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393 If you're debugging and just want to see the current stack trace, you can simply call: traceback.print_stack() There's no need to manually raise an exception just to catch it again.
About this question - quite often I see a question come through where a novice programmer is "getting an error", and they simply paste their stack trace and some random block of code without understanding what the stack trace is or how they can use it. This question is intended as a reference for novice programmers who might need help understanding the value of a stack trace.
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Have the script read the stack-usage info and load up a map of function names with the stack used by the function. Then have the script walk the cflow graph (which can be an easy-to-parse text tree), adding up the stack usage associated with each line for each branch in the call graph.
A stack frame is a frame of data that gets pushed onto the stack. In the case of a call stack, a stack frame would represent a function call and its argument data. If I remember correctly, the function return address is pushed onto the stack first, then the arguments and space for local variables. Together, they make the "frame," although this is likely architecture-dependent. The processor ...
To read a CSV file as a pandas DataFrame, you'll need to use pd.read_csv, which has sep=',' as the default. But this isn't where the story ends; data exists in many different formats and is stored in different ways so you will often need to pass additional parameters to read_csv to ensure your data is read in properly. Here's a table listing common scenarios encountered with CSV files along ...
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