csvkit | A suite of utilities for converting to and working with CSV | CSV Processing library
kandi X-RAY | csvkit Summary
kandi X-RAY | csvkit Summary
A suite of utilities for converting to and working with CSV, the king of tabular file formats.
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Top functions reviewed by kandi - BETA
- Main entry point
- Convert a GeoJSON GeoJSON file to GeoJSON
- Convert a fixed width to a csv file
- Open an input file
- Return a list of column types
- Opens an Excel file
- Returns the names of the excel sheet
- Close the file
- The main function
- Match a column identifier
- Parse join column names
- Standardize column names
- Turn obj into a regular expression
- Parse a line into a dictionary
- Parses a line into a list of values
- Main entry point for the command line interface
csvkit Key Features
csvkit Examples and Code Snippets
Lines of Code : 76
License : No License
Copy$ for f in $(ls dat/mtcars_00*.csv); do
> head -1 $f
> done | csvlook -H
|----------+---------+---------+---------+---------+---------+---------+---------+---------+----------+----------+-----------|
| column1 | column2 | column3 | column ip,domain,hostname,signing,smbv1,os
192.168.0.10,CONTOSO,SRV-DC1,True,True,Windows Server 2012 R2 Datacenter 9600 x64
192.168.0.13,CONTOSO,SRV-DNS,True,True,Windows Server 2016 Standard 14393 x64
192.168.0.11,CONTOSO,SRV-DC2,True,True,Windows Server $ csvsql -i oracle --table mtcars dat/mtcars_001.csv
CREATE TABLE mtcars (
name VARCHAR2(19 CHAR) NOT NULL,
mpg FLOAT NOT NULL,
cyl INTEGER NOT NULL,
disp FLOAT NOT NULL,
hp INTEGER NOT NULL,
drat FLOAT NOT NULL,
wt FLOAT NOT NULL,
qsec FLOA python -m ensurepip
$ curl -sSL https://bootstrap.pypa.io/get-pip.py -o get-pip.py
$ python get-pip.py
csvstack file1.csv file2.csv ...
df1['employee_id'] = df1['employee_id'].str.strip()
df2['employee_id'] = df2['employee_id'].str.strip()
df1 = pd.read_csv('input1.csv', sep=',\s+', delimiter=',', encoding="utf-8", skipinitialspace=True)
df2 = pd.rcsvformat -T projects.csv | while IFS=$'\t' read number year title website slug
do
if [ ! -d "$number-$slug" ]; then
mkdir ./$number-$slug
fi
echo -e "Year: $year\n----\nTitle: $title\n----\nWebsite: $website" > $number-$slug/pipx install csvkit
/bin/sh: 1: csvformat: not found
sudo pip install csvkit
csvformat -h
$ python -m pip list | grep csvkit
csvkit 1.0.4
KeyError: "NCommunity Discussions
Trending Discussions on csvkit
QUESTION
I'm new to bash shell and I have to do a script with a csv file.
The file is a list of the participants, countries, sports and medals achieved.
when executing the script, I should give as parameters the nationality (column 3) and the sport (column 8). The script should return the amount of participants of that country for that sport, and the amount of medals achieved.
The amount of medals achieved is the sum of the columns "gold" "silver" "bronze" of each row which are columns 9,10 and 11.
I cannot use grep, awk, sed or csvkit.
So far, I have this code but I'm stuck with the medal counting part.
...ANSWER
Answered 2022-Apr-02 at 19:21Here is a pure bash implementation. Build a hash from field name to position ($h):
QUESTION
I'm packaging up a minimal Ubuntu distro to fit in a 4GB disk image, for use on a VPS. This image is a (C++) webapp which (among other things) writes and runs simple Python scripts to handle conversions between csv and xls files, with csvkit and XlsxWriter doing the heavy lifting. My entire Python knowledge is unfortunately limited to writing and running these scripts.
Problem: I install pip in the image to handle the download and install of csvkit and XlsxWriter. This creates a huge amount of cruft, including what seems to be a C++ development environment, just to install what I imagine (presumably incorrectly) is simply Python source code. I can't really afford this in a 4GB distribution.
Is there a lightweight alternative to using pip to do this? Can I just copy over a handful of files from the dev machine, for example? I suppose one alternative is simply to uninstall pip after use, but I'd rather keep the disk image clean if possible (if nothing else, it will compress better).
ANSWER
Answered 2022-Jan-25 at 14:43If you are using python3.4 or newer you might harness ensurepip from standard library. It allows installing pip if it was not installed alongside with python, after doing
QUESTION
I need regularly to create a new CSV file based on taking columns from another CSV file.
This involves:
- Select specific columns from the source CSV file in specific order
- Column 2 is column 3 of the source file
- Column 3 is column 2 of the source file
- Column 5 is column 18 of the source file
- and a few more columns in a similar way
- Set all cells in column 1 to have the fixed value "MS", Column header to be "Title"
- Set all cells in column 4 to be empty. Column header to be "Date Set"
I can see how to select specific columns using csvkit(using Python), but found no tools with an easy way to set the cell values on the other two columns I need.
This could be done in Excel, but are there any tools which would make the whole process easy to run regularly?
...ANSWER
Answered 2021-Nov-25 at 07:19You can use Miller. In example starting from this CSV
QUESTION
This is a bit convoluted, so bare with me.
I have a data file that I need to import into my company's software. I need to pre-process the CSV to make it into a format that is useable for me. I'm able to use linux or windows tools. The imports will eventually be automated so this pre-processing needs to be scriptable.
The CSV looks like:
...ANSWER
Answered 2020-Nov-09 at 09:39program.awk
QUESTION
I have again and again CSV files like this (formatted as a table):
...ANSWER
Answered 2020-Oct-07 at 09:05In Miller (https://github.com/johnkerl/miller) starting from
QUESTION
How can I print the column statistics for an SQL table like number of unique values, max and min value, etc?
I am interested in statistics the command line tool csvstat or pandas' describe and min/max/mean methods print out.
Note: I do not want to load the data completely in memory, so that pandas can analyse them.
Is there any command line tool which reads the SQL data on the fly to create these statistics?
...ANSWER
Answered 2020-Sep-18 at 14:18If you need just a rough estimate, you can access Oracle's data dictionary's statistics, that Oracle maintains automatically, generally daily. The table ALL_TAB_COL_STATISTICS has number of distinct values, number of nulls, and minimum and more.
The documentation says that minimum and maximum values for a particular column are held in the columns LOW_VALUE and HIGH_VALUE in the ALL_TAB_COL_STATISTICS table but those columns are a data type RAW(1000) so the data in those columns may need to be decoded.
If you need to occasionally get better estimates, you can invoke the dbms_stats.gather_table_stats procedure before querying the ALL_TAB_COL_STATISTICS table.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install csvkit
You can use csvkit like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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