Saravanan666/pypi-org huggingface dataset:
Package: exbook
Practice withexbookPackageThe packageexbookis used for practicing basic Python programming. So far there are totally 36 questions with different difficulty levels. For the purpose of practicing, you are recommended to only use basic built-in functions likefind(),min(),max()andsum(). Imported packages or more advanced functions or methods, such assort(),argmin(), orsplit()should be avoided.Steps of runningexbookStep 1: import the exercise bookfromexbookimportbookaseblen(eb)36The variableebis a tuple containing 36 questions.Step 2: print questionsEach question can be retrieved by the corresponding indices, and can be printed by the functionprint().print(eb[0])# Print the first questionDefine a function with two strings to be the input arguments. The output is 
the summation of the numerical values of the input strings. For example, if 
the input strings are "3.5"and "2.7", then the output is 6.2, as a floating
point number.Input1: strInput2: strOutput: floatTest 1:3.52.76.2Data Type Conversion: EasyThe printed question information includes: 1) the description of the question; 2) sample inputs and outputs; and 3) the ID and difficulty level of the question.Step 3: write a function to solve the questiondefdtc(string1,string2):returnfloat(string1)+float(string2)Step 4: check the correctness of the questionTheexbookpackage checks the correctness of the user-defined functions by a number of hidden tests. These tests can be run by the methodcheck().eb[0].check(dtc)You passed 3 of the 3 tests. 
The solution is correctIn case you want to know what is wrong with the tests, you may specify the argumentcheat=Trueto show the results of these hidden tests.eb[0].check(dtc,cheat=True)Input 1: strInput 2: strYour outputCorrect output: floatCorrectTest 1:3.52.76.26.2TrueTest 2:1.256.26.2TrueTest 3:246.06TrueYou passed 3 of the 3 tests. 
The solution is correct
Package: excalc
Python 패키지 배포 테스트 입니다.간단한 사칙연산 계산기<실행결과>종료 하려면 : 0첫번째 수 : 32연산자를 입력하세요! ( +, -, *, / ) : +두번째 수 : 43결과 : 32 + 43 = 75
Package: excalibrate
Placeholder Text November 2022Excalibrate (Extended xcalibrate) v. 0.0.6A Bayesian algorithm for calibration of radiometer devices used in 21-cm astrophysics experiments.Ian Roque, Will Handley & Nima Razavi-GhodsContact:ilvr2@cam.ac.ukBase methodology:arxiv:2011.14052Please cite the Excalibrate papers:I. L. V. Roque, W. J. Handley, N. Razavi-Ghods, Bayesian noise wave calibration for 21-cm global experiments,Monthly Notices of the Royal Astronomical Society, Volume 505, Issue 2, August 2021, Pages 2638–2646.https://academic.oup.com/mnras/article/505/2/2638/6279678
Package: excavate
Use ‘pip3 install excavate’ to install.SynopsisExcavateis a very simple command line utility used to understand how disk
usage in a particular part of the file system has changed over time. It lists
out the all of the files contained in a particular directory and its
subdirectories while sorting them according to when they last changed, from
youngest to oldest.  When listing the files it also gives their size and the
accumulated disk space need to hold the file and all younger files.
Files in the top three deciles in size are colored red, pink, and yellow
respectively.Usage: excavate [options] [<path>…]Options:-d, –date  give modification date rather than description of age-s, –size  sort by size rather than by age-w, –warn  warn of inaccessible filesNormally the output would be piped into more (or less). For example:> excavate /etc | less
MODIFIED             SIZE     ACCUM    FILE
just now             0 B      0 B      /etc/mtab
6 hours ago          76.3 kB  76.3 kB  /etc/ld.so.cache
6 hours ago          106 B    76.4 kB  /etc/selinux/targeted/seusers
6 hours ago          3.7 MB   3.78 MB  /etc/selinux/targeted/policy/policy.30
6 hours ago          13.2 kB  3.79 MB  /etc/selinux/targeted/contexts/files/file_contexts.homedirs
6 hours ago          44.7 kB  3.84 MB  /etc/selinux/targeted/contexts/files/file_contexts.homedirs.bin
6 hours ago          1.39 MB  5.23 MB  /etc/selinux/targeted/contexts/files/file_contexts.bin
6 hours ago          379 kB   5.61 MB  /etc/selinux/targeted/contexts/files/file_contexts
2 days ago           9 B      5.61 MB  /etc/tuned/active_profile
2 days ago           656 B    5.61 MB  /etc/vmware/config
3 days ago           15.3 kB  5.63 MB  /etc/cron.daily/google-chrome-beta
3 days ago           2.25 kB  5.63 MB  /etc/alternatives/google-chrome
3 days ago           33 B     5.63 MB  /etc/vmware/usbarb.rules
4 days ago           2.82 kB  5.63 MB  /etc/localtime
4 days ago           129 B    5.63 MB  /etc/selinux/targeted/.policy.sha512
4 days ago           607 B    5.63 MB  /etc/selinux/targeted/setrans.conf
4 days ago           2.62 kB  5.64 MB  /etc/selinux/targeted/booleans.subs_dist
4 days ago           74 B     5.64 MB  /etc/selinux/targeted/contexts/securetty_types
4 days ago           245 B    5.64 MB  /etc/selinux/targeted/contexts/customizable_types
4 days ago           422 B    5.64 MB  /etc/selinux/targeted/contexts/files/file_contexts.subs_dist
4 days ago           0 B      5.64 MB  /etc/selinux/targeted/contexts/files/file_contexts.subs
4 days ago           0 B      5.64 MB  /etc/selinux/targeted/semanage.trans.LOCK
4 days ago           0 B      5.64 MB  /etc/selinux/targeted/semanage.read.LOCK
4 days ago           30 B     5.64 MB  /etc/selinux/targeted/contexts/initrc_context
4 days ago           254 B    5.64 MB  /etc/selinux/targeted/contexts/default_contexts
...
Package: ex-cd
ex-cd高效下载E站gallery的所有历史数据尽量避免集中数据库，能放进文件夹的数据尽量放进文件夹尽量减少请求操作，能只用读文件的尽量只读文件尽量减少文件读写操作，能只用读文件列表的尽量只读文件列表Usagepython-mex_cd-c.vscode/config.jsonhttps://exhentai.org/g/2635845/ecbc9d9681/python-mex_cd-c<ajsonstring>https://exhentai.org/g/2635845/ecbc9d9681/You can see the example config file:.vscode/config.jsonYou can also set anEXCD_CONFIG_FILEenv to specify a file, and the config in this file will be overridden by the config specified by-c:exportEXCD_CONFIG_FILE=".vscode/config.json"python-mex_cd-c<ajsonstring>https://exhentai.org/g/2635845/ecbc9d9681/You can see the example command line:.vscode/launch.jsonHow does it work?URL更新flowchart TD

UrlCheck1[输入URL] --> UrlCheck2(从URL中提取目标文件夹路径\ngallery-dl --dump-json '%s' --range 0\n< gallery_path >)
UrlCheck2 --> UrlCheck3(检查是否是过时内容\n< gallery_path >/metadata/child.url是否存在)
UrlCheck3 --> UrlCheck4{child.url存在 ?}
UrlCheck4 -->|是| UrlCheck5(按照child.url更新URL为最新) --> UrlCheck1
UrlCheck4 -->|否| MetaCheck1[结束\n返回最新URL] --> OldPlacehold[后台执行\n过时元数据占位]过时元数据占位flowchart TD

UrlCheck1[输入URL] --> UrlCheck2(从URL中提取目标文件夹路径\ngallery-dl --dump-json '%s' --range 0\n< gallery_path >) --> MetaCheck1(检查元数据文件存在性\n< gallery_path >/metadata/*.json 文件存在)
MetaCheck1 --> MetaCheck2{元数据文件存在 ?}
MetaCheck2 -->|是| MetaCheck3(检查parent存在性\n元数据文件中存在parent字段) --> MetaCheck4{parent字段存在 ?} -->|是| UrlCheck3(按照parent字段更新URL为过时URL) --> UrlCheck1
UrlCheck3 --> OldPlacehold1(从URL中提取目标文件夹路径) --> OldPlacehold2[在目标文件夹路径下放置child.url]
MetaCheck2 -->|否| MetaCheck5(下载一个元数据\ngallery-dl -v '%s' --no-download --range 0)
MetaCheck4 -->|否| MetaCheck5 --> MetaCheck1元数据下载flowchart TD

UrlCheck1[输入URL] --> URL更新 --> UrlCheck2(从URL中提取目标文件夹路径\ngallery-dl --dump-json '%s' --range 0\n< gallery_path >) --> MetaCheck1(检查元数据文件存在性\n< gallery_path >/metadata/*.json 文件存在)
MetaCheck1 --> MetaCheck2{元数据文件存在 ?}
MetaCheck2 -->|是| MetaCheck4(检查元数据完整性\n< gallery_path >/metadata/*.json 每个文件都可json解析\n其中 'filecount' 值和 < gallery_path >/metadata/*.json 文件数相等)
MetaCheck4 --> MetaCheck5{元数据文件完整 ?}
MetaCheck5 -->|否| MetaCheck3
MetaCheck2 -->|否| MetaCheck3(下载元数据 gallery-dl -v '%s' --no-download) --> MetaCheck1
MetaCheck5 -->|是| MetaCheck6[结束]
MetaCheck3 --> MetaCheck6图片下载!!!!!!!!! TODO: 确定是最新之后，元数据下载和图片下载同时进行 !!!!!!!!!flowchart TD
UrlCheck1[输入URL] --> UrlCheck2[URL更新] --> ImgCheck1(检查图片文件存在性: \n< gallery_path >/metadata/*.json 对应的每一个图片文件都存在) --> ImgCheck2{图片文件均存在 ?} -->|是| ImgCheck3(检查图片文件内容: \n< gallery_path >/metadata/*.json 对应的图片文件的SHA1值都与< image_token >字段值相符) --> ImgCheck4{图片文件内容均符合image_token ?} -->|是| ImgCheck5[结束]
ImgCheck2 -->|否| Download(调用gallery-dl下载)
ImgCheck4 -->|否| Download
Download --> ImgCheck5
Package: excel-1drive-noPassword
excel_1drive_noPassword_____________________________________________The package is immensely useful for data analysts and scientsits who work with files placed in Excel Onedrive files.This package can be used to directly import all the sheets and their data in an excel file placed in the Onedrive without the need for username or password in a hssle free manner.The excel file in the Onedrive should be configured to be accessible by anyone with a valid url.Instructions.To install the package, perform:pipinstallexcel_1drive_noPasswordHow to use the methods:1. To extract the entire excel sheet as a Dictionary where the keys are the sheet names and the values are the dataframes:#Importing Library.importexcel_1drive_noPasswordasodrxl#The url of the excel file in the onedrive.url="https://1drv.ms/x/s!ApzxvrDY1mm1gTt1N0uvVwITl91i?e=z7YP4T"data_dict=odrxl.excel_1drive_toDict(url)2. To extract the sheetnames of the excel file.#Importing Library.importexcel_1drive_noPasswordasodrxl#The url of the excel file in the onedrive.url="https://1drv.ms/x/s!ApzxvrDY1mm1gTt1N0uvVwITl91i?e=z7YP4T"sheetnames=odrxl.excel_1drive_sheetnames(url)print(sheetnames)3. To extract a single sheet from the excel file as a dataframe.#Importing Library.importexcel_1drive_noPasswordasodrxl#The url of the excel file in the onedrive.url="https://1drv.ms/x/s!ApzxvrDY1mm1gTt1N0uvVwITl91i?e=z7YP4T"sheetname="sheet_1"df_sheet=odrxl.excel_1dr_SingleSheet_toDF(url,sheetname)Have fun. :-)
Package: excel2config
Excel2ConfigExcel2Config simple CLI tool generates network configuration based on Excel sheets which include Jinja2 template and data tables.RequirementsPython >= 3.9For Windows, select theAdd Python 3.x to PATHcheckbox during installation.Installationpip install excel2configInstallation CheckAfter installationexcel2configcommand added toSystem Pathand can be executed from any path easily as below:> excel2config -h
usage: excel2config [-h] [excelfile]

positional arguments:
  excelfile   excel file path [e.g. srlinux_config_1.xlsx] (OPTIONAL, default: config.xlsx)

options:
  -h, --help  show this help message and exitUsageSimple UsageRunexcel2configcommand withExcel File Pathfrom any path and check text output files inOutput Folder:excel2config <Excel_File_Path>Example for Windows:PS C:\Users\alg\desktop> excel2config C:\Users\alg\Desktop\test\config.xlsx
2022-07-17 09:07:40.275 INFO : OUTPUT FOLDER CREATED <OUTPUTS_config_20220717-090740>
2022-07-17 09:07:40.447 INFO : [C:\Users\alg\Desktop\test\config.xlsx] / [<Worksheet "NETWORK_INSTANCE">] START!
2022-07-17 09:07:40.463 INFO : [C:\Users\alg\Desktop\test\config.xlsx] / [<Worksheet "NETWORK_INSTANCE">] DONE!
2022-07-17 09:07:40.479 INFO : ALL DONE!
!!! ALL DONE! Press any key to exit...

PS C:\Users\alg\desktop> dir OUTPUTS_config_20220717-090740

    Directory: C:\Users\alg\desktop\OUTPUTS_config_20220717-090740

Mode                 LastWriteTime         Length Name
----                 -------------         ------ ----
-a----        17/07/2022     09:07            426 leaf1.txt
-a----        17/07/2022     09:07            258 leaf2.txt

PS C:\Users\alg\desktop>Excel FileOnly.xlsxExcel file format supported.For new features (e.g. Custom Jinja Function) check latest example Excel in project/examplesfolder.In Excel File first sheet isGLOBAL_VARS, this sheet optional and only for global template variables such as host-based (e.g. leaf1), all-host (ALL) and generator (GEN).GLOBAL_VARS Excel Sheet:Besides GLOBAL_VARS sheet, other sheets have two parts:Jinja2 Template (A2 cell):Jinja2 "IF", "FOR" and Filters can be used in template cell.Data Tables (Header rows start with B2 cell, Variable rows start with B3 cell):Range and generator supported in variable rows.Sheet name and Data Header name must have only[A-Za-z0-9_](alphanumeric with underscore) characters andnot start with numericcharacters.Sheet name starts with underscore "_" will be ignored. (e.g._TEST)As below example Jinja template render with every data table line and appendhost(e.g. leaf1) output text file.INTERFACE_CONFIG Excel Sheet:INTERFACE_CONFIG "leaf1.txt" outputs:interface ethernet 1/1/1
  description red_1
  no shutdown
  mtu 1500
  vrf member red
  no ip redirects
  ip address 10.1.1.100/24OTHER_CONFIG Excel Sheet:Example Excel file and outputs are in project/examplesfolder.EOF
Package: excel2dict
excel2dictexcel2dict support easy loading data from excel files.Intallingpip install excel2dictQuick Over ViewAssuming below sample data was saved as excel file named Book.xslx.foobar'a'1'b'2Simply, To convert to JSON format text file with command line.$ excel2dict Book.xlsx > out.json
$ less out.json
[
  {
    "foo": 'a',
    "bar": 1 
  },
  {
    "foo": 'b',
    "bar": 2 
  }
]As well, you can do the same thing in python script.>>> import excel2dict
>>> excel2dict.to_dict('Book.xlsx')
[
  {
    "foo": 'a',
    "bar": 1 
  },
  {
    "foo": 'b',
    "bar": 2 
  }
]Using Sheet DefinitionAs above example, at simple usage, some data representing dedicated data type(boolean, date, etc) in excel can not be handled usefully.For this use case, you use a sheet definition file. if exists, excel2dict load a definition file namedsheet_definition.yamlfrom the directory which a target excel file is saved in or optional argument specified to by-s.sample definitionsheets:
- name: Members
  cols: 
    - name: member_no
      schema:
        type: int
    - name: name
      schema:
        type: string
    - name: is_active
      schema:
        type: boolLabel DefinitionNormally, sheet name is named in a business context in which the name may include multibyte character, space, etc. but for handling in script or JSON text file, named only ascii character is useful.
For this, you can addlabeldefinition to the definition.For Sheetsheets:
- name: members
  label: New MembersFor Columncols: 
  - name: name
    label: Member's NameData Type Definitionexcel2dict suppot below data type.intschema:
  type: intstrschema:
  type: strboolschema:
  type: booldateschema:
  type: datedatetimeschema:
  type: datetimeFor needing to adjust timezone, specifing offset is avalable.schema:
  type: datetime
  offset: 9For example,2019-07-26T09:00:00in JST, this setting convert the datetime to2019-07-26T00:00:00A Bit Odd FunctionFor rare use case, you may need to convert values defined in other sheets as nested structure.For example, assuming there were 2 sheets as below,Sheet1UserAccess RightScottAdminTomGeneralSheet2Access RightReadWriteAdminOOGeneralOXSheet DefinitionOn Sheet1 setting, specifytypewithrefandsheetwith reference sheet name.sheets:
- name: Sheet1
  columns:
    - name: user
      label: User
      schema:
        type: int
    - name: access_right
      label: Access Right
      schema:
        type: ref
        sheet: Sheet2
- name: Sheet2
  columns:
    - name: ref_name
      label: Access RightOutputYou can get an output like below format defining asreftype.[
    {
      "user": "Scott",
      "access_right": {
        "Read": "O",
        "Write": "O"
      }
    },
    {
      "user": "Tom",
      "access_right": {
        "Read": "O",
        "Write": "X"
      }
    }
  ]How to specifyRequired setting are type and sheet.type:refsheet: reference sheet nameschema:
  type: ref
  sheet: Sheet2For array, specifingis_arrayis avalable.schema:
  type: ref
  sheet: Sheet2
  is_array: true
Package: excel2json-3
Excel to JSON ConverterA minimal API that converts MS Excel (.xls & .xlsx) files, or from a given URL into JSON files.FeaturesDownload as package usingpipand use in your code.Supports both type of MS Excel file formatsMS Excel 2003 (.xls)MS Excel 2007 (.xlsx)It also comes with command line interface (CLI) which facilitates the conversion from URL or local MS Excel file to JSON files.Example:GET file from URL & convert to JSON.excel2json-3--urlshttps://example.com/example.xlsGET file from disk & convert to JSON.excel2json-3--file/home/ubuntu/Documents/example.xlsxContributionYou can contribute in following ways:Report bugsAdd more "APIs"Give suggestions to make it betterFix issues & submit a pull requestInstallationUsingpipenv(Recommended)pipenvinstallexcel2json-3Usingpippipinstallexcel2json-3UsesConvert MS Excel File to JSON filefromexcel2jsonimportconvert_from_fileEXCEL_FILE='../example.xls'# or '../example.xlsx'convert(EXCEL_FILE)Convert to JSON file directly from URLfromexcel2jsonimportconvert_from_urlEXCEL_FILE_URL='https://www.example.com/example.xlsx'convert(EXCEL_FILE_URL)DEVELOPEMENTPre-requisitesPython 3Create Virtual EnviromentUsingpipenv(Recommended)Install pipenvpip install pipenvCreate envcd excel2json-3  # cd <repo_dir>
pipenv --three installActivate envpipenv shellInstall requirements from Pipefilepipenv syncUsingvirtualenvInstall virtualenvpip install virtualenvCreate virtualenvmkdir myvenv
cd myvenv
virtualenv myvenvActivatemyvenvvenvsource myvenv/bin/activate

or 

. myvenv/bin/activateInstall from requirements.txtpip install -r requirements.txtTesting```
pytest tests/test.py
```
Package: excel2jsonfile
excel2jsonConvert Excel into JSON, using defined names.InstallLinux or MacOSpython3-mvenvvenvsourcevenv/bin/activate
pip3installexcel2jsonfileWindowsCheck stackoverflow to find out how to create a virtual environment on Windows.Run itfromexcelform2json.excel2json.excel2jsonimportExcel2JSONref_excel2json=Excel2JSON(configuration_file="resources/config/excelform2json_config.json")result=ref_excel2json.main(excel_file="input/excels/Test1.xlsx")print("result:",result)ContributeClone this repositoryrun the following to get the referenced git repositoriesgitsubmoduleinit
gitsubmoduleupdate
Package: excel2mssql
excel-to-mssqlexcel2mssqlis a Python library that provides functionality to read data from Excel and CSV files and insert it into a Microsoft SQL Server database.Installationpipinstallexcel2mssqlUsageCsvToMssqlTo useCsvToMssql, you need to create an instance of the class and pass in the path to the CSV file, the name or IP address of the SQL Server, the name of the database to connect to, the name of the table to insert the data into, and the username and password to use for authentication.fromexcel2mssql.workerimportCsvToMssqlcsv_path="path/to/csv/file.csv"# This is just an example, preferably you would store these in environment variablesserver="localhost"database="mydatabase"schema="myschema"table_name="mytable"username="myusername"password="mypassword"csv_to_mssql=CsvToMssql(csv_path=csv_path,server=server,database=database,schmea=schema,table_name=table_name,username=username,password=password,)columns=["column1","column2","column3"]csv_to_mssql.csv_to_mssql(columns=columns,sep=",",encoding="utf-8",action="replace")ExcelToMssqlTo useExcelToMssql, you need to create an instance of the class and pass in the path to the Excel file, the name or IP address of the SQL Server, the name of the database to connect to, the name of the table to insert the data into, and the username and password to use for authentication.fromexcel2mssql.workerimportExcelToMssqlexcel_path="path/to/excel/file.xlsx"# This is just an example, preferably you would store these in environment variablesserver="localhost"database="mydatabase"schema="myschema"table_name="mytable"username="myusername"password="mypassword"excel_to_mssql=ExcelToMssql(excel_path=excel_path,server=server,database=database,schmea=schema,table_name=table_name,username=username,password=password,)sheet_name="Sheet1"columns=["column1","column2","column3"]excel_to_mssql.excel_to_mssql(sheet_name=sheet_name,columns=columns,action="replace")LicenseThis package is licensed under the MIT License. See theLICENSEfile for details.ContributingIf you find a bug or have a feature request, please open an issue on the repository. If you would like to contribute code, please fork the repository and submit a pull request.Before submitting a pull request, please make sure that your code adheres to the following guidelines:Follow thePEP 8style guide.Write docstrings for all functions and classes.Write unit tests for all functions and classes.Make sure that all tests pass by running pytest.Keep the code simple and easy to understand.
Package: excel2rdf
Python excel2rdfGenerate RDF from Excel spreadsheets.Installationpip3installexcel2rdfUsage$excel2rdf--help
Usage:excel2rdf[OPTIONS]INPUT_FILENAMEOUTPUT_FILENAME

Options:-fTEXTRDFformat--helpShowthismessageandexit.excel2rdfinput.xlsxoutput.ttlExcel FormattingThe first sheet in the Excel document (Sheet1) can be named anything. It is used as the data table.HeaderThe first column of the header must be nameduri. The value of the cells in the columnuriwill be the fully qualified URI of a resource for the given row. If left blank,excel2rdfwill generate a random URI.The other columns of the header denote thepredicateof the triple statement incurieformat. The cell values can be either a curie or any literal value.Example Data Sheeturirdf:typeschema:nameschema:PersonJohn Smithhttps://w3id.org/tern/resources/dada3918-f119-457b-a2e8-d10032ba44deschema:PersonJane Smith@enYes, you can also use language tags on your string literal values.Prefix DeclarationA sheet namedprefixesmust exist. This sheet contains the prefix declarations. The first cell in the row must begin with a#. The second cell must be the prefix value and the third cell must be the fully qualified base URI of the prefix.A single base URI is declared with the first cell containing##and the second cell containing the base URI.Example Prefix and Base URI Declaration##https://w3id.org/tern/resources/#schemahttp://schema.org/#rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#Full Excel Spreadsheet ExampleSeeexamples/manufacturers.xlsxfor a full example.CaveatsThe.character cannot be used in the headings of each column.
Package: excel2table
Excel2TableSimple command-line utility to convert csv, xls, xlsx, ods files to searchable and
sortable HTML table. Supports large datasets and horizontal scrolling for large number of columns.It is a variant ofcsvtotable.DemoHere is a demoofsample odsfile converted to HTML table with charts.Installationpip install --upgrade excel2tableGet startedexcel2table --helpConvertdata.odsfile todata.htmlfileexcel2table data.ods data.htmlOpen output file in a web browser instead of writing to a fileexcel2table data.ods --serveOptions-c,  --caption          Table caption
-d,  --delimiter        CSV delimiter. Defaults to ','
    -e,  --encoding         CSV encoding. Defaults to 'utf-8'.
-q,  --quotechar        Quote chracter. Defaults to '"'
-dl, --display-length   Number of rows to show by default. Defaults to -1 (show all rows)
-o,  --overwrite        Overwrite the output file if exists. Defaults to false.
-s,  --serve            Open html output in a web browser.
-h,  --height           Table height in px or in %. Default is 75% of the page.
-p,  --pagination       Enable/disable pagination. Enabled by default.
-vs, --virtual-scroll   Number of rows after which virtual scroll is enabled. Default is set to 1000 rows.
                        Set it to -1 to disable and 0 to always enable.
-nh, --no-header        Show default headers instead of picking first row as header. Disabled by default.
-e,  --export           Enable filtered rows export options.
-eo, --export-options   Enable specific export options. By default shows all.
                        For multiple options use -eo flag multiple times. For ex. -eo json -eo csvCreditsDatatablesChange log2.3.2 - 16.03.2019add tests in tar ball2.3.0 - 15.03.2019Addedadded this file into sour tar ball.fix problems with pyexcel-sortable & python3PR172.2.1 - 21.02.2017AddedVisualize stock data with candlestick, bar and line
csvtotablePR 24UpdatedUpdate baseline of csvtotable to 2.1.1