viewer for text data
Project description
vviewer
text viewer to show row data vertically
How to install
from pypi
(vviewer) $ pip install vviewer
for development
(vviewer) $ python setup.py develop
How to use
(vviewer) $ vviewer -h
usage: vviewer [-h] [-c [COLUMN [COLUMN ...]]] [-d DELIMITER] [-e ENCODING]
[--header HEADER] [--quotechar QUOTECHAR] [--quoting QUOTING]
[--sort]
data
positional arguments:
data set path to data file
optional arguments:
-h, --help show this help message and exit
-c [COLUMN [COLUMN ...]], --column [COLUMN [COLUMN ...]]
set column to display
-d DELIMITER, --delimiter DELIMITER
set delimiter character in file
-e ENCODING, --encoding ENCODING
set encoding
--header HEADER set path to header file
--quotechar QUOTECHAR
set quote character in file
--quoting QUOTING set quoting
--sort sort row data with header column name
Show all columns
(vviewer) $ vviewer tests/fixtures/blocks.csv
##### line no: 1
------------------------------------------------------------------------
001: number : 100
002: hash : 0xb40a0dfde1b270d7c58c3cb505c7e773c50198b28cce3e442c4e2f33ff764582
003: parent_hash : 0x3dd4dc843801af12c0a6dd687642467a3ce835dca09159734dec03109a1c1f1f
004: nonce : 0x6d88b33209e0a320
005: sha3_uncles : 0x1dcc4de8dec75d7aab85b567b6ccd41ad312451b948a7413f0a142fd40d49347
006: logs_bloom : 0x0000000000000000000000000000000000000000000000000...(snip)
007: transactions_root: 0x56e81f171bcc55a6ff8345e692c0f86e5b48e01b996cadc001622fb5e363b421
008: state_root : 0xf5f18c33ddff06efa928d22a2432fb34a11e6f62cce825cdad1c78e1068e6b7b
009: receipts_root : 0x56e81f171bcc55a6ff8345e692c0f86e5b48e01b996cadc001622fb5e363b421
010: miner : 0xc2fa6dcef5a1fbf70028c5636e7f64cd46e7cfd4
011: difficulty : 827755
012: total_difficulty : 85797483
013: size : 535
014: extra_data : 0xd783010502846765746887676f312e362e33856c696e7578
015: gas_limit : 15217318
016: gas_used : 0
017: timestamp : 1479653850
018: transaction_count: 0
------------------------------------------------------------------------
Enter to next line, or q (quit):
Filter any columns
(vviewer) $ vviewer tests/fixtures/blocks.csv -c number hash nonce miner
##### line no: 1
------------------------------------------------------------------------
001: number : 100
002: hash : 0xb40a0dfde1b270d7c58c3cb505c7e773c50198b28cce3e442c4e2f33ff764582
004: nonce : 0x6d88b33209e0a320
010: miner : 0xc2fa6dcef5a1fbf70028c5636e7f64cd46e7cfd4
------------------------------------------------------------------------
Enter to next line, or q (quit):
Use header.txt when data does not have the header line
(vviewer) $ vviewer tests/fixtures/blocks_without_header.csv --header tests/fixtures/blocks_header.txt
##### line no: 1
------------------------------------------------------------------------
001: number : 100
002: hash : 0xb40a0dfde1b270d7c58c3cb505c7e773c50198b28cce3e442c4e2f33ff764582
003: parent_hash : 0x3dd4dc843801af12c0a6dd687642467a3ce835dca09159734dec03109a1c1f1f
004: nonce : 0x6d88b33209e0a320
005: sha3_uncles : 0x1dcc4de8dec75d7aab85b567b6ccd41ad312451b948a7413f0a142fd40d49347
006: logs_bloom : 0x0000000000000000000000000000000000000000000000000...(snip)
007: transactions_root: 0x56e81f171bcc55a6ff8345e692c0f86e5b48e01b996cadc001622fb5e363b421
008: state_root : 0xf5f18c33ddff06efa928d22a2432fb34a11e6f62cce825cdad1c78e1068e6b7b
009: receipts_root : 0x56e81f171bcc55a6ff8345e692c0f86e5b48e01b996cadc001622fb5e363b421
010: miner : 0xc2fa6dcef5a1fbf70028c5636e7f64cd46e7cfd4
011: difficulty : 827755
012: total_difficulty : 85797483
013: size : 535
014: extra_data : 0xd783010502846765746887676f312e362e33856c696e7578
015: gas_limit : 15217318
016: gas_used : 0
017: timestamp : 1479653850
018: transaction_count: 0
------------------------------------------------------------------------
Enter to next line, or q (quit):
Complex example including east asian characters
(vviewer-public) $ vviewer tests/fixtures/e-stat-10102.csv --quoting all --column "調査年 コード" "B1106_森林面積【ha】" "B2101_自然公園面積【ha】" "B4110_最深積雪【cm】"
##### line no: 1
------------------------------------------------------------------------
001: 調査年 コード : 2016100000
011: B1106_森林面積【ha】 : ***
023: B2101_自然公園面積【ha】 : 5,565,967.00
047: B4110_最深積雪【cm】 : ***
------------------------------------------------------------------------
Enter to next line, or q (quit):
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