Keyword | CPC | PCC | Volume | Score | Length of keyword |
---|---|---|---|---|---|

rotate 3d plot matplotlib jupyter | 1.87 | 0.5 | 8747 | 53 | 33 |

rotate | 1.07 | 0.4 | 86 | 31 | 6 |

3d | 1.62 | 0.4 | 6004 | 10 | 2 |

plot | 1.46 | 0.6 | 6434 | 50 | 4 |

matplotlib | 1.02 | 0.8 | 564 | 49 | 10 |

jupyter | 0.18 | 0.3 | 8050 | 14 | 7 |

Keyword | CPC | PCC | Volume | Score |
---|---|---|---|---|

rotate 3d plot matplotlib jupyter | 1.66 | 0.5 | 7457 | 61 |

rotate 3d plot matplotlib | 1.27 | 0.1 | 4825 | 32 |

jupyter 3d plot rotate | 0.07 | 0.7 | 1185 | 89 |

matplotlib rotate 3d plot interactive | 1.81 | 0.4 | 3700 | 26 |

rotate 3d scatter plot matplotlib | 0.47 | 0.9 | 9286 | 23 |

jupyter notebook 3d plot rotate | 0.23 | 0.9 | 3858 | 77 |

matplotlib interactive 3d plot jupyter | 1.75 | 0.7 | 3706 | 95 |

matplotlib 3d rotate view | 0.2 | 1 | 6134 | 6 |

rotate 3d graph matplotlib | 0.2 | 1 | 7227 | 27 |

how to rotate plot in matplotlib | 0.79 | 0.3 | 2310 | 63 |

matplotlib 3d rotate animation | 1.69 | 0.3 | 4362 | 78 |

matplotlib 3d 回転 jupyter | 1.19 | 0.5 | 7553 | 89 |

interactive plot matplotlib jupyter | 0.74 | 0.7 | 5303 | 46 |

rotate 3d plot python | 0.08 | 0.8 | 5873 | 4 |

matplotlib plot in jupyter notebook | 0.38 | 0.3 | 3420 | 99 |

how to rotate image in matplotlib | 1.38 | 1 | 1949 | 23 |

matplotlib animation in jupyter notebook | 1.94 | 0.2 | 3351 | 64 |

how to use matplotlib in jupyter | 1.48 | 0.9 | 1820 | 97 |

rotating image in matplotlib | 0.51 | 0.5 | 6822 | 82 |

One way to rotate your plots is by using the magic command %matplotlib notebook at the top of your Jupyter notebooks. If you do this, all your plots appear in interactive windows. If instead, you use %matplotlib inline (the default settings), you have to rotate your plots using code.

Initially, matplotlib was used to plot and visualize only 2D graphs, but we should thank the mplot3d toolkit available in the matplotlib library. We can visualize 3D plots such as 3D scatter plots, 3D line plots, Surface plots, Rotated plot angles, etc.

To plot 3-D plots in python, we need to import the mplot3d library from the standard installation of matplotlib library from python. As matplotlib is a third-party library, it doesn’t come with a standard installation of python, so you need to install matplotlib before following this article.

If instead, you use %matplotlib inline (the default settings), you have to rotate your plots using code. Two attributes that control the rotation of a 3D plot: ax.elev and ax.azim, which represent the elevation and azimuthal angles of the plot, respectively.