Why I can't find ddply for h2o in python?





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ddply is present on H2OFrame documentation. However I can't find it.



I have the version 3.22.0.1 which I downloaded at here. The in the source code of this .whl I can't find ddply. However, in the documentation page, we see a link for the source code that contains ddply.



I wonder if ddply was removed, or if it is just present for h2o in R, or if it is just present in the enterprise version.



Why I can't find it?










share|improve this question





























    0















    ddply is present on H2OFrame documentation. However I can't find it.



    I have the version 3.22.0.1 which I downloaded at here. The in the source code of this .whl I can't find ddply. However, in the documentation page, we see a link for the source code that contains ddply.



    I wonder if ddply was removed, or if it is just present for h2o in R, or if it is just present in the enterprise version.



    Why I can't find it?










    share|improve this question

























      0












      0








      0








      ddply is present on H2OFrame documentation. However I can't find it.



      I have the version 3.22.0.1 which I downloaded at here. The in the source code of this .whl I can't find ddply. However, in the documentation page, we see a link for the source code that contains ddply.



      I wonder if ddply was removed, or if it is just present for h2o in R, or if it is just present in the enterprise version.



      Why I can't find it?










      share|improve this question














      ddply is present on H2OFrame documentation. However I can't find it.



      I have the version 3.22.0.1 which I downloaded at here. The in the source code of this .whl I can't find ddply. However, in the documentation page, we see a link for the source code that contains ddply.



      I wonder if ddply was removed, or if it is just present for h2o in R, or if it is just present in the enterprise version.



      Why I can't find it?







      python r h2o






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Nov 16 '18 at 18:11









      Eduardo ReisEduardo Reis

      491723




      491723
























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          ddply is not available in the python api, you are linking to out-of-date documentation.



          For the latest stable documentation please see this link: http://docs.h2o.ai/h2o/latest-stable/h2o-py/docs/index.html (and for 3.22.0.1 see http://h2o-release.s3.amazonaws.com/h2o/rel-xia/1/docs-website/h2o-py/docs/index.html).






          share|improve this answer
























          • Could you help me with this: Let's say I have a data frame with the meals I ate over each day of a week for the entire month. I wish I could group it per week day, and make a list of all the meals, e.g. Monday: [eggs, milk, pasta]. How could I do this in python with h2o or spark dataframe?

            – Eduardo Reis
            Nov 16 '18 at 19:39











          • as a first quick attempt you could try using h2o's group_by method. please this link for a few examples of using group by in h2o python: docs.h2o.ai/h2o/latest-stable/h2o-docs/data-munging/….

            – Lauren
            Nov 16 '18 at 20:17











          • I ended up using only spark because for me the h2o group_by seems to be very limited to those built-in operations.

            – Eduardo Reis
            Nov 20 '18 at 22:48














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          ddply is not available in the python api, you are linking to out-of-date documentation.



          For the latest stable documentation please see this link: http://docs.h2o.ai/h2o/latest-stable/h2o-py/docs/index.html (and for 3.22.0.1 see http://h2o-release.s3.amazonaws.com/h2o/rel-xia/1/docs-website/h2o-py/docs/index.html).






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          • Could you help me with this: Let's say I have a data frame with the meals I ate over each day of a week for the entire month. I wish I could group it per week day, and make a list of all the meals, e.g. Monday: [eggs, milk, pasta]. How could I do this in python with h2o or spark dataframe?

            – Eduardo Reis
            Nov 16 '18 at 19:39











          • as a first quick attempt you could try using h2o's group_by method. please this link for a few examples of using group by in h2o python: docs.h2o.ai/h2o/latest-stable/h2o-docs/data-munging/….

            – Lauren
            Nov 16 '18 at 20:17











          • I ended up using only spark because for me the h2o group_by seems to be very limited to those built-in operations.

            – Eduardo Reis
            Nov 20 '18 at 22:48


















          0














          ddply is not available in the python api, you are linking to out-of-date documentation.



          For the latest stable documentation please see this link: http://docs.h2o.ai/h2o/latest-stable/h2o-py/docs/index.html (and for 3.22.0.1 see http://h2o-release.s3.amazonaws.com/h2o/rel-xia/1/docs-website/h2o-py/docs/index.html).






          share|improve this answer
























          • Could you help me with this: Let's say I have a data frame with the meals I ate over each day of a week for the entire month. I wish I could group it per week day, and make a list of all the meals, e.g. Monday: [eggs, milk, pasta]. How could I do this in python with h2o or spark dataframe?

            – Eduardo Reis
            Nov 16 '18 at 19:39











          • as a first quick attempt you could try using h2o's group_by method. please this link for a few examples of using group by in h2o python: docs.h2o.ai/h2o/latest-stable/h2o-docs/data-munging/….

            – Lauren
            Nov 16 '18 at 20:17











          • I ended up using only spark because for me the h2o group_by seems to be very limited to those built-in operations.

            – Eduardo Reis
            Nov 20 '18 at 22:48
















          0












          0








          0







          ddply is not available in the python api, you are linking to out-of-date documentation.



          For the latest stable documentation please see this link: http://docs.h2o.ai/h2o/latest-stable/h2o-py/docs/index.html (and for 3.22.0.1 see http://h2o-release.s3.amazonaws.com/h2o/rel-xia/1/docs-website/h2o-py/docs/index.html).






          share|improve this answer













          ddply is not available in the python api, you are linking to out-of-date documentation.



          For the latest stable documentation please see this link: http://docs.h2o.ai/h2o/latest-stable/h2o-py/docs/index.html (and for 3.22.0.1 see http://h2o-release.s3.amazonaws.com/h2o/rel-xia/1/docs-website/h2o-py/docs/index.html).







          share|improve this answer












          share|improve this answer



          share|improve this answer










          answered Nov 16 '18 at 19:24









          LaurenLauren

          3,6111515




          3,6111515













          • Could you help me with this: Let's say I have a data frame with the meals I ate over each day of a week for the entire month. I wish I could group it per week day, and make a list of all the meals, e.g. Monday: [eggs, milk, pasta]. How could I do this in python with h2o or spark dataframe?

            – Eduardo Reis
            Nov 16 '18 at 19:39











          • as a first quick attempt you could try using h2o's group_by method. please this link for a few examples of using group by in h2o python: docs.h2o.ai/h2o/latest-stable/h2o-docs/data-munging/….

            – Lauren
            Nov 16 '18 at 20:17











          • I ended up using only spark because for me the h2o group_by seems to be very limited to those built-in operations.

            – Eduardo Reis
            Nov 20 '18 at 22:48





















          • Could you help me with this: Let's say I have a data frame with the meals I ate over each day of a week for the entire month. I wish I could group it per week day, and make a list of all the meals, e.g. Monday: [eggs, milk, pasta]. How could I do this in python with h2o or spark dataframe?

            – Eduardo Reis
            Nov 16 '18 at 19:39











          • as a first quick attempt you could try using h2o's group_by method. please this link for a few examples of using group by in h2o python: docs.h2o.ai/h2o/latest-stable/h2o-docs/data-munging/….

            – Lauren
            Nov 16 '18 at 20:17











          • I ended up using only spark because for me the h2o group_by seems to be very limited to those built-in operations.

            – Eduardo Reis
            Nov 20 '18 at 22:48



















          Could you help me with this: Let's say I have a data frame with the meals I ate over each day of a week for the entire month. I wish I could group it per week day, and make a list of all the meals, e.g. Monday: [eggs, milk, pasta]. How could I do this in python with h2o or spark dataframe?

          – Eduardo Reis
          Nov 16 '18 at 19:39





          Could you help me with this: Let's say I have a data frame with the meals I ate over each day of a week for the entire month. I wish I could group it per week day, and make a list of all the meals, e.g. Monday: [eggs, milk, pasta]. How could I do this in python with h2o or spark dataframe?

          – Eduardo Reis
          Nov 16 '18 at 19:39













          as a first quick attempt you could try using h2o's group_by method. please this link for a few examples of using group by in h2o python: docs.h2o.ai/h2o/latest-stable/h2o-docs/data-munging/….

          – Lauren
          Nov 16 '18 at 20:17





          as a first quick attempt you could try using h2o's group_by method. please this link for a few examples of using group by in h2o python: docs.h2o.ai/h2o/latest-stable/h2o-docs/data-munging/….

          – Lauren
          Nov 16 '18 at 20:17













          I ended up using only spark because for me the h2o group_by seems to be very limited to those built-in operations.

          – Eduardo Reis
          Nov 20 '18 at 22:48







          I ended up using only spark because for me the h2o group_by seems to be very limited to those built-in operations.

          – Eduardo Reis
          Nov 20 '18 at 22:48






















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