matplotlib.pyplot.plot()

matplotlib.pyplot.plot()是matplotlib库中的一个函数，plot有绘图之意，py是python的简写。

matplotlib.pyplot.plot(*args, **kwargs)

    下面是plot函数得两种形式，plot把x与y画成线，或者标记（ Plot y versus x as lines and/or markers），第二种形式在一个图中要画出多条线的话可以用，同样也可以重复使用形式一达到目的

plot([x], y, [fmt], data=None, **kwargs)
plot([x], y, [fmt], [x2], y2, [fmt2], ..., **kwargs)其中可以缺少x的数据，会自动以自然数的形式补齐（0,1......n）

1.输入数据类型

    （1）x 和 y 都是一维列表或数组；

    （2）x 是n*1数组或列表，y是一维长度为n的数组或列表；

    （3）x是m*n数组或列表，y是m*1列表或数组。如下例子，画出的图如下。

会产生20个点，十对。

x = [[-0.07816532  0.05068012  0.07786339  0.05285819  0.07823631  0.0644473
   0.02655027 -0.00259226  0.04067226 -0.00936191]
 [ 0.0090156   0.05068012 -0.03961813  0.0287581   0.03833367  0.0735286

  -0.07285395  0.1081111   0.01556684 -0.04664087]]

y = [ 201.12401963  150.05917612]

matplotlib.pyplot.plot(x,y)

2.fmt是shortcut string notation ，其形式为 

    fmt = '[color][marker][line]'，颜色，点标记类型，画线类型。

    （1）颜色表：

character	color
'b'	blue
'g'	green
'r'	red
'c'	cyan
'm'	magenta
'y'	yellow
'k'	black
'w'	white

    （2）点类型

character	description
'.'	point marker
','	pixel marker
'o'	circle marker
'v'	triangle_down marker
'^'	triangle_up marker
'<'	triangle_left marker
'>'	triangle_right marker
'1'	tri_down marker
'2'	tri_up marker
'3'	tri_left marker
'4'	tri_right marker
's'	square marker
'p'	pentagon marker
'*'	star marker
'h'	hexagon1 marker
'H'	hexagon2 marker
'+'	plus marker
'x'	x marker
'D'	diamond marker
'd'	thin_diamond marker
'|'	vline marker
'_'	hline marker

    （3）线条类型

character	description
'-'	solid line style
'--'	dashed line style
'-.'	dash-dot line style
':'	dotted line style

3.**kwargs包含fmt，如果即在fmt中定义了，然后又重复在**kwargs中定义，那么以**kwargs为准。

Property	Description
agg_filter	a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array
alpha	float (0.0 transparent through 1.0 opaque)
animated	bool
antialiased or aa	bool
clip_box	a Bbox instance
clip_on	bool
clip_path	[(Path, Transform) | Patch | None]
color or c	any matplotlib color
contains	a callable function
dash_capstyle	[‘butt’ | ‘round’ | ‘projecting’]
dash_joinstyle	[‘miter’ | ‘round’ | ‘bevel’]
dashes	sequence of on/off ink in points
drawstyle	[‘default’ | ‘steps’ | ‘steps-pre’ | ‘steps-mid’ | ‘steps-post’]
figure	a Figure instance
fillstyle	[‘full’ | ‘left’ | ‘right’ | ‘bottom’ | ‘top’ | ‘none’]
gid	an id string
label	object
linestyle or ls	[‘solid’ | ‘dashed’, ‘dashdot’, ‘dotted’ | (offset, on-off-dash-seq) | '-' | '--' | '-.' | ':' | 'None' | ' ' | '']
linewidth or lw	float value in points
marker	A valid marker style
markeredgecolor or mec	any matplotlib color
markeredgewidth or mew	float value in points
markerfacecolor or mfc	any matplotlib color
markerfacecoloralt or mfcalt	any matplotlib color
markersize or ms	float
markevery	[None | int | length-2 tuple of int | slice | list/array of int | float | length-2 tuple of float]
path_effects	AbstractPathEffect
picker	float distance in points or callable pick function fn(artist,event)
pickradius	float distance in points
rasterized	bool or None
sketch_params	(scale: float, length: float, randomness: float)
snap	bool or None
solid_capstyle	[‘butt’ | ‘round’ | ‘projecting’]
solid_joinstyle	[‘miter’ | ‘round’ | ‘bevel’]
transform	a matplotlib.transforms.Transform instance
url	a url string
visible	bool
xdata	1D array
ydata	1D array
zorder	float