Re: [Matplotlib-users] Plotting from a data file

2015-08-14 Thread 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 [email protected].

Tom

On Fri, Aug 14, 2015 at 1:39 PM Anthony Rollett 
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  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  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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> > https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>
>
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Re: [Matplotlib-users] Plotting from a data file

2015-08-14 Thread Anthony Rollett
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  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  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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Re: [Matplotlib-users] Plotting from a data file

2015-08-14 Thread Kevin Parks
That does help. But then that means I need to reformat my data somehow? I want 
it so that each “voice” is plotted separately as a unique color and my legend 
would be 

Voice 1 -
Voice 2 -
Voice 3 -
Voice 4 -

Just as if I had the temperature for four different days plotted.

confused




> On Aug 15, 2015, at 2:14 AM, Benjamin Root  wrote:
> 
> All "cbook.get_sample_data(..., asfileobj=False)" does is returns the full 
> filename path to a given file stored in our package for demonstration 
> purposes. You can ignore that entirely. Just say "fname = 'foobar.csv'" and 
> have your own csv file called "foobar.csv" sitting in your current working 
> directory. "plotfile()" works by reading in a CSV file and plotting the 
> columns given. So, the CSV file will need in its first line those column 
> headers. The first one given will be for the x-axis, while the rest are for 
> the individual lines.
> 
> Does that help?
> Ben Root
> 


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Re: [Matplotlib-users] Plotting from a data file

2015-08-14 Thread Christian Alis
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  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  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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> [email protected]
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users

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Re: [Matplotlib-users] Plotting from a data file

2015-08-14 Thread Benjamin Root
All "cbook.get_sample_data(..., asfileobj=False)" does is returns the full
filename path to a given file stored in our package for demonstration
purposes. You can ignore that entirely. Just say "fname = 'foobar.csv'" and
have your own csv file called "foobar.csv" sitting in your current working
directory. "plotfile()" works by reading in a CSV file and plotting the
columns given. So, the CSV file will need in its first line those column
headers. The first one given will be for the x-axis, while the rest are for
the individual lines.

Does that help?
Ben Root


On Fri, Aug 14, 2015 at 1:05 PM, Kevin Parks  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  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
> [email protected]
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
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Re: [Matplotlib-users] Plotting from a data file

2015-08-14 Thread Kevin Parks
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  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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