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CLI tools for quickly inspecting CSV/TSV & NumPy (.npy) array files

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NPView

PyPI version supported python versions License: MIT

CLI tools for quickly viewing data in various formats (eventually). Currently only .npy and .csv/.tsv files are supported.

Installation

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.

csv {PATH_TO_YOUR_FILE.csv}
      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
npp {PATH_TO_YOUR_FILE.npy}

NumPY

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.

npp {PATH_TO_YOUR_FILE.npy}

Will attempt to print your saved matrix & itss dimensions using prettymatrix:

(2x2)
 ┌          ┐
 │ 1   22   │
 │ 333 4444 │
 └          ┘

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CLI tools for quickly inspecting CSV/TSV & NumPy (.npy) array files

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