diff options
| author | Andrew Eckart <andrew.g.eckart@gmail.com> | 2020-09-11 11:31:03 -0500 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2020-09-11 09:31:03 -0700 |
| commit | 3329d26c5d1d53f7fca1dfe253fdc43e93f0f6aa (patch) | |
| tree | 9ddb298c4578ca268ae52a755c1dac1f99391333 /doc/release | |
| parent | 02798e4ce39ae7882b19a3fde209472b7411d48a (diff) | |
| download | numpy-3329d26c5d1d53f7fca1dfe253fdc43e93f0f6aa.tar.gz | |
ENH: Allow genfromtxt to unpack structured arrays (#16650)
* ENH: Allow genfromtxt to unpack structured arrays
genfromtxt failed to transpose output when
unpack=True and `dtype` was structured (or None).
This patch resolves the issue by
returning a list of arrays, as in `loadtxt`.
Co-authored-by: Matti Picus <matti.picus@gmail.com>
Co-authored-by: Eric Wieser <wieser.eric@gmail.com>
Co-authored-by: Sebastian Berg <sebastian@sipsolutions.net>
Co-authored-by: Ross Barnowski <rossbar@berkeley.edu>
Diffstat (limited to 'doc/release')
| -rw-r--r-- | doc/release/upcoming_changes/16650.compatibility.rst | 16 |
1 files changed, 16 insertions, 0 deletions
diff --git a/doc/release/upcoming_changes/16650.compatibility.rst b/doc/release/upcoming_changes/16650.compatibility.rst new file mode 100644 index 000000000..653232355 --- /dev/null +++ b/doc/release/upcoming_changes/16650.compatibility.rst @@ -0,0 +1,16 @@ +`numpy.genfromtxt` now correctly unpacks structured arrays +---------------------------------------------------------- +Previously, `numpy.genfromtxt` failed to unpack if it was called with +``unpack=True`` and a structured datatype was passed to the ``dtype`` argument +(or ``dtype=None`` was passed and a structured datatype was inferred). +For example:: + + >>> data = StringIO("21 58.0\n35 72.0") + >>> np.genfromtxt(data, dtype=None, unpack=True) + array([(21, 58.), (35, 72.)], dtype=[('f0', '<i8'), ('f1', '<f8')]) + +Structured arrays will now correctly unpack into a list of arrays, +one for each column:: + + >>> np.genfromtxt(data, dtype=None, unpack=True) + [array([21, 35]), array([58., 72.])] |