matplotlib大套的颜色地块

Question

我有很多的图表我想在一个情节来绘制的。我刚开始与matplotlib并不能找到产生大量的可区分颜色:(也许在循环与HSV SV最大的好办法？

我想的有点像

args=[] 
for i,(x,y) in enumerate(data): 
    args.extend([x,y,hsv(i)]) 
plot(*args) 

？

任何建议:)

Answer 1

我认为你有正确的想法，但如果你通过颜色表hsv数中在范围（0,1）摊开的颜色会更容易分辨：

hsv = plt.get_cmap('hsv') 
hsv(float(i)/(len(data)-1)) 

，或者使用NumPy的：

colors = hsv(np.linspace(0, 1.0, len(kinds))) 

例如：

import datetime as DT 
import numpy as np 
import matplotlib.pyplot as plt 
import matplotlib.dates as mdates 
import scipy.interpolate as interpolate 

dates = [DT.date(year, 9, 1) for year in range(2003, 2009)] 
t = list(map(mdates.date2num, dates)) 
jec = (100, 70, 125, 150, 300, 250) 
plt.plot(dates, jec, 'k.', markersize = 20) 
new_t = np.linspace(min(t), max(t), 80) 
new_dates = map(mdates.num2date, new_t) 
kinds = ('cubic', 'quadratic', 'slinear', 'nearest', 'linear', 'zero', 4, 5) 
cmap = plt.get_cmap('jet') 
colors = cmap(np.linspace(0, 1.0, len(kinds))) 
for kind, color in zip(kinds, colors): 
    new_jec = interpolate.interp1d(t, jec, kind=kind)(new_t) 
    plt.plot(new_t, new_jec, '-', label=str(kind), color=color) 
plt.legend(loc = 'best') 
plt.show()