Question

write a python program to display a bar chart of the number of students in a class.
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Answer 1

Answer:

In this tutorial, we cover bar charts and histograms with Matplotlib. First, let's cover a bar chart.

import matplotlib.pyplot as plt plt.bar([1,3,5,7,9],[5,2,7,8,2], label="Example one") plt.bar([2,4,6,8,10],[8,6,2,5,6], label="Example two", color='g') plt.legend() plt.xlabel('bar number') plt.ylabel('bar height') plt.title('Epic Graph\nAnother Line! Whoa') plt.show()

The plt.bar creates the bar chart for us. If you do not explicitly choose a color, then, despite doing multiple plots, all bars will look the same. This gives us a change to cover a new Matplotlib customization option, however. You can use color to color just about any kind of plot, using colors like g for green, b for blue, r for red, and so on. You can also use hex color codes, like #191970

Next, we can cover histograms. Very much like a bar chart, histograms tend to show distribution by grouping segments together. Examples of this might be age groups, or scores on a test. Rather than showing every single age a group might be, maybe you just show people from 20-25, 25-30... and so on. Here's an example:

import matplotlib.pyplot as plt population_ages = [22,55,62,45,21,22,34,42,42,4,99,102,110,120,121,122,130,111,115,112,80,75,65,54,44,43,42,48] bins = [0,10,20,30,40,50,60,70,80,90,100,110,120,130] plt.hist(population_ages, bins, histtype='bar', rwidth=0.8) plt.xlabel('x') plt.ylabel('y') plt.title('Interesting Graph\nCheck it out') plt.legend() plt.show()

The resulting graph is:

For plt.hist, you first put in all of the values, then you specify into what "bins" or containers you will place the data into. In our case, we are plotting a bunch of ages, and we want to display them in terms of increments of 10 years. We give the bars a width of 0.8, but you can choose something else if you want to make the bars thicker, or thinner.

Answer 2

import matplotlib. pyplot as plt.

x = ['Java', 'Python', 'PHP', 'JavaScript', 'C#'

popularity = [22.2, 17.6, 8.8, 8, 7.7, 6.7]

x_pos = [i for i, _ in enumerate(x)]

plt. bar(x_pos, popularity, color=(0.4, 0.6, 0.8,

plt. xlabel("Languages")

plt. ylabel("Popularity")

plt.