[](https://badge.fury.io/py/mpu)
[](https://pypi.org/project/mpu/)
[](http://mpu.readthedocs.io/en/latest/?badge=latest)
[](https://travis-ci.org/MartinThoma/mpu)
[](https://coveralls.io/github/MartinThoma/mpu?branch=master)
# mpu
Martins Python Utilities (mpu) is a collection of utility functions and classes
with no other dependencies.
The total size of the package will never be bigger than 10 MB and currently it
is 15.7 kB in zipped form. This makes it a candidate to include into AWS Lambda
projects.
## Installation
```bash
$ pip install git+https://github.com/MartinThoma/mpu.git
```
It can, of course, also be installed via PyPI.
## Usage
### Datastructures
```python-repl
>>> from mpu.datastructures import EList
>>> l = EList([2, 1, 0])
>>> l[2]
0
>>> l[[2, 0]]
[0, 2]
>>> l[l]
[0, 1, 2]
```
### Shell
To enhance your terminals output, you might want to do something like:
```python
from mpu.shell import Codes
print("{c.GREEN}{c.UNDERLINED}Works{c.RESET_ALL}".format(c=Codes))
```
### Quick Examples
Creating small example datastructures is a task I encounter once in a while
for StackExchange answers.
```python
from mpu.pd import example_df
df = example_df()
print(df)
```
gives
```
country population population_time EUR
0 Germany 82521653.0 2016-12-01 True
1 France 66991000.0 2017-01-01 True
2 Indonesia 255461700.0 2017-01-01 False
3 Ireland 4761865.0 NaT True
4 Spain 46549045.0 2017-06-01 True
5 Vatican NaN NaT True
```
### Money
```python
import mpu
from fractions import Fraction
gross_income = mpu.units.Money("2345.10", "EUR")
net_income = gross_income * Fraction("0.80")
apartment = mpu.units.Money("501.23", "EUR")
savings = net_income - apartment
print(savings)
```
prints `1375.31 Euro`
### IO
* Download files with `mpu.io.download(source, sink)`
* Read CSV, JSON and pickle with `mpu.io.read(filepath)`
* Write CSV, JSON and pickle with `mpu.io.write(filepath, data)`
Raw data
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