معرفی شرکت ها
csvspoon-1.0
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشترتوضیحات
A tool to manipulate csv files with headers.
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | csvspoon-1.0 |
| نام | csvspoon |
| نسخه کتابخانه | 1.0 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Jean-Benoist Leger |
| ایمیل نویسنده | jb@leger.tf |
| آدرس صفحه اصلی | https://github.com/jb-leger/csvspoon |
| آدرس اینترنتی | https://pypi.org/project/csvspoon/ |
| مجوز | - |
# csvspoon: a tool to manipulate csv file with headers
Again, again, and again.
## Installing
From pypi:
```
pip3 install csvspoon
```
Or developer version:
```
git clone <this repo>
cd csvspoon
pip3 install -e .
```
## Enable completion (for bash or other shells using bash-completion)
```
mkdir -p ~/.local/share/bash-completion/completions
register-python-argcomplete csvspoon > ~/.local/share/bash-completion/completions/csvspoon
```
## Python module
All methods and functions are accessible in the python module.
## Cli usage
```
usage: csvspoon [-h] {cat,apply,filter,sort,join,aggregate} ...
A tool to manipulate csv files with headers.
Again, again and again.
optional arguments:
-h, --help show this help message and exit
subcommands:
{cat,apply,filter,sort,join,aggregate}
cat Concatenate csv files.
apply Apply a formula to compute a new column.
filter Filter a csv with a formula.
sort Sort csv files.
join Operate join on csv files
aggregate Apply a aggregation formula to compute a new column.
```
## `csvspoon cat`
```
usage: csvspoon cat [-h] [-d DELIM] [-c INPUTENC] [-o OUTPUT] [-u ODELIM]
[-C OUTPUTENC] [-f FORMAT]
[input ...]
Concatenate csv files.
Empty fields added if some columns do not exist in all files
This method is completely streamed and no data is stored in memory.
positional arguments:
input Input file specification. If no input file is
provided, stdin is used as first input file, otherwise
use explicitly "-" for stdin. Can be a filename (e.g.
"file.csv"), a filename followed a semicolon and
column names separated by commas (e.g.
"file.csv:a_colname,another_colname"). A column can be
renamed while reading the file (e.g.
"file.csv:a_colname,new_colname=old_colname"). When
column names are specified, only these columns are
used, with the provided order.
optional arguments:
-h, --help show this help message and exit
-d DELIM, --delim DELIM
Input delimiter. (default: ',')
-c INPUTENC, --inputenc INPUTENC
Input encoding. (default: 'utf8')
-o OUTPUT, --output OUTPUT
Output file, else output on stdout.
-u ODELIM, --output-delim ODELIM
Output delimiter. (default: ',')
-C OUTPUTENC, --outputenc OUTPUTENC
Output encoding. (default: 'utf8')
-f FORMAT, --format FORMAT
Apply a format on a column on output. The argument
must be a column name followed by a colon and a format
specifier. e.g. "a_colname:5d" or "a_colname:+07.2f".
This option can be specified multiple time to format
different columns.
Examples:
Change delimiter of a csv file:
csvspoon cat -d "\t" -u ";" file.csv > result.csv
Change delimiter of a csv file with specified output:
csvspoon cat -o result.csv -d "\t" -u ";" file.csv
Cat two csv files:
csvspoon cat file1.csv file2.csv
Reformat two columns of a csv files:
csvspoon cat -f a_colname:5.1f -f another_colname:04d file.csv
Cat one csv file, keeping only a column:
csvspoon cat file.csv:a_col
Cat two csv files, renaming a column on the second file:
csvspoon cat file1.csv file2.csv:new_col=old_col,another_col
```
## `csvspoon apply`
```
usage: csvspoon apply [-h] [-d DELIM] [-c INPUTENC] [-o OUTPUT] [-u ODELIM]
[-C OUTPUTENC] [-f FORMAT] [-b BEFORE] [--np] [--sp]
[-t TYPE] [-a COLSPEC FORMULA]
[input]
Apply a formula to compute a new column.
The formula must be a valid python expression evaluated on each row.
This method is completely streamed and no data is stored in memory.
positional arguments:
input Input file specification. If no input file is
provided, stdin is used as input file. Can be a
filename (e.g. "file.csv"), a filename followed a
semicolon and column names separated by commas (e.g.
"file.csv:a_colname,another_colname"). A column can be
renamed while reading the file (e.g.
"file.csv:a_colname,new_colname=old_colname"). When
column names are specified, only these columns are
used, with the provided order.
optional arguments:
-h, --help show this help message and exit
-d DELIM, --delim DELIM
Input delimiter. (default: ',')
-c INPUTENC, --inputenc INPUTENC
Input encoding. (default: 'utf8')
-o OUTPUT, --output OUTPUT
Output file, else output on stdout.
-u ODELIM, --output-delim ODELIM
Output delimiter. (default: ',')
-C OUTPUTENC, --outputenc OUTPUTENC
Output encoding. (default: 'utf8')
-f FORMAT, --format FORMAT
Apply a format on a column on output. The argument
must be a column name followed by a colon and a format
specifier. e.g. "a_colname:5d" or "a_colname:+07.2f".
This option can be specified multiple time to format
different columns.
-b BEFORE, --before BEFORE
Run the following code before evaluate the expression
on each row. Can be specified multiple times. (e.g.
"import math").
--np Shortcut to `--before "import numpy as np"`
--sp Shortcut to `--np --before "import scipy as sp"`
-t TYPE, --type TYPE Apply type conversion on specified command prior to
expression. The argument must be a column name
followed by a valid Python type. See "--before" to
define non standard type. e.g. "a_column:int" or
"a_column:float". This option can be specified
multiple time to type different columns.
-a COLSPEC FORMULA, --add COLSPEC FORMULA, --add-column COLSPEC FORMULA
Append a new column (or update existing one). Take two
argument, COLSPEC and FORMULA. COLSPEC is the name of
the created column obtained by appling the formula.
The column is remplaced if already exists. The COLSPEC
can also contains a colon and a format specifier, see
"--format" for example. FORMULA must be a valid python
expression. For the current row, columns values are
accessible as local variable. e.g. "a_colname +
other_colname" or "min(a_colname, other_colname)". See
"--type" for typing other columns and "--before" for
run code before evaluating expression. Can be
specified multiple time.
Examples:
Combine text columns by a formula:
csvspoon apply -a name "lastname.upper()+' '+firstname.lower()" file.csv
Sum to integer columns:
csvspoon apply -t cola:int -t colb:int -a colsum "cola+colb" file.csv
Sum to integer columns and format the result:
csvspoon apply -t cola:int -t colb:int -a colsum:05d "cola+colb" file.csv
Compute complex expression between columns:
csvspoon apply \
-b "import math" \
-t x:float \
-t y:float \
-a norm "math.sqrt(x**2+y**2)" \
file.csv
Multiple computation can be done reusing newly created columns:
csvspoon apply -t x:int -a x2p1 "x**2+1" -a x2p1m1 "x2p1-1" file.csv
```
## `csvspoon filter`
```
usage: csvspoon filter [-h] [-d DELIM] [-c INPUTENC] [-o OUTPUT] [-u ODELIM]
[-C OUTPUTENC] [-f FORMAT] [-b BEFORE] [--np] [--sp]
[-t TYPE] [-a FILTER_FORMULA]
[input]
Evaluate a formula on each row, and keep only rows where the formula
is evaluated True.
The formula must be a valid python expression evaluated on each row.
This method is completely streamed and no data is stored in memory.
positional arguments:
input Input file specification. If no input file is
provided, stdin is used as input file. Can be a
filename (e.g. "file.csv"), a filename followed a
semicolon and column names separated by commas (e.g.
"file.csv:a_colname,another_colname"). A column can be
renamed while reading the file (e.g.
"file.csv:a_colname,new_colname=old_colname"). When
column names are specified, only these columns are
used, with the provided order.
optional arguments:
-h, --help show this help message and exit
-d DELIM, --delim DELIM
Input delimiter. (default: ',')
-c INPUTENC, --inputenc INPUTENC
Input encoding. (default: 'utf8')
-o OUTPUT, --output OUTPUT
Output file, else output on stdout.
-u ODELIM, --output-delim ODELIM
Output delimiter. (default: ',')
-C OUTPUTENC, --outputenc OUTPUTENC
Output encoding. (default: 'utf8')
-f FORMAT, --format FORMAT
Apply a format on a column on output. The argument
must be a column name followed by a colon and a format
specifier. e.g. "a_colname:5d" or "a_colname:+07.2f".
This option can be specified multiple time to format
different columns.
-b BEFORE, --before BEFORE
Run the following code before evaluate the expression
on each row. Can be specified multiple times. (e.g.
"import math").
--np Shortcut to `--before "import numpy as np"`
--sp Shortcut to `--np --before "import scipy as sp"`
-t TYPE, --type TYPE Apply type conversion on specified command prior to
expression. The argument must be a column name
followed by a valid Python type. See "--before" to
define non standard type. e.g. "a_column:int" or
"a_column:float". This option can be specified
multiple time to type different columns.
-a FILTER_FORMULA, --add FILTER_FORMULA, --add-filter FILTER_FORMULA
FORMULA must be a valid python expression, which is
casted to bool(). For the current row, columns values
are accessible as local variable. e.g. "a_colname >
other_colname" or "a_colname=='fixedvalue'". See "--
type" for typing other columns and "--before" for run
code before evaluating filter expression. Can be
specified multiple time.
Examples:
Filter csv file using two columns:
csvspoon filter -a "lastname!=firstname" file.csv
Chain filters on csv file:
csvspoon filter \
-a "lastname.startswith('Doe')" \
-a "firstname.starswith('John')" \
file.csv
Filter csv file with float column price:
csvspoon filter -t price:float -a "price>12.5" file.csv
Filter csv file with complex expression:
csvspoon filter \
-b "import math" \
-t x:float \
-t y:float \
-t z:float \
-a "math.sqrt(x**2+y**2)>z" \
file.csv
```
## `csvspoon sort`
```
usage: csvspoon sort [-h] [-d DELIM] [-c INPUTENC] [-o OUTPUT] [-u ODELIM]
[-C OUTPUTENC] [-f FORMAT] [-k KEYS] [-n] [-r] [-R]
[input]
Sort csv file.
Warning: this method need to store in memory all the input csv file.
positional arguments:
input Input file specification. If no input file is
provided, stdin is used as input file. Can be a
filename (e.g. "file.csv"), a filename followed a
semicolon and column names separated by commas (e.g.
"file.csv:a_colname,another_colname"). A column can be
renamed while reading the file (e.g.
"file.csv:a_colname,new_colname=old_colname"). When
column names are specified, only these columns are
used, with the provided order.
optional arguments:
-h, --help show this help message and exit
-d DELIM, --delim DELIM
Input delimiter. (default: ',')
-c INPUTENC, --inputenc INPUTENC
Input encoding. (default: 'utf8')
-o OUTPUT, --output OUTPUT
Output file, else output on stdout.
-u ODELIM, --output-delim ODELIM
Output delimiter. (default: ',')
-C OUTPUTENC, --outputenc OUTPUTENC
Output encoding. (default: 'utf8')
-f FORMAT, --format FORMAT
Apply a format on a column on output. The argument
must be a column name followed by a colon and a format
specifier. e.g. "a_colname:5d" or "a_colname:+07.2f".
This option can be specified multiple time to format
different columns.
-k KEYS, --key KEYS Column used for sorting. Can be specified multiple
time.
-n, --numeric-sort Compare according to numerical value.
-r, --reverse Reverse the result of comparisons.
-R, --random-sort Shuffle. If key specified, shuffle is performed inside
lines with the same key.
Examples:
Sort csv file using column cola:
csvspoon sort -k cola file.csv
Sort csv file using columns cola and colb:
csvspoon sort -k cola -k colb file.csv
Sort csv file using numerical mode on column numcol:
csvspoon sort -n -k numcol file.csv
Shuffle csv file:
csvspoon sort -R file.csv
```
## `csvspoon join`
```
usage: csvspoon join [-h] [-d DELIM] [-c INPUTENC] [-o OUTPUT] [-u ODELIM]
[-C OUTPUTENC] [-f FORMAT] [-l] [-r] [-e]
input [input ...]
Natural join of csv files.
Joins are performed from left to right.
Warning: this method need to store in memory all csv except the
first which is streamed.
If neither --left or --right specified, inner join is realized. For
complete outer join, use --left and --right together.
positional arguments:
input Input file specification. If less than two input files
are provided, stdin is used as first input file,
otherwise use explicitly "-" for stdin. Can be a
filename (e.g. "file.csv"), a filename followed a
semicolon and column names separated by commas (e.g.
"file.csv:a_colname,another_colname"). A column can be
renamed while reading the file (e.g.
"file.csv:a_colname,new_colname=old_colname"). When
column names are specified, only these columns are
used, with the provided order.
optional arguments:
-h, --help show this help message and exit
-d DELIM, --delim DELIM
Input delimiter. (default: ',')
-c INPUTENC, --inputenc INPUTENC
Input encoding. (default: 'utf8')
-o OUTPUT, --output OUTPUT
Output file, else output on stdout.
-u ODELIM, --output-delim ODELIM
Output delimiter. (default: ',')
-C OUTPUTENC, --outputenc OUTPUTENC
Output encoding. (default: 'utf8')
-f FORMAT, --format FORMAT
Apply a format on a column on output. The argument
must be a column name followed by a colon and a format
specifier. e.g. "a_colname:5d" or "a_colname:+07.2f".
This option can be specified multiple time to format
different columns.
-l, --left Perform left join. If more than two files are
provided, each join in a left join. Can be used with
`-r` to obtain a outer join.
-r, --right Perform right join. If more than two files are
provided, each join in a right join. Can be used with
`-l` to obtain a outer join.
-e, --empty Indicate than empty field have to be considered as a
value.
Examples:
Operate NATURAL JOIN on two csv files:
csvspoon join file1.csv file2.csv
Operate two NATURAL JOIN on three csv files:
csvspoon join file1.csv file2.csv file3.csv
Operate LEFT JOIN on two csv files
csvspoon join -l file1.csv file2.csv
Operate RIGHT JOIN on two csv files
csvspoon join -r file1.csv file2.csv
Operate OUTER JOIN on two csv files
csvspoon join -lr file1.csv file2.csv
```
## `csvspoon aggregate`
```
usage: csvspoon aggregate [-h] [-d DELIM] [-c INPUTENC] [-o OUTPUT]
[-u ODELIM] [-C OUTPUTENC] [-f FORMAT] [-b BEFORE]
[--np] [--sp] [-t TYPE] [-a COLSPEC FORMULA]
[-k KEYS]
[input]
Apply a formula to compute a new column.
The formula must be a valid python expression evaluated for each
groupped row.
Only aggregation or column with non ambiguous values are keeped.
Warning: this method need to store in memory all the input csv file.
positional arguments:
input Input file specification. If no input file is
provided, stdin is used as input file. Can be a
filename (e.g. "file.csv"), a filename followed a
semicolon and column names separated by commas (e.g.
"file.csv:a_colname,another_colname"). A column can be
renamed while reading the file (e.g.
"file.csv:a_colname,new_colname=old_colname"). When
column names are specified, only these columns are
used, with the provided order.
optional arguments:
-h, --help show this help message and exit
-d DELIM, --delim DELIM
Input delimiter. (default: ',')
-c INPUTENC, --inputenc INPUTENC
Input encoding. (default: 'utf8')
-o OUTPUT, --output OUTPUT
Output file, else output on stdout.
-u ODELIM, --output-delim ODELIM
Output delimiter. (default: ',')
-C OUTPUTENC, --outputenc OUTPUTENC
Output encoding. (default: 'utf8')
-f FORMAT, --format FORMAT
Apply a format on a column on output. The argument
must be a column name followed by a colon and a format
specifier. e.g. "a_colname:5d" or "a_colname:+07.2f".
This option can be specified multiple time to format
different columns.
-b BEFORE, --before BEFORE
Run the following code before evaluate the expression
on each row. Can be specified multiple times. (e.g.
"import math").
--np Shortcut to `--before "import numpy as np"`
--sp Shortcut to `--np --before "import scipy as sp"`
-t TYPE, --type TYPE Apply type conversion on specified command prior to
expression. The argument must be a column name
followed by a valid Python type. See "--before" to
define non standard type. e.g. "a_column:int" or
"a_column:float". This option can be specified
multiple time to type different columns.
-a COLSPEC FORMULA, --add COLSPEC FORMULA, --add-aggregation COLSPEC FORMULA
Append a new colon by aggregation of values. Take two
argument, COLSPEC and FORMULA. COLSPEC is the name of
the created column obtained the aggregation. The
COLSPEC can also contains a colon and a format
specifier, see "--format" for example. FORMULA must be
a valid python expression. For each column, list of
values to aggregate are accessible as local variable.
The formula should return a single value. e.g.
"sum(a_colname) + sum(other_colname)". See "--type"
for typing other columns and "--before" for run code
before evaluating expression. Can be specified
multiple time.
-k KEYS, --key KEYS Column used groupping the aggregate. Can be specified
multiple time. Similar to "GROUP BY" in SQL.
Examples:
Keeping unique lines, one line per group:
csvspoon aggregate \
-k group \
file.csv
Computing the total mean grade:
csvspoon aggregate \
--np \
-t grade:float \
-a meangrade "np.mean(grade)" \
file.csv
Computing the total mean grade specifing a format:
csvspoon aggregate \
--np \
-t grade:float \
-a meangrade:.2f "np.mean(grade)" \
file.csv
Computing the mean grade by group:
csvspoon aggregate \
--np \
-t grade:float \
-a meangrade "np.mean(grade)" \
-k group \
file.csv
Computing the mean grade, median, standard deviation by group:
csvspoon aggregate \
--np \
-t grade:float \
-a meangrade "np.mean(grade)" \
-a mediangrade "np.median(grade)" \
-a stdgrade "np.std(grade)" \
-k group \
file.csv
```
## Cli example
### csvspoon cat: Concatenate CSV files
- Change delimiter of a csv file:
```
csvspoon cat -d "\t" -u ";" file.csv > result.csv
```
- Change delimiter of a csv file with specified output:
```
csvspoon cat -o result.csv -d "\t" -u ";" file.csv
```
- Cat two csv files:
```
csvspoon cat file1.csv file2.csv
```
- Reformat two columns of a csv files:
```
csvspoon cat -f a_colname:5.1f -f another_colname:04d file.csv
```
- Cat one csv file, keeping only a column:
```
csvspoon cat file.csv:a_col
```
- Cat two csv files, renaming a column on the second file:
```
csvspoon cat file1.csv file2.csv:new_col=old_col,another_col
```
### csvspoon apply: Apply functions to add columns
- Combine text columns by a formula:
```
csvspoon apply -a name "lastname.upper()+' '+firstname.lower()" file.csv
```
- Sum to integer columns:
```
csvspoon apply -t cola:int -t colb:int -a colsum "cola+colb" file.csv
```
- Sum to integer columns and format the result:
```
csvspoon apply -t cola:int -t colb:int -a colsum:05d "cola+colb" file.csv
```
- Compute complex expression between columns:
```
csvspoon apply \
-b "import math" \
-t x:float \
-t y:float \
-a norm "math.sqrt(x**2+y**2)" \
file.csv
```
- Multiple computation can be done reusing newly created columns:
```
csvspoon apply -t x:int -a x2p1 "x**2+1" -a x2p1m1 "x2p1-1" file.csv
```
### csvspoon sort: Sort CSV file
- Sort csv file using column cola:
```
csvspoon sort -k cola file.csv
```
- Sort csv file using columns cola and colb:
```
csvspoon sort -k cola -k colb file.csv
```
- Sort csv file using numerical mode on column numcol:
```
csvspoon sort -n -k numcol file.csv
```
- Shuffle csv file:
```
csvspoon sort -R file.csv
```
### csvspoon filter: Filter CSV from given conditions
- Filter csv file using two columns:
```
csvspoon filter -a "lastname!=firstname" file.csv
```
- Chain filters on csv file:
```
csvspoon filter \
-a "lastname.startswith('Doe')" \
-a "firstname.starswith('John')" \
file.csv
```
- Filter csv file with float column price:
```
csvspoon filter -t price:float -a "price>12.5" file.csv
```
- Filter csv file with complex expression:
```
csvspoon filter \
-b "import math" \
-t x:float \
-t y:float \
-t z:float \
-a "math.sqrt(x**2+y**2)>z" \
file.csv
```
### csvspoon join: Join CSV files
- Operate NATURAL JOIN on two csv files:
```
csvspoon join file1.csv file2.csv
```
- Operate two NATURAL JOIN on three csv files:
```
csvspoon join file1.csv file2.csv file3.csv
```
- Operate LEFT JOIN on two csv files
```
csvspoon join -l file1.csv file2.csv
```
- Operate RIGHT JOIN on two csv files
```
csvspoon join -r file1.csv file2.csv
```
- Operate OUTER JOIN on two csv files
```
csvspoon join -lr file1.csv file2.csv
```
### csvspoon aggregate: Compute aggregation on CSV file
- Keeping unique lines, one line per group:
```
csvspoon aggregate \
-k group \
file.csv
```
- Computing the total mean grade:
```
csvspoon aggregate \
--np \
-t grade:float \
-a meangrade "np.mean(grade)" \
file.csv
```
- Computing the total mean grade specifing a format:
```
csvspoon aggregate \
--np \
-t grade:float \
-a meangrade:.2f "np.mean(grade)" \
file.csv
```
- Computing the mean grade by group:
```
csvspoon aggregate \
--np \
-t grade:float \
-a meangrade "np.mean(grade)" \
-k group \
file.csv
```
- Computing the mean grade, median, standard deviation by group:
```
csvspoon aggregate \
--np \
-t grade:float \
-a meangrade "np.mean(grade)" \
-a mediangrade "np.median(grade)" \
-a stdgrade "np.std(grade)" \
-k group \
file.csv
```
نیازمندی
| مقدار | نام |
|---|---|
| - | argparse |
| - | argcomplete |
| - | pytest |
| - | numpy |
زبان مورد نیاز
| مقدار | نام |
|---|---|
| >=3.5 | Python |
نحوه نصب
نصب پکیج whl csvspoon-1.0:
pip install csvspoon-1.0.whl
نصب پکیج tar.gz csvspoon-1.0:
pip install csvspoon-1.0.tar.gz