我正在开发用于多线图的
python自动化.
下面是我在excel中手动创建的示例.
我目前的代码如下：
plt = pyplot
plt.plot(channel_list, udp_dl_values, label="UDP DL")
plt.plot(channel_list, tcp_dl_values, label="TCP DL")
plt.plot(channel_list, udp_ul_values, label="UDP UL")
plt.plot(channel_list, tcp_ul_values, label="TCP UL")
plt.grid()
想知道我是否可以使用脚本创建上述内容？
谢谢,
PARTH
最佳答案 从
http://matplotlib.org/users/screenshots.html#table-demo起
#!/usr/bin/env python
import matplotlib
from pylab import *
from matplotlib.colors import colorConverter
#Some simple functions to generate colours.
def pastel(colour, weight=2.4):
""" Convert colour into a nice pastel shade"""
rgb = asarray(colorConverter.to_rgb(colour))
# scale colour
maxc = max(rgb)
if maxc < 1.0 and maxc > 0:
# scale colour
scale = 1.0 / maxc
rgb = rgb * scale
# now decrease saturation
total = sum(rgb)
slack = 0
for x in rgb:
slack += 1.0 - x
# want to increase weight from total to weight
# pick x s.t. slack * x == weight - total
# x = (weight - total) / slack
x = (weight - total) / slack
rgb = [c + (x * (1.0-c)) for c in rgb]
return rgb
def get_colours(n):
""" Return n pastel colours. """
base = asarray([[1,0,0], [0,1,0], [0,0,1]])
if n <= 3:
return base[0:n]
# how many new colours to we need to insert between
# red and green and between green and blue?
needed = (((n - 3) + 1) / 2, (n - 3) / 2)
colours = []
for start in (0, 1):
for x in linspace(0, 1, needed[start]+2):
colours.append((base[start] * (1.0 - x)) +
(base[start+1] * x))
return [pastel(c) for c in colours[0:n]]
axes([0.2, 0.2, 0.7, 0.6]) # leave room below the axes for the table
data = [[ 66386, 174296, 75131, 577908, 32015],
[ 58230, 381139, 78045, 99308, 160454],
[ 89135, 80552, 152558, 497981, 603535],
[ 78415, 81858, 150656, 193263, 69638],
[ 139361, 331509, 343164, 781380, 52269]]
colLabels = ('Freeze', 'Wind', 'Flood', 'Quake', 'Hail')
rowLabels = ['%d year' % x for x in (100, 50, 20, 10, 5)]
# Get some pastel shades for the colours
colours = get_colours(len(colLabels))
colours.reverse()
rows = len(data)
ind = arange(len(colLabels)) + 0.3 # the x locations for the groups
cellText = []
width = 0.4 # the width of the bars
yoff = array([0.0] * len(colLabels)) # the bottom values for stacked bar chart
for row in xrange(rows):
bar(ind, data[row], width, bottom=yoff, color=colours[row])
yoff = yoff + data[row]
cellText.append(['%1.1f' % (x/1000.0) for x in yoff])
# Add a table at the bottom of the axes
colours.reverse()
cellText.reverse()
the_table = table(cellText=cellText,
rowLabels=rowLabels, rowColours=colours,
colLabels=colLabels,
loc='bottom')
ylabel("Loss $1000's")
vals = arange(0, 2500, 500)
yticks(vals*1000, ['%d' % val for val in vals])
xticks([])
title('Loss by Disaster')
show()
编辑：
通过使用默认的matplotlib颜色循环(蓝色,红色,绿色,……)和线图,可以简化此示例,如下所示：
import numpy as np
import matplotlib.pyplot as plt
#Create a figure and axes with room for the table
fig = plt.figure()
ax = plt.axes([0.2, 0.2, 0.7, 0.6])
#Create labels for the rows and columns as tuples
colLabels = ('36', '40', '44', '48', '149', '153', '157', '161', '165')
rowLabels = ('UDL DL', 'UDP UL', 'TCP DL', 'TCP UL')
#Table data as a numpy array
tableData = np.array([[ 36.7128, 37.684, 38.283, 48.425, 32.839, 36.424, 34.440, 31.642, 35.710],
[ 36.7128, 37.684, 38.283, 48.425, 32.839, 36.424, 34.440, 31.642, 35.710],
[ 36.7128, 37.684, 38.283, 48.425, 32.839, 36.424, 34.440, 31.642, 35.710],
[ 36.7128, 37.684, 38.283, 48.425, 32.839, 36.424, 34.440, 31.642, 35.710]])
#Get the current color cycle as a list, then reset the cycle to be at the beginning
colors = []
while True:
colors.append(ax._get_lines.color_cycle.next())
if colors[0] == colors[-1] and len(colors)>1:
colors.pop(-1)
break
for i in xrange(len(colors)-1):
ax._get_lines.color_cycle.next()
#Show the table
table = plt.table(cellText=tableData,
rowLabels=rowLabels, rowColours=colors,
colLabels=colLabels,
loc='bottom')
#Make some line plots
x = np.linspace(0,10,100)
ax.plot(x,np.sin(x))
ax.plot(x,-1*np.sin(x))
ax.plot(x,np.cos(x))
ax.plot(x,-1*np.cos(x))
#Turn off x-axis ticks and show the plot
plt.xticks([])
plt.show()
