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When executed in for-loop for a dataframe, the value is sometime coming as -0.00 while on normal execute the problem is not present.
for
-0.00
= 3.10
Windows 10, Windows 11, Linux (debian/ubuntu/mint/etc.)
output_per_day = [3_960, 20_438.710] price_per_unit = [6.050, 5.870] xs = np.array([output_per_day, price_per_unit]) sense = np.array([1, -1]) obj = dmoop.Linear2DAllocation(xs = xs, senses = sense, drop_outliers = True, outlier_direction = (None, "right")) obj.factor(methods = [np.mean, np.min], factors = [1, 100])
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What happened?
When executed in
for
-loop for a dataframe, the value is sometime coming as-0.00
while on normal execute the problem is not present.Python Version
What type of operating system are you using?
Windows 10, Windows 11, Linux (debian/ubuntu/mint/etc.)
Relevant System Configuration
No response
Relevant log output
output_per_day = [3_960, 20_438.710] price_per_unit = [6.050, 5.870] xs = np.array([output_per_day, price_per_unit]) sense = np.array([1, -1]) obj = dmoop.Linear2DAllocation(xs = xs, senses = sense, drop_outliers = True, outlier_direction = (None, "right")) obj.factor(methods = [np.mean, np.min], factors = [1, 100])
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The text was updated successfully, but these errors were encountered: