Jul 17, 2017 · ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all(). has been asked a long time ago. However, I am trying to create a basic function and return a new column with df['busy'] with 1 or 0. My function looks like this,

ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all(). Workarounds: we can decide how to treat Series of boolean values - for example if should return True if all values are True: In [136]: res.all() Out[136]: False …

Aug 2, 2017 · Just in case anyone is confused by something like 'a' or 'b' returning 'a' instead of True, note that and and or are "short circuit operators", and "When used as a general value and not as a Boolean, the return value of a short-circuit operator is the last evaluated argument."

Jan 15, 2019 · >>> a = np.array([1, 3, 5]) >>> b = np.array([5, 3, 1]) >>> print(a<b) array([True, False, False]) >>> bool(a<b) ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all() You have to basically "pick" how to collapse the comparisons of all of the values across all of your arrays down to a single bool.

Dec 26, 2015 · if valeur <= 0.6: ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all() I have read several posts about a.any() or a.all() but still can't find a way that really clearly explain how to fix the problem. I see why Python does not like what I wrote but I am not sure how to fix it.

If a value can be converted to true, the value is so-called truthy. If a value can be converted to false, the value is so-called falsy. Examples of expressions that can be converted to false are: null; NaN; 0; empty string ("" or '' or ``); undefined.

Dec 29, 2017 · ValueError: The truth value of a Series is ambiguous. Use a.empty,a.bool(), a.item(), a.any() or a.all(). Any ideas why? I write a fairly similar np.where statement on a different pandas data frame in my code and it works perfectly fine. No …

Python normally interprets the length of containers (like list, tuple, ...) as truth-value if it has no explicit Boolean interpretation. So if you want the Python-like check, you could do: if x.size or if not x.empty instead of if x. If your Series contains one and only one Boolean value:

Mar 6, 2015 · ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all() (11 answers) Closed 1 year ago .

Jan 9, 2023 · In the above example, the < operator used against a dataframe will return a boolean series, containing a combination of True and False for its values. Since a series is returned, Python doesn't know which value to use, meaning that the series has an ambiguous truth value.