[Matplotlib-users] Plotting from a data file

[Thomas Caswell]

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-users at python.org.

Tom

On Fri, Aug 14, 2015 at 1:39 PM Anthony Rollett <rollett at 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 <kp8 at 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 <ianalis at 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()
> >>
> >
> >
> >
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