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authorVille Skyttä <ville.skytta@iki.fi>2017-05-09 12:16:14 +0300
committerVille Skyttä <ville.skytta@iki.fi>2017-05-09 12:16:14 +0300
commitef5684564e3074daf614846f30bfdd7f15f5254f (patch)
tree1b604adcf75bec0009c27d340e6ede2adb03b2ec /numpy/lib
parent23b0cf3a5925dbc1f0503fbdacdf8088372f4ab5 (diff)
downloadnumpy-ef5684564e3074daf614846f30bfdd7f15f5254f.tar.gz
ENH: Spelling fixes
Diffstat (limited to 'numpy/lib')
-rw-r--r--numpy/lib/_datasource.py2
-rw-r--r--numpy/lib/function_base.py2
-rw-r--r--numpy/lib/index_tricks.py2
-rw-r--r--numpy/lib/info.py2
-rw-r--r--numpy/lib/shape_base.py2
-rw-r--r--numpy/lib/tests/test_function_base.py4
-rw-r--r--numpy/lib/tests/test_stride_tricks.py2
-rw-r--r--numpy/lib/utils.py2
8 files changed, 9 insertions, 9 deletions
diff --git a/numpy/lib/_datasource.py b/numpy/lib/_datasource.py
index c528de608..3affc5195 100644
--- a/numpy/lib/_datasource.py
+++ b/numpy/lib/_datasource.py
@@ -43,7 +43,7 @@ _open = open
# Using a class instead of a module-level dictionary
-# to reduce the inital 'import numpy' overhead by
+# to reduce the initial 'import numpy' overhead by
# deferring the import of bz2 and gzip until needed
# TODO: .zip support, .tar support?
diff --git a/numpy/lib/function_base.py b/numpy/lib/function_base.py
index 3c39d1a7b..8ee6a54dd 100644
--- a/numpy/lib/function_base.py
+++ b/numpy/lib/function_base.py
@@ -1607,7 +1607,7 @@ def gradient(f, *varargs, **kwargs):
Notes
-----
- Assuming that :math:`f\\in C^{3}` (i.e., :math:`f` has at least 3 continous
+ Assuming that :math:`f\\in C^{3}` (i.e., :math:`f` has at least 3 continuous
derivatives) and let be :math:`h_{*}` a non homogeneous stepsize, the
spacing the finite difference coefficients are computed by minimising
the consistency error :math:`\\eta_{i}`:
diff --git a/numpy/lib/index_tricks.py b/numpy/lib/index_tricks.py
index dc8eb1c4a..003774ce2 100644
--- a/numpy/lib/index_tricks.py
+++ b/numpy/lib/index_tricks.py
@@ -254,7 +254,7 @@ class AxisConcatenator(object):
if not isinstance(key, tuple):
key = (key,)
- # copy attributes, since they can be overriden in the first argument
+ # copy attributes, since they can be overridden in the first argument
trans1d = self.trans1d
ndmin = self.ndmin
matrix = self.matrix
diff --git a/numpy/lib/info.py b/numpy/lib/info.py
index e00406407..8815a52f0 100644
--- a/numpy/lib/info.py
+++ b/numpy/lib/info.py
@@ -103,7 +103,7 @@ roots Find roots of polynomial given coefficients
polyint Integrate polynomial
polyder Differentiate polynomial
polyadd Add polynomials
-polysub Substract polynomials
+polysub Subtract polynomials
polymul Multiply polynomials
polydiv Divide polynomials
polyval Evaluate polynomial at given argument
diff --git a/numpy/lib/shape_base.py b/numpy/lib/shape_base.py
index 588047952..830943e72 100644
--- a/numpy/lib/shape_base.py
+++ b/numpy/lib/shape_base.py
@@ -186,7 +186,7 @@ def apply_over_axes(func, a, axes):
Notes
------
This function is equivalent to tuple axis arguments to reorderable ufuncs
- with keepdims=True. Tuple axis arguments to ufuncs have been availabe since
+ with keepdims=True. Tuple axis arguments to ufuncs have been available since
version 1.7.0.
Examples
diff --git a/numpy/lib/tests/test_function_base.py b/numpy/lib/tests/test_function_base.py
index 7c07606f6..4f21e261f 100644
--- a/numpy/lib/tests/test_function_base.py
+++ b/numpy/lib/tests/test_function_base.py
@@ -2787,7 +2787,7 @@ class TestPercentile(TestCase):
interpolation="higher").shape, (3, 3, 5, 6))
def test_scalar_q(self):
- # test for no empty dimensions for compatiblity with old percentile
+ # test for no empty dimensions for compatibility with old percentile
x = np.arange(12).reshape(3, 4)
assert_equal(np.percentile(x, 50), 5.5)
self.assertTrue(np.isscalar(np.percentile(x, 50)))
@@ -2808,7 +2808,7 @@ class TestPercentile(TestCase):
assert_equal(np.percentile(x, 50, axis=1, out=out), r1)
assert_equal(out, r1)
- # test for no empty dimensions for compatiblity with old percentile
+ # test for no empty dimensions for compatibility with old percentile
x = np.arange(12).reshape(3, 4)
assert_equal(np.percentile(x, 50, interpolation='lower'), 5.)
self.assertTrue(np.isscalar(np.percentile(x, 50)))
diff --git a/numpy/lib/tests/test_stride_tricks.py b/numpy/lib/tests/test_stride_tricks.py
index 39a76c2f6..7dc3c4d24 100644
--- a/numpy/lib/tests/test_stride_tricks.py
+++ b/numpy/lib/tests/test_stride_tricks.py
@@ -407,7 +407,7 @@ def test_writeable():
_, result = broadcast_arrays(0, original)
assert_equal(result.flags.writeable, False)
- # regresssion test for GH6491
+ # regression test for GH6491
shape = (2,)
strides = [0]
tricky_array = as_strided(np.array(0), shape, strides)
diff --git a/numpy/lib/utils.py b/numpy/lib/utils.py
index 61aa5e33b..fad159c7e 100644
--- a/numpy/lib/utils.py
+++ b/numpy/lib/utils.py
@@ -339,7 +339,7 @@ def who(vardict=None):
#-----------------------------------------------------------------------------
-# NOTE: pydoc defines a help function which works simliarly to this
+# NOTE: pydoc defines a help function which works similarly to this
# except it uses a pager to take over the screen.
# combine name and arguments and split to multiple lines of width