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Simplify test for negative xerr/yerr. #21677

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Merged
merged 1 commit into from
Nov 19, 2021
Merged

Simplify test for negative xerr/yerr. #21677

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17 changes: 3 additions & 14 deletions lib/matplotlib/axes/_axes.py
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Original file line number Diff line number Diff line change
Expand Up @@ -3,7 +3,6 @@
import logging
import math
from numbers import Integral, Number
from datetime import timedelta

import numpy as np
from numpy import ma
Expand Down Expand Up @@ -3291,19 +3290,6 @@ def errorbar(self, x, y, yerr=None, xerr=None,
if len(x) != len(y):
raise ValueError("'x' and 'y' must have the same size")

def has_negative_values(array):
if array is None:
return False
try:
return np.any(array < 0)
except TypeError: # if array contains 'datetime.timedelta' types
return np.any(array < timedelta(0))

if has_negative_values(xerr):
raise ValueError("'xerr' must not contain negative values")
if has_negative_values(yerr):
raise ValueError("'yerr' must not contain negative values")

if isinstance(errorevery, Integral):
errorevery = (0, errorevery)
if isinstance(errorevery, tuple):
Expand Down Expand Up @@ -3426,6 +3412,9 @@ def apply_mask(arrays, mask): return [array[mask] for array in arrays]
f"'{dep_axis}err' (shape: {np.shape(err)}) must be a "
f"scalar or a 1D or (2, n) array-like whose shape matches "
f"'{dep_axis}' (shape: {np.shape(dep)})") from None
if np.any(err < -err): # like err<0, but also works for timedelta.
raise ValueError(
f"'{dep_axis}err' must not contain negative values")
# This is like
# elow, ehigh = np.broadcast_to(...)
# return dep - elow * ~lolims, dep + ehigh * ~uplims
Expand Down