multiple_figures():多图 plotting_explicit():显式绘图 drawing_text():添加文本 drawing_annotation():添加箭头 drawing_bounding_box():添加注释边框 drawing_bounding_box_xkcd():手绘样式 plotting_legend():图例 plotting_logarithmic():对数刻度 plotting_ticks_tickers():刻度标签 plotting_polar():极坐标 plot...
Explicitly create figures and axes, and call methods on them (the ”object-oriented (OO) style”). Rely on pyplot to automatically create and manage the figures and axes, and use pyplot functions for plotting. In general, we suggest to restrict pyplot to interactive plotting, and to prefer ...
a y-label set viaset_ylabel()). TheAxesclass and its member functions arethe primary entry point to working with the OOP interface, and havemost of the plotting methods defined on them (e.g.ax.plot(), shown above, uses theplotmethod) Axis These objects set thescaleandlimitsandgenerate ...
**kwargs) 1112 # Need the decorated plotting function 1113 allargs["plotfunc"] = globals()[plotfunc.__name__] -> 1114 return _easy_facetgrid(darray, kind="dataarray", **allargs) 1115 1116 plt = import_matplotlib_pyplot() /opt/conda/lib/python3.9/site-packages/xarray/plot/facetgrid....
Create publication quality plots. Make interactive figures that can zoom, pan, update. Customize visual style and layout. Export to many file formats . Embed in JupyterLab and Graphical User Interfaces. Use a rich array of third-party packages built on Matplotlib. ...
Plotting multiple graphs on the same axes Getting ready How to do it... How it works... Plotting subplots on the same figure Getting ready How to do it... How it works... There's more... Plotting multiple figures in a session Getting ready How to do it... How it works... Ther...
1. 4. Multiple figures and axes MATLAB, and pyplot, have the concept of the currentfigureand thecurrentaxes. All plotting commands apply to the current axes. The functiongca()returns the current axes (a matplotlib.axes.Axes instance), andgcf()returns the current figure (matplotlib.figure.Fig...
The Matplotlib Object Hierarchy Stateful Versus Stateless Approaches Understanding plt.subplots() Notation The “Figures” Behind The Scenes A Burst of Color: imshow() and matshow() Plotting in Pandas Wrapping Up More Resources Appendix A: Configuration and Styling Appendix B: Interactive ModeRemove...
state-machine 会自动和以用户无感的方式创建 Figures(图)对象 和 axes (轴域),以实现所需的绘图操作。 具体一点: plt.plot() 的第一个调用将自动创建 Figure 和 Axes 对象,以实现所需的绘图。对 plt.plot() 后续的调用会重复使用当前 Axes 对象,并每次添加一行。设置 title 标题、legend 图例等,都会使用当...
matplotlib: plotting with Python. Contribute to matplotlib/matplotlib development by creating an account on GitHub.