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Tools for tab separated files manipulation in command line

Project description

| Build | Coverage | Documentation | PyPI | Code |
|:---:|:---:|:---:|:---:|:---:|
| [![CircleCI](https://circleci.com/gh/pavlov99/tabtools/tree/master.svg?style=svg)](https://circleci.com/gh/pavlov99/tabtools/tree/master) | ![](https://coveralls.io/repos/pavlov99/tabtools/badge.png) | [![Readthedocs](https://readthedocs.org/projects/tabtools/badge/?version=latest)](http://tabtools.readthedocs.io/en/latest/?badge=latest) | [![pypi](https://img.shields.io/pypi/v/tabtools.svg)](https://pypi.org/project/tabtools/) | [![Codacy Badge](https://api.codacy.com/project/badge/Grade/dab474ce648044979ce47ead7d923250)](https://www.codacy.com/app/pavlov99/tabtools) |

### Install

```python
pip install tabtools
```

### Tests

```python
tox
```

### Documentation
1. Visit `docs` folder and install Python dependencies: Sphinx, [Napoleon](https://sphinxcontrib-napoleon.readthedocs.io/en/latest/) plugin and [readthedocs theme](https://github.com/rtfd/sphinx_rtd_theme).
2. Build documentation: `make html`
3. Serve local files from `docs/_build/html` folder: `python -mSimpleHTTPServer`

### Notes

Example: convert CSV to TSV:

```bash
cat <(printf "# ") <(cat file.csv | tr "," "\t")
```

### Examples

Demo file consists of HSBC daily stock data.

```bash
> head tabtools/tests/files/hsbc-stock.tsv

# Date Open High Low Close Volume
2014-02-21 84.35 84.45 83.9 83.45 17275.0
2014-02-24 83.85 84.4 83.75 84.35 10549.0
2014-02-25 81.65 82.3 81.6 83.9 31186.0
2014-02-26 81.15 81.65 81.0 81.65 18937.0
2014-02-27 81.85 82.4 81.0 81.15 19688.0
2014-02-28 82.25 82.45 81.8 81.9 10806.0
2014-03-05 81.4 81.7 81.15 81.5 6101.0
2014-03-06 81.5 81.75 81.05 81.4 8642.0
2014-03-07 81.3 81.45 81.05 81.45 15464.0
```

Convert daily data to weekly:

```bash
> head tabtools/tests/files/hsbc-stock.tsv \
| tgrp -k 'week=strftime("%U", DateEpoch(Date))' \ # Define aggregation key (map emitter)
-g "Date=FIRST(Date); Open=FIRST(Open); High=MAX(High)" \ # Aggregated values to compute
-g "Low=MIN(Low); Close=LAST(Close); Volume=SUM(Volume)" # Extra aggregated values

# week Date Open High Low Close Volume
07 2014-02-21 84.35 84.45 83.9 83.45 17275.0
08 2014-02-24 83.85 84.4 81.0 81.9 91166
09 2014-03-05 81.4 81.75 81.05 81.45 30207
```

Sort original file, compute 3 different EMA (exponential moving average), MACD and simple moving average indicators, select last 10 lines and prettify output:

```bash
> cat tabtools/tests/files/hsbc-stock.tsv \
| tsrt -k Date \ # Sort by column name, not by "field number 1"
| tawk -o "Date; Open; High; Low; Close; Volume" \ # output original fields
-o "fast_macd = EMA(Close, 12) - EMA(Close, 26); slow_macd = EMA(fast_macd, 9)" \
-o "macd_histogram = fast_macd - slow_macd; ma50 = AVG(Close, 50)" \
| ttail \
| tpretty

Date | Open | High | Low | Close | Volume | fast_macd | slow_macd | macd_histogram | ma50
-----------+-------+-------+-------+-------+---------+-----------+-----------+----------------+---------
2015-07-02 | 69.55 | 69.75 | 69.3 | 70.15 | 17180.0 | -0.577588 | -0.302581 | -0.275007 | 73.7404
2015-07-03 | 69.55 | 70.25 | 69.45 | 69.55 | 13640.0 | -0.74297 | -0.390658 | -0.352311 | 73.7224
2015-07-06 | 67.6 | 68.85 | 67.0 | 69.55 | 34244.0 | -0.864075 | -0.485342 | -0.378734 | 73.6964
2015-07-07 | 68.7 | 69.0 | 68.35 | 67.9 | 15676.0 | -1.08074 | -0.604421 | -0.476315 | 73.6454
2015-07-08 | 66.2 | 67.6 | 66.0 | 68.45 | 31911.0 | -1.19429 | -0.722395 | -0.471898 | 73.5984
2015-07-09 | 67.05 | 67.5 | 65.35 | 65.75 | 29040.0 | -1.48504 | -0.874924 | -0.610114 | 73.4374
2015-07-10 | 68.1 | 68.45 | 67.0 | 67.75 | 31350.0 | -1.53636 | -1.00721 | -0.529149 | 73.2634
2015-07-13 | 69.0 | 69.05 | 67.0 | 68.1 | 16601.0 | -1.53114 | -1.112 | -0.419145 | 73.0974
2015-07-14 | 68.25 | 69.0 | 68.0 | 69.05 | 15219.0 | -1.43382 | -1.17636 | -0.257459 | 72.9294
2015-07-15 | 69.0 | 69.45 | 68.7 | 68.55 | 9676.0 | -1.38112 | -1.21731 | -0.163806 | 72.7614
```

### TODO:
* Add by-version (workflow) build status badges for CircleCI
* Testing in different python environments: https://discuss.circleci.com/t/testing-in-different-environments/450/13

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