ec_adjust_layout.py

# adjust the x-axis labels
# step 1: get the x-axis instance. 
# we can do various things on x-axis instance such as axis.get_ticklabels. 
# explore other things that we can do on x-axis: https://matplotlib.org/devdocs/api/axis_api.html
ax = plt.gca().get_xaxis()
# ax2 = plt.gca().xaxis
# print(ax)
# print(ax2)

# step 2: get the ticklabels of the Xaxix 
# ax.get_ticklabels returns the x tick labels as a list of Text instances.
# iterate over each text instance and rotate it
# see other things that you can do on Text here: https://matplotlib.org/devdocs/api/text_api.html#matplotlib.text.Text
for item in ax.get_ticklabels():   
    item.set_rotation(45)
    
# step 3: slide up the subplot of 0.25 so that it does not run off the image  
plt.subplots_adjust(bottom=0.25)

# step 4:
ax = plt.gca()
ax.set_xlabel('Date')
ax.set_ylabel('Units')
# ax.set_title('Exponential vs. Linear performance')
ax.set_title("Exponential ($x^2$) vs. Linear ($x$) performance")

# summary of the steps:
# axes --> axis --> get_ticklabels() --> rotate the text --> adjust subplot