3.1.2.1: Line style as dashed

pl.xlabel(“X-axis”)

pl.ylabel(“Y-axis”)

pl.plot(x,y,’r’,linewidth = 3, linestyle = ‘dashed’)

pl.show()

Output:

3.1.2.2: Marker as diamond.

pl.xlabel(“X-axis”)

pl.ylabel(“Y-axis”)

pl.plot(x,y,’r’,marker=‘d’)

pl.show()

Output:

pl.xlabel(“X-axis”)

pl.ylabel(“Y-axis”)

pl.plot(x,y,’r’,marker=‘D’)

pl.show()

Output:

3.1.2.3: Marker as Square

pl.xlabel(“X-axis”)

pl.ylabel(“Y-axis”)

pl.plot(x,y,’r’,marker=‘s’)

pl.show()

Output:

3.1.2.4: With no Marker

pl.xlabel(“X-axis”)

pl.ylabel(“Y-axis”)

pl.plot(x,y,’r’,marker=‘‘)

pl.show()

Output:

3.1.2.5: with Marker as Square and Markeredgecolor

pl.xlabel(“X-axis”)

pl.ylabel(“Y-axis”)

pl.plot(x,y,marker=‘s’, markeredgecolor=‘red’)

pl.show()

Output:

3.1.2.6: With marker as + and markeredgecolor

pl.xlabel(“X-axis”)

pl.ylabel(“Y-axis”)

pl.plot(x,y,marker=‘+’, markeredgecolor=‘red’)

pl.show()

Output:

pl.xlabel(“X-axis”)

pl.ylabel(“Y-axis”)

pl.title(“Student”)

pl.plot(x,y,marker=‘+’, markeredgecolor=‘red’)

pl.show()

Output:

3.1.2.7: With label attribute

pl.xlabel(“X-axis”)

pl.ylabel(“Y-axis”)

pl.plot(x,y,linewidth=3, label=“sub1”)

pl.legend()

pl.show()

Output:

3.1.2.8: Demonstration of Grid view:

x2 = [6, 9, 11]

y = [5, 8, 10]

x = [12, 6, 6]

y2 = [6, 14, 8]

pl.xlabel(“X-axis”)

pl.ylabel(“Y-axis”)

pl.plot(x,y,linewidth=3, label=“sub1”)

pl.plot(x2,y2,linewidth=3, label=“sub2”)

pl.legend()

pl.show()

Output:

3.1.2.9: Demonstration of grid view with color attribute

from matplotlib import style

style.use(‘ggplot’)

pl.xlabel(“X-axis”)

pl.ylabel(“Y-axis”)

pl.plot(x,y,linewidth=3, label=“sub1”)

pl.plot(x2,y2,linewidth=3, label=“sub2”)

pl.legend()

pl.grid(True, color = ‘k’)

pl.show()

3.1.2.10: Demonstration of bar graph:

x = [1,2,3,4]

y = [9,8,7,6]

pl.xlabel(“X-axis”)

pl.ylabel(“Y-axis”)

pl.bar(x,y, width=[0.1,0.2,0.3,0.4], color = ‘b’)

pl.show()

Output:

3.1.2.11: Demonstration of bar graph with different color:

x = [1,2,3,4]

y = [9,8,7,6]

pl.xlabel(“X-axis”)

pl.ylabel(“Y-axis”)

pl.bar(x,y, width=[0.1,0.2,0.3,0.4], color = [‘r’,’g’,’b’,’k’])

pl.show()

Output:

3.1.2.12: Demonstration of Histogram

population_age = [50,30,60,76,34,29,90,100,9,8,5,23,65,34,21,54,87,98,43,56,45,99,12,10,44,35,101]

bins = [0,10,20,30,40,50,60,70,80,90,101]

pl.hist(population_age,bins,histtype = ‘bar’, rwidth=0.5)

pl.xlabel(“X-axis”)

pl.ylabel(“Y-axis”)

pl.title(“Hostogram”)

pl.show()

Output:

x = [1,2,3,4,5,6]

y = [4,6,7,6,1,4]

pl.scatter(x,y)

pl.xlabel(“X-axis”)

pl.ylabel(“Y-axis”)

pl.show()

Output:

3.1.2.12: Demonstration of Pie chart:

slices = [8,3,3,12]

subjects = [‘Math’,’Science’,’German’,’Hindi’]

cols = [‘g’,’m’,’r’,’b’]

pl.pie(slices, labels = subjects, colors = cols, startangle = 120)

pl.show()

Output:

slices = [8,3,3,12]

subjects = [‘Math’,’Science’,’German’,’Hindi’]

cols = [‘g’,’m’,’r’,’b’]

pl.pie(slices, labels = subjects, colors = cols, startangle = 12)

pl.show()

Output:

slices = [8,3,3,12]

subjects = [‘Math’,’Science’,’German’,’Hindi’]

cols = [‘g’,’m’,’r’,’b’]

pl.pie(slices, labels = subjects, colors = cols, startangle = 120, shadow = True, autopct = ‘%1.1f%%’)

pl.show()

Output: