timeit-compare 1.4.1

Conveniently measure and compare the execution times of multiple statements.

timeit_compare

Conveniently measure and compare the execution times of multiple statements.

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Installation

To install the package, run the following command:

pip install timeit_compare

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Usage

Here is a simple example from the timeit library documentation:

>>> from timeit_compare import cmp
>>> cmp(
...     "'-'.join(str(n) for n in range(100))",
...     "'-'.join([str(n) for n in range(100)])",
...     "'-'.join(map(str, range(100)))"
... )
timing now...
|████████████| 21/21 completed
                                      Table. Comparison Results (unit: s)                                      
───────────────────────────────────────────────────────────────────────────────────────────────────────────────
  Idx            Mean ↓            Median    Min      Max     Stdev                     Stmt                   
───────────────────────────────────────────────────────────────────────────────────────────────────────────────
   1    5.9e-6   75.7%   █████▎    5.9e-6   5.9e-6   6.0e-6   3.8e-8   '-'.join([str(n) for n in range(100)])  
   2    7.3e-6   93.4%   ██████▌   7.3e-6   7.2e-6   7.4e-6   7.6e-8   '-'.join(map(str, range(100)))          
   0    7.8e-6   100.%   ███████   7.8e-6   7.7e-6   8.0e-6   1.1e-7   '-'.join(str(n) for n in range(100))    
───────────────────────────────────────────────────────────────────────────────────────────────────────────────
7 runs, 10290 loops each, total time 1.509s                                                                    

The table shows some basic descriptive statistics on the execution time of each statement for comparison, including mean, median, minimum, maximum, and standard deviation.

In a command line interface, call as follows:

python -m timeit_compare - "'-'.join(str(n) for n in range(100))" - "'-'.join([str(n) for n in range(100)])" - "'-'.join(map(str, range(100)))"