You can use the linestyle argument within the lineplot() function to adjust the style of a line in a seaborn lineplot:

import seaborn as sns

sns.lineplot(data=df, x='x_var', y='y_var', linestyle='dashed')

The most common styles to provide in the linestyle argument include:

• solid (default)
• dashed
• dotted
• dashdot

The following example shows how to change the line style in a seaborn lineplot in practice.

Example: Change Line Style in Seaborn

Suppose we have the following pandas DataFrame that contains information about the sales made each day at some retail store:

import pandas as pd

#create DataFrame
df = pd.DataFrame({'day': [1, 2, 3, 4, 5, 6, 7, 8, 9, 10],
                   'sales': [3, 3, 5, 4, 5, 6, 8, 9, 14, 18]})

#view DataFrame
print(df)

   day  sales
0    1      3
1    2      3
2    3      5
3    4      4
4    5      5
5    6      6
6    7      8
7    8      9
8    9     14
9   10     18

We can use the lineplot() function in seaborn to create a line plot with a solid line:

import seaborn as sns

#create line plot with default line width
sns.lineplot(data=df, x='day', y='sales')

We can also use the linestyle argument to instead use a dashed line:

import seaborn as sns

#create line plot with dashed line
sns.lineplot(data=df, x='day', y='sales', linestyle='dashed')

Or we could use the linestyle argument to instead use a dotted line:

import seaborn as sns

#create line plot with dotted line
sns.lineplot(data=df, x='day', y='sales', linestyle='dotted')

import seaborn as sns

#create line plot with dashdot line
sns.lineplot(data=df, x='day', y='sales', linestyle='dashdot')

Also note that if you create a , the linestyle argument will affect the style of each line in the plot.

The following tutorials explain how to perform other common tasks in seaborn: