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【Python教程】绘制仪表盘图
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内容图文
![【Python教程】绘制仪表盘图](/upload/InfoBanner/zyjiaocheng/429/6f1edd6319894f0a802b709029c99976.jpg)
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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