woodwork | Python library that provides robust methods

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

kandi X-RAY | woodwork Summary

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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            kandi-support 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 6 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

            kandi-Quality Quality

              woodwork has 0 bugs and 0 code smells.

            kandi-Security 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.

            kandi-License 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.

            kandi-Reuse 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

            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

            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

            or from the conda-forge channel on conda:.

            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:.
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            Install
          • PyPI

            pip install woodwork

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            https://github.com/alteryx/woodwork.git

          • CLI

            gh repo clone alteryx/woodwork

          • sshUrl

            git@github.com:alteryx/woodwork.git

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