06 - matplotlib

 

matplotlib

介绍

 

 

 

 

 

 

 

In [20]: plt.plot?        # 帮助文档

Signature: plt.plot(*args, **kwargs)

Docstring:

Plot y versus x as lines and/or markers.

 

Call signatures::

 

    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. It's a shortcut string

notation described in the *Notes* section below.

 

>>> plot(x, y)        # plot x and y using default line style and color

>>> plot(x, y, 'bo')  # plot x and y using blue circle markers

>>> plot(y)           # plot y using x as index array 0..N-1

>>> plot(y, 'r+')     # ditto, but with red plusses

 

You can use `.Line2D` properties as keyword arguments for more

control on the  appearance. Line properties and *fmt* can be mixed.

The following two calls yield identical results:

 

>>> plot(x, y, 'go--', linewidth=2, markersize=12)

>>> plot(x, y, color='green', marker='o', linestyle='dashed',

        linewidth=2, markersize=12)

 

plot函数

 

 

 

 

 

图像标注

 

 

 

 

 

 

 

matplotlib 与 pandas 的关联，之以直接绘图；df.plot()

 

 

绘制数学函数图像

 

练习：

 

 

 

 

 

 

y = x  

y = x^2

y = 3x^3 + 5x^2 + 2x + 1

 

 

 

 

画布与子图

 

 

 

支持的图类型

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

绘制K线图