Metadata-Version: 2.1
Name: dataiter
Version: 0.25
Summary: Classes for data manipulation
Home-page: https://github.com/otsaloma/dataiter
Author: Osmo Salomaa
Author-email: otsaloma@iki.fi
License: MIT
Platform: UNKNOWN
Requires-Python: >=3.6.0
Description-Content-Type: text/markdown
License-File: COPYING
License-File: AUTHORS.md

Python Classes for Data Manipulation
====================================

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dataiter currently includes the following classes.

**`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. Performance-wise dataiter relies on NumPy and
is likely to be at best comparable to Pandas.

**`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.

**`GeoJSON`** is a simple wrapper class that allows reading a GeoJSON
file into a `DataFrame` and writing a data frame to a GeoJSON file. Any
operations on the data are thus done with methods provided by the data
frame class. Geometry is read as-is into the "geometry" column, but no
special geometric operations are currently supported.

## Installation

```bash
# Latest stable version
pip install -U dataiter

# Latest development version
pip install -U git+https://github.com/otsaloma/dataiter#egg=dataiter
```

## Documentation

https://dataiter.readthedocs.io/


