Mercurial > hg > octave-lyh
annotate scripts/plot/hist.m @ 17500:be7e8b91c6b1
hist.m: Overhaul function.
* scripts/plot/hist.m: Rephrase some of docstring. Put input validation first.
Use variable names in error messages. Use meaningful variable name 'xsort'
rather than 'tmp'. Use in-place operators for performance.
author | Rik <rik@octave.org> |
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date | Wed, 25 Sep 2013 11:34:53 -0700 |
parents | 1e2641277b2a |
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rev | line source |
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1 ## Copyright (C) 1994-2012 John W. Eaton |
2313 | 2 ## |
3 ## This file is part of Octave. | |
4 ## | |
5 ## Octave is free software; you can redistribute it and/or modify it | |
6 ## under the terms of the GNU General Public License as published by | |
7016 | 7 ## the Free Software Foundation; either version 3 of the License, or (at |
8 ## your option) any later version. | |
2313 | 9 ## |
10 ## Octave is distributed in the hope that it will be useful, but | |
11 ## WITHOUT ANY WARRANTY; without even the implied warranty of | |
12 ## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU | |
13 ## General Public License for more details. | |
14 ## | |
15 ## You should have received a copy of the GNU General Public License | |
7016 | 16 ## along with Octave; see the file COPYING. If not, see |
17 ## <http://www.gnu.org/licenses/>. | |
724 | 18 |
3368 | 19 ## -*- texinfo -*- |
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20 ## @deftypefn {Function File} {} hist (@var{y}) |
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21 ## @deftypefnx {Function File} {} hist (@var{y}, @var{x}) |
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22 ## @deftypefnx {Function File} {} hist (@var{y}, @var{nbins}) |
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23 ## @deftypefnx {Function File} {} hist (@var{y}, @var{x}, @var{norm}) |
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24 ## @deftypefnx {Function File} {} hist (@dots{}, @var{prop}, @var{val}, @dots{}) |
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25 ## @deftypefnx {Function File} {} hist (@var{hax}, @dots{}) |
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26 ## @deftypefnx {Function File} {[@var{nn}, @var{xx}] =} hist (@dots{}) |
2311 | 27 ## Produce histogram counts or plots. |
3426 | 28 ## |
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29 ## With one vector input argument, @var{y}, plot a histogram of the values |
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30 ## with 10 bins. The range of the histogram bins is determined by the |
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31 ## range of the data. With one matrix input argument, @var{y}, plot a |
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32 ## histogram where each bin contains a bar per input column. |
3426 | 33 ## |
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34 ## Given a second vector argument, @var{x}, use that as the centers of |
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35 ## the bins, with the width of the bins determined from the adjacent |
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36 ## values in the vector. |
3426 | 37 ## |
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38 ## If scalar, the second argument, @var{nbins}, defines the number of bins. |
3426 | 39 ## |
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40 ## If a third argument is provided, the histogram is normalized such that |
3597 | 41 ## the sum of the bars is equal to @var{norm}. |
42 ## | |
17500 | 43 ## Extreme values are lumped into the first and last bins. |
3426 | 44 ## |
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45 ## The histogram's appearance may be modified by specifying property/value |
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46 ## pairs. For example the face and edge color may be modified. |
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47 ## |
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48 ## @example |
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49 ## @group |
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50 ## hist (randn (1, 100), 25, "facecolor", "r", "edgecolor", "b"); |
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51 ## @end group |
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52 ## @end example |
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53 ## |
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54 ## @noindent |
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55 ## The histogram's colors also depend upon the current colormap. |
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56 ## |
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57 ## @example |
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58 ## @group |
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59 ## hist (rand (10, 3)); |
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60 ## colormap (summer ()); |
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61 ## @end group |
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62 ## @end example |
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63 ## |
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64 ## If the first argument @var{hax} is an axes handle, then plot into this axis, |
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65 ## rather than the current axes returned by @code{gca}. |
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66 ## |
17500 | 67 ## With two output arguments, produce the values @var{nn} (numbers of elements) |
68 ## and @var{xx} (bin centers) such that @code{bar (@var{xx}, @var{nn})} will | |
69 ## plot the histogram. | |
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70 ## |
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71 ## @seealso{histc, bar, pie, rose} |
3368 | 72 ## @end deftypefn |
724 | 73 |
2314 | 74 ## Author: jwe |
75 | |
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76 function [nn, xx] = hist (varargin) |
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77 |
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78 [hax, varargin, nargin] = __plt_get_axis_arg__ ("hist", varargin{:}); |
724 | 79 |
7112 | 80 if (nargin < 1) |
6046 | 81 print_usage (); |
724 | 82 endif |
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83 |
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84 y = varargin{1}; |
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85 varargin = varargin(2:end); |
2325 | 86 |
5443 | 87 arg_is_vector = isvector (y); |
5065 | 88 |
17500 | 89 if (arg_is_vector) |
4880 | 90 y = y(:); |
91 endif | |
92 | |
17500 | 93 if (! isreal (y)) |
94 error ("hist: Y must be real valued"); | |
724 | 95 endif |
96 | |
17500 | 97 max_val = max (y(:)); |
98 min_val = min (y(:)); | |
99 | |
7112 | 100 iarg = 1; |
101 if (nargin == 1 || ischar (varargin{iarg})) | |
724 | 102 n = 10; |
4880 | 103 x = [0.5:n]'/n; |
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104 x = x * (max_val - min_val) + ones (size (x)) * min_val; |
3597 | 105 else |
106 ## nargin is either 2 or 3 | |
7208 | 107 x = varargin{iarg++}; |
4030 | 108 if (isscalar (x)) |
724 | 109 n = x; |
110 if (n <= 0) | |
17500 | 111 error ("hist: number of bins NBINS must be positive"); |
724 | 112 endif |
4880 | 113 x = [0.5:n]'/n; |
7191 | 114 x = x * (max_val - min_val) + ones (size (x)) * min_val; |
4880 | 115 elseif (isreal (x)) |
116 if (isvector (x)) | |
10549 | 117 x = x(:); |
4880 | 118 endif |
17500 | 119 xsort = sort (x); |
120 if (any (xsort != x)) | |
904 | 121 warning ("hist: bin values not sorted on input"); |
17500 | 122 x = xsort; |
724 | 123 endif |
124 else | |
125 error ("hist: second argument must be a scalar or a vector"); | |
126 endif | |
127 endif | |
128 | |
7189 | 129 ## Avoid issues with integer types for x and y |
130 x = double (x); | |
131 y = double (y); | |
132 | |
4880 | 133 cutoff = (x(1:end-1,:) + x(2:end,:)) / 2; |
134 n = rows (x); | |
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135 y_nc = columns (y); |
4880 | 136 if (n < 30 && columns (x) == 1) |
4407 | 137 ## The following algorithm works fastest for n less than about 30. |
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138 chist = zeros (n+1, y_nc); |
4407 | 139 for i = 1:n-1 |
4880 | 140 chist(i+1,:) = sum (y <= cutoff(i)); |
4407 | 141 endfor |
5746 | 142 chist(n+1,:) = sum (! isnan (y)); |
4407 | 143 else |
144 ## The following algorithm works fastest for n greater than about 30. | |
145 ## Put cutoff elements between boundaries, integrate over all | |
146 ## elements, keep totals at boundaries. | |
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147 [s, idx] = sort ([y; repmat(cutoff, 1, y_nc)]); |
4880 | 148 len = rows (y); |
149 chist = cumsum (idx <= len); | |
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150 chist = [(zeros (1, y_nc)); |
10549 | 151 (reshape (chist(idx > len), rows (cutoff), y_nc)); |
152 (chist(end,:) - sum (isnan (y)))]; | |
4407 | 153 endif |
154 | |
4880 | 155 freq = diff (chist); |
724 | 156 |
7191 | 157 if (nargin > 2 && ! ischar (varargin{iarg})) |
17500 | 158 ## Normalize the histogram. |
7112 | 159 norm = varargin{iarg++}; |
17500 | 160 freq *= norm / sum (! isnan (y)); |
3597 | 161 endif |
162 | |
6586 | 163 if (nargout > 0) |
17500 | 164 if (arg_is_vector) |
165 ## Matlab compatibility requires a row vector return | |
166 nn = freq'; | |
4880 | 167 xx = x'; |
168 else | |
169 nn = freq; | |
170 xx = x; | |
171 endif | |
736 | 172 else |
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173 if (isempty (hax)) |
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174 hax = gca (); |
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175 endif |
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176 if (columns (freq) != 1) |
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177 bar (hax, x, freq, 0.8, varargin{iarg:end}); |
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178 else |
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179 bar (hax, x, freq, 1.0, varargin{iarg:end}); |
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180 endif |
724 | 181 endif |
182 | |
183 endfunction | |
4811 | 184 |
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185 |
4811 | 186 %!test |
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187 %! [nn,xx] = hist ([1:4], 3); |
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188 %! assert (xx, [1.5,2.5,3.5]); |
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189 %! assert (nn, [2,1,1]); |
4880 | 190 %!test |
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191 %! [nn,xx] = hist ([1:4]', 3); |
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192 %! assert (xx, [1.5,2.5,3.5]); |
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193 %! assert (nn, [2,1,1]); |
4880 | 194 %!test |
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195 %! [nn,xx] = hist ([1 1 1 NaN NaN NaN 2 2 3],[1 2 3]); |
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196 %! assert (xx, [1,2,3]); |
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197 %! assert (nn, [3,2,1]); |
5746 | 198 %!test |
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199 %! [nn,xx] = hist ([1 1 1 NaN NaN NaN 2 2 3],[1 2 3], 6); |
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200 %! assert (xx, [1,2,3]); |
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201 %! assert (nn, [3,2,1]); |
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202 %!test |
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203 %! [nn,xx] = hist ([[1:4]', [1:4]'], 3); |
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204 %! assert (xx, [1.5;2.5;3.5]); |
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205 %! assert (nn, [[2,1,1]',[2,1,1]']); |
4880 | 206 %!test |
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207 %! for n = [10, 30, 100, 1000] |
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208 %! assert (sum (hist ([1:n], n)), n); |
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209 %! assert (sum (hist ([1:n], [2:n-1])), n); |
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210 %! assert (sum (hist ([1:n], [1:n])), n); |
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211 %! assert (sum (hist ([1:n], 29)), n); |
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212 %! assert (sum (hist ([1:n], 30)), n); |
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213 %! endfor |
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Use Octave coding conventions in all m-file %!test blocks
Rik <octave@nomad.inbox5.com>
parents:
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214 %!assert (hist (1,1), 1) |
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Use Octave coding conventions in all m-file %!test blocks
Rik <octave@nomad.inbox5.com>
parents:
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215 %!assert (size (hist (randn (750,240), 200)), [200,240]) |
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Use Octave coding conventions in all m-file %!test blocks
Rik <octave@nomad.inbox5.com>
parents:
14327
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216 |