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copied!<p>From <a href="http://matplotlib.org/users/screenshots.html#table-demo" rel="nofollow noreferrer">http://matplotlib.org/users/screenshots.html#table-demo</a></p> <pre><code>#!/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() </code></pre> <p><img src="https://i.stack.imgur.com/76OQo.png" alt="example plot with bars"></p> <p>Edit: This example can be simplified by using the default matplotlib color cycle (blue, red, green, ....) and line plots as follows:</p> <pre><code>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() </code></pre> <p><img src="https://i.stack.imgur.com/drZyT.png" alt="Example plot with lines"></p>

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