According to
http://matplotlib.org/1.4.3/api/cbook_api.html#matplotlib.cbook.get_sample_data,
msft.csv should be located at the mpl-data/sample_data directory.
In that case, save the following as sample.csv on the current directory:
event_start_time, event_duration, frequency_value, voice
0.0, 2.5, 60, 1
2.0, 1.5, 62, 4
4.0, 5.0, 64, 2
6.0, 3.5, 65, 3
8.0, 1.5, 67, 1
10.0, 2.0, 69, 4
12.0, 5.5, 71, 3
14.0, 3.0, 70, 2
16.0, 2.0, 72, 1
18.0, 1.0, 74, 4
20.0, 0.5, 75, 3
22.0, 1.5, 77, 2
24.0, 0.5, 79, 1
Then run the following code:
from pylab import plotfile, show, gca
#test 5; single subplot
plotfile('sample.csv', ('event_start_time', 'event_duration',
'frequency_value', 'voice'), subplots=False)
show()
Regards,
Christian
On Fri, Aug 14, 2015 at 6:05 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()
>>
>
>
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