CoPA | Cascading plus City of Palo Alto open data

 by   Cascading Java Version: Current License: Non-SPDX

kandi X-RAY | CoPA Summary

kandi X-RAY | CoPA Summary

CoPA is a Java library. CoPA has no bugs, it has no vulnerabilities, it has build file available and it has low support. However CoPA has a Non-SPDX License. You can download it from GitHub.

Cascading plus City of Palo Alto open data
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            kandi-support Support

              CoPA has a low active ecosystem.
              It has 29 star(s) with 12 fork(s). There are 12 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 0 open issues and 2 have been closed. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of CoPA is current.

            kandi-Quality Quality

              CoPA has 0 bugs and 0 code smells.

            kandi-Security Security

              CoPA has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              CoPA code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              CoPA has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              CoPA releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.
              CoPA saves you 160 person hours of effort in developing the same functionality from scratch.
              It has 397 lines of code, 15 functions and 6 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed CoPA and discovered the below as its top functions. This is intended to give you an instant insight into CoPA implemented functionality, and help decide if they suit your requirements.
            • Utility function to print out the hash table
            • Decode the geohash
            • Decode a geohash
            • Gets precision
            • Performs a function operation
            • Encode a latitude and longitude into a string
            • Main method
            • Performs the operation
            • Performs the operation on a given function call
            • Operations on a function call
            • Calculate the distance from a point to a line
            Get all kandi verified functions for this library.

            CoPA Key Features

            No Key Features are available at this moment for CoPA.

            CoPA Examples and Code Snippets

            No Code Snippets are available at this moment for CoPA.

            Community Discussions

            QUESTION

            How to groupby in pandas and return dataframe instead of series?
            Asked 2022-Mar-05 at 01:38
            print(df.sample(50)):
            
            match_datetime       country                       league          home_team            away_team  home_odds  draw_odds  away_odds                    run_time  home_score  away_score
            72170  2021-10-17 12:30:00       Ukraine                  Persha Liga           Alliance             Uzhhorod       1.22       5.62       9.71  2021-10-17 09:22:20.212731         NaN         NaN
            100398 2021-11-02 14:35:00  Saudi Arabia                   Division 1        Al Qadisiya                Bisha       1.61       3.61       4.94  2021-11-02 09:13:18.768604         2.0         1.0
            33929  2021-09-11 23:00:00        Panama                          LPF           Veraguas         Plaza Amador       2.75       2.75       2.71  2021-09-10 23:47:54.682982         1.0         1.0
            12328  2021-08-15 15:30:00        Poland                  Ekstraklasa      Slask Wroclaw               Leczna       1.74       3.74       4.59  2021-08-14 22:44:26.136608         0.0         0.0
            81500  2021-10-24 13:00:00         Italy            Serie D - Group A          Caronnese              Saluzzo       1.69       3.60       4.28  2021-10-23 13:37:16.920175         2.0         2.0
            143370 2021-12-05 14:00:00        Poland                   Division 1     Chrobry Glogow          Widzew Lodz       3.36       3.17       2.15  2021-11-30 17:40:24.833519         0.0         0.0
            175061 2022-01-08 18:00:00         Spain       Primera RFEF - Group 1           R. Union       Extremadura UD       1.26       4.40      18.00  2022-01-08 17:00:46.662761         0.0         1.0
            21293  2021-08-29 16:00:00         Italy                      Serie B         Cittadella              Crotone       2.32       3.11       3.31  2021-08-26 18:04:46.221393         4.0         2.0
            97427  2021-11-01 17:00:00        Israel                Leumit League        M. Nazareth      Beitar Tel Aviv       1.92       3.26       3.75  2021-10-30 09:40:08.966330         4.0         2.0
            177665 2022-01-13 12:30:00         Egypt         Division 2 - Group C    Said El Mahalla              Al Magd       4.12       3.08       1.94  2022-01-12 17:53:33.570126         0.0         0.0
            69451  2021-10-17 05:00:00   South Korea                   K League 1            Gangwon           Gwangju FC       2.06       3.38       3.65  2021-10-15 09:55:54.578112         NaN         NaN
            4742   2021-08-10 20:30:00          Peru                       Liga 2  Deportivo Coopsol                 Grau       3.14       3.49       2.06  2021-08-10 18:14:01.996860         0.0         2.0
            22266  2021-08-29 13:00:00        France                      Ligue 1             Angers               Rennes       2.93       3.27       2.56  2021-08-27 12:26:34.904374         2.0         0.0
            46412  2021-09-26 04:00:00         Japan                    J2 League            Okayama            Blaublitz       2.24       2.90       3.63  2021-09-23 09:08:26.979783         1.0         1.0
            133207 2021-11-27 21:15:00       Bolivia         Division Profesional          Palmaflor             Blooming       1.51       4.05       5.10  2021-11-25 18:22:28.275844         3.0         0.0
            140825 2021-11-28 11:00:00         Spain       Tercera RFEF - Group 6         Valencia B           Torrellano       1.58       3.56       5.26  2021-11-28 19:54:40.066637         2.0         0.0
            226985 2022-03-04 00:30:00     Argentina  Copa de la Liga Profesional    Central Cordoba      Rosario Central       2.36       3.26       2.86  2022-03-02 17:23:10.014424         0.0         1.0
            137226 2021-11-28 12:45:00        Greece               Super League 2     Apollon Pontou               PAOK B       3.37       3.25       2.01  2021-11-27 15:13:05.937815         0.0         3.0
            182756 2022-01-22 10:30:00        Turkey                       1. Lig       Umraniyespor          Menemenspor       1.40       4.39       7.07  2022-01-19 17:25:27.128331         2.0         1.0
            89895  2021-10-28 16:45:00   Netherlands                   KNVB Beker               Ajax              Cambuur       9.10       5.55       1.26  2021-10-27 07:46:56.253996         0.0         5.0
            227595 2022-03-06 17:00:00        Israel                  Ligat ha'Al             Ashdod  Maccabi Petah Tikva       2.30       3.21       3.05  2022-03-02 17:23:10.014424         NaN         NaN
            57568  2021-10-02 13:00:00       Estonia                 Meistriliiga              Kalju               Legion       1.58       4.10       4.84  2021-10-02 10:55:35.287359         2.0         2.0
            227035 2022-03-04 19:00:00       Denmark                    Superliga      FC Copenhagen           Randers FC       1.70       3.84       5.06  2022-03-02 17:23:10.014424         NaN         NaN
            108668 2021-11-07 13:30:00       Germany         Oberliga Mittelrhein              Duren       Freialdenhoven       1.35       5.20       6.35  2021-11-06 17:37:37.629603         2.0         0.0
            86270  2021-10-25 18:00:00       Belgium               Pro League U21      Lommel SK U21        Lierse K. U21       3.23       3.84       1.92  2021-10-26 01:22:31.111441         0.0         0.0
            89437  2021-11-01 02:10:00      Colombia                    Primera A    America De Cali            Petrolera       1.86       2.92       4.60  2021-10-27 07:41:24.427246         NaN         NaN
            13986  2021-08-21 13:00:00        France                      Ligue 2              Dijon             Toulouse       3.92       3.51       1.94  2021-08-16 13:22:02.749887         2.0         4.0
            105179 2021-11-06 15:00:00       England         NPL Premier Division           Atherton        South Shields       3.90       3.42       1.82  2021-11-05 10:01:28.567328         1.0         1.0
            142821 2021-12-01 12:30:00      Bulgaria                   Vtora liga              Marek    Septemvri Simitli       1.79       3.38       4.35  2021-11-30 17:40:24.833519         2.0         2.0
            45866  2021-09-24 00:30:00     Venezuela             Primera Division       Dep. Tachira           Portuguesa       1.96       3.60       3.22  2021-09-23 09:08:26.979783         4.0         1.0
            76100  2021-10-22 16:30:00       Denmark                 1st Division        Hvidovre IF                 Koge       1.91       3.56       3.81  2021-10-21 08:43:12.445245         NaN         NaN
            115896 2021-11-14 16:00:00         Spain       Tercera RFEF - Group 6     Olimpic Xativa           Torrellano       2.78       2.89       2.39  2021-11-13 12:21:45.955738         1.0         0.0
            156159 2021-12-12 16:00:00         Spain       Segunda RFEF - Group 1   Marino de Luanco            Coruxo FC       2.19       3.27       3.07  2021-12-10 09:26:45.001977         0.0         0.0
            18240  2021-08-21 12:00:00       Germany            Regionalliga West       Rodinghausen         Fortuna Koln       3.25       3.60       2.00  2021-08-21 03:30:43.193978         NaN         NaN
            184913 2022-01-22 10:00:00         World                Club Friendly           Zilina B               Trinec       3.56       4.14       1.78  2022-01-22 16:44:32.650325         0.0         3.0
            16782  2021-08-22 23:05:00      Colombia                    Primera A          Petrolera            Dep. Cali       3.01       3.00       2.44  2021-08-19 18:24:24.966505         2.0         3.0
            63847  2021-10-10 09:30:00         Spain       Tercera RFEF - Group 7        Carabanchel           RSD Alcala       4.39       3.42       1.75  2021-10-09 12:03:50.720013         NaN         NaN
            7254   2021-08-12 16:45:00        Europe     Europa Conference League           Hammarby            Cukaricki       1.72       3.87       4.13  2021-08-11 23:48:31.958394         NaN         NaN
            82727  2021-10-24 14:00:00     Lithuania                       I Lyga         Zalgiris 2             Neptunas       1.76       3.78       3.35  2021-10-24 12:02:06.306279         1.0         3.0
            43074  2021-09-22 18:00:00       Ukraine                    Super Cup   Shakhtar Donetsk            Dyn. Kyiv       2.57       3.49       2.59  2021-09-19 09:39:56.624504         NaN         NaN
            65187  2021-10-11 18:45:00         World                    World Cup             Norway           Montenegro       1.56       4.17       6.28  2021-10-11 10:56:09.973470         NaN         NaN
            120993 2021-11-18 00:00:00           USA                         NISA   Maryland Bobcats      California Utd.       2.76       3.23       2.39  2021-11-17 20:36:26.562731         1.0         1.0
            201469 2022-02-12 15:00:00       England                   League One      AFC Wimbledon           Sunderland       3.30       3.48       2.17  2022-02-10 17:47:36.501159         1.0         1.0
            142180 2021-12-01 19:45:00      Scotland                  Premiership         St. Mirren          Ross County       2.06       3.25       3.85  2021-11-29 18:28:22.249662         0.0         0.0
            4681   2021-08-10 18:30:00        Europe             Champions League         Young Boys             CFR Cluj       1.48       4.29       6.92  2021-08-10 18:14:01.996860         3.0         1.0
            67321  2021-10-17 13:00:00         Spain                       LaLiga     Rayo Vallecano                Elche       1.78       3.64       4.99  2021-10-13 11:22:34.979378         NaN         NaN
            27499  2021-09-04 14:00:00       Iceland              Inkasso-deildin         Kordrengir              Fjolnir       2.18       3.66       2.82  2021-09-02 23:28:49.414126         1.0         4.0
            48962  2021-09-25 21:00:00        Mexico         Liga Premier Serie B            Uruapan         Lobos Huerta       1.83       3.69       3.70  2021-09-25 13:02:58.238466         NaN         NaN
            65636  2021-10-16 17:00:00   Switzerland                 Super League         Young Boys               Luzern       1.26       6.04       9.43  2021-10-11 10:56:09.973470         NaN         NaN
            17333  2021-08-21 14:00:00       Finland             Kakkonen Group A           Atlantis               Kiffen       1.57       4.29       4.42  2021-08-20 12:41:03.159846         1.0         1.0
                    
            
            ...

            ANSWER

            Answered 2022-Mar-05 at 01:38

            If I understand correctly, you would like to filter the dataframe to retain, for each run_time, the last two rows (or up to two rows) by match_datetime.

            Simplified answer

            This can be done relatively easily without any join, using GroupBy.tail(). (Note, my original answer was using GroupBy.rank(), but this is simpler, although slower):

            Source https://stackoverflow.com/questions/71357577

            QUESTION

            I try to get the values of 12 columns but it only returns the value of the first 4
            Asked 2022-Jan-29 at 02:12

            I have values from column A to column L, to collect these values I am using the following procedure:

            ...

            ANSWER

            Answered 2022-Jan-29 at 02:12

            In your situation, how about the following modification? In this modification, the length of each row is set as the same length.

            From:

            Source https://stackoverflow.com/questions/70899505

            QUESTION

            How to do a simple group by without any statistics like mean or count in Pandas?
            Asked 2021-Dec-08 at 23:43

            I have a dataframe with many columns.

            I want to do something like the summary tool in Alteryx. i.e. a simple group by. I am not interested in the statistics like mean or count or size.

            I dont want a hierarchial output

            How can I do it?

            ...

            ANSWER

            Answered 2021-Dec-08 at 23:43

            If you want to create a dataframe with two columns which shows which country has which league, then select the relevant columns and .drop_duplicates method:

            Source https://stackoverflow.com/questions/70282888

            QUESTION

            Why am I getting an empty dataframe?
            Asked 2021-Nov-13 at 07:42

            Here is my initial dataframe:

            ...

            ANSWER

            Answered 2021-Nov-13 at 07:38

            As suggested in the comments, you could try like this:

            Source https://stackoverflow.com/questions/69928988

            QUESTION

            Initialize the arrays inside an array of char* using a loop
            Asked 2021-Oct-20 at 01:01

            I need to create an array of strings, each representing a card of the Spanish deck:

            ...

            ANSWER

            Answered 2021-Oct-19 at 22:56

            In C, memory on the stack is allocated in terms of Scopes. So yes, your theory is right. You are rewriting on the same location.

            To fix your program, there are two possible solutions I can think of.

            • You can use Multidimensional Arrays.
            • Or you can allocate memory in heap using malloc (but make sure to free it once you are done with it)

            Source https://stackoverflow.com/questions/69638410

            QUESTION

            why does geom_text_repel() ignore size aesthetic?
            Asked 2021-Oct-11 at 11:18

            I am using geom_text_repel. Here is the code

            ...

            ANSWER

            Answered 2021-Oct-11 at 11:18

            To specify a literal size, rather than a variable that should be mapped to it, you remove the aes to get:

            Source https://stackoverflow.com/questions/69518160

            QUESTION

            How using urls in cells to loop to collect text from web pages and set value in another column?
            Asked 2021-Sep-01 at 11:56
            function Looping() {
              var sheet = SpreadsheetApp.getActive().getSheetByName('Clock'),
                  range,
                  values_array; 
              
              range = sheet.getRange('A2:A');
              values_array = range.getValues();
              var loop = JSON.stringify(values_array);
              
              for (var key in loop) {
                
                var column = SpreadsheetApp.getActiveSpreadsheet().getRange('B2:B');
                var values = column.getValues();
                var ct = 0;
                while ( values[ct] && values[ct][0] != "" ) {
                  ct++;
                }
                
                var webpage = UrlFetchApp.fetch(key).getContentText();
                sheet.getRange(ct+2, 2).setValue(webpage);
              }
            }
            
            ...

            ANSWER

            Answered 2021-Sep-01 at 11:56
            var loop = JSON.stringify(values_array);
            

            Source https://stackoverflow.com/questions/69007854

            QUESTION

            Scraping text() value if href contains a part of specific text
            Asked 2021-Aug-13 at 08:11

            I'm trying to collect the text in a if href contains venue/, so I tried to do it this way:

            ...

            ANSWER

            Answered 2021-Aug-13 at 08:11

            It seems like the issue is right on the first line, as the “venue” variable does not return what you expect.

            I propose you select the anchor you are looking for by getting the last element of type a in the div you provided and assign the value of its href attribute to a variable called venue. After that, check if the venue variable is equal to venue/. If the condition returns true, get the anchor’s inner text, assign it to a variable called result and log it.

            You can make it work by using the following code:

            Source https://stackoverflow.com/questions/68752244

            QUESTION

            Send the values collected by web scraping using CheerioGS to the spreadsheet
            Asked 2021-Aug-12 at 02:18

            CheerioGS project:
            https://github.com/tani/cheeriogs

            I would like to know how I can send the lineup values to Column A of the spreadsheet and substitute for Column B of the spreadsheet, I am learning to work with CheerioGS

            So far I've learned to save the results in Logger.log(), but I don't understand how to send them to the spreadsheet cells!

            ...

            ANSWER

            Answered 2021-Aug-12 at 02:18

            QUESTION

            How to get the right winner with highest card from a deck
            Asked 2021-May-11 at 21:37

            I am starting with python and I am trying to code a card game where a user and computer play for 5 rounds. User and computer have to get one random card from the deck I created and the winner is the one with the highest card.

            I have several problems in my code.

            For example, when I create the whole deck I get this output for the "bastos" cards:

            "8 de bastos", "9 de bastos", "10 de bastos" and "11 de bastos" instead of "sota de bastos", "caballo de bastos", "rey de bastos" and "as de bastos".

            It only happens with "bastos" because it is my first variable in the list. But I do not know how to fix this.

            Then I also have a problem with the result:

            ...

            ANSWER

            Answered 2021-May-11 at 20:46

            Some issues:

            • for c in carta will iterate each character of carta. That is not what you intended.
            • Changing n after you have assigned a value to carta, will not change carta.
            • When comparing carta_humano > carta_ordenador, you are comparing those strings, and so for example "rey" will be regarded greater than "as". You need to compare the numeric values of the cards.
            • "sotas" must be quoted

            I would suggest creating a class for a card, that will be like a tuple with rank and suit properties, and which has a __repr__ method that will take care of generating the "nice" name. By defining it as a tuple, the order is based on the first member (rank), which is what we need.

            I would also not shuffle and pick a random card. If you have already shuffled the deck, you can just take the last card. That is just as random as selecting a random one. You put the selected card back on the deck, but in my opinion that is overkill. There are cards enough to play 5 rounds, so don't bother putting them back. But that is just my opinion. It is not essential for your question.

            The final elif can be just an else as there is only one possibility left.

            Here is how it could work:

            Source https://stackoverflow.com/questions/67491761

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

            Vulnerabilities

            No vulnerabilities reported

            Install CoPA

            To build the sample app from the command line use:. Note that this depends on Gradle 1.3+, JVM 1.6, and Apache Hadoop 1.x.
            See the Leiningen build script in project.clj and Cascalog source in the src/main/clj/copa directory. Note that this depends on Cascalog 1.9 or later, Leiningen 2.0 or later, JVM 1.6, and Apache Hadoop 1.x.

            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:

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