Re: dynamically creating then plotting arrays
per freem wrote:
> hi all,
>
> please disregard the previous email - i had a mistake in my file that
> did not do the casting properly when loading the data.
>
> i managed to plot my data, but this time i am having a problem with the
> 'bar' function.
>
> when i plot using:
>
> x = data[:, 0]
> y = data[:, 1]
> bar(x,y)
>
> i get the attached figure. the bar graphs are way too thin and don't
> look like bar graphs at all. i see in the gallery many examples of bars
> with greater width, e.g.
> http://matplotlib.sourceforge.net/examples/api/histogram_demo.html
>
> but all of these seem to be made using the 'hist' function. i just want
> the bar width to be greater. my setting of the width= does not make a
> difference, it treats:
>
> bar(x,y,width=1.5)
> bar(x,y,width=10)
> etc.
Width is in the same units as x, and it looks like your range of x
values is 1e8, so maybe your width needs to be something like 1e7, not 10.
Eric
>
> as the same, yielding this line plot. if i remove some data points (and
> plot x and y's that are only, say, 3 in length) then the bars look normal.
>
> how can i make the bar widths greater in this case?
>
> On Sun, Mar 1, 2009 at 11:41 AM, per freem <perfreem@...
> <mailto:perfreem@...>> wrote:
>
> hi all,
>
> i am reading a set of tab-separated data from a file and i want to
> put it into an array, and then plot some of the columns. i know the
> number of columns ahead of time but not the number of rows. i load
> the array from the file as follows, which seems to work:
>
> data = []
> for line in myfile:
> field1, field2, field3 = line.strip().split('\t')
> data.append([int(field1), int(field2), int(field3)])
>
> i then convert it into an array as follows:
>
> data = array(data)
>
> i am able to reference the first column as follows:
>
> data[:,0]
>
> but if i try to plot the first column against the second as follows:
>
> bar(data[:,0],data[:,1])
>
> then i get the error:
>
> /usr/lib64/python2.5/site-packages/matplotlib/units.pyc in
> get_converter(self, x)
> 128 converter = self.get(classx)
> 129
> --> 130 if converter is None and iterable(x):
> 131 # if this is anything but an object array, we'll
> assume
> 132 # there are no custom units
>
> [repeated many times]
>
> RuntimeError: maximum recursion depth exceeded
> WARNING: Failure executing file: <myfile.py>
>
> how can i fix this? i'd like an n-by-m representation of my data as
> an array which i can reference like a matrix in matlab. some of the
> columns are floats, other are ints, and others are strings, so i
> prefer to load the data into an array as a loop where i can cast the
> strings appropriately, rather than use some built in io function for
> reading tab-separated data.
>
> thank you very much.
>
>
>
> ------------------------------------------------------------------------
>
>
> ------------------------------------------------------------------------
>
> ------------------------------------------------------------------------------
> Open Source Business Conference (OSBC), March 24-25, 2009, San Francisco, CA
> -OSBC tackles the biggest issue in open source: Open Sourcing the Enterprise
> -Strategies to boost innovation and cut costs with open source participation
> -Receive a $600 discount off the registration fee with the source code: SFAD
> http://p.sf.net/sfu/XcvMzF8H
>
>
> ------------------------------------------------------------------------
>
> _______________________________________________
> Matplotlib-users mailing list
> Matplotlib-users@...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
------------------------------------------------------------------------------
Open Source Business Conference (OSBC), March 24-25, 2009, San Francisco, CA
-OSBC tackles the biggest issue in open source: Open Sourcing the Enterprise
-Strategies to boost innovation and cut costs with open source participation
-Receive a $600 discount off the registration fee with the source code: SFAD
http://p.sf.net/sfu/XcvMzF8H
RSS Feed
