Matplotlib

Question 1

Import the pyplot module

Answer 1

import matplotlib.pyplot as plt

Question 2

Allow plots to display in Jupyter Notebook cell

Answer 2

%matplotlib inline

Question 3

Plot and display the visual

Answer 3

plt. plot()

plt. show()

Question 4

Create a figure sized 12 wide and 5 high containing 2 rows and 3 columns of subplots

Answer 4

fig, axs = plt.subplots(2, 3, figsize=(12, 5) )

Question 5

Create a line chart

Answer 5

ax.plot(x, y)

Question 6

Add a super title to a figure

Answer 6

fig.suptitle(‘Main Title for Figure’)

Question 7

Create a title for the top right corner axes of a 2x2 grid of subplots

Answer 7

axs[0,1].set_title(‘Subplot Title’)

Question 8

Create a figure with two vertically stacked subplots that share the same x & y axis range and scale

Answer 8

fig, axes = plt.subplots(2, sharex=True, sharey=True)

Question 9

Generate a vertical bar plot

Answer 9

ax.bar( bar_positions, bar_heights, width_of_bars)

Question 10

Set x major tick marks and y minor tick mark locations

Answer 10

ax. set_xticks( locations_list)

ax. setyticks(locations_list, minor=True)

Question 11

Set x tick labels rotated 90 degrees

Answer 11

Should be only used after ax.set_xticks() to ensure correct position

ax.set_xticklabels( labels_list, rotation=90)

Question 12

Create a scatter plot

Answer 12

ax.scatter(x, y)

Question 13

Create a histogram with 20 bins

Answer 13

ax.hist( x, bins = 20)

Question 14

Create boxplots for columnA and columnB of dataframe

Answer 14

ax.boxplot( df[ [‘columnA’, ‘columnB’].values )

Question 15

Set a subplot’s y-axis view limit range to 0-50

Answer 15

ax.set_ylim(0,50)

Question 16

Remove tick marks from the top and bottom of the x-axis as well as any labels on the bottom x-axis

Answer 16

ax.tick_params(
axis=’x’, # changes apply to the x-axis
which=’both’, # affect both major and minor ticks
bottom=False, # bottom edge ticks are off
top=False, # top edge ticks are off
labelbottom=False) # bottom edge labels are off

Question 17

Remove all spines

Answer 17

ax. spines[“top”].set_visible(False)
ax. spines[“bottom”].set_visible(False)
ax. spines[“left”].set_visible(False)
ax. spines[“right”].set_visible(False)

                     -OR-

for key, spine in ax.spines.items():
spine.set_visible(False)
#spines is a dict and dict.items() unpacks key value tuples

Question 18

Annotate some text onto a subplot

Answer 18

ax.text( x, y, comment_str)