can anybody, please, help me to understand the ouput of this code?? I want simply to obtain an histogram with the specified bin edges and bin frequency values.
edges=np.array([106,150,212,300,425,600,850,875])
freq=np.array([0.02,0.15,16.55,41.19,27.18,11.72,1.97])
plt.hist(freq,bins=edges)
plt.show()
plt.hist(x) computes and then draws a histogram of x. Your data is already in histogram form. Simply plot it with:
mids = 0.5 * (edges[:-1] + edges[1:]) # Midpoints of the histogram bins
plt.bar(mids, freq, 40) # Draw a bar chart with bars of width 40
plt.show()
I agree with with @Seb about the data already being in histogram form, but could we still use plt.hist() by passing the edges as both the data and the bins and pass freq as the weights:
import matplotlib.pyplot as plt
edges = [106, 150, 212, 300, 425, 600, 850, 875]
freq = [0.02, 0.15, 16.55, 41.19, 27.18, 11.72, 1.97, 0]
plt.hist(edges, bins=edges, weights=freq)
plt.show()
As @Seb's plt.bar() approach doesn't visually emphasize the width of the buckets:
