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Make errobars work with astropy units #10118

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36 changes: 27 additions & 9 deletions lib/matplotlib/axes/_axes.py
Original file line number Diff line number Diff line change
Expand Up @@ -2965,13 +2965,24 @@ def _bool_asarray_helper(d, expected):

def xywhere(xs, ys, mask):
"""
return xs[mask], ys[mask] where mask is True but xs and
ys are not arrays
Return xs[mask], ys[mask] where mask is True but xs and
ys are not arrays.

If they are arrays, just return xs[mask] and ys[mask].
"""
assert len(xs) == len(ys)
assert len(xs) == len(mask)
xs = [thisx for thisx, b in zip(xs, mask) if b]
ys = [thisy for thisy, b in zip(ys, mask) if b]

if isinstance(xs, np.ndarray):
xs = xs[mask]
else:
xs = [thisx for thisx, b in zip(xs, mask) if b]

if isinstance(ys, np.ndarray):
ys = ys[mask]
else:
ys = [thisy for thisy, b in zip(ys, mask) if b]

return xs, ys

def extract_err(err, data):
Expand Down Expand Up @@ -3005,11 +3016,18 @@ def extract_err(err, data):
if (len(err) != len(data) or np.size(fe) > 1):
raise ValueError("err must be [ scalar | N, Nx1 "
"or 2xN array-like ]")
# using list comps rather than arrays to preserve units
low = [thisx - thiserr for (thisx, thiserr)
in cbook.safezip(data, err)]
high = [thisx + thiserr for (thisx, thiserr)
in cbook.safezip(data, err)]
if isinstance(data, np.ndarray):
low = data - err
else:
# using list comps rather than arrays to preserve units
low = [thisx - thiserr for (thisx, thiserr)
in cbook.safezip(data, err)]
if isinstance(data, np.ndarray):
high = data + err
else:
# using list comps rather than arrays to preserve units
high = [thisx + thiserr for (thisx, thiserr)
in cbook.safezip(data, err)]
return low, high

if xerr is not None:
Expand Down