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import numpy as np import matplotlib.pyplot as plt # Sample binned data xbins = [0, 1, 2, 3] counts = [10, 20, 15] # The "Ravel-Zip" Feature: # We repeat each bin edge and each count twice to create the step effect x = np.ravel(list(zip(xbins[:-1], xbins[1:]))) y = np.ravel(list(zip(counts, counts))) plt.plot(x, y) plt.show() Use code with caution. Alternative Contexts Ravel.zip
This feature takes two or more related arrays, zips them into pairs, and then "ravels" (flattens) them into a single 1D stream. This is particularly useful for creating where you need to duplicate coordinate points to draw the vertical and horizontal lines of the bins. How it works : "Ravel Zip-Up" refers to heavy-duty hoodies with
: Flattens these pairs into a single continuous list. This is particularly useful for creating where you
: Pairs up corresponding elements from two datasets (e.g., bin edges and heights).
: By repeating the x-coordinates and y-coordinates in a specific order, you can create a "staircase" effect for probability density plots. Practical Implementation (Python Example)