diff options
Diffstat (limited to 'numpy')
| -rw-r--r-- | numpy/add_newdocs.py | 5 | ||||
| -rw-r--r-- | numpy/lib/function_base.py | 3 |
2 files changed, 5 insertions, 3 deletions
diff --git a/numpy/add_newdocs.py b/numpy/add_newdocs.py index 9372b3431..a39aebc0c 100644 --- a/numpy/add_newdocs.py +++ b/numpy/add_newdocs.py @@ -605,6 +605,7 @@ add_newdoc('numpy.core', 'broadcast', Examples -------- + Manually adding two vectors, using broadcasting: >>> x = np.array([[1], [2], [3]]) @@ -7144,8 +7145,8 @@ add_newdoc('numpy.core.multiarray', 'datetime_data', Get information about the step size of a date or time type. - The returned tuple can be passed as the second argument of `datetime64` and - `timedelta64`. + The returned tuple can be passed as the second argument of `numpy.datetime64` and + `numpy.timedelta64`. Parameters ---------- diff --git a/numpy/lib/function_base.py b/numpy/lib/function_base.py index 95edb95fa..c06065ba6 100644 --- a/numpy/lib/function_base.py +++ b/numpy/lib/function_base.py @@ -3543,7 +3543,7 @@ def percentile(a, q, axis=None, out=None, def quantile(a, q, axis=None, out=None, overwrite_input=False, interpolation='linear', keepdims=False): """ - Compute the `q`th quantile of the data along the specified axis. + Compute the qth quantile of the data along the specified axis. ..versionadded:: 1.15.0 Parameters @@ -3569,6 +3569,7 @@ def quantile(a, q, axis=None, out=None, This optional parameter specifies the interpolation method to use when the desired quantile lies between two data points ``i < j``: + * linear: ``i + (j - i) * fraction``, where ``fraction`` is the fractional part of the index surrounded by ``i`` and ``j``. |