PLOTTING WITH PYPLOT II – HISTOGRAM, FREQUENCY DISTRIBUTION, BOXPLOTS (PART - 2) CLASS - XII

PLOTTING WITH PYPLOT II – HISTOGRAM, FREQUENCY DISTRIBUTION, BOXPLOTS

Chapter – 4 (SECOND PART)

Class – XII

Another example of Histogram:

Look at the following example that plot histogram from two ndarrays x and y each having randomly generated some numbers.

1. Plot a histogram from an ndarray x with 7 bins
import numpy as np import matplotlib.pyplot as plt x = np.random.normal(-1,1,100) y = np.random.normal(-1,1,100) #print(x) plt.hist(x, bins = 7) plt.show()

2. Plot a histogram from an ndarray y with 5 bins
import numpy as np import matplotlib.pyplot as plt x = np.random.normal(-1,1,100) y = np.random.normal(-1,1,100) #print(x) plt.hist(y, bins = 5) plt.show()

3. Plot a cumulative histogram of ndarray x with 20 bins
import numpy as np import matplotlib.pyplot as plt x = np.random.normal(-1,1,100) y = np.random.normal(-1,1,100) #print(x) plt.hist(x, bins = 20, cumulative = True) plt.show()

4. Plot ndarray x’s histogram as ‘step’ type histogram with 9 bins
import numpy as np import matplotlib.pyplot as plt x = np.random.normal(-1,1,100) y = np.random.normal(-1,1,100) plt.hist(x, bins = 9, histtype = 'step') plt.show()

5. Plot both ndarray x and y in same histogram
import numpy as np import matplotlib.pyplot as plt x = np.random.normal(-1,1,100) y = np.random.normal(-1,1,100) plt.hist([x,y]) plt.show()

6. Plot a stacked bar type histogram from both ndarray x and y
(a) regular histogram import numpy as np import matplotlib.pyplot as plt x = np.random.normal(-1,1,100) y = np.random.normal(-1,1,100) plt.hist([x,y], histtype = 'barstacked') plt.show()
(b) Cumulative histogram import numpy as np import matplotlib.pyplot as plt x = np.random.normal(-1,1,100) y = np.random.normal(-1,1,100) plt.hist([x,y], histtype = 'barstacked', cumulative = True) plt.show()

7. Plot a horizontal histogram from ndarray y with 20 bins
import numpy as np import matplotlib.pyplot as plt x = np.random.normal(-1,1,100) y = np.random.normal(-1,1,100) plt.hist(y,bins = 20, orientation = 'horizontal') plt.show()

Creating Frequency Polygons:

A frequency polygon is a type of frequency distribution graph. In a frequency polygon, the number of observations is marked with a single point at the midpoint of an interval. A straight line then connects each set of points. Frequency polygons make it easy to compare two or more distributions on the same set of axes.

NOTE: This is the notes of Chapter - IV Plotting with Pyplot - II  - Histogram, Frequency, BoxPlots. It is important for every students, who are going to appear in Class - XII CBSE BOARD Exam as well as competitive level exam.

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