CODEWITHSUNDEEP
pythonmatplotlibplotmatplotlib-3d
user2295350
user2295350

Reputation: 303

3D plots in Python

How could I plot the following data in 3 dimensions? (apparently, there are more than that!)

data = [[10, 10, 0.84496124031007758],
        [10, 20, 0.87209302325581395],
        [10, 30, 0.88139534883720927],
        [20, 10, 0.86201550387596892],
        [20, 20, 0.87441860465116272],
        [20, 30, 0.88992248062015500],
        [30, 10, 0.87984496124031009],
        [30, 20, 0.89922480620155043],
        [30, 30, 0.92015503875968996]]

Upvotes: 5

Views: 8910

Answers (3)

rozumir
rozumir

Reputation: 905

It's basicaly adding projection='3d' to your subplot.

import matplotlib.pyplot as plt
import numpy as np


fig = plt.figure() # create new figure
ax = fig.add_subplot(projection='3d') # add 3d plot

n = 100 # number of points

# random points
x = np.random.rand(n)
y = np.random.rand(n)
z = np.random.rand(n)

# make and show plot
ax.scatter(x, y, z)
plt.show()

With ax.scatter you can configure points markers, color and others.

Looks like the figure enter image description here

Upvotes: 0

Dmotrop
Dmotrop

Reputation: 1

You can also use DataMelt http://jwork.org/dmelt. You can parse this file in pythonic way as in the previous example ANF than use HPlot or HPlotJa or SPlot java classes to visualize the data. You can also export to Esp or pdf image files

Upvotes: 0

Garth5689
Garth5689

Reputation: 622

what kind of plot are you trying to get? Try this for a scatter plot. I'm also assuming your data is listed in x,y,z lists in your question.

import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D

x, y, z = zip(*data)

fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
ax.scatter(x,y,z)
plt.show()

Upvotes: 8

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