时间:2021-07-01 10:21:17 帮助过:58人阅读
导入命令
1)设置工作环境
- %cd "F:\\Dropbox\\python"
2)导入程序包
- import matplotlib.pyplot as plt
- import numpy as np
- from matplotlib.image import BboxImage
- from matplotlib._png import read_png
- import matplotlib.colors
- from matplotlib.cbook import get_sample_data
- from collections import OrderedDict
- from math import log, sqrt
- import numpy as np
- import pandas as pd
- from bokeh.plotting import figure, show, output_file
3)读取数据
- df =pd.read_csv("stata_auto.csv" )
4)定义参数并绘制图像
- drug_color = OrderedDict([
- ("price", "#0d3362"),
- ("weight", "#c64737"),
- ("rep78", "black" ),
- ])
- gram_color = {
- "Domestic" : "#aeaeb8",
- "Foreign" : "#e69584",
- }
- width = 800
- height = 800
- inner_radius = 90
- outer_radius = 300 - 10
- minr = sqrt(log(.001 * 1E4))
- maxr = sqrt(log(1000 * 1E4))
- a = (outer_radius - inner_radius) / (minr - maxr)
- b = inner_radius - a * maxr
- def rad(mic):
- return a * np.sqrt(np.log(mic * 1E4)) + b
- big_angle = 2.0 * np.pi / (len(df) + 1)
- small_angle = big_angle / 7
- x = np.zeros(len(df))
- y = np.zeros(len(df))
- output_file("burtin.html", title="burtin.py example")
- p = figure(plot_width=width, plot_height=height, title="",
- x_axis_type=None, y_axis_type=None,
- x_range=[-420, 420], y_range=[-420, 420],
- min_border=0, outline_line_color="black",
- background_fill="#f0e1d2", border_fill="#f0e1d2")
- p.line(x+1, y+1, alpha=0)
- angles = np.pi/2 - big_angle/2 - df.index.to_series()*big_angle
- colors = [gram_color[gram] for gram in df.foreign]
- p.annular_wedge(
- x, y, inner_radius, outer_radius, -big_angle+angles, angles, color=colors,
- )
- p.annular_wedge(x, y, inner_radius, rad(df.price),
- -big_angle+angles+5*small_angle, -big_angle+angles+6*small_angle,
- color=drug_color['price'])
- p.annular_wedge(x, y, inner_radius, rad(df.mpg),
- -big_angle+angles+3*small_angle, -big_angle+angles+4*small_angle,
- color=drug_color['weight'])
- p.annular_wedge(x, y, inner_radius, rad(df.gear_ratio),
- -big_angle+angles+1*small_angle, -big_angle+angles+2*small_angle,
- color=drug_color['rep78'])
- labels = np.power(10.0, np.arange(-3, 4))
- radii = a * np.sqrt(np.log(labels * 1E4)) + b
- p.circle(x, y, radius=radii, fill_color=None, line_color="white")
- p.text(x[:-1], radii[:-1], [str(r) for r in labels[:-1]],
- text_font_size="8pt", text_align="center", text_baseline="middle")
- p.annular_wedge(x, y, inner_radius-10, outer_radius+10,
- -big_angle+angles, -big_angle+angles, color="black")
- xr = radii[0]*np.cos(np.array(-big_angle/2 + angles))
- yr = radii[0]*np.sin(np.array(-big_angle/2 + angles))
- label_angle=np.array(-big_angle/2+angles)
- label_angle[label_angle < -np.pi/2] += np.pi # easier to read labels on the left side
- p.text(xr, yr, df.make, angle=label_angle,
- text_font_size="9pt", text_align="center", text_baseline="middle")
- p.circle([-40, -40], [-370, -390], color=list(gram_color.values()), radius=5)
- p.text([-30, -30], [-370, -390], text=["Gram-" + gr for gr in gram_color.keys()],
- text_font_size="7pt", text_align="left", text_baseline="middle")
- p.rect([-40, -40, -40], [18, 0, -18], width=30, height=13,
- color=list(drug_color.values()))
- p.text([-15, -15, -15], [18, 0, -18], text=list(drug_color.keys()),
- text_font_size="9pt", text_align="left", text_baseline="middle")
- p.xgrid.grid_line_color = None
- p.ygrid.grid_line_color = None
- show(p)
输出图像如下
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