woodwork | Python library that provides robust methods

by alteryx Python Version: 0.31.0 License: BSD-3-Clause

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

kandi X-RAY | woodwork Summary

woodwork is a Python library typically used in Data Science, Pandas, Spark applications. woodwork has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However woodwork build file is not available. You can install using 'pip install woodwork' or download it from GitHub, PyPI.

Woodwork provides a common typing namespace for using your existing DataFrames in Featuretools, EvalML, and general ML. A Woodwork DataFrame stores the physical, logical, and semantic data types present in the data. In addition, it can store metadata about the data, allowing you to store specific information you might need for your application.

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Quality

Security

License

Reuse

Support

woodwork has a low active ecosystem.

It has 120 star(s) with 19 fork(s). There are 18 watchers for this library.

There were 5 major release(s) in the last 12 months.

There are 159 open issues and 605 have been closed. On average issues are closed in 64 days. There are 5 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of woodwork is 0.31.0

Quality

woodwork has 0 bugs and 0 code smells.

Security

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

woodwork code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

woodwork is licensed under the BSD-3-Clause License. This license is Permissive.

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

Reuse

woodwork releases are available to install and integrate.

Deployable package is available in PyPI.

woodwork has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions, examples and code snippets are available.

It has 14791 lines of code, 1019 functions and 76 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Validate accessor parameters
Checks that the given column names match the given logical_types
Check if ignore_columns is set to True
Checks whether given index is unique
Create a list of column schemas
Convert a string to a set
Validate that the given semantic tags are used
Read data from a file
Import a module or raise ImportError
Validate column tags
Serialize a Pandas dataframe
Return the version logic for version control
Validate a given metric
Import a module
Save the file to disk
Serialize a Pandas dataframe to a file
Validates a series
Validate the metric
Gets the min version of a package
Get all available package versions
Standardize notebooks
Check that all notebooks have the same output
Check if a pandas series is a categorical function
Get the minimum and core requirements
Replace NaN values
Write the dataframe to a CSV file
Deserialize a dataframe
Return the minimum version of the list of available versions

Get all kandi verified functions for this library.

woodwork Key Features

No Key Features are available at this moment for woodwork.

woodwork Examples and Code Snippets

No Code Snippets are available at this moment for woodwork.

Community Discussions

Trending Discussions on woodwork

Troubleshooting weird artifact

Navbar links not getting smaller

Proper way to pass cutoff_time to dfs in featuretools 1.0.0

Can't get "position: sticky" to work on my navbar. Any help is appreciated

Creating "for" loop when webscraping with Rselenium and saving as dataframe

(Java) How can I make a loop that will assign random names I've generated from an array to multiple strings?

Syntax Error: Unexpected token, expected " , "

How do I iterate over different links to create a dataframe in pandas?

ACF repeater field not rendering the rows

String split in excel VBA gives type mismatch error

QUESTION

Troubleshooting weird artifact

Asked 2022-Mar-18 at 05:21

I've been staring at this for 90 minutes now - and I just can't figure it out.

Why is the 3rd element in the sub-menu of "Other" different than all the others? All elements works as intended in the sub-menu of "Info".

...

ANSWER

Answered 2022-Mar-18 at 05:21

Problem

Source https://stackoverflow.com/questions/71522533

QUESTION

Navbar links not getting smaller

Asked 2021-Dec-08 at 19:09

I am having an issue with my navbar, once I make the browser tab smaller, the text stays the same size but the logo gets smaller and smaller and disappears. How can I make it so everything gets smaller? If any more information is needed I will provide them. Here are some examples of my problem. 100% width page vs Page made smaller for smaller screens for example

...

ANSWER

Answered 2021-Dec-07 at 19:36

I think you're using @media wrong.

Source https://stackoverflow.com/questions/70265825

QUESTION

Proper way to pass cutoff_time to dfs in featuretools 1.0.0

Asked 2021-Nov-02 at 18:00

Recently I've updated featuretools to v1.0.0 and faced the following issue. I have instances that vary within time and I want to build time dependent features for them. Besides, I want to save some historical characteristics of those instances. So my cutoff time dataset consists of such columns as: time, instance_id and feature1, feature2, ..., target

When I tried to to run dfs, I got the error 'NoneType' object has no attribute 'logical_types'

I have found out that it is caused by the inner function get_ww_types_from_features

It tries to get the column types of cutoff time df, assuming it has woodwork type

...

ANSWER

Answered 2021-Oct-29 at 11:35

cutoff_times = pd.DataFrame()
cutoff_times['customer_id'] = [1, 2, 3, 1]
cutoff_times['time'] = pd.to_datetime(['2014-1-1 04:00',
                             '2014-1-1 05:00',
                             '2014-1-1 06:00',
                             '2014-1-1 08:00'])
cutoff_times['label'] = [True, True, False, True]
cutoff_times
fm, features = ft.dfs(entityset=es,`enter code here`
                      target_dataframe_name='customers',
                      cutoff_time=cutoff_times,
                      cutoff_time_in_index=True)
fm

Source https://stackoverflow.com/questions/69768008

QUESTION

Can't get "position: sticky" to work on my navbar. Any help is appreciated

Asked 2021-Oct-02 at 22:23

I have been frustratingly trying to get the "sticky" CSS property to work on my navbar and can not figure out how. At first I thought it was the flexbox, so I removed all of it and it still didn't work. Then I thought it was maybe a child-parent issue but still couldn't get it to work after troubleshooting it that way. I also don't want to use position: fixed because as far as I can tell it cuts off the top of the other content by putting it on top of it. Unlike sticky does. Any help would be appreciated.

...

ANSWER

Answered 2021-Oct-02 at 21:22

Add the sticky code to the header element instead.

Cool text animation, by the way.

Source https://stackoverflow.com/questions/69420278

QUESTION

Creating "for" loop when webscraping with Rselenium and saving as dataframe

Asked 2021-Sep-19 at 17:13

I have been playing around with Rselenium and webscraping from a list of URLs. Naturally, I would want to combine the data from each URL I scrape into a dataframe. When I do that, the dataframe that is returned will have the data, along with miscellaneous things such as "checkStatus", "statusClass" etc. Its quite difficult to explain but I hope that the code will help to explain it better.

...

ANSWER

Answered 2021-Sep-19 at 17:13

library(RSelenium)
library(tidyverse)

remDr <- remoteDriver( remoteServerAddr = "localhost",
                       port = 4444,
                       browserName = "chrome")

remDr$open()    
URL_list <- c("https://www.premierleague.com/players/4183/Ahmed-El-Mohamady/stats?co=1&se=363")

# Webscrape function
ScrapeDF <- function(link_element){
  #General Stats
  link_element <- remDr$findElement(using = "css selector",".statappearances")
  Appearance <- as.character(link_element$getElementText())
  link_element <- remDr$findElement(using = "css selector",".statwins")
  Wins <- as.character(link_element$getElementText())
  link_element <- remDr$findElement(using = "css selector",".statlosses")
  Losses <- as.character(link_element$getElementText())
  
  #Defence Stats
  link_element <- remDr$findElement(using = "css selector",".statclean_sheet")
  CleanSheet <- as.character(link_element$getElementText())
  link_element <- remDr$findElement(using = "css selector",".statgoals_conceded")
  Conceded <- as.character(link_element$getElementText())
  link_element <- remDr$findElement(using = "css selector",".stattotal_tackle")
  Tackles <- as.character(link_element$getElementText())
  link_element <- remDr$findElement(using = "css selector",".stattackle_success")
  SuccessfulTackle <- as.character(link_element$getElementText())
  link_element <- remDr$findElement(using = "css selector",".statlast_man_tackle")
  LastManTackle <- as.character(link_element$getElementText())
  link_element <- remDr$findElement(using = "css selector",".statblocked_scoring_att")
  BlockedShots <- as.character(link_element$getElementText())
  link_element <- remDr$findElement(using = "css selector",".statinterception")
  Interceptions <- as.character(link_element$getElementText())
  link_element <- remDr$findElement(using = "css selector",".stattotal_clearance")
  Clearance <- as.character(link_element$getElementText())
  link_element <- remDr$findElement(using = "css selector",".stateffective_head_clearance")
  HeadedClearance <- as.character(link_element$getElementText())
  link_element <- remDr$findElement(using = "css selector",".statclearance_off_line")
  ClearanceOffLine <- as.character(link_element$getElementText())
  link_element <- remDr$findElement(using = "css selector",".statball_recovery")
  Recovery <- as.character(link_element$getElementText())
  link_element <- remDr$findElement(using = "css selector",".statduel_won")
  DuelsWon <- as.character(link_element$getElementText())
  link_element <- remDr$findElement(using = "css selector",".statduel_lost")
  DuelsLost <- as.character(link_element$getElementText())
  link_element <- remDr$findElement(using = "css selector",".statwon_contest")
  Successful5050 <- as.character(link_element$getElementText())
  link_element <- remDr$findElement(using = "css selector",".stataerial_won")
  AerialWon <- as.character(link_element$getElementText())
  link_element <- remDr$findElement(using = "css selector",".stataerial_lost")
  AerialLost <- as.character(link_element$getElementText())
  link_element <- remDr$findElement(using = "css selector",".statown_goals")
  OwnGoal <- as.character(link_element$getElementText())
  link_element <- remDr$findElement(using = "css selector",".staterror_lead_to_goal")
  ErrorsToGoal <- as.character(link_element$getElementText())
  
  #Team Play Stats
  link_element <- remDr$findElement(using = "css selector",".statgoal_assist")
  Assists <- as.character(link_element$getElementText())
  link_element <- remDr$findElement(using = "css selector",".stattotal_pass")
  Passes <- as.character(link_element$getElementText())
  link_element <- remDr$findElement(using = "css selector",".stattotal_pass_per_game")
  PassperMatch <- as.character(link_element$getElementText())
  link_element <- remDr$findElement(using = "css selector",".statbig_chance_created")
  BigChanceCreated <- as.character(link_element$getElementText())
  link_element <- remDr$findElement(using = "css selector",".stattotal_cross")
  Crosses <- as.character(link_element$getElementText())
  link_element <- remDr$findElement(using = "css selector",".statcross_accuracy")
  CrossAcc <- as.character(link_element$getElementText())
  link_element <- remDr$findElement(using = "css selector",".stattotal_through_ball")
  ThroughBall <- as.character(link_element$getElementText())
  link_element <- remDr$findElement(using = "css selector",".stataccurate_long_balls")
  LongBall <- as.character(link_element$getElementText())
  
  #Discipline Stats
  link_element <- remDr$findElement(using = "css selector",".statyellow_card")
  YelCard <- as.character(link_element$getElementText())
  link_element <- remDr$findElement(using = "css selector",".statred_card")
  RedCard <- as.character(link_element$getElementText())
  link_element <- remDr$findElement(using = "css selector",".statfouls")
  Fouls <- as.character(link_element$getElementText())
  link_element <- remDr$findElement(using = "css selector",".stattotal_offside")
  Offside <- as.character(link_element$getElementText()) 
  
  #Attack stats
  link_element <- remDr$findElement(using = "css selector",".statgoals")
  Goals <- as.character(link_element$getElementText())
  link_element <- remDr$findElement(using = "css selector",".statatt_hd_goal")
  HeadedGoal <- as.character(link_element$getElementText())
  link_element <- remDr$findElement(using = "css selector",".statatt_rf_goal")
  RightFootGoal <- as.character(link_element$getElementText())
  link_element <- remDr$findElement(using = "css selector",".statatt_lf_goal")
  LeftFootGoal <- as.character(link_element$getElementText())
  link_element <- remDr$findElement(using = "css selector",".stathit_woodwork")
  Woodwork <- as.character(link_element$getElementText())
  
  
  DF_Compiled <- data.frame("Position" = Text, "Appearance" = Appearance,
                            "Wins" = Wins, "Losses" = Losses, "Goals" = Goals,
                            "HeadedGoals" = HeadedGoal, "RightFootGoal" = RightFootGoal,
                            "LeftFootGoal" = LeftFootGoal, "Woodwork" = Woodwork,
                            "YellowCard" = YelCard, "RedCard" = RedCard,
                            "Fouls" = Fouls, "Offside" = Offside, "Assist" = Assists,
                            "Passes" = Passes, "PassperMatch" = PassperMatch, "BigChanceCreated" = BigChanceCreated,
                            "Crosses" = Crosses, "CrossAcc" = CrossAcc, "ThroughBall" = ThroughBall,
                            "AccLongBall" = LongBall, "CleanSheet" = CleanSheet,
                            "Conceded" = Conceded, "Tackles" = Tackles,
                            "SuccessTackle" = SuccessfulTackle, "LastManTackle" = LastManTackle,
                            "BlockedShots" = BlockedShots, "Interceptions" = Interceptions,
                            "Clearances" = Clearance, "HeadedClearance" = HeadedClearance,
                            "OffLineClearance" = ClearanceOffLine,"Recoveries" = Recovery,
                            "DuelsWon" = DuelsWon, "DuelsLost" = DuelsLost,
                            "Successful50_50" = Successful5050, "AerialWon" = AerialWon,
                            "AerialLost" = AerialLost, "OwnGoal" = OwnGoal,
                            "ErrorsToGoal" = ErrorsToGoal)
}

## For loop to webscrape
CompletePlayerData <- tibble()

#looping function of scraping the stats for all the players
for (url in URL_list) {
  remDr$navigate(url)
  Sys.sleep(4)
  
  Position <- remDr$findElement(using = "css selector",".info")
  Text <- as.character(Position$getElementText())

  if(Text == "Defender"){
    # Return an empty list if call fails
    saved_list <- lapply(Position, possibly(ScrapeDF, list()))
  }
  
  new_data <- tibble(
    Position = Position %>% list(),
    Text = Text,
    saved_list = saved_list %>% list()
  )
  
  CompletePlayerData <- bind_rows(CompletePlayerData, new_data)
}

CompletePlayerData %>%
  select(saved_list) %>%
  unnest(saved_list) %>%
  unnest(saved_list) %>%
  distinct(Position, Goals, Appearance)

Source https://stackoverflow.com/questions/69244851

QUESTION

(Java) How can I make a loop that will assign random names I've generated from an array to multiple strings?

Asked 2021-Sep-16 at 21:50

Relatively new to Java, looking for a solution to a crucial part of a game I'm making for a class. The idea is to make a very simple stock market simulation game, but the problem is related to creating made-up company names. I have three arrays for the first, middle, and last names of companies. I'm trying to make some of these companies have one word names, others two, etc. So far I've used a random number generator and if/elif/else statement to simulate one, but I would like five of them and I would prefer a more efficient method of doing so. Here's the code:

...

ANSWER

Answered 2021-Sep-16 at 20:53

I'd encourage you to play around with it. That's the fun of programming is solving little puzzles like this, and there are a bunch of ways to do something like this. Here is one to give you some ideas:

Source https://stackoverflow.com/questions/69214726

QUESTION

Syntax Error: Unexpected token, expected " , "

Asked 2021-Jun-19 at 08:23

I'm getting this syntax error in react native: "Syntax Error: Unexpected token, expected "," "

...

ANSWER

Answered 2021-Jun-19 at 08:23

Remove the opening parens at article argument, or add a closing parens.

Source https://stackoverflow.com/questions/68044857

QUESTION

How do I iterate over different links to create a dataframe in pandas?

Asked 2021-Mar-22 at 02:11

I have been coding a script to scrape the premier league website for players. It will go into each player page from the main page then scrape the information specified from the table but I cannot loop it yet. I understand it probably is super verbose and horrible but I am still learning. I have stored a list of 843 links which I want to iterate through on both /overview and /stats links. How do I go about this? Any help would be greatly appreciated!

...

ANSWER

Answered 2021-Mar-21 at 01:41

You can use this example how to extract the data from the two URLs:

Source https://stackoverflow.com/questions/66727139

QUESTION

ACF repeater field not rendering the rows

Asked 2021-Jan-22 at 08:24

I have this website that I'm working on for a client. I jumped into the project and I have to create the accordion on the template file for specific pages. I just started getting deeper into PHP so I found a solution online in this article https://wpbeaches.com/create-an-acf-repeater-accordion-in-wordpress/ Now, my problem is this: I created the repeater field with two subfields https://prnt.sc/xfg3lv and I choose that it only shows on this page template https://prnt.sc/xfg6lw Then I created the fields on the actual page with that template https://prnt.sc/xfgdhp and inserted that piece of code from the article into the template file. Of course, I modified the names with my field names. The problem is that on the front it is not showing the rows even if they exist and just skips to the else statement. I will paste the complete code of that template page so if anyone can help it would be awesome. I'm busting my head for two days now on this issue.

The code (I marked where my code starts and ends):

...

ANSWER

Answered 2021-Jan-22 at 08:24

Try wrapping your content into:

Source https://stackoverflow.com/questions/65841454

QUESTION

String split in excel VBA gives type mismatch error

Asked 2020-Dec-10 at 12:13

I am working with Macro in excel VBA. I have a variable as follows:

...

ANSWER

Answered 2020-Dec-10 at 12:12

Split returns an Array of Strings. However, Debug.Print cannot print an Array. You need to specify an index:

Source https://stackoverflow.com/questions/65234074

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

Vulnerabilities

No vulnerabilities reported

Install woodwork

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Support

The Woodwork community is happy to provide support to users of Woodwork. Project support can be found in four places depending on the type of question:.

Find more information at: