multi line plot with seaborn

In this example, we show to do multi-plot graph using seaborn.
In addtion, some of the ways to change fonts sizes are also shown.

import seaborn as sns
import pandas as pd


data = [
         ['A','10','2021-07-01'],
         ['A','12','2021-08-01'],
         ['A','15','2021-09-01'],
         ['A','20','2021-10-01'],
         ['B','20','2021-07-01'],
         ['B','22','2021-08-01'],
         ['B','25','2021-09-01'],
         ['B','30','2021-10-01'],
        
       ]

df = pd.DataFrame(data=data, columns=['company','price','date'])
display(df)

	company	price	date
0	A	10	2021-07-01
1	A	12	2021-08-01
2	A	15	2021-09-01
3	A	20	2021-10-01
4	B	20	2021-07-01
5	B	22	2021-08-01
6	B	25	2021-09-01
7	B	30	2021-10-01

# global change the font scales of the sns plot for easy set up
sns.set(font_scale=2) 
sns.set(style='white')

from matplotlib import pyplot as plt

plt.figure(figsize=(15,8))
 

temp = df.sort_values(by='date')

plot_= sns.lineplot(x="date", y="price", hue="company", data=temp)


# in case too many data points, we can skip some ticks on the x axis
for ind, label in enumerate(plot_.get_xticklabels()):

    if ind % 2 == 0:  # every second label is kept
        label.set_visible(True)
    else:
        label.set_visible(False)

# adjust fonrt size of x axis , y axis and title

#plot_.set_title('example plot')
plot_.axes.set_title("Title",fontsize=50)
plot_.set_xlabel("X Label",fontsize=30)
plot_.set_ylabel("Y Label",fontsize=20)



# adjust lengend font size
plot_.legend(fontsize=20)

plt.xticks(rotation=45)                                                               
plt.tight_layout()     
plt.grid(False)


plt.show()