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Merge pull request #48 from scikit-hep/er-tests
Add test coverage with coveralls.io
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.travis.yml

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- conda create -q -n testenv python=${PYTHON} root=${ROOT} rootpy pandas nose
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- export CONDA_ENV_PATH=$HOME/miniconda/envs/testenv
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- source activate testenv
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- pip install coverage coveralls
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script: nosetests
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#after_success:
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# - time coveralls
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after_success:
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- time coveralls
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notifications:
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email: false

README.md

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# root\_pandas
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[![Build Status](https://travis-ci.org/scikit-hep/root_pandas.svg?branch=master)](https://travis-ci.org/scikit-hep/root_pandas) [![PyPI](https://badge.fury.io/py/root_pandas.svg)](https://pypi.python.org/pypi/root_pandas/) [![DOI](https://zenodo.org/badge/17171/ibab/root_pandas.svg)](https://zenodo.org/badge/latestdoi/17171/ibab/root_pandas)
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[![Build Status](https://travis-ci.org/scikit-hep/root_pandas.svg?branch=master)](https://travis-ci.org/scikit-hep/root_pandas)
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[![Coverage Status](https://coveralls.io/repos/github/scikit-hep/root_pandas/badge.svg?branch=master)](https://coveralls.io/github/scikit-hep/root_pandas?branch=master)
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[![PyPI](https://badge.fury.io/py/root_pandas.svg)](https://pypi.python.org/pypi/root_pandas/)
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[![DOI](https://zenodo.org/badge/17171/ibab/root_pandas.svg)](https://zenodo.org/badge/latestdoi/17171/ibab/root_pandas)
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`root_pandas` is a convenience package built around the `root_numpy` library.
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It allows you to easily load and store pandas DataFrames using the columnar ROOT data format used in high energy physics.

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