>>>>> "mostro" == mostro <Ad******@gmail.com> writes:
mostro> Hello, Can someone lead me to an easy way to create a
mostro> graph in Python.
mostro> For example, I have a script running that creates a list
mostro> of dates, times and values. I would like to turn this into
mostro> a graph.
mostro> I can grep the info into a new file creating two columns
mostro> (x,y) but the issue is the graph.
mostro> P.S. I'm a Python newbie so keep that in mind.
Here's an example from the matplotlib examples dir
http://matplotlib.sf.net/examples
that does just that. It loads dates and values from a file using the
load function, and then plots them with the plot_date command
The delimiter directive in the load command says to use comma
separated values. The converters arg is a dictionary mapping column
number to a function that converts that column to a float (datestr2num
converts date strings to matplotlib dates using the wonderful
dateutil.parser.parse function that can convert just about any date
string -- the default column converter is 'float'). skiprows
indicates that there is a single line of header to convert, and
usecols says to take the first and third columns.
The rest is easy -- just call plot_dates:
from pylab import figure, show, datestr2num, load
dates, closes = load(
'data/msft.csv', delimiter=',',
converters={0:datestr2num}, skiprows=1, usecols=(0,2),
unpack=True)
fig = figure()
ax = fig.add_subplot(111)
ax.plot_date(dates, closes)
show()
Here is a brief look at the data file being plotted:
Date,Open,High,Low,Close,Volume,Adj. Close*
19-Sep-03,29.76,29.97,29.52,29.96,92433800,29.79
18-Sep-03,28.49,29.51,28.42,29.50,67268096,29.34
17-Sep-03,28.76,28.95,28.47,28.50,47221600,28.34
16-Sep-03,28.41,28.95,28.32,28.90,52060600,28.74
15-Sep-03,28.37,28.61,28.33,28.36,41432300,28.20
..... and many more
JDH
