how to plot a bar using matplotlib
import matplotlib.pyplot as plt
# creating the dataset
data = {'C':20, 'C++':15, 'Java':30,
'Python':35}
courses = list(data.keys())
values = list(data.values())
fig = plt.figure(figsize = (5, 5))
# creating the bar plot
plt.bar(courses, values, color ='green',
width = 0.4)
plt.xlabel("Courses offered")
plt.ylabel("No. of students enrolled")
plt.title("Students enrolled in different courses")
plt.show()matplotlib line plot
from matplotlib import pyplot as plt
# Median Developer Salaries by Age
dev_x = [25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35]
dev_y = [38496, 42000, 46752, 49320, 53200,
56000, 62316, 64928, 67317, 68748, 73752]
plt.plot(dev_x, dev_y)
plt.xlabel('Ages')
plt.ylabel('Median Salary (USD)')
plt.title('Median Salary (USD) by Age')
plt.show()
#Basic line graph using python module matplotlibadd trendline to plot matplotlib
# plot the data itself
pylab.plot(x,y,'o')
# calc the trendline
z = numpy.polyfit(x, y, 1)
p = numpy.poly1d(z)
pylab.plot(x,p(x),"r--")
# the line equation:
print "y=%.6fx+(%.6f)"%(z[0],z[1])Copyright © 2021 Codeinu
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