simple Quandl python wrapper
Project description
quandl-py: Simple Quandl Python Wrapper
=======================================
Simple Python wrapper to return Quandl Api information as Pandas DataFrames
Simple Example
==============
This example shows all of the potential options for this wrapper
```python
import quandl-py as qp
qp.API_KEY = 'xxxxxxxxxxx'
qp.get('YAHOO', 'AAPL', start_date='2010-01-01', end_date='2015-09-30',
order='dsc', rows=10, collapse='monthly', transform='rdiff',
column_index=3)
```
This will return:
```
Date Low
0 2015-09-30 -0.031161
1 2015-08-31 -0.073691
2 2015-07-31 -0.031635
3 2015-06-30 -0.038799
4 2015-05-31 0.042703
5 2015-04-30 0.001769
6 2015-03-31 -0.030256
7 2015-02-28 0.097475
8 2015-01-31 0.060249
9 2014-12-31 -0.066413
```
In the above example, setting the API_KEY, dataset ('YAHOO'), and
ticker('AAPL') are required. All other parameters are optional.
Input Options
=============
``start_date`` and ``end_date`` should be specified in yyyy-mm-dd format
``order`` ['asc', 'dsc']
``rows`` an integer representing the numbers of rows to return
``collapse`` ['daily', 'weekly', 'monthly', 'quarterly', 'annual']
``transform`` ['diff', 'rdiff', 'cumul']
``column_index`` an integer representing the column to return
Installation
============
pip install quandl-py
=======================================
Simple Python wrapper to return Quandl Api information as Pandas DataFrames
Simple Example
==============
This example shows all of the potential options for this wrapper
```python
import quandl-py as qp
qp.API_KEY = 'xxxxxxxxxxx'
qp.get('YAHOO', 'AAPL', start_date='2010-01-01', end_date='2015-09-30',
order='dsc', rows=10, collapse='monthly', transform='rdiff',
column_index=3)
```
This will return:
```
Date Low
0 2015-09-30 -0.031161
1 2015-08-31 -0.073691
2 2015-07-31 -0.031635
3 2015-06-30 -0.038799
4 2015-05-31 0.042703
5 2015-04-30 0.001769
6 2015-03-31 -0.030256
7 2015-02-28 0.097475
8 2015-01-31 0.060249
9 2014-12-31 -0.066413
```
In the above example, setting the API_KEY, dataset ('YAHOO'), and
ticker('AAPL') are required. All other parameters are optional.
Input Options
=============
``start_date`` and ``end_date`` should be specified in yyyy-mm-dd format
``order`` ['asc', 'dsc']
``rows`` an integer representing the numbers of rows to return
``collapse`` ['daily', 'weekly', 'monthly', 'quarterly', 'annual']
``transform`` ['diff', 'rdiff', 'cumul']
``column_index`` an integer representing the column to return
Installation
============
pip install quandl-py
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