Changing Seaborn Lineplot Color

The color of a Seaborn lineplot can be controlled using the `palette` argument. This argument accepts a list of colors, which will be used to color the lines in the plot in order. If the `hue` argument is used to group the data into different categories, then the lines will be colored according to the `palette` argument, with one color assigned to each category.

If the `hue` argument is not used, then all of the lines in the plot will be colored the same. The default color for Seaborn lineplots is blue.

To change the color of a Seaborn lineplot, you can simply pass a list of colors to the `palette` argument. For example, the following code will create a lineplot with two lines, colored in red and blue:

import seaborn as sns

df = sns.load_dataset('tips')

sns.lineplot(
    x='total_bill',
    y='tip',
    data=df,
    palette=['red', 'blue']
)

You can also use named colors from the Matplotlib colormap library. For example, the following code will create a lineplot with two lines, colored in red and blue:

import seaborn as sns
import matplotlib.colors as mcolors

df = sns.load_dataset('tips')

sns.lineplot(
    x='total_bill',
    y='tip',
    data=df,
    palette=[mcolors.to_rgba('red'), mcolors.to_rgba('blue')]
)

You can also use a colormap object to color the lines in a Seaborn lineplot. This is useful for plotting data that is encoded using a colormap.