How do I plot a line graph with dots for each data point using MatPlotLib in Python?

Question

My desired outcome is a graph that looks like this

ax.plot(df.x, df.y, 'b.-')

where a line is generated with a dot at every location there is a data point. But I also want specific colors like "lightsteelblue".

When I try plotting

ax.plot(df.x, df.y, color='lightsteelblue', ls='.-')

a value error comes up that '.-' is not supported with "ls". Any ideas on how to get around this?

Thanks for your time, -Bojan

can you provide a full reproducible code and a schematic of the expected output? — mozway
– mozway, Commented Mar 15, 2022 at 12:53

gftea · Accepted Answer · 2022-03-15 13:36:57Z

7

below code should work for you

import matplotlib.pyplot as plt
import numpy as np

x = np.linspace(0, np.random.randint(1, 7) , 10)
y = np.linspace(0, np.random.randint(7, 9), 10)

fig, ax = plt.subplots()

ax.plot(x, y, **{'color': 'lightsteelblue', 'marker': 'o'})

plt.show()

output

answered Mar 15, 2022 at 13:36

gftea

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1 Comment

mins Over a year ago

in addition markevery=n can limit the number of markers, one out of n.

flawr · Accepted Answer · 2022-03-15 13:36:22Z

4

The argument ls is short for linestyle, but you're trying to also pass it a marker style. But to pass a marker style you need to use the marker argument, e.g.

ax.plot(x, y, color='black', ls='-', marker='.')

answered Mar 15, 2022 at 13:36

flawr

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