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,
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
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
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.
I am a very lost gnuplot.py refugee. I hung in there as long as I could but
sadly, gnuplotpy does not run on my machine so I managed, somehow to install
new pythons, matplotlib, numpy, etc. and am up and running. Actually now trying
out Canopy, which was even easier than running from the shell
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
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
