安裝中文字典英文字典辭典工具!
安裝中文字典英文字典辭典工具!
|
- matplotlib. pyplot. plot — Matplotlib 3. 10. 3 documentation
plot ([x], y, [fmt], *, data = None, ** kwargs) plot ([x], y, [fmt], [x2], y2, [fmt2], , ** kwargs) The coordinates of the points or line nodes are given by x , y The optional parameter fmt is a convenient way for defining basic formatting like color, marker and linestyle
- Matplotlib — Visualization with Python
Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python Matplotlib makes easy things easy and hard things possible Create publication quality plots
- Examples — Matplotlib 3. 10. 3 documentation
For an overview of the plotting methods we provide, see Plot types This page contains example plots Click on any image to see the full image and source code For longer tutorials, see our tutorials page You can also find external resources and a FAQ in our
- Plot types — Matplotlib 3. 10. 3 documentation
Overview of many common plotting commands provided by Matplotlib See the gallery for more examples and the tutorials page for longer examples Pairwise data #
- plot(x, y) — Matplotlib 3. 10. 3 documentation
import matplotlib pyplot as plt import numpy as np plt style use ('_mpl-gallery') # make data x = np linspace (0, 10, 100) y = 4 + 1 * np sin (2 * x) x2 = np linspace (0, 10, 25) y2 = 4 + 1 * np sin (2 * x2) # plot fig, ax = plt subplots ax plot (x2, y2 + 2 5, 'x',
- Quick start guide — Matplotlib 3. 10. 3 documentation
Matplotlib graphs your data on Figure s (e g , windows, Jupyter widgets, etc ), each of which can contain one or more Axes, an area where points can be specified in terms of x-y coordinates (or theta-r in a polar plot, x-y-z in a 3D plot, etc )
- Tutorials — Matplotlib 3. 10. 3 documentation
The Lifecycle of a Plot Artist tutorial Artist tutorial Download all examples in Python source code: tutorials_python zip Download all examples in Jupyter notebooks: tutorials_jupyter zip User guide tutorials# Many of our tutorials were moved from this section to : #
- matplotlib. pyplot — Matplotlib 3. 10. 3 documentation
It provides an implicit, MATLAB-like, way of plotting It also opens figures on your screen, and acts as the figure GUI manager pyplot is mainly intended for interactive plots and simple cases of programmatic plot generation:
|
|
|