Thanks, this worked for two of the columns. For the third column, I get
this error: Sorry to bug you about this. Do you know where I can find the
solution to this problem?

---------------------------------------------------------------------------

TypeError                                 Traceback (most recent call last)

<ipython-input-10-ae5186552dfe> in <module>()

----> 1 plt.hist(df['Confidence'],bins=10)


/Library/Python/2.7/site-packages/matplotlib-1.4.x-py2.7-macosx-10.9-intel.egg/matplotlib/pyplot.pycin
hist(x, bins, range, normed, weights, cumulative, bottom, histtype, align,
orientation, rwidth, log, color, label, stacked, hold, **kwargs)

   2875                       histtype=histtype, align=align, orientation=
orientation,

   2876                       rwidth=rwidth, log=log, color=color, label=
label,

-> 2877                       stacked=stacked, **kwargs)

   2878         draw_if_interactive()

   2879     finally:


/Library/Python/2.7/site-packages/matplotlib-1.4.x-py2.7-macosx-10.9-intel.egg/matplotlib/axes/_axes.pycin
hist(self, x, bins, range, normed, weights, cumulative, bottom, histtype,
align, orientation, rwidth, log, color, label, stacked, **kwargs)

   5477             xmax = -np.inf

   5478             for xi in x:

-> 5479                 if len(xi) > 0:

   5480                     xmin = min(xmin, xi.min())

   5481                     xmax = max(xmax, xi.max())


TypeError: len() of unsized object


On Fri, Feb 28, 2014 at 2:42 PM, Paul Hobson-2 [via matplotlib] <
ml-node+s1069221n42942...@n5.nabble.com> wrote:

> Sounds like you want to use pandas, not numpy.
>
> import pandas
> import matplotlib.pyplot as plt
> df = pandas.read_csv('myfile.txt', sep='\t')
> plt.hist(data['A'], bins=30)
>
> ...should do it for you.
>
>
>  On Fri, Feb 28, 2014 at 11:06 AM, AR12 <[hidden 
> email]<http://user/SendEmail.jtp?type=node&node=42942&i=0>
> > wrote:
>
>> Hi,
>>
>> I have a csv file where head -5 looks like this:
>>
>> A  B   C
>> 100  0.45  0.3
>> 67  0.25  0.4
>> 50.6  0.2  0.6
>> 56.4  0.4  0.3
>>
>> The columns are tab separated. I want to load this CSV file and plot the
>> histogram of the third or second column. I was able to load the csv file
>> using this:
>> data=csv2rec('Downloads/Sample.txt',delimiter='\t',skiprows=0)
>> The file has 2792 rows including the top header row.
>>
>> When I do
>> >> data['A'] I get this error:
>>
>> ---------------------------------------------------------------------------
>> ValueError                                Traceback (most recent call
>> last)
>> <ipython-input-19-856828b8eaa3> in <module>()
>> ----> 1 data['A']
>>
>>
>> /Library/Python/2.7/site-packages/numpy-1.9.0.dev_297f54b-py2.7-macosx-10.9-intel.egg/numpy/core/records.pyc
>> in __getitem__(self, indx)
>>     457
>>     458     def __getitem__(self, indx):
>> --> 459         obj = ndarray.__getitem__(self, indx)
>>     460         if (isinstance(obj, ndarray) and obj.dtype.isbuiltin):
>>     461             return obj.view(ndarray)
>>
>> ValueError: field named A not found
>>
>> First is data['A'] supposed to read the whole A column? Once I read the
>> column I want to be able to plot it. Can I simply do
>> >> hist(data['A'],bins=30) or something like that.
>>
>> Many thanks,
>> AR
>>
>>
>>
>>
>> --
>> View this message in context:
>> http://matplotlib.1069221.n5.nabble.com/Loding-CSV-file-and-plotting-histogram-of-a-particular-column-tp42938.html
>> Sent from the matplotlib - users mailing list archive at Nabble.com.
>>
>>
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-- 
Aarthi Reddy
408-603-1385




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Network behavioral analysis & security monitoring. All-in-one tool.
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