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
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