Python交互图表可视化Bokeh：2. 辅助参数
Posted kris12
tags:
篇首语：本文由小常识网(cha138.com)小编为大家整理，主要介绍了Python交互图表可视化Bokeh：2. 辅助参数相关的知识，希望对你有一定的参考价值。
图表辅助参数设置
辅助标注、注释、矢量箭头
参考官方文档：https://bokeh.pydata.org/en/latest/docs/user_guide/annotations.html#color-bars
1. 辅助标注 - 线
import numpy as np import pandas as pd import matplotlib.pyplot as plt % matplotlib inline import warnings warnings.filterwarnings(\'ignore\') # 不发出警告 from bokeh.io import output_notebook output_notebook() # 导入notebook绘图模块 from bokeh.plotting import figure,show # 导入图表绘制、图标展示模块
upper = Span( location=1, dimension=\'width\', line_color=\'olive\', line_width=4,line_dash = [8,4] )
p.add_layout(upper)
# 辅助标注 - 线 from bokeh.models.annotations import Span # 导入Span模块 x = np.linspace(0, 20, 200) y = np.sin(x) # 创建x，y数据 p = figure(y_range=(-2, 2)) p.line(x, y) # 绘制曲线 upper = Span(location=1, # 设置位置，对应坐标值 dimension=\'width\', # 设置方向，width为横向，height为纵向 line_color=\'olive\', line_width=4, # 设置线颜色、线宽 line_dash = [8,4] ) p.add_layout(upper) # 绘制辅助线1 lower = Span(location=-1, dimension=\'width\', line_color=\'firebrick\', line_width=4) p.add_layout(lower) # 绘制辅助线2 show(p)
2. 辅助标注 - 矩形
upper = BoxAnnotation(bottom=1, fill_alpha=0.1, fill_color=\'olive\', line_width = 2, line_dash = [6,2], line_color = \'red\')
p.add_layout(upper)
# 绘制辅助矩形1
# 辅助标注 - 矩形 from bokeh.models.annotations import BoxAnnotation # 导入BoxAnnotation模块 x = np.linspace(0, 20, 200) y = np.sin(x) # 创建x，y数据 p = figure(y_range=(-2, 2)) p.line(x, y) # 绘制曲线 upper = BoxAnnotation(bottom=1, fill_alpha=0.1, fill_color=\'olive\', line_width = 2, line_dash = [6,2], line_color = \'red\') p.add_layout(upper) # 绘制辅助矩形1 lower = BoxAnnotation(top=-1, fill_alpha=0.1, fill_color=\'firebrick\') p.add_layout(lower) # 绘制辅助矩形2 center = BoxAnnotation(top=0.6, bottom=-0.3, left=7, right=12, # 设置矩形四边位置 fill_alpha=0.1, fill_color=\'navy\' # 设置透明度、颜色 ) p.add_layout(center) # 绘制辅助矩形3 show(p)
3. 绘图注释
label = Label(x=5, y=7, x_offset=12, text="Second Point", text_font_size="12pt",
border_line_color="red", background_fill_color="gray", background_fill_alpha = 0.5 )
p.add_layout(label)
# 绘图注释 from bokeh.models.annotations import Label# Label是标注的注释 # 导入Label模块，注意是annotations中的Label p = figure(x_range=(0,10), y_range=(0,10)) p.circle([2, 5, 8], [4, 7, 6], color="olive", size=10) # 绘制散点图 label = Label(x=5, y=7, # 标注注释位置 x_offset=12, # x偏移，同理y_offset text="Second Point", # 注释内容 text_font_size="12pt", # 字体大小 border_line_color="red", background_fill_color="gray", background_fill_alpha = 0.5 # 背景线条颜色、背景颜色、透明度 ) p.add_layout(label) # 绘制注释 show(p)
4. 注释箭头
p.add_layout(Arrow(end=OpenHead(line_color="firebrick", line_width=4), # 设置箭头类型，及相关参数：OpenHead, NormalHead, VeeHead
x_start=0, y_start=0, x_end=1, y_end=0))
# 注释箭头 from bokeh.models.annotations import Arrow from bokeh.models.arrow_heads import OpenHead, NormalHead, VeeHead # 三种箭头类型 # 导入相关模块 p = figure(plot_width=600, plot_height=600) p.circle(x=[0, 1, 0.5], y=[0, 0, 0.7], radius=0.1, color=["navy", "yellow", "red"], fill_alpha=0.1) # 创建散点图 p.add_layout(Arrow(end=OpenHead(line_color="firebrick", line_width=4), # 设置箭头类型，及相关参数：OpenHead, NormalHead, VeeHead x_start=0, y_start=0, x_end=1, y_end=0)) # 设置箭头矢量方向 # 绘制箭头1 p.add_layout(Arrow(end=NormalHead(fill_color="orange"), x_start=1, y_start=0, x_end=0.5, y_end=0.7)) # 绘制箭头2 p.add_layout(Arrow(end=VeeHead(size=35), line_color="red", x_start=0.5, y_start=0.7, x_end=0, y_end=0)) # 绘制箭头3 show(p)
5. 调色盘
# 调色盘 # 颜色参考文档：http://bokeh.pydata.org/en/latest/docs/reference/palettes.html # ColorBrewer：http://colorbrewer2.org/#type=sequential&scheme=BuGn&n=3 import bokeh.palettes as bp from bokeh.palettes import brewer print(\'所有调色板名称：\\n\',bp.__palettes__) print(\'-------\') # 查看所有调色板名称 print(\'蓝色调色盘颜色：\\n\',bp.Blues) print(\'-------\') # 查看蓝色调色盘颜色 n = 8 colori = brewer[\'YlGn\'][n] print(\'YlGn调色盘解析为%i个颜色，分别为：\\n\' % n, colori) # 调色盘解析 → 不同颜色解析最多颜色有限
所有调色板名称： [\'Accent3\', \'Accent4\', \'Accent5\', \'Accent6\', \'Accent7\', \'Accent8\', \'Blues3\', \'Blues4\', \'Blues5\', \'Blues6\', \'Blues7\', \'Blues8\', \'Blues9\', \'BrBG3\', \'BrBG4\', \'BrBG5\', \'BrBG6\', \'BrBG7\', \'BrBG8\', \'BrBG9\', \'BrBG10\', \'BrBG11\', \'BuGn3\', \'BuGn4\', \'BuGn5\', \'BuGn6\', \'BuGn7\', \'BuGn8\', \'BuGn9\', \'BuPu3\', \'BuPu4\', \'BuPu5\', \'BuPu6\', \'BuPu7\', \'BuPu8\', \'BuPu9\', \'Category10_3\', \'Category10_4\', \'Category10_5\', \'Category10_6\', \'Category10_7\', \'Category10_8\', \'Category10_9\', \'Category10_10\', \'Category20_3\', \'Category20_4\', \'Category20_5\', \'Category20_6\', \'Category20_7\', \'Category20_8\', \'Category20_9\', \'Category20_10\', \'Category20_11\', \'Category20_12\', \'Category20_13\', \'Category20_14\', \'Category20_15\', \'Category20_16\', \'Category20_17\', \'Category20_18\', \'Category20_19\', \'Category20_20\', \'Category20b3\', \'Category20b4\', \'Category20b5\', \'Category20b6\', \'Category20b7\', \'Category20b8\', \'Category20b9\', \'Category20b10\', \'Category20b11\', \'Category20b12\', \'Category20b13\', \'Category20b14\', \'Category20b15\', \'Category20b16\', \'Category20b17\', \'Category20b18\', \'Category20b19\', \'Category20b20\', \'Category20c3\', \'Category20c4\', \'Category20c5\', \'Category20c6\', \'Category20c7\', \'Category20c8\', \'Category20c9\', \'Category20c10\', \'Category20c11\', \'Category20c12\', \'Category20c13\', \'Category20c14\', \'Category20c15\', \'Category20c16\', \'Category20c17\', \'Category20c18\', \'Category20c19\', \'Category20c20\', \'Colorblind3\', \'Colorblind4\', \'Colorblind5\', \'Colorblind6\', \'Colorblind7\', \'Colorblind8\', \'Dark2_3\', \'Dark2_4\', \'Dark2_5\', \'Dark2_6\', \'Dark2_7\', \'Dark2_8\', \'GnBu3\', \'GnBu4\', \'GnBu5\', \'GnBu6\', \'GnBu7\', \'GnBu8\', \'GnBu9\', \'Greens3\', \'Greens4\', \'Greens5\', \'Greens6\', \'Greens7\', \'Greens8\', \'Greens9\', \'Greys3\', \'Greys4\', \'Greys5\', \'Greys6\', \'Greys7\', \'Greys8\', \'Greys9\', \'Greys256\', \'Inferno3\', \'Inferno4\', \'Inferno5\', \'Inferno6\', \'Inferno7\', \'Inferno8\', \'Inferno9\', \'Inferno10\', \'Inferno11\', \'Inferno256\', \'Magma3\', \'Magma4\', \'Magma5\', \'Magma6\', \'Magma7\', \'Magma8\', \'Magma9\', \'Magma10\', \'Magma11\', \'Magma256\', \'OrRd3\', \'OrRd4\', \'OrRd5\', \'OrRd6\', \'OrRd7\', \'OrRd8\', \'OrRd9\', \'Oranges3\', \'Oranges4\', \'Oranges5\', \'Oranges6\', \'Oranges7\', \'Oranges8\', \'Oranges9\', \'PRGn3\', \'PRGn4\', \'PRGn5\', \'PRGn6\', \'PRGn7\', \'PRGn8\', \'PRGn9\', \'PRGn10\', \'PRGn11\', \'Paired3\', \'Paired4\', \'Paired5\', \'Paired6\', \'Paired7\', \'Paired8\', \'Paired9\', \'Paired10\', \'Paired11\', \'Paired12\', \'Pastel1_3\', \'Pastel1_4\', \'Pastel1_5\', \'Pastel1_6\', \'Pastel1_7\', \'Pastel1_8\', \'Pastel1_9\', \'Pastel2_3\', \'Pastel2_4\', \'Pastel2_5\', \'Pastel2_6\', \'Pastel2_7\', \'Pastel2_8\', \'PiYG3\', \'PiYG4\', \'PiYG5\', \'PiYG6\', \'PiYG7\', \'PiYG8\', \'PiYG9\', \'PiYG10\', \'PiYG11\', \'Plasma3\', \'Plasma4\', \'Plasma5\', \'Plasma6\', \'Plasma7\', \'Plasma8\', \'Plasma9\', \'Plasma10\', \'Plasma11\', \'Plasma256\', \'PuBu3\', \'PuBu4\', \'PuBu5\', \'PuBu6\', \'PuBu7\', \'PuBu8\', \'PuBu9\', \'PuBuGn3\', \'PuBuGn4\', \'PuBuGn5\', \'PuBuGn6\', \'PuBuGn7\', \'PuBuGn8\', \'PuBuGn9\', \'PuOr3\', \'PuOr4\', \'PuOr5\', \'PuOr6\', \'PuOr7\', \'PuOr8\', \'PuOr9\', \'PuOr10\', \'PuOr11\', \'PuRd3\', \'PuRd4\', \'PuRd5\', \'PuRd6\', \'PuRd7\', \'PuRd8\', \'PuRd9\', \'Purples3\', \'Purples4\', \'Purples5\', \'Purples6\', \'Purples7\', \'Purples8\', \'Purples9\', \'RdBu3\', \'RdBu4\', \'RdBu5\', \'RdBu6\', \'RdBu7\', \'RdBu8\', \'RdBu9\', \'RdBu10\', \'RdBu11\', \'RdGy3\', \'RdGy4\', \'RdGy5\', \'RdGy6\', \'RdGy7\', \'RdGy8\', \'RdGy9\', \'RdGy10\', \'RdGy11\', \'RdPu3\', \'RdPu4\', \'RdPu5\', \'RdPu6\', \'RdPu7\', \'RdPu8\', \'RdPu9\', \'RdYlBu3\', \'RdYlBu4\', \'RdYlBu5\', \'RdYlBu6\', \'RdYlBu7\', \'RdYlBu8\', \'RdYlBu9\', \'RdYlBu10\', \'RdYlBu11\', \'RdYlGn3\', \'RdYlGn4\', \'RdYlGn5\', \'RdYlGn6\', \'RdYlGn7\', \'RdYlGn8\', \'RdYlGn9\', \'RdYlGn10\', \'RdYlGn11\', \'Reds3\', \'Reds4\', \'Reds5\', \'Reds6\', \'Reds7\', \'Reds8\', \'Reds9\', \'Set1_3\', \'Set1_4\', \'Set1_5\', \'Set1_6\', \'Set1_7\', \'Set1_8以上是关于Python交互图表可视化Bokeh：2. 辅助参数的主要内容，如果未能解决你的问题，请参考以下文章Python交互图表可视化Bokeh：1. 可视交互化原理| 基本设置
Python交互图表可视化Bokeh：4. 折线图| 面积图