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This chapter describes functions for creating histograms. Histograms
provide a convenient way of summarizing the distribution of a set of
data. A histogram consists of a set of bins which count the number
of events falling into a given range of a continuous variable x.
In GSL the bins of a histogram contain floatingpoint numbers, so they
can be used to record both integer and noninteger distributions. The
bins can use arbitrary sets of ranges (uniformly spaced bins are the
default). Both one and twodimensional histograms are supported.
Once a histogram has been created it can also be converted into a
probability distribution function. The library provides efficient
routines for selecting random samples from probability distributions.
This can be useful for generating simulations based on real data.
The functions are declared in the header files `gsl_histogram.h'
and `gsl_histogram2d.h'.
A histogram is defined by the following struct,
 Data Type: gsl_histogram

size_t n

This is the number of histogram bins
double * range

The ranges of the bins are stored in an array of n+1 elements
pointed to by range.
double * bin

The counts for each bin are stored in an array of n elements
pointed to by bin. The bins are floatingpoint numbers, so you can
increment them by noninteger values if necessary.
The range for bin[i] is given by range[i] to
range[i+1]. For n bins there are n+1 entries in the
array range. Each bin is inclusive at the lower end and exclusive
at the upper end. Mathematically this means that the bins are defined by
the following inequality,
bin[i] corresponds to range[i] <= x < range[i+1]
Here is a diagram of the correspondence between ranges and bins on the
numberline for x,
[ bin[0] )[ bin[1] )[ bin[2] )[ bin[3] )[ bin[4] )
 x
r[0] r[1] r[2] r[3] r[4] r[5]
In this picture the values of the range array are denoted by
r. On the lefthand side of each bin the square bracket
`[' denotes an inclusive lower bound
(
r <= x), and the round parentheses `)' on the righthand
side denote an exclusive upper bound (x < r). Thus any samples
which fall on the upper end of the histogram are excluded. If you want
to include this value for the last bin you will need to add an extra bin
to your histogram.
The gsl_histogram
struct and its associated functions are defined
in the header file `gsl_histogram.h'.
The functions for allocating memory to a histogram follow the style of
malloc
and free
. In addition they also perform their own
error checking. If there is insufficient memory available to allocate a
histogram then the functions call the error handler (with an error
number of GSL_ENOMEM
) in addition to returning a null pointer.
Thus if you use the library error handler to abort your program then it
isn't necessary to check every histogram alloc
.
 Function: gsl_histogram * gsl_histogram_alloc (size_t n)

This function allocates memory for a histogram with n bins, and
returns a pointer to a newly created
gsl_histogram
struct. If
insufficient memory is available a null pointer is returned and the
error handler is invoked with an error code of GSL_ENOMEM
. The
bins and ranges are not initialized, and should be prepared using one of
the rangesetting functions below in order to make the histogram ready
for use.
 Function: int gsl_histogram_set_ranges (gsl_histogram * h, const double range[], size_t size)

This function sets the ranges of the existing histogram h using
the array range of size size. The values of the histogram
bins are reset to zero. The
range
array should contain the
desired bin limits. The ranges can be arbitrary, subject to the
restriction that they are monotonically increasing.
The following example shows how to create a histogram with logarithmic
bins with ranges [1,10), [10,100) and [100,1000).
gsl_histogram * h = gsl_histogram_alloc (3);
/* bin[0] covers the range 1 <= x < 10 */
/* bin[1] covers the range 10 <= x < 100 */
/* bin[2] covers the range 100 <= x < 1000 */
double range[4] = { 1.0, 10.0, 100.0, 1000.0 };
gsl_histogram_set_ranges (h, range, 4);
Note that the size of the range array should be defined to be one
element bigger than the number of bins. The additional element is
required for the upper value of the final bin.
 Function: int gsl_histogram_set_ranges_uniform (gsl_histogram * h, double xmin, double xmax)

This function sets the ranges of the existing histogram h to cover
the range xmin to xmax uniformly. The values of the
histogram bins are reset to zero. The bin ranges are shown in the table
below,
bin[0] corresponds to xmin <= x < xmin + d
bin[1] corresponds to xmin + d <= x < xmin + 2 d
......
bin[n1] corresponds to xmin + (n1)d <= x < xmax
where d is the bin spacing, d = (xmaxxmin)/n.
 Function: void gsl_histogram_free (gsl_histogram * h)

This function frees the histogram h and all of the memory
associated with it.
 Function: int gsl_histogram_memcpy (gsl_histogram * dest, const gsl_histogram * src)

This function copies the histogram src into the preexisting
histogram dest, making dest into an exact copy of src.
The two histograms must be of the same size.
 Function: gsl_histogram * gsl_histogram_clone (const gsl_histogram * src)

This function returns a pointer to a newly created histogram which is an
exact copy of the histogram src.
There are two ways to access histogram bins, either by specifying an
x coordinate or by using the binindex directly. The functions
for accessing the histogram through x coordinates use a binary
search to identify the bin which covers the appropriate range.
 Function: int gsl_histogram_increment (gsl_histogram * h, double x)

This function updates the histogram h by adding one (1.0) to the
bin whose range contains the coordinate x.
If x lies in the valid range of the histogram then the function
returns zero to indicate success. If x is less than the lower
limit of the histogram then the function returns GSL_EDOM
, and
none of bins are modified. Similarly, if the value of x is greater
than or equal to the upper limit of the histogram then the function
returns GSL_EDOM
, and none of the bins are modified. The error
handler is not called, however, since it is often necessary to compute
histograms for a small range of a larger dataset, ignoring the values
outside the range of interest.
 Function: int gsl_histogram_accumulate (gsl_histogram * h, double x, double weight)

This function is similar to
gsl_histogram_increment
but increases
the value of the appropriate bin in the histogram h by the
floatingpoint number weight.
 Function: double gsl_histogram_get (const gsl_histogram * h, size_t i)

This function returns the contents of the ith bin of the histogram
h. If i lies outside the valid range of indices for the
histogram then the error handler is called with an error code of
GSL_EDOM
and the function returns 0.
 Function: int gsl_histogram_get_range (const gsl_histogram * h, size_t i, double * lower, double * upper)

This function finds the upper and lower range limits of the ith
bin of the histogram h. If the index i is valid then the
corresponding range limits are stored in lower and upper.
The lower limit is inclusive (i.e. events with this coordinate are
included in the bin) and the upper limit is exclusive (i.e. events with
the coordinate of the upper limit are excluded and fall in the
neighboring higher bin, if it exists). The function returns 0 to
indicate success. If i lies outside the valid range of indices for
the histogram then the error handler is called and the function returns
an error code of
GSL_EDOM
.
 Function: double gsl_histogram_max (const gsl_histogram * h)

 Function: double gsl_histogram_min (const gsl_histogram * h)

 Function: size_t gsl_histogram_bins (const gsl_histogram * h)

These functions return the maximum upper and minimum lower range limits
and the number of bins of the histogram h. They provide a way of
determining these values without accessing the
gsl_histogram
struct directly.
 Function: void gsl_histogram_reset (gsl_histogram * h)

This function resets all the bins in the histogram h to zero.
The following functions are used by the access and update routines to
locate the bin which corresponds to a given x coordinate.
 Function: int gsl_histogram_find (const gsl_histogram * h, double x, size_t * i)

This function finds and sets the index i to the bin number which
covers the coordinate x in the histogram h. The bin is
located using a binary search. The search includes an optimization for
histograms with uniform range, and will return the correct bin
immediately in this case. If x is found in the range of the
histogram then the function sets the index i and returns
GSL_SUCCESS
. If x lies outside the valid range of the
histogram then the function returns GSL_EDOM
and the error
handler is invoked.
 Function: double gsl_histogram_max_val (const gsl_histogram * h)

This function returns the maximum value contained in the histogram bins.
 Function: size_t gsl_histogram_max_bin (const gsl_histogram * h)

This function returns the index of the bin containing the maximum
value. In the case where several bins contain the same maximum value the
smallest index is returned.
 Function: double gsl_histogram_min_val (const gsl_histogram * h)

This function returns the minimum value contained in the histogram bins.
 Function: size_t gsl_histogram_min_bin (const gsl_histogram * h)

This function returns the index of the bin containing the minimum
value. In the case where several bins contain the same maximum value the
smallest index is returned.
 Function: double gsl_histogram_mean (const gsl_histogram * h)

This function returns the mean of the histogrammed variable, where the
histogram is regarded as a probability distribution. Negative bin values
are ignored for the purposes of this calculation. The accuracy of the
result is limited by the bin width.
 Function: double gsl_histogram_sigma (const gsl_histogram * h)

This function returns the standard deviation of the histogrammed
variable, where the histogram is regarded as a probability
distribution. Negative bin values are ignored for the purposes of this
calculation. The accuracy of the result is limited by the bin width.
 Function: double gsl_histogram_sum (const gsl_histogram * h)

This function returns the sum of all bin values. Negative bin values
are included in the sum.
 Function: int gsl_histogram_equal_bins_p (const gsl_histogram * h1, const gsl_histogram * h2)

This function returns 1 if the all of the individual bin
ranges of the two histograms are identical, and 0
otherwise.
 Function: int gsl_histogram_add (gsl_histogram * h1, const gsl_histogram * h2)

This function adds the contents of the bins in histogram h2 to the
corresponding bins of histogram h1, i.e. h'_1(i) = h_1(i) +
h_2(i). The two histograms must have identical bin ranges.
 Function: int gsl_histogram_sub (gsl_histogram * h1, const gsl_histogram * h2)

This function subtracts the contents of the bins in histogram h2
from the corresponding bins of histogram h1, i.e. h'_1(i) =
h_1(i)  h_2(i). The two histograms must have identical bin ranges.
 Function: int gsl_histogram_mul (gsl_histogram * h1, const gsl_histogram * h2)

This function multiplies the contents of the bins of histogram h1
by the contents of the corresponding bins in histogram h2,
i.e. h'_1(i) = h_1(i) * h_2(i). The two histograms must have
identical bin ranges.
 Function: int gsl_histogram_div (gsl_histogram * h1, const gsl_histogram * h2)

This function divides the contents of the bins of histogram h1 by
the contents of the corresponding bins in histogram h2,
i.e. h'_1(i) = h_1(i) / h_2(i). The two histograms must have
identical bin ranges.
 Function: int gsl_histogram_scale (gsl_histogram * h, double scale)

This function multiplies the contents of the bins of histogram h
by the constant scale, i.e.
h'_1(i) = h_1(i) * scale.
 Function: int gsl_histogram_shift (gsl_histogram * h, double offset)

This function shifts the contents of the bins of histogram h by
the constant offset, i.e.
h'_1(i) = h_1(i) + offset.
The library provides functions for reading and writing histograms to a file
as binary data or formatted text.
 Function: int gsl_histogram_fwrite (FILE * stream, const gsl_histogram * h)

This function writes the ranges and bins of the histogram h to the
stream stream in binary format. The return value is 0 for success
and
GSL_EFAILED
if there was a problem writing to the file. Since
the data is written in the native binary format it may not be portable
between different architectures.
 Function: int gsl_histogram_fread (FILE * stream, gsl_histogram * h)

This function reads into the histogram h from the open stream
stream in binary format. The histogram h must be
preallocated with the correct size since the function uses the number of
bins in h to determine how many bytes to read. The return value is
0 for success and
GSL_EFAILED
if there was a problem reading from
the file. The data is assumed to have been written in the native binary
format on the same architecture.
 Function: int gsl_histogram_fprintf (FILE * stream, const gsl_histogram * h, const char * range_format, const char * bin_format)

This function writes the ranges and bins of the histogram h
linebyline to the stream stream using the format specifiers
range_format and bin_format. These should be one of the
%g
, %e
or %f
formats for floating point
numbers. The function returns 0 for success and GSL_EFAILED
if
there was a problem writing to the file. The histogram output is
formatted in three columns, and the columns are separated by spaces,
like this,
range[0] range[1] bin[0]
range[1] range[2] bin[1]
range[2] range[3] bin[2]
....
range[n1] range[n] bin[n1]
The values of the ranges are formatted using range_format and the
value of the bins are formatted using bin_format. Each line
contains the lower and upper limit of the range of the bins and the
value of the bin itself. Since the upper limit of one bin is the lower
limit of the next there is duplication of these values between lines but
this allows the histogram to be manipulated with lineoriented tools.
 Function: int gsl_histogram_fscanf (FILE * stream, gsl_histogram * h)

This function reads formatted data from the stream stream into the
histogram h. The data is assumed to be in the threecolumn format
used by
gsl_histogram_fprintf
. The histogram h must be
preallocated with the correct length since the function uses the size of
h to determine how many numbers to read. The function returns 0
for success and GSL_EFAILED
if there was a problem reading from
the file.
A histogram made by counting events can be regarded as a measurement of
a probability distribution. Allowing for statistical error, the height
of each bin represents the probability of an event where the value of
x falls in the range of that bin. The probability distribution
function has the onedimensional form p(x)dx where,
p(x) = n_i/ (N w_i)
In this equation n_i is the number of events in the bin which
contains x, w_i is the width of the bin and N is
the total number of events. The distribution of events within each bin
is assumed to be uniform.
The probability distribution function for a histogram consists of a set
of bins which measure the probability of an event falling into a
given range of a continuous variable x. A probability
distribution function is defined by the following struct, which actually
stores the cumulative probability distribution function. This is the
natural quantity for generating samples via the inverse transform
method, because there is a onetoone mapping between the cumulative
probability distribution and the range [0,1]. It can be shown that by
taking a uniform random number in this range and finding its
corresponding coordinate in the cumulative probability distribution we
obtain samples with the desired probability distribution.
 Data Type: gsl_histogram_pdf

size_t n

This is the number of bins used to approximate the probability
distribution function.
double * range

The ranges of the bins are stored in an array of n+1 elements
pointed to by range.
double * sum

The cumulative probability for the bins is stored in an array of
n elements pointed to by sum.
The following functions allow you to create a gsl_histogram_pdf
struct which represents this probability distribution and generate
random samples from it.
 Function: gsl_histogram_pdf * gsl_histogram_pdf_alloc (size_t n)

This function allocates memory for a probability distribution with
n bins and returns a pointer to a newly initialized
gsl_histogram_pdf
struct. If insufficient memory is available a
null pointer is returned and the error handler is invoked with an error
code of GSL_ENOMEM
.
 Function: int gsl_histogram_pdf_init (gsl_histogram_pdf * p, const gsl_histogram * h)

This function initializes the probability distribution p with
the contents of the histogram h. If any of the bins of h are
negative then the error handler is invoked with an error code of
GSL_EDOM
because a probability distribution cannot contain
negative values.
 Function: void gsl_histogram_pdf_free (gsl_histogram_pdf * p)

This function frees the probability distribution function p and
all of the memory associated with it.
 Function: double gsl_histogram_pdf_sample (const gsl_histogram_pdf * p, double r)

This function uses r, a uniform random number between zero and
one, to compute a single random sample from the probability distribution
p. The algorithm used to compute the sample s is given by
the following formula,
s = range[i] + delta * (range[i+1]  range[i])
where i is the index which satisfies
sum[i] <= r < sum[i+1] and
delta is
(r  sum[i])/(sum[i+1]  sum[i]).
The following program shows how to make a simple histogram of a column
of numerical data supplied on stdin
. The program takes three
arguments, specifying the upper and lower bounds of the histogram and
the number of bins. It then reads numbers from stdin
, one line at
a time, and adds them to the histogram. When there is no more data to
read it prints out the accumulated histogram using
gsl_histogram_fprintf
.
#include <stdio.h>
#include <stdlib.h>
#include <gsl/gsl_histogram.h>
int
main (int argc, char **argv)
{
double a, b;
size_t n;
if (argc != 4)
{
printf ("Usage: gslhistogram xmin xmax n\n"
"Computes a histogram of the data "
"on stdin using n bins from xmin "
"to xmax\n");
exit (0);
}
a = atof (argv[1]);
b = atof (argv[2]);
n = atoi (argv[3]);
{
double x;
gsl_histogram * h = gsl_histogram_alloc (n);
gsl_histogram_set_ranges_uniform (h, a, b);
while (fscanf (stdin, "%lg", &x) == 1)
{
gsl_histogram_increment (h, x);
}
gsl_histogram_fprintf (stdout, h, "%g", "%g");
gsl_histogram_free (h);
}
exit (0);
}
Here is an example of the program in use. We generate 10000 random
samples from a Cauchy distribution with a width of 30 and histogram
them over the range 100 to 100, using 200 bins.
$ gslrandist 0 10000 cauchy 30
 gslhistogram 100 100 200 > histogram.dat
A plot of the resulting histogram shows the familiar shape of the
Cauchy distribution and the fluctuations caused by the finite sample
size.
$ awk '{print $1, $3 ; print $2, $3}' histogram.dat
 graph T X
A two dimensional histogram consists of a set of bins which count
the number of events falling in a given area of the (x,y)
plane. The simplest way to use a two dimensional histogram is to record
twodimensional position information, n(x,y). Another possibility
is to form a joint distribution by recording related
variables. For example a detector might record both the position of an
event (x) and the amount of energy it deposited E. These
could be histogrammed as the joint distribution n(x,E).
Two dimensional histograms are defined by the following struct,
 Data Type: gsl_histogram2d

size_t nx, ny

This is the number of histogram bins in the x and y directions.
double * xrange

The ranges of the bins in the xdirection are stored in an array of
nx + 1 elements pointed to by xrange.
double * yrange

The ranges of the bins in the ydirection are stored in an array of
ny + 1 elements pointed to by yrange.
double * bin

The counts for each bin are stored in an array pointed to by bin.
The bins are floatingpoint numbers, so you can increment them by
noninteger values if necessary. The array bin stores the two
dimensional array of bins in a single block of memory according to the
mapping
bin(i,j)
= bin[i * ny + j]
.
The range for bin(i,j)
is given by xrange[i]
to
xrange[i+1]
in the xdirection and yrange[j]
to
yrange[j+1]
in the ydirection. Each bin is inclusive at the lower
end and exclusive at the upper end. Mathematically this means that the
bins are defined by the following inequality,
bin(i,j) corresponds to xrange[i] <= x < xrange[i+1]
and yrange[j] <= y < yrange[j+1]
Note that any samples which fall on the upper sides of the histogram are
excluded. If you want to include these values for the side bins you will
need to add an extra row or column to your histogram.
The gsl_histogram2d
struct and its associated functions are
defined in the header file `gsl_histogram2d.h'.
The functions for allocating memory to a 2D histogram follow the style
of malloc
and free
. In addition they also perform their
own error checking. If there is insufficient memory available to
allocate a histogram then the functions call the error handler (with
an error number of GSL_ENOMEM
) in addition to returning a null
pointer. Thus if you use the library error handler to abort your program
then it isn't necessary to check every 2D histogram alloc
.
 Function: gsl_histogram2d * gsl_histogram2d_alloc (size_t nx, size_t ny)

This function allocates memory for a twodimensional histogram with
nx bins in the x direction and ny bins in the y direction.
The function returns a pointer to a newly created
gsl_histogram2d
struct. If insufficient memory is available a null pointer is returned
and the error handler is invoked with an error code of
GSL_ENOMEM
. The bins and ranges must be initialized with one of
the functions below before the histogram is ready for use.
 Function: int gsl_histogram2d_set_ranges (gsl_histogram2d * h, const double xrange[], size_t xsize, const double yrange[], size_t ysize)

This function sets the ranges of the existing histogram h using
the arrays xrange and yrange of size xsize and
ysize respectively. The values of the histogram bins are reset to
zero.
 Function: int gsl_histogram2d_set_ranges_uniform (gsl_histogram2d * h, double xmin, double xmax, double ymin, double ymax)

This function sets the ranges of the existing histogram h to cover
the ranges xmin to xmax and ymin to ymax
uniformly. The values of the histogram bins are reset to zero.
 Function: void gsl_histogram2d_free (gsl_histogram2d * h)

This function frees the 2D histogram h and all of the memory
associated with it.
 Function: int gsl_histogram2d_memcpy (gsl_histogram2d * dest, const gsl_histogram2d * src)

This function copies the histogram src into the preexisting
histogram dest, making dest into an exact copy of src.
The two histograms must be of the same size.
 Function: gsl_histogram2d * gsl_histogram2d_clone (const gsl_histogram2d * src)

This function returns a pointer to a newly created histogram which is an
exact copy of the histogram src.
You can access the bins of a twodimensional histogram either by
specifying a pair of (x,y) coordinates or by using the bin
indices (i,j) directly. The functions for accessing the histogram
through (x,y) coordinates use binary searches in the x and y
directions to identify the bin which covers the appropriate range.
 Function: int gsl_histogram2d_increment (gsl_histogram2d * h, double x, double y)

This function updates the histogram h by adding one (1.0) to the
bin whose x and y ranges contain the coordinates (x,y).
If the point (x,y) lies inside the valid ranges of the
histogram then the function returns zero to indicate success. If
(x,y) lies outside the limits of the histogram then the
function returns GSL_EDOM
, and none of the bins are modified. The
error handler is not called, since it is often necessary to compute
histograms for a small range of a larger dataset, ignoring any
coordinates outside the range of interest.
 Function: int gsl_histogram2d_accumulate (gsl_histogram2d * h, double x, double y, double weight)

This function is similar to
gsl_histogram2d_increment
but increases
the value of the appropriate bin in the histogram h by the
floatingpoint number weight.
 Function: double gsl_histogram2d_get (const gsl_histogram2d * h, size_t i, size_t j)

This function returns the contents of the (i,j)th bin of the
histogram h. If (i,j) lies outside the valid range of
indices for the histogram then the error handler is called with an error
code of
GSL_EDOM
and the function returns 0.
 Function: int gsl_histogram2d_get_xrange (const gsl_histogram2d * h, size_t i, double * xlower, double * xupper)

 Function: int gsl_histogram2d_get_yrange (const gsl_histogram2d * h, size_t j, double * ylower, double * yupper)

These functions find the upper and lower range limits of the ith
and jth bins in the x and y directions of the histogram h.
The range limits are stored in xlower and xupper or
ylower and yupper. The lower limits are inclusive
(i.e. events with these coordinates are included in the bin) and the
upper limits are exclusive (i.e. events with the value of the upper
limit are not included and fall in the neighboring higher bin, if it
exists). The functions return 0 to indicate success. If i or
j lies outside the valid range of indices for the histogram then
the error handler is called with an error code of
GSL_EDOM
.
 Function: double gsl_histogram2d_xmax (const gsl_histogram2d * h)

 Function: double gsl_histogram2d_xmin (const gsl_histogram2d * h)

 Function: size_t gsl_histogram2d_nx (const gsl_histogram2d * h)

 Function: double gsl_histogram2d_ymax (const gsl_histogram2d * h)

 Function: double gsl_histogram2d_ymin (const gsl_histogram2d * h)

 Function: size_t gsl_histogram2d_ny (const gsl_histogram2d * h)

These functions return the maximum upper and minimum lower range limits
and the number of bins for the x and y directions of the histogram
h. They provide a way of determining these values without
accessing the
gsl_histogram2d
struct directly.
 Function: void gsl_histogram2d_reset (gsl_histogram2d * h)

This function resets all the bins of the histogram h to zero.
The following functions are used by the access and update routines to
locate the bin which corresponds to a given (x,y) coordinate.
 Function: int gsl_histogram2d_find (const gsl_histogram2d * h, double x, double y, size_t * i, size_t * j)

This function finds and sets the indices i and j to
the bin which covers the coordinates (x,y). The bin is
located using a binary search. The search includes an optimization for
histograms with uniform ranges, and will return the correct bin immediately
in this case. If (x,y) is found then the function sets the
indices (i,j) and returns
GSL_SUCCESS
. If
(x,y) lies outside the valid range of the histogram then the
function returns GSL_EDOM
and the error handler is invoked.
 Function: double gsl_histogram2d_max_val (const gsl_histogram2d * h)

This function returns the maximum value contained in the histogram bins.
 Function: void gsl_histogram2d_max_bin (const gsl_histogram2d * h, size_t * i, size_t * j)

This function finds the indices of the bin containing the maximum value
in the histogram h and stores the result in (i,j). In
the case where several bins contain the same maximum value the first bin
found is returned.
 Function: double gsl_histogram2d_min_val (const gsl_histogram2d * h)

This function returns the minimum value contained in the histogram bins.
 Function: void gsl_histogram2d_min_bin (const gsl_histogram2d * h, size_t * i, size_t * j)

This function finds the indices of the bin containing the minimum value
in the histogram h and stores the result in (i,j). In
the case where several bins contain the same maximum value the first bin
found is returned.
 Function: double gsl_histogram2d_xmean (const gsl_histogram2d * h)

This function returns the mean of the histogrammed x variable, where the
histogram is regarded as a probability distribution. Negative bin values
are ignored for the purposes of this calculation.
 Function: double gsl_histogram2d_ymean (const gsl_histogram2d * h)

This function returns the mean of the histogrammed y variable, where the
histogram is regarded as a probability distribution. Negative bin values
are ignored for the purposes of this calculation.
 Function: double gsl_histogram2d_xsigma (const gsl_histogram2d * h)

This function returns the standard deviation of the histogrammed
x variable, where the histogram is regarded as a probability
distribution. Negative bin values are ignored for the purposes of this
calculation.
 Function: double gsl_histogram2d_ysigma (const gsl_histogram2d * h)

This function returns the standard deviation of the histogrammed
y variable, where the histogram is regarded as a probability
distribution. Negative bin values are ignored for the purposes of this
calculation.
 Function: double gsl_histogram2d_cov (const gsl_histogram2d * h)

This function returns the covariance of the histogrammed x and y
variables, where the histogram is regarded as a probability
distribution. Negative bin values are ignored for the purposes of this
calculation.
 Function: double gsl_histogram2d_sum (const gsl_histogram2d * h)

This function returns the sum of all bin values. Negative bin values
are included in the sum.
 Function: int gsl_histogram2d_equal_bins_p (const gsl_histogram2d * h1, const gsl_histogram2d * h2)

This function returns 1 if all the individual bin ranges of the two
histograms are identical, and 0 otherwise.
 Function: int gsl_histogram2d_add (gsl_histogram2d * h1, const gsl_histogram2d * h2)

This function adds the contents of the bins in histogram h2 to the
corresponding bins of histogram h1,
i.e. h'_1(i,j) = h_1(i,j) + h_2(i,j).
The two histograms must have identical bin ranges.
 Function: int gsl_histogram2d_sub (gsl_histogram2d * h1, const gsl_histogram2d * h2)

This function subtracts the contents of the bins in histogram h2 from the
corresponding bins of histogram h1,
i.e. h'_1(i,j) = h_1(i,j)  h_2(i,j).
The two histograms must have identical bin ranges.
 Function: int gsl_histogram2d_mul (gsl_histogram2d * h1, const gsl_histogram2d * h2)

This function multiplies the contents of the bins of histogram h1
by the contents of the corresponding bins in histogram h2,
i.e. h'_1(i,j) = h_1(i,j) * h_2(i,j).
The two histograms must have identical bin ranges.
 Function: int gsl_histogram2d_div (gsl_histogram2d * h1, const gsl_histogram2d * h2)

This function divides the contents of the bins of histogram h1
by the contents of the corresponding bins in histogram h2,
i.e. h'_1(i,j) = h_1(i,j) / h_2(i,j).
The two histograms must have identical bin ranges.
 Function: int gsl_histogram2d_scale (gsl_histogram2d * h, double scale)

This function multiplies the contents of the bins of histogram h
by the constant scale, i.e.
h'_1(i,j) = h_1(i,j) scale.
 Function: int gsl_histogram2d_shift (gsl_histogram2d * h, double offset)

This function shifts the contents of the bins of histogram h
by the constant offset, i.e.
h'_1(i,j) = h_1(i,j) + offset.
The library provides functions for reading and writing two dimensional
histograms to a file as binary data or formatted text.
 Function: int gsl_histogram2d_fwrite (FILE * stream, const gsl_histogram2d * h)

This function writes the ranges and bins of the histogram h to the
stream stream in binary format. The return value is 0 for success
and
GSL_EFAILED
if there was a problem writing to the file. Since
the data is written in the native binary format it may not be portable
between different architectures.
 Function: int gsl_histogram2d_fread (FILE * stream, gsl_histogram2d * h)

This function reads into the histogram h from the stream
stream in binary format. The histogram h must be
preallocated with the correct size since the function uses the number of
x and y bins in h to determine how many bytes to read. The return
value is 0 for success and
GSL_EFAILED
if there was a problem
reading from the file. The data is assumed to have been written in the
native binary format on the same architecture.
 Function: int gsl_histogram2d_fprintf (FILE * stream, const gsl_histogram2d * h, const char * range_format, const char * bin_format)

This function writes the ranges and bins of the histogram h
linebyline to the stream stream using the format specifiers
range_format and bin_format. These should be one of the
%g
, %e
or %f
formats for floating point
numbers. The function returns 0 for success and GSL_EFAILED
if
there was a problem writing to the file. The histogram output is
formatted in five columns, and the columns are separated by spaces,
like this,
xrange[0] xrange[1] yrange[0] yrange[1] bin(0,0)
xrange[0] xrange[1] yrange[1] yrange[2] bin(0,1)
xrange[0] xrange[1] yrange[2] yrange[3] bin(0,2)
....
xrange[0] xrange[1] yrange[ny1] yrange[ny] bin(0,ny1)
xrange[1] xrange[2] yrange[0] yrange[1] bin(1,0)
xrange[1] xrange[2] yrange[1] yrange[2] bin(1,1)
xrange[1] xrange[2] yrange[1] yrange[2] bin(1,2)
....
xrange[1] xrange[2] yrange[ny1] yrange[ny] bin(1,ny1)
....
xrange[nx1] xrange[nx] yrange[0] yrange[1] bin(nx1,0)
xrange[nx1] xrange[nx] yrange[1] yrange[2] bin(nx1,1)
xrange[nx1] xrange[nx] yrange[1] yrange[2] bin(nx1,2)
....
xrange[nx1] xrange[nx] yrange[ny1] yrange[ny] bin(nx1,ny1)
Each line contains the lower and upper limits of the bin and the
contents of the bin. Since the upper limits of the each bin are the
lower limits of the neighboring bins there is duplication of these
values but this allows the histogram to be manipulated with
lineoriented tools.
 Function: int gsl_histogram2d_fscanf (FILE * stream, gsl_histogram2d * h)

This function reads formatted data from the stream stream into the
histogram h. The data is assumed to be in the fivecolumn format
used by
gsl_histogram2d_fprintf
. The histogram h must be
preallocated with the correct lengths since the function uses the sizes
of h to determine how many numbers to read. The function returns 0
for success and GSL_EFAILED
if there was a problem reading from
the file.
As in the onedimensional case, a twodimensional histogram made by
counting events can be regarded as a measurement of a probability
distribution. Allowing for statistical error, the height of each bin
represents the probability of an event where (x,y) falls in
the range of that bin. For a twodimensional histogram the probability
distribution takes the form p(x,y) dx dy where,
p(x,y) = n_{ij}/ (N A_{ij})
In this equation
n_{ij} is the number of events in the bin which
contains (x,y),
A_{ij} is the area of the bin and N is
the total number of events. The distribution of events within each bin
is assumed to be uniform.
 Data Type: gsl_histogram2d_pdf

size_t nx, ny

This is the number of histogram bins used to approximate the probability
distribution function in the x and y directions.
double * xrange

The ranges of the bins in the xdirection are stored in an array of
nx + 1 elements pointed to by xrange.
double * yrange

The ranges of the bins in the ydirection are stored in an array of
ny + 1 pointed to by yrange.
double * sum

The cumulative probability for the bins is stored in an array of
nx*ny elements pointed to by sum.
The following functions allow you to create a gsl_histogram2d_pdf
struct which represents a two dimensional probability distribution and
generate random samples from it.
 Function: gsl_histogram2d_pdf * gsl_histogram2d_pdf_alloc (size_t nx, size_t ny)

This function allocates memory for a twodimensional probability
distribution of size nxbyny and returns a pointer to a
newly initialized
gsl_histogram2d_pdf
struct. If insufficient
memory is available a null pointer is returned and the error handler is
invoked with an error code of GSL_ENOMEM
.
 Function: int gsl_histogram2d_pdf_init (gsl_histogram2d_pdf * p, const gsl_histogram2d * h)

This function initializes the twodimensional probability distribution
calculated p from the histogram h. If any of the bins of
h are negative then the error handler is invoked with an error
code of
GSL_EDOM
because a probability distribution cannot
contain negative values.
 Function: void gsl_histogram2d_pdf_free (gsl_histogram2d_pdf * p)

This function frees the twodimensional probability distribution
function p and all of the memory associated with it.
 Function: int gsl_histogram2d_pdf_sample (const gsl_histogram2d_pdf * p, double r1, double r2, double * x, double * y)

This function uses two uniform random numbers between zero and one,
r1 and r2, to compute a single random sample from the
twodimensional probability distribution p.
This program demonstrates two features of twodimensional histograms.
First a 10by10 twodimensional histogram is created with x and y running
from 0 to 1. Then a few sample points are added to the histogram, at
(0.3,0.3) with a height of 1, at (0.8,0.1) with a height of 5 and at
(0.7,0.9) with a height of 0.5. This histogram with three events is
used to generate a random sample of 1000 simulated events, which are
printed out.
#include <stdio.h>
#include <gsl/gsl_rng.h>
#include <gsl/gsl_histogram2d.h>
int
main (void)
{
const gsl_rng_type * T;
gsl_rng * r;
gsl_histogram2d * h = gsl_histogram2d_alloc (10, 10);
gsl_histogram2d_set_ranges_uniform (h,
0.0, 1.0,
0.0, 1.0);
gsl_histogram2d_accumulate (h, 0.3, 0.3, 1);
gsl_histogram2d_accumulate (h, 0.8, 0.1, 5);
gsl_histogram2d_accumulate (h, 0.7, 0.9, 0.5);
gsl_rng_env_setup ();
T = gsl_rng_default;
r = gsl_rng_alloc (T);
{
int i;
gsl_histogram2d_pdf * p
= gsl_histogram2d_pdf_alloc (h>nx, h>ny);
gsl_histogram2d_pdf_init (p, h);
for (i = 0; i < 1000; i++) {
double x, y;
double u = gsl_rng_uniform (r);
double v = gsl_rng_uniform (r);
gsl_histogram2d_pdf_sample (p, u, v, &x, &y);
printf ("%g %g\n", x, y);
}
gsl_histogram2d_pdf_free (p);
}
gsl_histogram2d_free (h);
gsl_rng_free (r);
return 0;
}
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