Actually, there's even faster than that: a = 3 a = array(a, ndmin=1)
atleast_1d is nothing but a wrapper function, that works best when used with several inputs. When using only one array as inputs, the trick above should be more appropriate. On 3/30/07, Bill Baxter <[EMAIL PROTECTED]> wrote:
atleast_1d will do the trick In [11]: a = 3 In [12]: a = atleast_1d(a) In [13]: shape(a) Out[13]: (1,) In [14]: a.shape # also works ;-) Out[14]: (1,) In [15]: a[0] Out[15]: 3 --bb On 3/30/07, Mark Bakker <[EMAIL PROTECTED]> wrote: > Hello list - > > I have a function that normally accepts an array as input, but sometimes a > scalar. > I figured the easiest way to make sure the input is an array, is to make it > an array. > But if I make a float an array, it has 0 dimension, and I can still not do > array manipulation on it. > > >>> a = 3 > >>> a = array(a) > >>> shape(a) > () > >>> a[0] > Traceback (most recent call last): > File "<pyshell#121>", line 1, in ? > a[0] > IndexError: 0-d arrays can't be indexed > > What would be the best (and easiest, this is for an intro class I am > teaching) way > to convert a to an array (recall, most of the time a is already an array). > > Thanks for your help, Mark > > > > _______________________________________________ > Numpy-discussion mailing list > Numpy-discussion@scipy.org > http://projects.scipy.org/mailman/listinfo/numpy-discussion > > _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
_______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
