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Classes for data manipulation

Project description

Python Classes for Data Manipulation

Build Status PyPI

dataiter currently includes classes DataFrame and ListOfDicts.

DataFrame is a class for tabular data similar to R's data.frame or pandas.DataFrame. It is under the hood a dictionary of NumPy arrays and thus capable of fast vectorized operations. You can consider this to be a very experimental, very light-weight alternative to Pandas with a simple and consistent API.

ListOfDicts is a class useful for manipulating data from JSON APIs. It provides functionality similar to libraries such as Underscore.js, with manipulation functions that iterate over the data and return a shallow modified copy of the original. attd.AttributeDict is used to provide convenient access to dictionary keys.

Installation

pip install dataiter

Documentation

dataiter is experimental, undocumented and the API subject to change. If you nevertheless want to try it, take a look at the below examples and see the source code for available functions, and the tests for more usage examples.

Quick Start Example: DataFrame

>>> import dataiter as di
>>> data = di.DataFrame.read_csv("data/vehicles.csv")
>>> data.filter(data.make == "Saab").sort(year=1).head(3)

     id make model  year        class           trans             drive
  int64 <U34  <U39 int64         <U34            <U32              <U26
  ----- ---- ----- ----- ------------ --------------- -----------------
0   380 Saab   900  1985 Compact Cars Automatic 3-spd Front-Wheel Drive
1   381 Saab   900  1985 Compact Cars Automatic 3-spd Front-Wheel Drive
2   382 Saab   900  1985 Compact Cars    Manual 5-spd Front-Wheel Drive

      cyl   displ    fuel   hwy   cty
  float64 float64    <U27 int64 int64
  ------- ------- ------- ----- -----
0      4.      2. Regular    19    16
1      4.      2. Regular    21    16
2      4.      2. Regular    23    17

Quick Start Example: ListOfDicts

>>> import dataiter as di
>>> data = di.ListOfDicts.read_json("data/vehicles.json")
>>> data.filter(make="Saab").sort(year=1).head(1)
[
  {
    "id": 380,
    "make": "Saab",
    "model": "900",
    "year": 1985,
    "class": "Compact Cars",
    "trans": "Automatic 3-spd",
    "drive": "Front-Wheel Drive",
    "cyl": 4,
    "displ": 2,
    "fuel": "Regular",
    "hwy": 19,
    "cty": 16
  }
]

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