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https://github.com/a-r-j/npview
CLI tools for quickly inspecting CSV/TSV & NumPy (.npy) array files
https://github.com/a-r-j/npview
cli csv data-analysis inspector npy numpy python tsv
Last synced: 15 days ago
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CLI tools for quickly inspecting CSV/TSV & NumPy (.npy) array files
- Host: GitHub
- URL: https://github.com/a-r-j/npview
- Owner: a-r-j
- License: mit
- Created: 2022-01-14T00:43:44.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2022-03-23T22:45:34.000Z (almost 3 years ago)
- Last Synced: 2024-11-15T02:58:42.920Z (about 2 months ago)
- Topics: cli, csv, data-analysis, inspector, npy, numpy, python, tsv
- Language: Python
- Homepage:
- Size: 8.68 MB
- Stars: 2
- Watchers: 2
- Forks: 0
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# NPView
[](https://badge.fury.io/py/npview)
[](https://opensource.org/licenses/MIT)
CLI tools for quickly viewing data in various formats (eventually). Currently only `.npy` and `.csv`/`.tsv` files are supported.
## Installation
```bash
pip install npview
```
## Usage
### CSV
Results in a nicely-formatted and interactive view of the csv data with sidescrolling. Quit by pressing `q`. The number of rows and columsnare printed on exit.
```bash
csv {PATH_TO_YOUR_FILE.csv}
```
```bash
1 Unnamed: 0 PDB chain sequence interacting_residues >
2 181 181 5h9i A GPHMTGLAAISDALAADLAGLSFSSPVAHVYNPLLYAREPHVAYLSRFGSPPKEVLFVGMNPGPWGMAQTGVPFGEVAVVTEWLGINGTVTRPAGEHPKKRVDGFACRRSEVSGRRLWGFIRERFGTPERFFARFFVANYCPLLFLTAEGG>
3 19 19 1jdw A CPVSSYNEWDPLEEVIVGRAENACVPPFTIEVKANTYEKYWPFYQKQGGHYFPKDHLKKAVAEIEEMCNILKTEGVTVRRPDPIDWSLKYKTPDFESTGLYSAMPRDILIVVGNEIIEAPMAWRSRFFEYRAYRSIIKDYFHRGAKWTTAP>
4 91 91 2irp A NVELFKKFSEKVEEIIEAGRILHSRGWVPATSGNISAKVSEEYIAITASGKHKGKLTPEDILLIDYEGRPVGGGKPSAETLLHTTVYKLFPEVNAVVHTHSPNATVISIVEKKDFVELEDYELLKAFPDIHTHEVKIKIPIFPNEQNIPLL>
5 28 28 1m8z A GRSRLLEDFRNNRYPNLQLREIAGHIMEFSQDQHGSRFIQLKLERATPAERQLVFNEILQAAYQLMVDVFGNYVIQKFFEFGSLEQKLALAERIRGHVLSLALQMYGCRVIQKALEFIPSDQQNEMVRELDGHVLKCVKDQNGNHVVQKCI>
6 97 97 2jpt A GSELETAMETLINVFHAHSGKEGDKYKLSKKELKELLQTELSGFLDAQKDADAVDKVMKELDEDGDGEVDFQEYVVLVAALTVACNNFFWENS >
7 125 125 3ew8 A LVPVYIYSPEYVSMCDSLAKIPKRASMVHSLIEAYALHKQMRIVKPKVASMEEMATFHTDAYLQHLQKVSQEGEYGLGYLCPATEGIFDYAAAIGGATITAAQCLIDGMCKVAINWSGGWHHAKKDEASGFCYLNDAVLGILRLRRKFERI>
8 152 152 3sjz A AWPKVQPEVNIGVVGHVDHGKTTLVQAITGIWTSKHSEETIKLGYAETNIGVCESCKKPEAYVTEPSCKSCGSDDEPKFLRRISFIDAPGHEVLMATMLSGAALMDGAILVVAANEPFPQPQTREHFVALGIIGVKNLIIVQNKVDVVSKE>
9 161 161 4ehs A SAPSLEFLEKLVIRYLLEDRSLLDLAVGYIHSGVFLHKKQEFDALCQEKLDDPKLVALLLDANLPLKKGGFEKELRLLILRYFERQLKEIPKSSLPFSEKXICLKKARQAIXKLKQGELVAILE >
10 115 115 3bit A XEELNIDFDVFKKRIELLYSKYNEFEGSPNSLLFVLGSSNAENPYQKTTILHNWLLSYEFPATLIALVPGKVIIITSSAKAKHLQKAIDLFKDPESKITLELWQRNNKEPELNKKLFDDVIALINSAGKTVGIPEKDSYQGKFXTEWNPVW>
11 164 164 4iu4 A KKMSIVLAPFSGGQPHSGVELGPDYLLKQGLQQDMEKLGWDTRLERVFDGKVVEARKASDNGDRIGRVKRPRLTAECTEKIYKCVRRVAEQGRFPLTIGGDHSIALGTVAGVLSVHPDAGVIWVDAHADINTMSGTVSGNLHGCPLSILLG>
Num Rows:
11 test.csv
Num Columns:
8
```
```bash
npp {PATH_TO_YOUR_FILE.npy}
```
### NumPY
```bash
npv {PATH_TO_YOUR_FILE.npy} {THRESHOLD}
```
Where `{THRESHOLD}` is an integer specifying Total number of array elements which trigger summarization rather than full repr. Default is `sys.maxsize`.
```bash
npp {PATH_TO_YOUR_FILE.npy}
```
Will attempt to print your saved matrix & itss dimensions using [prettymatrix](https://github.com/samueljamesbell/prettymatrix):
```bash
(2x2)
┌ ┐
│ 1 22 │
│ 333 4444 │
└ ┘
```