How to plot a multiple line plot in Seaborn using specific columns? [duplicate]

Here I assume that the years are strings and the values are integers.

Seaborn expects data in tidy format, so first you might transform your dataframe.

import seaborn as sns
import pandas as pd


df = pd.DataFrame(
    [
        {"name": "A", "2015": 99, "2016": 98, "2017": 95, "2018": 99},
        {"name": "B", "2015": 76, "2016": 89, "2017": 83, "2018": 85},
        {"name": "C", "2015": 88, "2016": 89, "2017": 91, "2018": 91},
    ]
)

df.set_index("name", inplace=True)
tidy = df.stack().reset_index().rename(columns={"level_1": "year", 0: "values"})

Here is the outcome

    name    year    values
0   A   2015    99
1   A   2016    98
2   A   2017    95
3   A   2018    99
4   B   2015    76
5   B   2016    89
6   B   2017    83
7   B   2018    85
8   C   2015    88
9   C   2016    89
10  C   2017    91
11  C   2018    91

Then, you can

1. filter it for the years you want
2. pass it as a data parameter
3. specify the columns at x, y, and hue

sns.lineplot(
    data=tidy[tidy["year"].isin(["2016", "2018"])], x="year", y="values", hue="name"
)

The result