WebSep 22, 2024 · math.pi is a float constant and when it's written like that with the parenthesis, python thinks that you're trying to call it as a function. Hence the error: TypeError 'float' object is not callable'. It should be: SphereSurfaceArea = (4)*math.pi* (r**2) Share Improve this answer Follow edited Sep 22, 2024 at 3:41 Code-Apprentice 80.5k 21 142 260 WebJan 12, 2024 · Since my dict is callable when I open a fresh interpreter, it means that your dict is different. Most likely, you defined a dict variable, which overrode the built-in dict. Look for the dict = {...} line, and rename your variable. As pointed out by @Robᵩ, don't use built-in names for your variables.
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WebRelated tutorials Getting the length of a list in Python Capitalize the first letter of each word in a String in Python Checking if a number is divisible by another number in Python How … WebNov 10, 2024 · callable (object) The callable () method takes only one argument, an object and returns one of the two values: returns True, if the object appears to be callable. returns False, if the object is not callable. Note: There may be few cases where callable () returns true, but the call to object fails. godzilla with the infinity stones
How to Use a Nested Python Dictionary in Dataset.from_dict
WebAug 23, 2024 · 1) Don't name exactly the same functions and data objects. 2) Don't make object global and return it by 'return' in the same function. It's all lead to some confusion. – CrazyElf Aug 23, 2024 at 17:09 @KriKors in case one of the answers helped to solve your problem, please mark the one you choose as accepted. Thanks. – silvanoe WebJul 22, 2024 · A static method isn't callable; it's an object whose __get__ method returns a callable object. However, you aren't accessing some_op (incomplete definition aside) as an attribute, but as a regular function, so its __get__ method never gets used. You have two options: Define some_op as a regular function outside the class.; Don't define some_op … WebAug 17, 2024 · df_x ("end_date") --> This is wrong way of accessing a spark dataframe column. That's why python is assuming it as a callable and you are getting that error. df_x ["end_date"] --> This is how you should access the column (or df_x.end_date) UPDATE: Now only noticed , .ge () or .le () kind of methods won't work with spark dataframe … godzilla word count