csvlook 命令详解

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

csvlook 命令安装：

-bash: csvlook: command not found

#通过 pip 安装
sudo pip install csvkit

#Debian
apt-get install csvkit

#Ubuntu
apt-get install csvkit

#Kali Linux
apt-get install csvkit

#Fedora
dnf install python3-csvkit

#OS X
brew install csvkit

#Raspbian
apt-get install python3-csvkit

csvlook 命令补充说明：

csvlook 以 Markdown 兼容的固定宽度格式将 CSV 呈现到命令行。

csvlook 命令语法：

csvlook [-h] [-d DELIMITER] [-t] [-q QUOTECHAR] [-u {0,1,2,3}] [-b]
               [-p ESCAPECHAR] [-z FIELD_SIZE_LIMIT] [-e ENCODING] [-L LOCALE]
               [-S] [--blanks] [--date-format DATE_FORMAT]
               [--datetime-format DATETIME_FORMAT] [-H] [-K SKIP_LINES] [-v]
               [-l] [--zero] [-V] [--max-rows MAX_ROWS]
               [--max-columns MAX_COLUMNS]
               [--max-column-width MAX_COLUMN_WIDTH] [-y SNIFF_LIMIT] [-I]
               [FILE]

csvlook 命令选项：

csvkit 的工具共享一组常用的命令行参数。并非每种工具都支持所有参数，因此请使用带有 --help 标志的工具检查哪些参数支持：

-d DELIMITER, --delimiter DELIMITER
                      Delimiting character of the input CSV file.
-t, --tabs            Specify that the input CSV file is delimited with
                      tabs. Overrides "-d".
-q QUOTECHAR, --quotechar QUOTECHAR
                      Character used to quote strings in the input CSV file.
-u {0,1,2,3}, --quoting {0,1,2,3}
                      Quoting style used in the input CSV file. 0 = Quote
                      Minimal, 1 = Quote All, 2 = Quote Non-numeric, 3 =
                      Quote None.
-b, --no-doublequote  Whether or not double quotes are doubled in the input
                      CSV file.
-p ESCAPECHAR, --escapechar ESCAPECHAR
                      Character used to escape the delimiter if --quoting 3
                      ("Quote None") is specified and to escape the
                      QUOTECHAR if --no-doublequote is specified.
-z FIELD_SIZE_LIMIT, --maxfieldsize FIELD_SIZE_LIMIT
                      Maximum length of a single field in the input CSV
                      file.
-e ENCODING, --encoding ENCODING
                      Specify the encoding of the input CSV file.
-L LOCALE, --locale LOCALE
                      Specify the locale (en_US) of any formatted numbers.
-S, --skipinitialspace
                      Ignore whitespace immediately following the delimiter.
--blanks              Do not coerce empty, "na", "n/a", "none", "null", "."
                      strings to NULL values.
--date-format DATE_FORMAT
                      Specify a strptime date format string like "%m/%d/%Y".
--datetime-format DATETIME_FORMAT
                      Specify a strptime datetime format string like
                      "%m/%d/%Y %I:%M %p".
-H, --no-header-row   Specify that the input CSV file has no header row.
                      Will create default headers (a,b,c,...).
-K SKIP_LINES, --skip-lines SKIP_LINES
                      Specify the number of initial lines to skip before the
                      header row (e.g. comments, copyright notices, empty
                      rows).
-v, --verbose         Print detailed tracebacks when errors occur.
-l, --linenumbers     Insert a column of line numbers at the front of the
                      output. Useful when piping to grep or as a simple
                      primary key.
--zero                When interpreting or displaying column numbers, use
                      zero-based numbering instead of the default 1-based
                      numbering.
-V, --version         Display version information and exit.

csvlook 命令参数：

csv 文件

csvlook 命令实例：

使用 csvlook 查看 csv 文件数据：

csvlook data.csv

csvlook 的输出看起来并不是很清爽，有可能会看到数据格式比较乱（竖线字符和破折号）。这是因为该数据集有很多列，并且它们不能一次全部放入终端中。这时候有两种方式解决：

# 1. 将输出通过管道传输到以显示行而无需换行，并使用箭头键左右滚动：less -S
csvlook data.csv | less -S

# 2. 在查看数据集之前，请减少其显示的列，使用 csvcut
$ csvcut -n data.csv

 1: state
 2: county
 3: fips
 4: nsn
 5: item_name
 6: quantity
 7: ui
 8: acquisition_cost
 9: total_cost
10: ship_date
11: federal_supply_category
12: federal_supply_category_name
13: federal_supply_class
14: federal_supply_class_name

#如上，我们的数据有14列。现在，我们只想取列2、5、6，命令行如下：
$ csvcut -c 2,5,6 data.csv

#此时 CSV 输出，只有3列，还可以通过名称来引用列：
$ csvcut -c county,item_name,quantity data.csv

csvlook 命令扩展阅读：

• csvkit 1.0.5 — csvkit 1.0.5 documentation
• q 命令

csvlook 命令评论