diff options
Diffstat (limited to 'numpy/lib')
| -rw-r--r-- | numpy/lib/arraypad.py | 9 | ||||
| -rw-r--r-- | numpy/lib/npyio.py | 24 | ||||
| -rw-r--r-- | numpy/lib/tests/test_arraypad.py | 23 | ||||
| -rw-r--r-- | numpy/lib/tests/test_io.py | 4 |
4 files changed, 53 insertions, 7 deletions
diff --git a/numpy/lib/arraypad.py b/numpy/lib/arraypad.py index f08d425d6..62330e692 100644 --- a/numpy/lib/arraypad.py +++ b/numpy/lib/arraypad.py @@ -323,6 +323,12 @@ def _get_stats(padded, axis, width_pair, length_pair, stat_func): if right_length is None or max_length < right_length: right_length = max_length + if (left_length == 0 or right_length == 0) \ + and stat_func in {np.amax, np.amin}: + # amax and amin can't operate on an emtpy array, + # raise a more descriptive warning here instead of the default one + raise ValueError("stat_length of 0 yields no value for padding") + # Calculate statistic for the left side left_slice = _slice_at_axis( slice(left_index, left_index + left_length), axis) @@ -340,6 +346,7 @@ def _get_stats(padded, axis, width_pair, length_pair, stat_func): right_chunk = padded[right_slice] right_stat = stat_func(right_chunk, axis=axis, keepdims=True) _round_if_needed(right_stat, padded.dtype) + return left_stat, right_stat @@ -835,7 +842,7 @@ def pad(array, pad_width, mode='constant', **kwargs): raise ValueError("unsupported keyword arguments for mode '{}': {}" .format(mode, unsupported_kwargs)) - stat_functions = {"maximum": np.max, "minimum": np.min, + stat_functions = {"maximum": np.amax, "minimum": np.amin, "mean": np.mean, "median": np.median} # Create array with final shape and original values diff --git a/numpy/lib/npyio.py b/numpy/lib/npyio.py index b9dc444f8..c45622edd 100644 --- a/numpy/lib/npyio.py +++ b/numpy/lib/npyio.py @@ -506,7 +506,9 @@ def save(file, arr, allow_pickle=True, fix_imports=True): Notes ----- For a description of the ``.npy`` format, see :py:mod:`numpy.lib.format`. - + + Any data saved to the file is appended to the end of the file. + Examples -------- >>> from tempfile import TemporaryFile @@ -519,6 +521,15 @@ def save(file, arr, allow_pickle=True, fix_imports=True): >>> np.load(outfile) array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9]) + + >>> with open('test.npy', 'wb') as f: + ... np.save(f, np.array([1, 2])) + ... np.save(f, np.array([1, 3])) + >>> with open('test.npy', 'rb') as f: + ... a = np.load(f) + ... b = np.load(f) + >>> print(a, b) + # [1 2] [1 3] """ own_fid = False if hasattr(file, 'write'): @@ -1776,12 +1787,13 @@ def genfromtxt(fname, dtype=float, comments='#', delimiter=None, replace_space=replace_space) # Skip the first `skip_header` rows - for i in range(skip_header): - next(fhd) - - # Keep on until we find the first valid values - first_values = None try: + for i in range(skip_header): + next(fhd) + + # Keep on until we find the first valid values + first_values = None + while not first_values: first_line = _decode_line(next(fhd), encoding) if (names is True) and (comments is not None): diff --git a/numpy/lib/tests/test_arraypad.py b/numpy/lib/tests/test_arraypad.py index b7630cdcd..b6dd3b31c 100644 --- a/numpy/lib/tests/test_arraypad.py +++ b/numpy/lib/tests/test_arraypad.py @@ -469,6 +469,29 @@ class TestStatistic(object): ) assert_array_equal(a, b) + @pytest.mark.filterwarnings("ignore:Mean of empty slice:RuntimeWarning") + @pytest.mark.filterwarnings( + "ignore:invalid value encountered in (true_divide|double_scalars):" + "RuntimeWarning" + ) + @pytest.mark.parametrize("mode", ["mean", "median"]) + def test_zero_stat_length_valid(self, mode): + arr = np.pad([1., 2.], (1, 2), mode, stat_length=0) + expected = np.array([np.nan, 1., 2., np.nan, np.nan]) + assert_equal(arr, expected) + + @pytest.mark.parametrize("mode", ["minimum", "maximum"]) + def test_zero_stat_length_invalid(self, mode): + match = "stat_length of 0 yields no value for padding" + with pytest.raises(ValueError, match=match): + np.pad([1., 2.], 0, mode, stat_length=0) + with pytest.raises(ValueError, match=match): + np.pad([1., 2.], 0, mode, stat_length=(1, 0)) + with pytest.raises(ValueError, match=match): + np.pad([1., 2.], 1, mode, stat_length=0) + with pytest.raises(ValueError, match=match): + np.pad([1., 2.], 1, mode, stat_length=(1, 0)) + class TestConstant(object): def test_check_constant(self): diff --git a/numpy/lib/tests/test_io.py b/numpy/lib/tests/test_io.py index 78f9f85f3..407bb56bf 100644 --- a/numpy/lib/tests/test_io.py +++ b/numpy/lib/tests/test_io.py @@ -1681,6 +1681,10 @@ M 33 21.99 test = np.genfromtxt(data) assert_equal(test, np.array([])) + # when skip_header > 0 + test = np.genfromtxt(data, skip_header=1) + assert_equal(test, np.array([])) + def test_fancy_dtype_alt(self): # Check that a nested dtype isn't MIA data = TextIO('1,2,3.0\n4,5,6.0\n') |