""" XKCD plot generator ------------------- Author: Jake Vanderplas This is a script that will take any matplotlib line diagram, and convert it to an XKCD-style plot. It will work for plots with line & text elements, including axes labels and titles (but not axes tick labels). The idea for this comes from work by Damon McDougall http://www.mail-archive.com/ [email protected] /msg25499.html """ import numpy as np import pylab as pl from scipy import interpolate , signal import matplotlib.font_manager as fm # We need a special font for the code below. It can be downloaded this way: import os import urllib2 if not os . path . exists ( 'Humor-Sans.ttf' ): fhandle = urllib2 . urlopen ( 'http://antiyawn.com/uploads/Humor-Sans-1.0.ttf' ) open ( 'Humor-Sans.ttf' , 'wb' ) . write ( fhandle . read ()) def xkcd_line ( x , y , xlim = None , ylim = None , mag = 1.0 , f1 = 30 , f2 = 0.05 , f3 = 15 ): """ Mimic a hand-drawn line from (x, y) data Parameters ---------- x, y : array_like arrays to be modified xlim, ylim : data range the assumed plot range for the modification. If not specified, they will be guessed from the data mag : float magnitude of distortions f1, f2, f3 : int, float, int filtering parameters. f1 gives the size of the window, f2 gives the high-frequency cutoff, f3 gives the size of the filter Returns ------- x, y : ndarrays The modified lines """ x = np . asarray ( x ) y = np . asarray ( y ) # get limits for rescaling if xlim is None : xlim = ( x . min (), x . max ()) if ylim is None : ylim = ( y . min (), y . max ()) if xlim [ 1 ] == xlim [ 0 ]: xlim = ylim if ylim [ 1 ] == ylim [ 0 ]: ylim = xlim # scale the data x_scaled = ( x - xlim [ 0 ]) * 1. / ( xlim [ 1 ] - xlim [ 0 ]) y_scaled = ( y - ylim [ 0 ]) * 1. / ( ylim [ 1 ] - ylim [ 0 ]) # compute the total distance along the path dx = x_scaled [ 1 :] - x_scaled [: - 1 ] dy = y_scaled [ 1 :] - y_scaled [: - 1 ] dist_tot = np . sum ( np . sqrt ( dx * dx + dy * dy )) # number of interpolated points is proportional to the distance Nu = int ( 200 * dist_tot ) u = np . arange ( - 1 , Nu + 1 ) * 1. / ( Nu - 1 ) # interpolate curve at sampled points k = min ( 3 , len ( x ) - 1 ) res = interpolate . splprep ([ x_scaled , y_scaled ], s = 0 , k = k ) x_int , y_int = interpolate . splev ( u , res [ 0 ]) # we'll perturb perpendicular to the drawn line dx = x_int [ 2 :] - x_int [: - 2 ] dy = y_int [ 2 :] - y_int [: - 2 ] dist = np . sqrt ( dx * dx + dy * dy ) # create a filtered perturbation coeffs = mag * np . random . normal ( 0 , 0.01 , len ( x_int ) - 2 ) b = signal . firwin ( f1 , f2 * dist_tot , window = ( 'kaiser' , f3 )) response = signal . lfilter ( b , 1 , coeffs ) x_int [ 1 : - 1 ] += response * dy / dist y_int [ 1 : - 1 ] += response * dx / dist # un-scale data x_int = x_int [ 1 : - 1 ] * ( xlim [ 1 ] - xlim [ 0 ]) + xlim [ 0 ] y_int = y_int [ 1 : - 1 ] * ( ylim [ 1 ] - ylim [ 0 ]) + ylim [ 0 ] return x_int , y_int def XKCDify ( ax , mag = 1.0 , f1 = 50 , f2 = 0.01 , f3 = 15 , bgcolor = 'w' , xaxis_loc = None , yaxis_loc = None , xaxis_arrow = '+' , yaxis_arrow = '+' , ax_extend = 0.1 , expand_axes = False ): """Make axis look hand-drawn This adjusts all lines, text, legends, and axes in the figure to look like xkcd plots. Other plot elements are not modified. Parameters ---------- ax : Axes instance the axes to be modified. mag : float the magnitude of the distortion f1, f2, f3 : int, float, int filtering parameters. f1 gives the size of the window, f2 gives the high-frequency cutoff, f3 gives the size of the filter xaxis_loc, yaxis_log : float The locations to draw the x and y axes. If not specified, they will be drawn from the bottom left of the plot xaxis_arrow, yaxis_arrow : str where to draw arrows on the x/y axes. Options are '+', '-', '+-', or '' ax_extend : float How far (fractionally) to extend the drawn axes beyond the original axes limits expand_axes : bool if True, then expand axes to fill the figure (useful if there is only a single axes in the figure) """ # Get axes aspect ext = ax . get_window_extent () . extents aspect = ( ext [ 3 ] - ext [ 1 ]) / ( ext [ 2 ] - ext [ 0 ]) xlim = ax . get_xlim () ylim = ax . get_ylim () xspan = xlim [ 1 ] - xlim [ 0 ] yspan = ylim [ 1 ] - xlim [ 0 ] xax_lim = ( xlim [ 0 ] - ax_extend * xspan , xlim [ 1 ] + ax_extend * xspan ) yax_lim = ( ylim [ 0 ] - ax_extend * yspan , ylim [ 1 ] + ax_extend * yspan ) if xaxis_loc is None : xaxis_loc = ylim [ 0 ] if yaxis_loc is None : yaxis_loc = xlim [ 0 ] # Draw axes xaxis = pl . Line2D ([ xax_lim [ 0 ], xax_lim [ 1 ]], [ xaxis_loc , xaxis_loc ], linestyle = '-' , color = 'k' ) yaxis = pl . Line2D ([ yaxis_loc , yaxis_loc ], [ yax_lim [ 0 ], yax_lim [ 1 ]], linestyle = '-' , color = 'k' ) # Label axes3, 0.5, 'hello', fontsize=14) ax . text ( xax_lim [ 1 ], xaxis_loc - 0.02 * yspan , ax . get_xlabel (), fontsize = 14 , ha = 'right' , va = 'top' , rotation = 12 ) ax . text ( yaxis_loc - 0.02 * xspan , yax_lim [ 1 ], ax . get_ylabel (), fontsize = 14 , ha = 'right' , va = 'top' , rotation = 78 ) ax . set_xlabel ( '' ) ax . set_ylabel ( '' ) # Add title ax . text ( 0.5 * ( xax_lim [ 1 ] + xax_lim [ 0 ]), yax_lim [ 1 ], ax . get_title (), ha = 'center' , va = 'bottom' , fontsize = 16 ) ax . set_title ( '' ) Nlines = len ( ax . lines ) lines = [ xaxis , yaxis ] + [ ax . lines . pop ( 0 ) for i in range ( Nlines )] for line in lines : x , y = line . get_data () x_int , y_int = xkcd_line ( x , y , xlim , ylim , mag , f1 , f2 , f3 ) # create foreground and background line lw = line . get_linewidth () line . set_linewidth ( 2 * lw ) line . set_data ( x_int , y_int ) # don't add background line for axes if ( line is not xaxis ) and ( line is not yaxis ): line_bg = pl . Line2D ( x_int , y_int , color = bgcolor , linewidth = 8 * lw ) ax . add_line ( line_bg ) ax . add_line ( line ) # Draw arrow-heads at the end of axes lines arr1 = 0.03 * np . array ([ - 1 , 0 , - 1 ]) arr2 = 0.02 * np . array ([ - 1 , 0 , 1 ]) arr1 [:: 2 ] += np . random . normal ( 0 , 0.005 , 2 ) arr2 [:: 2 ] += np . random . normal ( 0 , 0.005 , 2 ) x , y = xaxis . get_data () if '+' in str ( xaxis_arrow ): ax . plot ( x [ - 1 ] + arr1 * xspan * aspect , y [ - 1 ] + arr2 * yspan , color = 'k' , lw = 2 ) if '-' in str ( xaxis_arrow ): ax . plot ( x [ 0 ] - arr1 * xspan * aspect , y [ 0 ] - arr2 * yspan , color = 'k' , lw = 2 ) x , y = yaxis . get_data () if '+' in str ( yaxis_arrow ): ax . plot ( x [ - 1 ] + arr2 * xspan * aspect , y [ - 1 ] + arr1 * yspan , color = 'k' , lw = 2 ) if '-' in str ( yaxis_arrow ): ax . plot ( x [ 0 ] - arr2 * xspan * aspect , y [ 0 ] - arr1 * yspan , color = 'k' , lw = 2 ) # Change all the fonts to humor-sans. prop = fm . FontProperties ( fname = 'Humor-Sans.ttf' , size = 16 ) for text in ax . texts : text . set_fontproperties ( prop ) # modify legend leg = ax . get_legend () if leg is not None : leg . set_frame_on ( False ) for child in leg . get_children (): if isinstance ( child , pl . Line2D ): x , y = child . get_data () child . set_data ( xkcd_line ( x , y , mag = 10 , f1 = 100 , f2 = 0.001 )) child . set_linewidth ( 2 * child . get_linewidth ()) if isinstance ( child , pl . Text ): child . set_fontproperties ( prop ) # Set the axis limits ax . set_xlim ( xax_lim [ 0 ] - 0.1 * xspan , xax_lim [ 1 ] + 0.1 * xspan ) ax . set_ylim ( yax_lim [ 0 ] - 0.1 * yspan , yax_lim [ 1 ] + 0.1 * yspan ) # adjust the axes ax . set_xticks ([]) ax . set_yticks ([]) if expand_axes : ax . figure . set_facecolor ( bgcolor ) ax . set_axis_off () ax . set_position ([ 0 , 0 , 1 , 1 ]) return ax