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I am currently working with a system that utilizes breakpoints, potentially sourced from a pandas DataFrame, and I have encountered a point of confusion regarding the indexing of these breakpoints.
Could you please clarify whether the breakpoints are 0-indexed? Specifically, when breakpoints are loaded from a list obtained from a DataFrame, does the indexing follow the standard Python convention, where the first element is at index 0?
For example, if I have a DataFrame with n rows and I convert it to a list of breakpoints, should I expect that the last breakpoint corresponds to the last element at index n-1, following zero-based indexing?
Understanding this will ensure proper handling of edge cases when the last breakpoint is accessed or modified.
The text was updated successfully, but these errors were encountered:
Everything is 0-indexed. For instance, for a numpy array signal of shape (n_samples, n_dims) or (n_samples,), if the change-point list is [10, 45, 89, 100], this means that signal[0:10], signal[10:45], signal[45:89] and signal[89:100] are segments. Also, the last element of a change-point list is the number of samples, i.e. n_samples=100 here.
I am currently working with a system that utilizes breakpoints, potentially sourced from a pandas DataFrame, and I have encountered a point of confusion regarding the indexing of these breakpoints.
Could you please clarify whether the breakpoints are 0-indexed? Specifically, when breakpoints are loaded from a list obtained from a DataFrame, does the indexing follow the standard Python convention, where the first element is at index 0?
For example, if I have a DataFrame with n rows and I convert it to a list of breakpoints, should I expect that the last breakpoint corresponds to the last element at index n-1, following zero-based indexing?
Understanding this will ensure proper handling of edge cases when the last breakpoint is accessed or modified.
The text was updated successfully, but these errors were encountered: