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histrange

histrange(v, n)

Compute nice bin ranges for the edges of a histogram of v, using approximately n bins. The resulting step sizes will be 1, 2 or 5 multiplied by a power of 10. Note: Julia does not ignore NaN values in the computation.

Examples

1. Generate histogram bin ranges:

   julia> v = [1.5, 2.4, 3.1, 4.7, 5.9, 6.2, 7.8, 8.5, 9.6, 10.3];
   julia> histrange(v, 5)
   (1.0:2.0:9.0, 1.0, 9.0)

   This example generates approximately 5 bins for the provided vector v and returns the bin ranges (1.0:2.0:9.0) with a step size of 1.0.

2. Generate histogram bin ranges with larger number of bins:

   julia> v = [1.5, 2.4, 3.1, 4.7, 5.9, 6.2, 7.8, 8.5, 9.6, 10.3];
   julia> histrange(v, 10)
   (1.0:1.0:10.0, 1.0, 10.0)

   In this example, n is set to 10 to generate more bins. The resulting bin ranges (1.0:1.0:10.0) have a step size of 1.0.

3. Handle NaN values in the computation:

   julia> v = [1.5, NaN, 3.1, 4.7, NaN, 6.2, 7.8, NaN, 9.6, 10.3];
   julia> histrange(v, 4)
   (1.0:3.0:10.0, 1.0, 10.0)

   Even if the vector v contains NaN values, the histrange function includes them in the computation while generating bin ranges.

Common mistake example:

julia> v = [];
julia> histrange(v, 5)
ERROR: MethodError: no method matching histrange(::Array{Any,1}, ::Int64)

In this example, an empty array v is provided, which results in a MethodError. Make sure to pass a non-empty vector to the histrange function to avoid such errors.

See Also

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