Re: [Matplotlib-users] Dates interpretation on csv2rec

> Dear all,
>
> I have a CSV file with the first column with timestamps:
>
> 0:00:00 01/01/2007,       0.000,     10,       0.000,     10,
> 0.000,     10:
> 00:00:00 02/01/2007,       0.000,     10,       0.000,     10,
> 0.000,     10
> 00:00:00 03/01/2007,       0.000,     10,       0.000,     10,
> 0.000,     10
> ...
> 00:00:00 29/12/2009,       0.000,     10,       0.000,     10,
> 0.000,     10
> 00:00:00 30/12/2009,       0.000,     10,       0.000,     10,
> 0.000,     10
> 00:00:00 31/12/2009,       0.000,     10,       0.000,     10,
> 0.000,     10
>
> As you can see, the format is hour:minute:second (nor relevant, always
> 00) day/month/year.
>
> When loaded with mlab.csv2rec, it automatically detects them as dates
> and creates datetime objects, but it is not consistent with the
> interpretation of the dates. When the day is < 13, it interprets it as
> month/day/year. It's loaded correctly otherwise (as day/month/year). I
> could pre-process the files and change the dates format, but imho it's
> not very elegant. Any suggestion about how to address this issue?
>
> Regards,
> Sergi

You could use numpy.genfromtxt together with its `converters` parameter:

    converters : variable, optional
        The set of functions that convert the data of a column to a value.
        The converters can also be used to provide a default value
        for missing data: ``converters = {3: lambda s: float(s or 0)}``.

Cheers,
A.