续上篇
绘制散点图的函数,x,y分别对应点的x轴坐标和y轴坐标
plt.scatter(x,y)
matplotlib.pyplot.scatter(x, y, s=None, c=None, marker=None,
cmap=None, norm=None, vmin=None, vmax=None, alpha=None, linewidths=None,
verts=None, edgecolors=None, , data=None, **kwargs)[source]
继续测试marker,实际上marker涉及的内容比想象的复杂,marker 定义:
markers = {
‘.’: ‘point’,
‘,’: ‘pixel’,
‘o’: ‘circle’,
‘v’: ‘triangle_down’,
‘^’: ‘triangle_up’,
‘<’: ‘triangle_left’,
‘>’: ‘triangle_right’,
‘1’: ‘tri_down’,
‘2’: ‘tri_up’,
‘3’: ‘tri_left’,
‘4’: ‘tri_right’,
‘8’: ‘octagon’,
‘s’: ‘square’,
‘p’: ‘pentagon’,
'’: ‘star’,
‘h’: ‘hexagon1’,
‘H’: ‘hexagon2’,
‘+’: ‘plus’,
‘x’: ‘x’,
‘D’: ‘diamond’,
‘d’: ‘thin_diamond’,
‘|’: ‘vline’,
‘_’: ‘hline’,
‘P’: ‘plus_filled’,
‘X’: ‘x_filled’,
TICKLEFT: ‘tickleft’,
TICKRIGHT: ‘tickright’,
TICKUP: ‘tickup’,
TICKDOWN: ‘tickdown’,
CARETLEFT: ‘caretleft’,
CARETRIGHT: ‘caretright’,
CARETUP: ‘caretup’,
CARETDOWN: ‘caretdown’,
CARETLEFTBASE: ‘caretleftbase’,
CARETRIGHTBASE: ‘caretrightbase’,
CARETUPBASE: ‘caretupbase’,
CARETDOWNBASE: ‘caretdownbase’,
“None”: ‘nothing’,
None: ‘nothing’,
’ ': ‘nothing’,
‘’: ‘nothing’
}
可以看出marker实际是一个dict,补充定义
0 (TICKLEFT) m25 tick
原 matplotlib散点scatter学习2,参数测试(marker1)
最新推荐文章于 2025-04-14 16:06:42 发布