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matplotlib.pyplot.pcolormesh

2019年01月27日  | 移动技术网IT编程  | 我要评论

 matplotlib.pyplot.pcolormesh(*argsalpha=nonenorm=nonecmap=nonevmin=nonevmax=noneshading='flat'antialiased=falsedata=none**kwargs)      创建一个带有不规则矩形网格的伪彩色图

 
parameters:
c array_like

a scalar 2-d array. the values will be color-mapped.

x, y array_like, optional

the coordinates of the quadrilateral corners. the quadrilateral for c[i,j] has corners at:

(x[i+1, j], y[i+1, j])          (x[i+1, j+1], y[i+1, j+1])
                      +--------+
                      | c[i,j] |
                      +--------+
    (x[i, j], y[i, j])          (x[i, j+1], y[i, j+1]),

note that the column index corresponds to the x-coordinate, and the row index corresponds to y. for details, see the notes section below.

the dimensions of x and y should be one greater than those of c. alternatively, xy and c may have equal dimensions, in which case the last row and column of c will be ignored.

if x and/or y are 1-d arrays or column vectors they will be expanded as needed into the appropriate 2-d arrays, making a rectangular grid.

cmap str or colormap, optional

a colormap instance or registered colormap name. the colormap maps the c values to colors. defaults to rcparams["image.cmap"].

norm normalize, optional

the normalize instance scales the data values to the canonical colormap range [0, 1] for mapping to colors. by default, the data range is mapped to the colorbar range using linear scaling.

normalize实例将数据值缩放到用于映射到颜色的规范化colormap范围[0,1]。默认情况下,使用线性缩放将数据范围映射到colorbar范围。

vmin, vmax scalar, optional, default: none

the colorbar range. if none, suitable min/max values are automatically chosen by the normalizeinstance (defaults to  the respective min/max values of c in case of the default linear scaling).

edgecolors {'none', none, 'face', color, color sequence}, optional

  边缘颜色,默认none:

the singular form edgecolor works as an alias.

alpha scalar, optional, default: none

  透明度

shading {'flat', 'gouraud'}, optional

the fill style, possible values:

  填充式样

  • 'flat': a solid color is used for each quad. the color of the quad (i, j), (i+1, j), (i, j+1), (i+1, j+1) is given by c[i,j].
  • 'gouraud': each quad will be gouraud shaded: the color of the corners (i', j') are given by c[i',j']. the color values of the area in between is interpolated from the corner values. when gouraud shading is used, edgecolors is ignored.
snap bool, optional, default: false

whether to snap the mesh to pixel boundaries.

returns:
mesh matplotlib.collections.quadmesh

 

 

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