利用Python实现绘制论文中的曲线图
目录
- 1、折线图 plt.plot()
- 2.实际案例
- 3.颜色补充
1、折线图 plt.plot()
常用的一些参数:
颜色(color):
- ‘c’ 青红(cyan)
- ‘r’ 红色(red)
- ‘m’ 品红(magente)
- ‘g’ 绿色(green)
- ‘y’ 黄色(yellow)
- ‘k’ 黑色(black)
- ‘w’ 白色(white)
- ‘b’ 蓝色(blue)
折线形式(linestyle):
- ‘-’ 实线
- ‘–’ 虚线
- ‘-.’ 点划线
- ‘:’ 点线
拐点形状(marker):
- ‘h’ 六边形
- ‘H’ 六边形(跟h不同)
- ‘^’ 三角形(尖端向上)
- ‘>’ 三角形(尖端向右)
- ‘<’ 三角形(尖端向左)
- ‘*’ 五角星
- ‘+’ 加号
- ‘-’ 减号
- ‘d’ 菱形
- ‘D’ 菱形(跟d不同)
- ‘p’ 五边型
- ‘o’ 圆圈
使用举例:
# 红色-虚线-五角星-线粗细为2 plt.plot(x, y, color='r', linestyle='--', marker='*', linewidth=2)
2.实际案例
import matplotlib import numpy as np from matplotlib import pyplot as plt # matplotlib画图中中文显示会有问题,需要这两行设置默认字体.没中文可以去掉 plt.rcParams['font.sans-serif']=['SimHei'] plt.rcParams['axes.unicode_minus'] = False # 输入数据 x=[1,2,3,4,5] y=[2,4,6,7,8] #数据及线属性 plt.plot(x, y, color='r', linestyle='--', marker='*', linewidth=2) #标题设置 plt.title('图标名称') plt.xlabel('x轴标题') plt.ylabel('y轴标题') # plt.grid(True) # 这句用来显示网格 plt.show()
3.颜色补充
颜色大全 (使用时输入前面的颜色名字或者后面的字母 都可)
'aliceblue': '#F0F8FF',
'antiquewhite': '#FAEBD7','aqua': '#00FFFF','aquamarine': '#7FFFD4','azure': '#F0FFFF','beige': '#F5F5DC','bisque': '#FFE4C4','black': '#000000','blanchedalmond': '#FFEBCjsD','blue': '#0000FF','blueviolet': '#8A2BE2','brown': '#A52A2A','burlywood': '#DEB887','cadetblue': '#5F9EA0','chartreuse': '#7FFF00','chocolate': 开发者_Js入门9;#D2691E','coral': '#FF7F50','cornflowerblue': '#6495ED','cornsilk': '#FFF8DC','crimson': '#DC143C','cyan': '#00FFFF','darkblue': '#00008B','darkcyan': '#008B8B','darkgoldenrod': '#B8860B','darkgray': '#A9A9A9','darkgreen': '#006400','darkkhaki': '#BDB76B','darkmagenta': '#8B008B','darkolivegreen': '#556B2F','darkorange': '#FF8C00','darkorchid': '#9932CC','darkred': '#8B0000','darksalmon': '#E9967A','darkseagreen': '#8FBC8F','darkslateblue': '#483D8B','darkslategray': &nbLXJVhTsp; '#2F4F4F','darkturquoise': '#00CED1','darkviolet': '#9400D3','deeppink': '#FF1493','deepskyblue': '#00BFFF','dimgray': '#696969','dodgerblue': '#1E90FF','firebrick': '#B22222','floralwhite': '#FFFAF0','forestgreen': '#228B22','fuchsia': '#FF00FF','gainsboro': '#DCDCDC','ghostwhite': '#F8F8FF','gold': '#FFD700','goldenrod': '#DAA520','gray': '#808080','green': '#008000','greenyellow': '#ADFF2F','honeydew': '#F0FFF0','hotpink': '#FF69B4','indianred': '#CD5C5C','indigo': '#4B0082','ivory': '#FFFFF0','khaki': '#F0E68C','lavender': '#E6E6FA','lavenderblush': '#FFF0F5','lawngreen': '#7CFC00','lemonchiffon': '#FFFACD','lightblue': '#ADD8E6','lightcoral': '#F08080','lightcyan': '#E0FFFF','lightgoldenrodyellow': '#FAFAD2','lightgreen': '#90EE90','lightgray': '#D3D3D3','lightpink': '#FFB6C1','lightsalmon': '#FFA07A','lightseagreen': '#20B2AAhttp://www.devze.com9;,'lightskyblue': '#87CEFA','lightslategray': '#778899','lightsteelblue': '#B0C4DE','lightyellow': '#FFFFE0','lime': '#00FF00','limegreen': '#32CD32','linen': '#FAF0E6','magenta': '#FF00FF','maroon': '#800000','mediumaquamarine': '#66CDAA','mediumblue': '#0000CD','mediumorchid': '#BA55D3','mediumpurple': '#9370DB','mediumseagreen': '#3CB371javascript9;,'mediumslateblue': '#7B68EE','mediumspringgreen': '#00FA9A','mediumturquoise': '#48D1CC','mediumvioletred': '#C71585','midnightblue': '#191970','mintcream': '#F5FFFA','mistyrose': '#FFE4E1','moccasin': '#FFE4B5','navajowhite': '#FFDEAD','navy': '#000080','oldlace': '#FDF5E6','olive': '#808000','olivedrab':  android; '#6B8E23','orange': '#FFA500','orangered': '#FF4500','orchid': '#DA70D6','palegoldenrod': '#EEE8AA','palegreen': '#98FB98','paleturquoise': '#AFEEEE','palevioletred': '#DB7093','papayawhip': '#FFEFD5','peachpuff': '#FFDAB9','peru': '#CD853F','pink': '#FFC0CB','plum': '#DDA0DD','powderblue': '#B0E0E6','purple': '#800080','red': '#FF0000','rosybrown': '#BC8F8F','royalblue': '#4169E1','saddlebrown': '#8B4513','salmon': '#FA8072','sandybrown': '#FAA460','seagreen': '#2E8B57','seashell': '#FFF5EE','sienna': '#A0522D','silver': '#C0C0C0','skyblue': '#87CEEB','slateblue': '#6A5ACD','slategray': '#708090','snow': '#FFFAFA','springgreen': '#00FF7F','steelblue': '#4682B4','tan': '#D2B48C','teal': '#008080','thistle': '#D8BFD8','tomato': '#FF6347','turquoise': '#40E0D0','violet': '#EE82EE','wheat': '#F5DEB3','white': '#FFFFFF','whitesmoke': '#F5F5F5','yellow': '#FFFF00','yellowgreen': '#9ACD32'
到此这篇关于利用python实现绘制论文中的曲线图的文章就介绍到这了,更多相关Python论文曲线图内容请搜索我们以前的文章或继续浏览下面的相关文章希望大家以后多多支持我们!
精彩评论