codetiming 1.4.0
A flexible, customizable timer for your Python code.
Requires Python: >=3.6
Keywords: timer,class,contextmanager,decorator

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# `codetiming` - A flexible, customizable timer for your Python code

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Install `codetiming` from PyPI:

```
$ python -m pip install codetiming
```

The source code is [available on GitHub](https://github.com/realpython/codetiming).

For a complete tutorial on `codetiming`, see [Python Timer Functions: Three Ways to Monitor Your Code](https://realpython.com/python-timer) on [Real Python](https://realpython.com/).

## Basic Usage

You can use `codetiming.Timer` in several different ways:

1. As a **class**:

    ```python
    t = Timer(name="class")
    t.start()
    # Do something
    t.stop()
    ```

2. As a **context manager**:

    ```python
    with Timer(name="context manager"):
        # Do something
    ```

3. As a **decorator**:

    ```python
    @Timer(name="decorator")
    def stuff():
        # Do something
    ```


## Arguments

`Timer` accepts the following arguments when it's created. All arguments are optional:

- **`name`:** An optional name for your timer
- **`text`:** The text that's shown when your timer ends. It should contain a `{}` placeholder that will be filled by the elapsed time in seconds (default: `"Elapsed time: {:.4f} seconds"`)
- **`initial_text`:** Show text when your timer starts. You may provide the string to be logged or `True` to show the default text `"Timer {name} started"` (default: `False`)
- **`logger`:** A function/callable that takes a string argument and will report the elapsed time when the logger is stopped (default: `print()`)

You can turn off explicit reporting of the elapsed time by setting `logger=None`.

In the template text, you can also use explicit attributes to refer to the `name` of the timer or log the elapsed time in `milliseconds`, `seconds` (the default), or `minutes`. For example:

```python
t1 = Timer(name="NamedTimer", text="{name}: {minutes:.1f} minutes")
t2 = Timer(text="Elapsed time: {milliseconds:.0f} ms")
```

Note that the strings used by `text` are **not** f-strings. Instead, they are used as templates that will be populated using `.format()` behind the scenes. If you want to combine the `text` template with an f-string, you need to use double braces for the template values:

```python
t = Timer(text=f"{__file__}: {{:.4f}}")
```

`text` is also allowed to be a callable like a function or a class. If `text` is a callable, it is expected to require one argument: the number of seconds elapsed. It should return a text string that will be logged using logger:

```python
t = Timer(text=lambda secs: f"{secs / 86400:.0f} days")
```

This allows you to use third-party libraries like [`humanfriendly`](https://pypi.org/project/humanfriendly/) to do the text formatting:

```python
from humanfriendly import format_timespan

t1 = Timer(text=format_timespan)
t2 = Timer(text=lambda secs: f"Elapsed time: {format_timespan(secs)}")
```

You may include a text that should be logged when the timer starts by setting `initial_text`:

```python
t = Timer(initial_text="And so it begins ...")
```

You can also set `initial_text=True` to use a default initial text.


## Capturing the Elapsed Time

When using `Timer` as a class, you can capture the elapsed time when calling `.stop()`:

```python
elapsed_time = t.stop()
```

You can also find the last measured elapsed time in the `.last` attribute. The following code will have the same effect as the previous example:

```python
t.stop()
elapsed_time = t.last
```


## Named Timers

Named timers are made available in the class dictionary `Timer.timers`. The elapsed time will accumulate if the same name or same timer is used several times. Consider the following example:

```pycon
>>> import logging
>>> from codetiming import Timer

>>> t = Timer("example", text="Time spent: {:.2f}", logger=logging.warning)

>>> t.start()
>>> t.stop()
WARNING:root:Time spent: 3.58
3.5836678670002584

>>> with t:
...     _ = list(range(100_000_000))
... 
WARNING:root:Time spent: 1.73

>>> Timer.timers
{'example': 5.312697440000193}
```

The example shows how you can redirect the timer output to the logging module. Note that the elapsed time spent in the two different uses of `t` has been accumulated in `Timer.timers`.

You can also get simple statistics about your named timers. Continuing from the example above:

```pycon
>>> Timer.timers.max("example")
3.5836678670002584

>>> Timer.timers.mean("example")
2.6563487200000964

>>> Timer.timers.stdev("example")
1.311427314335879
```

`timers` support `.count()`, `.total()`, `.min()`, `.max()`, `.mean()`, `.median()`, and `.stdev()`.


## Acknowledgments

`codetiming` is based on a similar module initially developed for the [Midgard Geodesy library](https://kartverket.github.io/midgard/) at the [Norwegian Mapping Authority](https://www.kartverket.no/en/).