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]
plt.hist(data, range=(1,4), bins=8)
plt.show()
Example 2: matplotlib histograms
import matplotlib.pyplot as plt
%matplotlib inline
fig, ax = plt.subplots()
ax.hist(x, edgecolor = "black", bins = 5)
ax.set_title("Title")
ax.set_xlabel("X_Label")
ax.set_ylabel("Y_Label")
Example 3: matplotlib histogram python
import pyplot from matplotlib as plt
plt.hist(x_axis_list, y_axis_list)
Example 4: histogram python
>>> np.histogram([1, 2, 1], bins=[0, 1, 2, 3])
(array([0, 2, 1]), array([0, 1, 2, 3]))
>>> np.histogram(np.arange(4), bins=np.arange(5), density=True)
(array([0.25, 0.25, 0.25, 0.25]), array([0, 1, 2, 3, 4]))
>>> np.histogram([[1, 2, 1], [1, 0, 1]], bins=[0,1,2,3])
(array([1, 4, 1]), array([0, 1, 2, 3]))