Re: [Matplotlib-users] ValueError: x and y must have same first dimension

[surfcast23 <sur...@gm...>]

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', align='mid',
> orientation='vertical', rwidth=None, log = False, color=None, label=None)
> plt.title("")
> plt.text(25,20,'M < -21.5' '\n' 'N Halos 3877' '\n' 'Length Cell 38.68Mpc'
> '\n' 'N Cells 269' '\n' 'Avg Halo per Cell 14.35 ')
> plt.xlabel("Halos/Cell")
> plt.ylabel("Number Cells with N Halos")
> y = mlab.normpdf( nbins, avg, sigma)
> l = plt.plot(nbins, y, 'r--', linewidth=1)
> plt.show()
> 
> 
> But I am still getting the error. I printed y.shape which gave (216,) so
> does that mean that bins also needs to have 216 as a first dimension?
> Thank you
> 
> Khary
> 
> 
> Daπid wrote:
>> 
>> In the example you provide, bins is returned by the hist command,
>> whereas in your code, bins is a number that you defined as 20. So,
>> change:
>> 
>> bins = 20
>> plt.hist(C, bins, ...
>> 
>> by:
>> 
>> nbins = 20
>> n, bins, patches = plt.hist(C, nbins, ...
>> 
>> 
>> 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[:,3]
>> 
>> Much easier, and way faster.
>> 
>> 
>> Regards,
>> 
>> David.
>> 
>> On Fri, Jul 27, 2012 at 4:13 AM, surfcast23 <sur...@gm...> wrote:
>>>
>>> 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 <module>
>>>     l = plt.plot(bins, y, 'r--', linewidth=1)
>>>   File "/usr/lib/pymodules/python2.7/matplotlib/pyplot.py", line 2467,
>>> in
>>> plot
>>>     ret = ax.plot(*args, **kwargs)
>>>   File "/usr/lib/pymodules/python2.7/matplotlib/axes.py", line 3893, in
>>> plot
>>>     for line in self._get_lines(*args, **kwargs):
>>>   File "/usr/lib/pymodules/python2.7/matplotlib/axes.py", line 322, in
>>> _grab_next_args
>>>     for seg in self._plot_args(remaining, kwargs):
>>>   File "/usr/lib/pymodules/python2.7/matplotlib/axes.py", line 300, in
>>> _plot_args
>>>     x, y = self._xy_from_xy(x, y)
>>>   File "/usr/lib/pymodules/python2.7/matplotlib/axes.py", line 240, in
>>> _xy_from_xy
>>>     raise ValueError("x and y must have same first dimension")
>>> ValueError: x and y must have same first dimension
>>>
>>> My Code
>>>
>>> import matplotlib.pyplot as plt
>>> import math
>>> import numpy as np
>>> import mpl_toolkits.mplot3d.axes3d
>>> import matplotlib.mlab as mlab
>>>
>>> counts = []
>>> F = '/home/Astro/outfiles/outmag21_5dr_38_68.txt'
>>> f = open(F)
>>> for line in f:
>>>  if line != ' ':
>>>     columns = line.split()
>>>     count = columns[3]
>>>     count = int(count)
>>>     counts.append(count)
>>>     C  = np.array(counts, dtype=float)
>>>
>>> avg = sum(C)/len(C)
>>> diff = C-avg
>>> sigma = np.sqrt((1./len(C))*(diff**2))
>>>
>>> bins = 20
>>> plt.hist(C, bins, range=None, normed=False, weights=None,
>>> cumulative=False,
>>> bottom=None, histtype='bar', align='mid', orientation='vertical',
>>> rwidth=None, log = False, color=None, label=None)
>>> plt.title("")
>>> plt.text(25,20,'M < -21.5' '\n' 'N Halos 3877' '\n' 'Length Cell
>>> 38.68Mpc'
>>> '\n' 'N Cells 269' '\n' 'Avg Halo per Cell 14.35 ')
>>> plt.xlabel("Halos/Cell")
>>> plt.ylabel("Number Cells with N Halos")
>>> y = mlab.normpdf( bins, avg, sigma)
>>> print(len(y))
>>> l = plt.plot(bins, y, 'r--', linewidth=1)
>>> plt.show()
>>>
>>>
>>> My first question is do x and y refer to the values in  l =
>>> plt.plot(bins,
>>> y, 'r--', linewidth=1) which for my case are bins and y?
>>> if that is the case how can I get then to be the same first dimension?
>>> --
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>>>
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> 
> 

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