janitor | Simple HTTP Server behind the OAuth | OAuth library

by yoloseem Python Version: 0.1.1 License: MIT

X-Ray Key Features Code Snippets(10)Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | janitor Summary

janitor is a Python library typically used in Security, OAuth applications. janitor has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install janitor' or download it from GitHub, PyPI.

Simple HTTP Server behind the OAuth

Support

Quality

Security

License

Reuse

Support

janitor has a low active ecosystem.

It has 7 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 12 months.

There are 0 open issues and 1 have been closed. On average issues are closed in 1 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of janitor is 0.1.1

Quality

janitor has no bugs reported.

Security

janitor has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

janitor is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

janitor releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed janitor and discovered the below as its top functions. This is intended to give you an instant insight into janitor implemented functionality, and help decide if they suit your requirements.

Command - line entry point
Factory function for janitor
Read the README file

Get all kandi verified functions for this library.

janitor Key Features

No Key Features are available at this moment for janitor.

janitor Examples and Code Snippets

Convert pandas dataframe from wide to long by two year columns

Python

Lines of Code : 20

License : Strong Copyleft (CC BY-SA 4.0)

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# pip install pyjanitor
import pandas as pd
import janitor

(df.pivot_longer(column_names=["Journal*", "Score*"], 
                  names_to = ('.value', 'year'), 
                  names_pattern = r"(\D+)(\d+)")
   .assign(year = lambda

Insert rows to fill years gap in Pandas data frame

Python

Lines of Code : 25

License : Strong Copyleft (CC BY-SA 4.0)

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# pip install pyjanitor
import pandas as pd
import janitor

# create dictionary for new dates
dates = {"year": lambda df: range(2000, df.max() + 1)}

# execute complete, and fill the nulls with 0
(df.complete(dates, by="id", sort=True)

Complex column and row reverse using Pandas

Python

Lines of Code : 65

License : Strong Copyleft (CC BY-SA 4.0)

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index = ['s1', 's2', 'id']
temp = df.set_index(index)
temp.columns = temp.columns.str.split(r"([a|c]\d?)", expand = True).droplevel(-1)
temp.columns.names = ['date', None]
(temp.stack(level='date')
     .rename(columns={'c':'consumed1',

Convert multiple columns into a single column in Python

Python

Lines of Code : 33

License : Strong Copyleft (CC BY-SA 4.0)

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>>> df.melt(["Employee", "Year", "Index", "Program", "Status", "Bid Category", "Account"], 
            ["Jan", "Feb", "Mar", "Apr", "May", "Jun", 
             "Jul", "Aug", "Sep", "Oct", "Nov", "Dec"],
            "Percentage")

Join a time-series dataframe with an "interval" dataframe

Python

Lines of Code : 120

License : Strong Copyleft (CC BY-SA 4.0)

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data_test = data_test.drop_duplicates()
data_test.index = pd.IntervalIndex.from_arrays(data_test['Start'],
                                               data_test['End'],
                                               closed='both')

prod

Find maximum of value in a column of one dataframe given the value constraint of two columns in another dataframe

Python

Lines of Code : 73

License : Strong Copyleft (CC BY-SA 4.0)

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# pip install pyjanitor
import pandas as pd
import janitor

(df1.conditional_join(
            df2, 
            ('ST', 'Time', '<='), 
            ('ET', 'Time', '>='))
    .groupby(['ST', 'ET'], as_index = False)
    .stock
    .ma

I need to print the specific part of a line in a txt file

Python

Lines of Code : 10

License : Strong Copyleft (CC BY-SA 4.0)

Copy

file = open("Jobs.txt", "r")
lines = file.read().split('\n')
for line in lines:
    print(line.split(' ')[0])
file.close()

Janitors
Programers
Secretaries

Pandas equivalent of SQL case when statement to create new column

Python

Lines of Code : 42

License : Strong Copyleft (CC BY-SA 4.0)

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# pip install git+https://github.com/pyjanitor-devs/pyjanitor.git
import pandas as pd
import janitor
df.case_when(
    df.Tag.str.contains('tag1'), 'tag1', # condition, result
     df.Tag.str.contains('tag2'), 'tag2',
     df.Tag.str.conta

How to create duplicates for every value in a dataframe

Python

Lines of Code : 41

License : Strong Copyleft (CC BY-SA 4.0)

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df_this.merge(df_that, how='cross')
    scu_key    dates
0         4  02-2018
1         4  03-2018
2         4  04-2018
3         4  05-2018
4         8  02-2018
5         8  03-2018
6         8  04-2018
7         8  05-2018
8        10  0

How to add a row in a special form

Python

Lines of Code : 38

License : Strong Copyleft (CC BY-SA 4.0)

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# pip install pyjanitor
import pandas as pd
import janitor as jn
(df.assign(temp = df.df.diff().le(0).cumsum())
   .complete('df', 'temp') # helper function
   .fillna(0)
    # relevant if you care about the order
   .sort_values('temp', k

Community Discussions

Trending Discussions on janitor

Javascript: Merge List of JSON Objects on Same Key and Drop Un-merged Objects

Shiny Azure WebApp Authenticate as user to Azure SQL Server

Variable not replacing value in loop in R

Count factor levels inside another factor - R

How to rename columns based on the names of the previous column

Add grouped means to dataframe with grouped frequencies and proportions

How to write an efficient wrapper for data wrangling, allowing to turn off any wrapped part when calling the wrapper

Can we use add_row from tidyverse::tibble with across

How to add sub count in R dataframe

Suppress missing values in Tabyl xtabs in R

QUESTION

Javascript: Merge List of JSON Objects on Same Key and Drop Un-merged Objects

Asked 2021-Jun-02 at 20:20

I've looked through every "Merge JSON Objects on Same Key" question in SO, but to no avail.

I have two arrays of different-length JSON objects, like so, and I need to merge each JSON object that has a shared key (in this case, realName) and dump what is not appearing in both:

...

ANSWER

Answered 2021-Jun-02 at 20:17

I have a different approach for your problem . I don't use reduce . I map the first array and inside the mapping filter the first element from the second array that match with the actual element mapped . Here how I did it with code :

Source https://stackoverflow.com/questions/67811155

QUESTION

Shiny Azure WebApp Authenticate as user to Azure SQL Server

Asked 2021-May-17 at 16:06

I'm building a WebApp with a SQL DB as Backend. I'm Deploying the both parts on Azure, as Azure Webapp and SQL Server.

The SQL server is sercured with Azure AD (AAD). So only Users in a Group can access the DB.

So I'm trying to setup a workflow where the Webapp login the user and collect his Access token. And then uses the token to Query the SQL server.

I've registreted the App in AAD, where it is authorized to read the user ID and impersonate as the user.

I've the following code which is working local. But I can't get it to work deployed locally in a Docker Image.

...

ANSWER

Answered 2021-May-17 at 16:06

Connecting to SQL Server with an OAuth token requires use of a pre-connection attribute (basically a pointer to the token string). There is an open feature request at the odbc Github repo for this. I encourage you to upvote it, hopefully if it's popular enough it will get implemented.

Source https://stackoverflow.com/questions/67570465

QUESTION

Variable not replacing value in loop in R

Asked 2021-May-11 at 16:12

This is what I'm trying to do:

I have a large excel sheet I'm importing to R.
The data needs to be cleaned so one of the procedures is to test for character length.
Once the program finds a string that is too long, it needs to prompt the operator for a replacement
The operator inputs an alternative, and the program replaces the original with the input text.

The code I have seems to work procedurally, but the variable I have is not overwriting the original value.

...

ANSWER

Answered 2021-May-11 at 05:26

Try this approach with a for loop :

Source https://stackoverflow.com/questions/67480906

QUESTION

Count factor levels inside another factor - R

Asked 2021-May-06 at 09:17

Assume that we have a data frame with hundreds of observations of cars. Each observation can be grouped by model, brand and country.

How can we count how many models of cars are produced in each country?

I tried:

...

ANSWER

Answered 2021-May-06 at 09:17

You can do it in dplyr

Source https://stackoverflow.com/questions/67414670

QUESTION

How to rename columns based on the names of the previous column

Asked 2021-May-03 at 16:56

I have a data frame with columns generated from scraping the web for info in which several columns get the same name, e.g.

...

ANSWER

Answered 2021-Apr-28 at 13:56

Maybe try this :

Source https://stackoverflow.com/questions/67296932

QUESTION

Add grouped means to dataframe with grouped frequencies and proportions

Asked 2021-May-01 at 11:04

I have this sort of data:

...

ANSWER

Answered 2021-May-01 at 09:30

I hope this is what you are looking for:

Source https://stackoverflow.com/questions/67344604

QUESTION

How to write an efficient wrapper for data wrangling, allowing to turn off any wrapped part when calling the wrapper

Asked 2021-Apr-21 at 16:23

To streamline data wrangling, I write a wrapper function consisted of several "verb functions" that process the data. Each one performs one task on the data. However, not all tasks are applicable to all datasets that pass through this process, and sometimes, for certain data, I might want to switch off some "verb functions", and skip them.

I'm trying to understand whether there's a conventional/canonical way to build such workflow within a wrapper function in R. Importantly, a way that will be efficient, both performance-wise and concise code.

Example

As part of data wrangling, I want to carry out several steps:

Clean up column headers (using janitor::clean_names())
Recode values in the data, such that TRUE and FALSE are replaced with 1 and 0 (using gsub()).
Recode string values to lowercase (using tolower()).
Pivot wider based on specific id column (using tidyr::pivot_wider)
Drop rows with NA values (using dplyr::drop_na())

Toy data

...

ANSWER

Answered 2021-Mar-03 at 14:04

One way to do this would be

Source https://stackoverflow.com/questions/66458188

QUESTION

Can we use add_row from tidyverse::tibble with across

Asked 2021-Apr-18 at 18:10

Suppose I need to use add_row at last of a data set say iris like this!

...

ANSWER

Answered 2021-Apr-18 at 18:10

We can use adorn_totals

Source https://stackoverflow.com/questions/67151606

QUESTION

How to add sub count in R dataframe

Asked 2021-Apr-18 at 12:09

I have below-mentioned dataframe in R:

...

ANSWER

Answered 2021-Apr-18 at 12:09

package pivottabler may help here

Source https://stackoverflow.com/questions/67146940

QUESTION

Suppress missing values in Tabyl xtabs in R

Asked 2021-Apr-16 at 17:53

According to the tabyl documentation:

However, I can't figure out how to suppress the NA from the denominator!

Please see here for the data:

...

ANSWER

Answered 2021-Apr-16 at 17:48

By default, show_na = TRUE in tabyl. If we change it to FALSE, the OP's code should work

Source https://stackoverflow.com/questions/67129770

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install janitor

You can install using 'pip install janitor' or download it from GitHub, PyPI.
You can use janitor 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.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: