plt.hist python code example

Example 1: matplotlib histogram

import matplotlib.pyplot as plt
data = [1.7,1.8,2.0,2.2,2.2,2.3,2.4,2.5,2.5,2.5,2.6,2.6,2.8,
        2.9,3.0,3.1,3.1,3.2,3.3,3.5,3.6,3.7,4.1,4.1,4.2,4.3]
#this histogram has a range from 1 to 4
#and 8 different bins
plt.hist(data, range=(1,4), bins=8)
plt.show()

Example 2: plt normalized histogram

plt.hist(data, density=True)

Example 3: matplotlib hist

# Import packages
import matplotlib.pyplot as plt
%matplotlib inline

# Create the plot
fig, ax = plt.subplots()

# Plot the histogram with hist() function
ax.hist(x, edgecolor = "black", bins = 5)

# Label axes and set title
ax.set_title("Title")
ax.set_xlabel("X_Label")
ax.set_ylabel("Y_Label")

Example 4: plt.hist using bins

counts, bins = np.histogram(data)
plt.hist(bins[:-1], bins, weights=counts)

Example 5: python matpotlib histplot

import matplotlib.pyplot as plt
plt.hist(x) #x is a array of numbers
plt.show()

Example 6: plt.hist bins

matplotlib.pyplot.hist(x, bins=None, range=None, density=False, weights=None, cumulative=False, bottom=None, histtype='bar', align='mid', orientation='vertical', rwidth=None, log=False, color=None, label=None, stacked=False, *, data=None, **kwargs)