If you are trying to read a CSV file, I strongly suspect using pandas for ingesting them.
http://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_csv.html Also, please use the new mailing list at matplotlib-us...@python.org. Tom On Fri, Aug 14, 2015 at 1:39 PM Anthony Rollett <roll...@andrew.cmu.edu> wrote: > Maybe using “genfromtxt" is simpler as a way to get going, see below for a > fragment of script? It should be able to read a CSV file since it’s just a > comma delimited text file. You might need to look up how to set the > delimiter character. > regards > Tony Rollet > > > #!/usr/bin/env python > > """ > > simple line/scatter plot. > > """ > > import matplotlib > > import numpy as np > > import matplotlib.cm as cm > > import matplotlib.mlab as mlab > > import matplotlib.pyplot as plt > > from numpy import * > > import scipy.interpolate > > > > isosphere = genfromtxt("KAM_test_5Oct14strs_strn.txt", names=True ) > > > > On Aug 14, 2015, at 12:05 PM, Kevin Parks <k...@me.com> wrote: > > > Hi, > > > > That doesn’t work. Just having my own msft.csv file in my directory > doesn't change anything as it is still pointing to some other msft.csv > someplace on my computron. (what and where is this file?) > > > > I also have never opened a file this way. I had prevously just used > something like: > > > > for l in open(filename).readlines(): > > l = l.strip().split() > > data.append([float(l[0]), float(l[1]), float(l[2]), int(l[3])]) > > > > values = [1,2,3,4] > > > > - > > > > I think ithis is just some example file that gets installed some place > so that the examples work? > > > > What does asfileobj=False do? > > > > Goodness the whole world of Python has radically changed in the short > time I have been out of the game. > > > > > > > >> On Aug 15, 2015, at 1:50 AM, Christian Alis <iana...@gmail.com> wrote: > >> > >> The sample code reads data from msft.csv. If you enter your data into > >> a text editor and save it as msft.csv in python's current working > >> directory, then the following minimal code (pruned from plotfile_demo) > >> should work: > >> > >> from pylab import plotfile, show, gca > >> import matplotlib.cbook as cbook > >> > >> fname = cbook.get_sample_data('msft.csv', asfileobj=False) > >> > >> #test 5; single subplot > >> plotfile(fname, ('date', 'open', 'high', 'low', 'close'), > subplots=False) > >> > >> show() > >> > > > > > > > ------------------------------------------------------------------------------ > > _______________________________________________ > > Matplotlib-users mailing list > > Matplotlib-users@lists.sourceforge.net > > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > > > > ------------------------------------------------------------------------------ > _______________________________________________ > Matplotlib-users mailing list > Matplotlib-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-users >
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