Soumyabojaraj/codecademy-constellation/blob/main/constellation (2).ipynb

board2336115772 · June 22, 2021, 1:46pm

soumyabojaraj/codecademy-constellation/blob/main/constellation (2).ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Project: Visualizing the Orion Constellation\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. Set-Up\n",
    "The following set-up is new and specific to the project. It is very similar to the way you have imported Matplotlib in previous lessons.\n",
    "\n",
    "+ Add `%matplotlib notebook` in the cell below. This is a new statement that you may not have seen before. It will allow you to be able to rotate your visualization in this jupyter notebook.\n",
    "\n",
    "+ We will be using a subset of Matplotlib: `matplotlib.pyplot`. Import the subset as you have been importing it in previous lessons: `from matplotlib import pyplot as plt`\n",
    "\n",

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This is my orion constellation project. Reviews are welcome. Thank you

tgrtim · June 22, 2021, 8:28pm

Congrats on finishing up. I think it’s worth having a second look at your 2nd figure. It hasn’t actually rendered in 3D because the standard plt.scatter function is just a 2D plotting function.

You need to use the .scatter method of a 3D axis. If you retain a reference to the axis you created (similar to the following)-
ax3d = fig_3d.add_subplot(1,1,1,projection="3d")

you can then use it to call the correct .scatter method-
constellation3d = ax3d.scatter(x,y,z, color = "green")

which should give you an actual 3D plot.

board2336115772 · June 23, 2021, 6:30am

Thank you for the feedback.

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Soumyabojaraj/codecademy-constellation/blob/main/constellation (2).ipynb

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