diff options
Diffstat (limited to 'numpy/lib/function_base.py')
| -rw-r--r-- | numpy/lib/function_base.py | 14 |
1 files changed, 7 insertions, 7 deletions
diff --git a/numpy/lib/function_base.py b/numpy/lib/function_base.py index 5d3e75036..8f08a73a4 100644 --- a/numpy/lib/function_base.py +++ b/numpy/lib/function_base.py @@ -143,7 +143,7 @@ def histogramdd(sample, bins=10, range=None, normed=False): H, edges = histogramdd(x, bins = (5, 6, 7)) See also: histogram - + """ try: @@ -264,7 +264,7 @@ def average(a, axis=None, weights=None, returned=False): Raises ZeroDivisionError if appropriate. (The version in MA does not -- it returns masked values). - + """ if axis is None: a = array(a).ravel() @@ -403,7 +403,7 @@ def select(condlist, choicelist, default=0): Note that one of the condition arrays must be large enough to handle the largest array in the choice list. - + """ n = len(condlist) n2 = len(choicelist) @@ -456,7 +456,7 @@ def gradient(f, *varargs): N arrays of the same shape as f giving the derivative of f with respect to each dimension. - + """ N = len(f.shape) # number of dimensions n = len(varargs) @@ -641,7 +641,7 @@ def trim_zeros(filt, trim='fb'): >>> a = array((0, 0, 0, 1, 2, 3, 2, 1, 0)) >>> numpy.trim_zeros(a) array([1, 2, 3, 2, 1]) - + """ first = 0 trim = trim.upper() @@ -666,7 +666,7 @@ def unique(x): Example: >>> unique([5,2,4,0,4,4,2,2,1]) array([0, 1, 2, 4, 5]) - + """ try: tmp = x.flatten() @@ -692,7 +692,7 @@ def place(arr, mask, vals): """Similar to putmask arr[mask] = vals but the 1D array vals has the same number of elements as the non-zero values of mask. Inverse of extract. - + """ return _insert(arr, mask, vals) |