histogram python

1import matplotlib.pyplot as plt
2data = [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,
3        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]
4#this histogram has a range from 1 to 4
5#and 8 different bins
6plt.hist(data, range=(1,4), bins=8)
7plt.show()

1import matplotlib.pyplot as plt
2 
3x = [1,1,2,3,3,5,7,8,9,10,
4     10,11,11,13,13,15,16,17,18,18,
5     18,19,20,21,21,23,24,24,25,25,
6     25,25,26,26,26,27,27,27,27,27,
7     29,30,30,31,33,34,34,34,35,36,
8     36,37,37,38,38,39,40,41,41,42,
9     43,44,45,45,46,47,48,48,49,50,
10     51,52,53,54,55,55,56,57,58,60,
11     61,63,64,65,66,68,70,71,72,74,
12     75,77,81,83,84,87,89,90,90,91
13     ]
14
15plt.hist(x, bins=10)
16plt.show()
17

1import matplotlib.pyplot as plt	
2  	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,
3    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]
4  	plt.hist(data)
5    plt.title('Histogram of Data')
6    plt.xlabel('data')
7    plt.ylabel('count')

1# Import packages
2import matplotlib.pyplot as plt
3%matplotlib inline
4
5# Create the plot
6fig, ax = plt.subplots()
7
8# Plot the histogram with hist() function
9ax.hist(x, edgecolor = "black", bins = 5)
10
11# Label axes and set title
12ax.set_title("Title")
13ax.set_xlabel("X_Label")
14ax.set_ylabel("Y_Label")

1import pyplot from matplotlib as plt
2plt.hist(x_axis_list, y_axis_list)

1>>> np.histogram([1, 2, 1], bins=[0, 1, 2, 3])
2(array([0, 2, 1]), array([0, 1, 2, 3]))
3>>> np.histogram(np.arange(4), bins=np.arange(5), density=True)
4(array([0.25, 0.25, 0.25, 0.25]), array([0, 1, 2, 3, 4]))
5>>> np.histogram([[1, 2, 1], [1, 0, 1]], bins=[0,1,2,3])
6(array([1, 4, 1]), array([0, 1, 2, 3]))
7