[SciPy-user] io.read_array with strings

Vincent Nijs v-nijs@kellogg.northwestern....
Thu Feb 22 14:45:26 CST 2007


You could read-in the array using python's csv module. This will return an
array of strings. Then loop through each column and convert to an
appropriate type using something like:

def csvconvert(col):
        return col.astype('i')
    except ValueError:
            return col.astype('f')
        except ValueError:
            return col

The issue is how to store the returned columns. A normal array can, as far
as I know, only hold one data type. You could use a recarray or store the
data in a dictionary.

I have used both approaches in a data base class I posted on the cookbook



On 2/22/07 12:51 PM, "Charles-Antoine Robelin" <car@melix.org> wrote:

> I have been using io.read_array successfully to read ASCII
> files containing integers and floats, and I would like to
> import strings into arrays as well.
> I tried with io.read_array, but did not get it to work:
> If I create an array manually (i.e., numpy.array([['a1',
> 'd3', 'gg'],['wq', 'ty', 'e']])), the type (dtype) of its
> elements is '|S4', so I suspect numpy.arrays can handle
> strings.
> However, io.read_array(<filename>, separator=',') on the
> following file:
> a1, d3, gg
> wq, ty, e
> returns an array of floats with the correct shape,
> containing the numbers it could find (a1 -> 1.; d3 -> 3.)
> and 0. where no number could be found.
> I could not find how to force the type "strings," such as
> atype='<strings>' in the call of read_array.
> Is importing strings possible with io.read_array, or with
> another function, without having to parse manually?
> Thanks in advance.
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