csv, excel toolkit written in Rust

rsv is a command line tool to deal with small and big CSV, TXT, EXCEL files (especially >10G). rsv has following features:

Usage

download rsv.exe from release tab, and append the file directory to system path.

Available commands

Tips 1:

Tips 2:

All commands, except "clean" and "excel2csv", are allowed to be chained.

Tips 3:

You can always check usage of each command by rsv command --help or rsv command -h, for example, rsv frequency --help.

Basic Usage

shell rsv head data.csv # print as the file is rsv head --tabled data.csv # tabled rsv head -t data.csv # tabled too rsv head -s \t data.csv # CSV file with a tab separator rsv head data.xlsx # EXCEL file rsv head --help # help info on all flags

shell rsv headers data.csv # separator "," (default) rsv headers -s \t data.csv # separator tab rsv headers data.xlsx # EXCEL file rsv headers --help # help info on all flags

shell rsv count data.csv # plain-text file rsv count data.xlsx # EXCEL file rsv count --no-header data.csv rsv count --help # help info on all flags

shell rsv estimate data.csv rsv estimate data.xlsx rsv estimate --help # help info on all flags

shell rsv clean data.csv # default to clean escape char " rsv clean -e \"content-to-delete\" data.csv # escape is a str, clean str to empty rsv clean -o new-file.csv data.csv # save to new-file.csv, the default is data-cleaned.csv rsv clean --help # help info on all flags

```shell rsv frequency -c 0 data.csv # default to the first column, descending order rsv frequency -c 0 data.xlsx # EXCEL file rsv frequency -c 0,1,2,5 data.csv # columns 0, 1, 2, and 5 rsv frequency -c 0-2,5 data.csv # same as above rsv frequency -c 0-2 --export data.csv # export result to data-frequency.csv rsv frequency -n 10 data.csv # keep top 10 frequent items rsv frequency -a 10 data.csv # in ascending order rsv frequency --help # help info on all flags

column selection syntax: -c 0,1,2,5 --> cols [0,1,2,5] -c 0-2,5 --> same as cols [0,1,2,5] ```

shell rsv split data.csv # default to first column and field separator of , rsv split data.xlsx # EXCEL file rsv split -s \t data.csv # tab separator rsv split -c 1 data.csv # split based on second column rsv split -c 0 -s \t data.csv # first column, \t separator rsv split --size 1000 data.xlsx # Sequential split, 1000 records in a file. rsv split --help # help info on all flags

```shell rsv select -f 0=a,b,c data.csv # first column has values of a, b, or c rsv select -f 0=a,b,c data.xlsx # EXCEL file, sheet can be specified with the --sheet flag rsv select -f "0N>10&1=c" data.csv # first column > 10 numerically, AND the second column equals c rsv select -f 0!= --export data.csv # export result, in which the first column is non-empty rsv select --help # help info on other options

Filter syntax, support =, !=, >, >=, <, <= and &: -f 0=a,b,c --> first column is a, b, or c -f 0N=1,2 --> first column numerically equals to 1 or 2 -f 0!= --> first column is not empty -f "0>=2022-01-21" --> first column equal to or bigger than 2022-01-21, lexicographically -f "0N>10" --> first column > 10 numerically -f "0N>10&2=pattern" --> first column > 10 numerically, AND the third column equals to

NOTE: 1. only & (AND) operation is supported, | (OR) operation is not supported. 2. The filter option can be omitted to select all rows.

column selection syntax: -c 0,1,2,5 --> cols [0,1,2,5] -c 0-2,5 --> same as cols [0,1,2,5] ```

shell rsv flatten data.csv # default to show first 5 records rsv flatten -n 50 data.csv # show 50 records rsv flatten data.xls # EXCEL file rsv flatten --delimiter \"--\" data.csv # change line delimiter to anything rsv flatten --help # help info on all flags

shell rsv slice -s 100 -e 150 data.csv # set start and end index rsv slice -s 100 -l 50 data.csv # set start index and the length rsv slice -s 100 -l 50 data.xlsx # EXCEL FILE rsv slice -s 100 -l 50 --export data.csv # export to data-slice.csv rsv slice -e 10 --export data.csv # set end index and export data rsv slice -i 9 data.csv # the 10th line sliced only rsv slice --help # help info on all flags

shell rsv search PATTERN data.csv # search PATTERN rsv search "^\d{4}-\d{2}-\d{2}$" data.csv # search dates rsv search --export PATTERN data.csv # export result rsv search PATTERN data.xlsx # search EXCEL file rsv slice --help # help info on all flags

shell rsv sort -c 0 data.csv # default to sort by first column in ascending rsv sort -c 0D data.csv # descending sort rsv sort -c 0DN data.csv # sort as numeric values rsv sort -c 0DN,2N data.csv # sort two columns rsv sort -E data.csv # export result rsv sort data.xlsx # sort EXCEL file

shell rsv stats data.csv # all columns, statistics include: min, max, mean, unique, null rsv stats data.xlsx # EXCEL FILE rsv stats -c 0,1 data.csv # first two columns rsv stats -c 0,1 --export data.csv # export to data-stats.csv rsv slice --help # help info on all flags

shell rsv excel2csv data.xlsx # apply to xlsx file, default to first sheet (or sheet1) rsv excel2csv data.xls # apply also to xls file rsv excel2csv --sheet 1 data.xls # second sheet, e.g., sheet 2 rsv excel2csv -S 1 data.xls # same as above

shell rsv head data.csv | rsv table # convert result to an aligned table rsv slice -s 10 -e 15 data.csv | rsv table # convert result to an aligned table

Command pipeline

shell rsv search "^\d{4}-\d{2}-\d{2}$" data.csv | rsv table # search date and print in an aligned table rsv select -f 0=a,b data.csv | rsv frequency -c 0 # filter rows and get its frequency table rsv select -f "0!=&2N>10" data.csv | rsv head -n 5 # filter rows, and show head 5 records rsv select -f "2N=10,20" -c 0-4 data.csv | rsv stats # filter rows, select columns and make statistics rsv select -f "2N=10,20" -c 0-4 data.csv | rsv sort -c 2 # filter rows, select columns and sort data

shell rsv search pattern1 data.csv | rsv sort -c 1ND | rsv table # search, sort and print rsv select -f 1=a,b data.csv | rsv search pattern | rsv stats # select, search, and make statistics rsv select -f "0N>=10&0N<20" data.csv | rsv search pattern | rsv table # select, search, and print in a table

Bug report and suggestion

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Next

new features will be added in the future.