Overlay a scatter plot to a line plot in matplotlib

Question

Good day! I have this code on jupyter

import pandas as pd
import matplotlib.pyplot

data = pd.read_csv("data.txt")

data.plot(x="Northings", y="Eastings")
data.plot.scatter(x="Northings", y="Eastings")

Is there a way to combine these two plots shown below? Since this is technically a plot of land and I have to show the points of each coordinates. Or is there a better way to approach this?

If needed here are the coordinates contained in the "data.txt"

Station Northings   Eastings
1   10001.00    10001.00
2   10070.09    10004.57
3   10105.80    10001.70
4   10110.55    9964.66
5   10117.83    9908.10
6   10062.37    9893.94
7   10007.37    9902.18
8   10003.68    9943.23

You could do ax = data.plot(x="Northings", y="Eastings")followed by data.plot.scatter(x="Northings", y="Eastings", ax=ax) to plot both on the same ax. In matplotlib an ax is a representation for a subplot. — JohanC
– JohanC, Commented Apr 16, 2021 at 19:15

Cameron Riddell · Accepted Answer · 2021-04-16 18:13:09Z

2

You should be able to use matplotlib to create an Axes object, then pass that Axes object to each of your plotting methods like so:

import pandas as pd
import matplotlib.pyplot as plt

data = pd.read_csv("data.txt")

fig, ax = plt.subplots()
data.plot(x="Northings", y="Eastings", ax=ax)
data.plot.scatter(x="Northings", y="Eastings", ax=ax)

answered Apr 16, 2021 at 18:13

Cameron Riddell

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