Matplotlib

Question 1

Import Matplotlib

Answer 1

import matplotlib.pyplot as plt

Question 2

What is the definition of a plot

Answer 2

It is an illustration that can be represented using a graph

Question 3

What is the definition of a figure

Answer 3

It is a diagram or a shape that can be formed by a collection of plots in different dimensions

Question 4

Create a plot on different set of axes - create two figures with each plot 1,1 and 1,2

Answer 4

plt.figure(1)
plt.plot([1,1])

plt.figure(2)
plt.plot([1,2])

Question 5

Make a plot 1,2,1,2 and add a title and axes labels

Answer 5

plt.plot([1,2,1,2])
plt.title(‘GRID REPRESENTATION’)
plt.xlabel(‘X-axis’)
plt.ylabel(‘Y-axis’)

Question 6

Add a grid

Answer 6

plt.grid()

Question 7

readjust plots so nothing is overlapping

Answer 7

plt.tight_layout()

Question 8

Create two subplots for a subplot 2,1,1 and a plot 1,4 and 2,2

Answer 8

plt.subplot(2,1,1) # initialize the subplot 2,1 how many rows(2) and cols(1) and last is which you want to plot on
plt.plot([1,4])
plt.title(“subplot1”)

plt.subplot(2,1,2)
plt.plot([2,2])
plt.title(“subplot2”)
plt.xlabel(“xaxis”)

Question 9

Plot a line plot for the following data: x = [1,2,3,4,5]

y1 = [50,40,70,80,20]
y2 = [75,30,30,60,70]
y3 = [70,20,60,40,60]
y4 = [80,20,20,50,60]

Answer 9

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

y1 = [50,40,70,80,20]
y2 = [75,30,30,60,70]
y3 = [70,20,60,40,60]
y4 = [80,20,20,50,60]

plt.plot(x,y1,’green’,label=’Team A’, linewidth=3, linestyle=”–”)
plt.plot(x,y2,’blue’,label=’Team B’,linewidth=3, alpha=0.1)
plt.plot(x,y3,’hotpink’,label=’Team C’,linewidth=3)
plt.plot(x,y4,’orange’,label=’Tead D’,linewidth=3)

plt.title(‘Team race details in line plot’)
plt.ylabel(‘ Distance in kms’)
plt.xlabel(‘Days’)

plt.legend()

Question 10

Add a legend

Answer 10

plt.legend()

Question 11

Make a bar chart with the following data: Team A is [0.25,1.25,2.25,3.25,4.25],height=[50,40,70,80,20] and team B is [0.25,1.25,2.25,3.25,4.25],height=[80,20,20,50,60].

Answer 11

plt.bar([0.25,1.25,2.25,3.25,4.25],height=[50,40,70,80,20], #yvariable is known as the height variable
# label=’Team A’,width=.5)

plt.bar([0.25,1.25,2.25,3.25,4.25],height=[80,20,20,50,60],
# label=”Team B”, color=’r’,width=.5)

plt.bar([.75,1.75,2.75,3.75,4.75],height=[70,20,60,40,60],
label=”Team C”, color=’y’,width=.5)

plt.bar([.75,1.75,2.75,3.75,4.75],height=[80,20,20,50,60],
label=”Team D”, color=’g’,width=.5)

plt.legend()
plt.xlabel(‘Days’)
plt.ylabel(‘Distance (kms)’)
plt.title(‘Team Race details in BAR PLOTTING’)

Question 12

Make an area plot for the following data: days = [1,2,3,4,5]
TeamA =[50,40,70,80,20]
TeamB = [80,20,20,50,60]
TeamC =[70,20,60,40,60]
TeamD = [80,20,20,50,60]

Answer 12

days = [1,2,3,4,5]
TeamA =[50,40,70,80,20]
TeamB = [80,20,20,50,60]
TeamC =[70,20,60,40,60]
TeamD = [80,20,20,50,60]

plt.plot([],[],color=’bisque’, label=’TeamA’, linewidth=3)
plt.plot([],[],color=’turquoise’, label=’TeamB’, linewidth=3)
plt.plot([],[],color=’blueviolet’, label=’TeamC’, linewidth=3)
plt.plot([],[],color=’lightcoral’, label=’TeamD’, linewidth=3)

plt.stackplot(days, TeamA, TeamB, TeamC, TeamD, colors=[‘bisque’,’turquoise’,’blueviolet’,’lightcoral’])

plt.xlabel(‘Days’)
plt.ylabel(‘Distance in kms’)
plt.title(‘Team race deatils in area plot’)

plt.legend()

Question 13

Make a pie plot for the following data: days = [1,2,3,4,5]
TeamA =[50,40,70,80,20]
TeamB = [80,20,20,50,60]
TeamC =[70,20,60,40,60]
TeamD = [80,20,20,50,60]

Answer 13

plotting pie chart

days = [1,2,3,4,5]
TeamA =[50,40,70,80,20]
TeamB = [80,20,20,50,60]
TeamC =[70,20,60,40,60]
TeamD = [80,20,20,50,60]

slices = [8,5,5,6]

labels_list = [‘TeamA’,’TeamB’,’TeamC’,’TeamD’]
color_list = [‘c’,’g’,’y’,’b’]

plt.pie(
slices,
labels=labels_list,
colors=color_list,
startangle=90,
shadow= True,
explode=(0,0.1,0,0),
autopct=’%1.1f%%’
)
plt.title(‘Race details in Pie Plot’)

Question 14

Make a scatter plot for the following data: days = [1, 2, 3, 4, 5]
Y1 = [50, 40, 70, 80, 20]
Y2=[80, 20, 20, 50, 60]
Y3=[70, 20, 60, 40, 60]
Y4=[80, 20, 20, 50, 60]

Answer 14

days = [1, 2, 3, 4, 5]
Y1 = [50, 40, 70, 80, 20]
Y2=[80, 20, 20, 50, 60]
Y3=[70, 20, 60, 40, 60]
Y4=[80, 20, 20, 50, 60]

plt.scatter(days,Y1, label=’TeamA’,color=’r’)
plt.scatter(days,Y2,label=’TeamB’,color=’b’)
plt.scatter(days,Y3,label=’TeamC’,color=’y’)
plt.scatter(days,Y4,label=’TeamD’,color=’k’)

plt.xlabel(‘Days’)
plt.ylabel(‘Distance in kms’)
plt.title(‘ Race details in Scatter Plot’)
plt.legend()

Question 15

Make a 3D plot for the following data: x = [1,2,3,4,5]
y1 = [50,40,70,80,20]
y2 = [80,20,20,50,60]
y3 = [70,20,60,40,60]
y4 = [80,20,20,50,60]

Answer 15

import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D # library for 3D

fig = plt.figure()
ax = fig.add_subplot(111, projection=’3d’)

x = [1,2,3,4,5]
y1 = [50,40,70,80,20]
y2 = [80,20,20,50,60]
y3 = [70,20,60,40,60]
y4 = [80,20,20,50,60]
plt.plot(x,y1,’g’,label=’TeamA’, linewidth=5)
plt.plot(x,y2,’c’,label=’TeamB’,linewidth=5)
plt.plot(x,y3,’k’,label=’TeamC’,linewidth=5)
plt.plot(x,y4,’y’,label=’TeamD’,linewidth=5)

plt.title(‘Race details in 3D plot’)
plt.ylabel(‘ Distance in kms’)
plt.xlabel(‘Days’)
plt.legend()

Question 16

Make a histogram for the following data: days = [50,80,70,80,40,20,20,20,70,20,60,20,80,50,40,50,20,60,60,60]
bins = [0,10,20,40,50,60,70,80,90,100]

Answer 16

days = [50,80,70,80,40,20,20,20,70,20,60,20,80,50,40,50,20,60,60,60]
bins = [0,10,20,40,50,60,70,80,90,100]

plt.hist(days, bins, histtype=’stepfilled’, rwidth=0.88) #histtype can be bar/step
plt.xlabel(‘Days’)
plt.ylabel(‘kilometer count’)
plt.title(‘Team race details Histogram’)

Question 17

Move the legend to the bottom right of the graph

Answer 17

plt.legend(‘loc=lower right’)

Question 18

specify that I want a line width of 3 and a line style of - -

Answer 18

lw=3,ls=”- -“

Question 19

Select a column from a dataframe, and create a list to input into a plot.

Answer 19

Example: wash = df[‘facewash’].to_list()

Question 20

What is the method used to set the locations of the x-axis to correspond to the exact numbers (not showing any inbetween values)?

Answer 20

plt.xticks(insert variable here)

e.g.
plt.xticks(months)

Question 21

What is the code that shows the two bars side by side in a bar graph?

Answer 21

align = ‘edge’

Question 22

What is the code to add label names?

Question 23

How can I specify the bar width for two bars, to be the left and right of the x tick?

Answer 23

In the line of code plt.bar(months, facecream, width = -0.4, color = ‘violet’, label=’Facecream’, align=’edge’)
plt.bar(months, facewash, width = 0.4, color = ‘blue’, label=’Facewash’, align=’edge’)

It is width = -0.4 and width = 0.4

Question 24

Make a histogram for all of the series in the dataframe not using MatPlotLib. Use this dataframe: iris_data = pd.read_csv(r”C:\Users\User\Documents\CFG_DATA\data\iris.csv”)

Answer 24

iris_data.hist(edgecolor=’black’)