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If you are working with Matplotlib or NumPy , you can use this logic to manually construct a stepped plot from binned data:

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

: "Ravel Zip-Up" refers to heavy-duty hoodies with reinforced zippers, prioritized for layering and breathability. Ravel zip up hoodie at Best Prices Online - Jumia Nigeria If you are working with Matplotlib or NumPy

: Pairs up corresponding elements from two datasets (e.g., bin edges and heights). This feature takes two or more related arrays,

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