# Linestyles in Matplotlib Python

Suraj Joshi Jul-18, 2021 Nov-13, 2020 Matplotlib Matplotlib Line

This tutorial focuses on how we can use different line styles in the Matplotlib plot by setting the appropriate value of the `linestyle` parameter in the `matplotlib.pyplot.plot()` method. We have a lot of `linestyle` options available.

## Set Line Styles in Matplotlib Python

``````import math
import numpy as np
import matplotlib.pyplot as plt

x=np.linspace(0,2*math.pi,100)
y=np.sin(x)

plt.plot(x, y)
plt.xlabel("x")
plt.ylabel("sinx")
plt.title("Sinx Function")
plt.show()
``````

Output:

It generates the plot of the `sinx` function with the default line style as `solid`.

To see the choices available for the `linestyle` parameter, we can execute the following script:

``````from matplotlib import lines
print(lines.lineStyles.keys())
``````

Output:

``````dict_keys(['-', '--', '-.', ':', 'None', ' ', ''])
``````

We can use any of the output values to change the line style of the plot.

``````import math
import numpy as np
import matplotlib.pyplot as plt

x=np.linspace(0,2*math.pi,100)
y=np.sin(x)

plt.plot(x,y,linestyle='-.')
plt.xlabel("x")
plt.ylabel("sinx")
plt.title("Sinx Function")
plt.show()
``````

Output:

It sets the line style in our plot to `-.`.

The Matplotlib `Linestyle` documentation provides us a dictionary which we can use to have more refined control over line styles. According to the documentation, we can set the line style with `(offset, (on_off_seq))` tuple.

``````import math
import numpy as np
import matplotlib.pyplot as plt

from collections import OrderedDict

linestyles_dict = OrderedDict(
[('solid',               (0, ())),
('loosely dotted',      (0, (1, 10))),
('dotted',              (0, (1, 5))),
('densely dotted',      (0, (1, 1))),

('loosely dashed',      (0, (5, 10))),
('dashed',              (0, (5, 5))),
('densely dashed',      (0, (5, 1))),

('loosely dashdotted',  (0, (3, 10, 1, 10))),
('dashdotted',          (0, (3, 5, 1, 5))),
('densely dashdotted',  (0, (3, 1, 1, 1))),

('loosely dashdotdotted', (0, (3, 10, 1, 10, 1, 10))),
('dashdotdotted',         (0, (3, 5, 1, 5, 1, 5))),
('densely dashdotdotted', (0, (3, 1, 1, 1, 1, 1)))])

x=np.linspace(0,2*math.pi,100)
y=np.sin(x)

plt.plot(x,y,linestyle=linestyles_dict['loosely dashdotdotted'])
plt.xlabel("x")
plt.ylabel("sinx")
plt.title("Sinx Function")
plt.show()
``````

Output:

It sets the `linestyle` using the `linestyles_dict` dictionary. We can select any key that we want to set the line style to and pass the value of that key for the `linestyles_dict` dictionary as a `linestyle` parameter in the `plot()` method.

## Related Article - Matplotlib Line

• Plot Horizontal and Vertical Line in Matplotlib
• Label Lines in Matplotlib
• Draw Vertical Lines on a Plot Matplotlib
• Plot Multiple Lines in Python Matplotlib