Histogram Manipulation To Remove Unwanted Data

How do I remove data from a histogram in python under a certain frequency count? Say I have 10 bins, the first bin has a count of 4, the second has 2, the third has 1, fourth has

Solution 1:

Une np.histogram to create the histogram.

Then use np.where. Given a condition, it yields an array of booleans you can use to index your histogram.

import numpy as np
import matplotlib.pyplot as plt

gaussian_numbers = np.random.randn(1000)

# Get histogram
hist, bins = np.histogram(gaussian_numbers, bins=12)

# Threshold frequency
freq = 100# Zero out low values
hist[np.where(hist <= freq)] = 0# Plot
width = 0.7 * (bins[1] - bins[0])
center = (bins[:-1] + bins[1:]) / 2
plt.bar(center, hist, align='center', width=width)
plt.title("Gaussian Histogram")
plt.xlabel("Value")
plt.ylabel("Frequency")

(Plot part inspired from here.)