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

how to rotate plot in python | 1.56 | 1 | 2103 | 4 |

rotate 3d plot python | 1.73 | 0.3 | 1457 | 31 |

python 3d plot rotate with mouse | 0.24 | 0.4 | 9632 | 12 |

python plot rotate x labels | 1.27 | 0.4 | 2127 | 17 |

python plot xticks rotate | 0.2 | 0.5 | 9591 | 61 |

python 3d scatter plot rotate with mouse | 0.54 | 0.9 | 5328 | 100 |

python 3d scatter plot rotate | 0.34 | 0.8 | 1302 | 35 |

python 3d plot rotate | 1.48 | 0.4 | 4745 | 23 |

matplotlib 3d plot rotate | 1.11 | 0.5 | 832 | 11 |

Apart from that there is no big problem rotating all the elements in the plot and exchanging the role of x and y axis. Specifically, all texts can get a rotation argument. The data can simply be exchanged, i.e. scatter (y,x). The location of the ticks can be set to the right side ax.yaxis.tick_right ()

plt.plot (-y_coordinates,x_coordinates) will rotate 90 counterclockwise: By swap and sign change you can not only rotate, but also flip the plot. Again, here the plot axes will not be shown correct. Thanks. About the solution, this is the approach I took.

You cannot rotate the toolbar on the plot without completely rewriting it. That seems a bit too much work so I'll leave that out. Apart from that there is no big problem rotating all the elements in the plot and exchanging the role of x and y axis. Specifically, all texts can get a rotation argument.

You can either use python keyword arguments or MATLAB-style string/value pairs: lines = plt . plot ( x1 , y1 , x2 , y2 ) # use keyword args plt . setp ( lines , color = 'r' , linewidth = 2.0 ) # or MATLAB style string value pairs plt . setp ( lines , 'color' , 'r' , 'linewidth' , 2.0 )