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 <[email protected]> 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 <[email protected]> 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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