matplotlib.pyplot

Question 1

Import the function which enables you to create simple charts

Answer 1

import matplotlib.pyplot as plt

Question 2

Which function is the most commonly used from the matplotlib module?

Answer 2

pyplot, usually as “plt” variable name

Question 3

Create a line plot from x and y datasets

Answer 3

plt.plot(x, y)

Question 4

Create a scatterplot from x and y datasets

Answer 4

plt.scatter(x, y)

Question 5

Show the created plot

Answer 5

plt.show()

Question 6

clean axis

Answer 6

plt.cla()

Question 7

clean figure

Answer 7

plt.clf()

Question 8

erase plots and release memory

Answer 8

plt.close()

Question 9

Create a histogram from dataset x

Answer 9

plt.hist(x)

Question 10

Create a histogram from dataset x with 30 bins

Answer 10

plt.hist(x, bins=30)

Question 11

Modify the scale of the x axis to logarithmic scale

Answer 11

plt.xscale(‘log’)

Question 12

We need a standard world development chart based on GDP per capita and life expectancy. You also have population to include as a third dimension (size), and you have information about the continent (color).

Corresponding numpy arrays:
gdp, life, pop, col.

Make the points slightly transparent to that they can be distinghuised if they are overlapping.

Answer 12

plt.scatter(x = gdp, y = life, s = pop, c = col, alpha = 0.8)

Question 13

Include the following options on the scatterplot named plt already existing:

X label: “GDP”
Y label: “Life expectancy”
Title: “World Development”
X axis ticks: “1000, 10000, 100000” with the labels “1K”, “10K”, “100K”

Answer 13

plt. xlabel(“GDP”)
plt. ylabel(“Life expectancy”)
plt. title(“World Development”)
plt. xticks([1000,10000,100000], [“1K”, “10K”, “100K”])

Question 14

Add custom text.

At coordinates 1550, 71, add “India”.

Answer 14

plt.text(1550, 71, “India”)

Question 15

Turn on the grid

Answer 15

plt.grid(True)