Aarthi,
For me to help further, you will need to provide a sample input file, and the
script you are trying to use to read that input file. Then I can go from there.
-Sterling
On Feb 28, 2014, at 1:38PM, Aarthi Reddy wrote:
> It is not an uppercase problem. The other two titles had combination of upper
> and lower case. All columns have the exact same number of lines and there are
> no empty entries.
>
> On Feb 28, 2014, at 3:31 PM, Sterling Smith <smit...@fusion.gat.com> wrote:
>
>> You have an uppercase 'Confidence'. Are you using pandas or numpy? For
>> numpy, from Piet's email, you need a lowercase key. What does
>> `print df['Confidence'].shape`
>> yield? Because the error looks like you have an array with no size (zero
>> dimensions), so perhaps you are still not reading in your file correctly.
>>
>> -Sterling
>>
>> On Feb 28, 2014, at 1:02PM, AR12 wrote:
>>
>>> 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.pyc
>>> in 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.pyc
>>> in 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] <[hidden
>>> email]> 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]> 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
>>>
>>>
>>>
>>>
>>> --
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>>>
>>> --
>>> Aarthi Reddy
>>> 408-603-1385
>>>
>>> View this message in context: Re: Loding CSV file and plotting histogram of
>>> a particular column
>>> Sent from the matplotlib - users mailing list archive at Nabble.com.
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