am translating a Matlab code to python and get the following error
>> when
>> the codes reaches the plotting sect
Hi,
I am translating a Matlab code to python and get the following error when
the codes reaches the plotting section
Warning (from warnings module):
File "C:\Documents and Settings\My Documents\PHYSICS\Wave-eqn.py", line 40
w = (D*v)
RuntimeWarning: overflow encountered in multiply
Trace
Thanks Ben I will check it out
Benjamin Root-2 wrote:
>
> Khary,
>
> On Sun, Jun 10, 2012 at 3:30 PM, surfcast23 wrote:
>
>>
>> to matplotlib-use.
>> Hi,
>>
>> I have a data set that is composed of x,y,z coordinates of the center of
>> ce
to matplotlib-use.
Hi,
I have a data set that is composed of x,y,z coordinates of the center of
cells and counts of objects in each contained in cell. I am using the
following code to do a scatter plot of the counts per cell.
ax = fig.add_subplot(111, projection='3d')
ax.scatter(Xa, Ya, Za, z
Hi I wrote the following script, but it hangs right after plt.show(). I would
really appreciate it if someone could take a look and let me know where I'm
messing up. Thanks in advance
from numpy import *
import matplotlib.pyplot as plt
#H=p^2/2-cosq
#p=dp=-dH/dq
#q=dq=dH/dp
t = 0
h = 0.5
pfa =
Benjamin Root-2 wrote:
>
> On Tue, Sep 6, 2011 at 12:01 PM, surfcast23 wrote:
>
>>
>> Thanks for everyone responses and help
>>
>> Che,
>>
>> You are correct on what I have to do. The problem is that I have a data
>> set
>> with ~1250
istogram, because he is not plotting
> frequency of observations on the y axis, but data values (means of
> each bin). I think what surfcast23 wants is just a bar graph.
>
> So, surfcast23, I'd suggest you break it down into your two steps.
> First, how will you average your values by
scribe what you want to do? So you now want a histogram?
>
>
> surfcast23 wrote:
>>
>> Sorry everyone I totally missed something very important. What I need to
>> do is first bin the masses(which I don't know how to do).
>>
>> Chelonian wrote:
>
Sorry everyone I totally missed something very important. What I need to do
is first bin the masses(which I don't know how to do).
Chelonian wrote:
>
> On Thu, Aug 25, 2011 at 10:01 PM, surfcast23 wrote:
>>
>> Hi,
>>
>> there is only one column. so I wa
ves you what I think you said, but really don't think this is what
> you mean as it seems a strange thing to want to do.
>
> sorry i couldn't be of more help
>
>
> surfcast23 wrote:
>>
>> Hi,
>>
>>there is only one column. so I want a plot
each column the average? and
> you want to plot each of these averages? So a bar graph? with 8 bars?
>
>
>
> surfcast23 wrote:
>>
>> Hi,
>>
>>I apologize if my explanation was less than clear. What I have is data
>> in a column that runs from
> mass_sum = np.cumsum(mass)
> mass_average = mass_sum/ np.arange(1, len(mass_sum) + 1)
> # If you only plot one array or list of values, they are assumed to be the
> y
> values.
> # The x values in that case are the indices of the y value array.
> plt.plot(mass_average)
&
Hi,
I apologize if my explanation was less than clear. What I have is data in
a column that runs from row 1 to row 1268. In each each row there is a
number. For example
1
3
5
6
7
8
9
so I want the y axis to run from 1 to 7 ( the number of rows) and the x
axis to be the average of the values
Hi Martin,
Thank for the relpy. What I have is a script that reads the data from
a large file then prints out the values listed in a particular column. What
I now need to do is have the information in that column plotted as the
number of rows vs. the mean value of all of the rows. What I ha
want. However,
> if you are really that new to programming, you may struggle, so I'd
> suggest reading first going to scipy.org and reading up on numpy. When
> you understand the basics of numpy, matplotlib's documentation should
> make a lot more sense.
>
> Gary
>
I am fairly new to programing and have a question regarding matplotlib. I
wrote a python script that reads in data from the outfile of another program
then prints out the data from one column.
f = open( 'myfile.txt','r')
for line in f:
if line != ' ':
line = line.strip() # Strips end of li
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