Hi Paul, this sounds very strange indeed.
Please make sure you are using latest master and to get correct interpreters classnames - it should be enough to delete /conf/interpreter-settings.json and restart Zeppelin - it will be re-created. Regarding dependencies for to run %python.sql (it's implementation is PythonInterpreterPandasSql), please refer [1] and make sure pre-requests are installed on your system's Python (or the one that is configured to use through interpreter settings UI) If nothing helps, please feel free to file a Jira issue with description on how the error can be reproduced and I will be happy to help you and look more into it! 1. https://github.com/apache/zeppelin/blob/master/docs/interpreter/python.md#sql-over-pandas-dataframes -- Alex On Tue, Jul 26, 2016, 09:44 Paul Bustios Belizario <pbust...@gmail.com> wrote: > Hi Alexander, > > Yes. I knew that, but for some reason, that I'm still investigating, > z.show() doesn't display the dataframe in my notebook. That's why I decided > to not incorporate z.show() yet. As soon as I find the problem I will add > it. > > Regarding to pandasql, there is an error creating the interpreter: > > java.lang.ClassNotFoundException: > org.apache.zeppelin.python.PythonPandasSqlInterpreter > > I couldn't found PythonPandasSqlInterpreter class, I only found > PythonInterpreterPandasSql.java in the latest version of the code. Is there > anything more I need to do to have ready this interpreter? Do I have to > change the class name of the interpreter in the interpreter-setting.json? > > Regards, > Paul > > On Sun, Jul 24, 2016 at 11:44 PM Alexander Bezzubov <b...@apache.org> > wrote: > > > Thanks for sharing your progress Paul, the notebook looks great! > > > > By the way, did you know that in latest Apache Zeppelin instead of > > ``` > > print(titanic.head()) > > ``` > > one can use > > > > ``` > > z.show(titanic) > > ``` > > ? > > > > It would be a good opportunity to showcase this [1] and other features of > > the Python interpreter like recent SQL over PandasDataframe with built-in > > visualizations for easy exploratory analysis [2] thought this work, how > do > > you think? > > > > 1. > > > > > http://zeppelin.apache.org/docs/0.6.0/interpreter/python.html#pandas-integration > > 2. > > > > > https://github.com/apache/zeppelin/blob/master/docs/interpreter/python.md#sql-over-pandas-dataframes > > -- > > Alex > > > > On Sat, Jul 23, 2016, 12:54 Paul Bustios Belizario <pbust...@gmail.com> > > wrote: > > > > > Thanks Moon, > > > > > > Here is my third notebook using the Titanic dataset: > > > > > > > > > > > > https://www.zeppelinhub.com/viewer/notebooks/bm90ZTovL2J1c3Rpb3MvbG9jYWwvYmI0Y2EwNjVkMTI1NDY2Y2EzNTIzNThiZjViYzIxOWQvbm90ZS5qc29u > > > > > > Now, I'm working on the fourth notebook and updating my first notebook > to > > > use z.show() > > > > > > Regards, > > > Paul > > > > > > On Sat, Jul 16, 2016 at 7:42 PM moon soo Lee <m...@apache.org> wrote: > > > > > > > Hi Paul, > > > > > > > > That would be very interesting! > > > > And like you mentioned, it's dataset that for starters. I think it's > > > super > > > > reasonable to have a notebooks with those data. > > > > > > > > Thanks, > > > > moon > > > > > > > > On Sat, Jul 9, 2016 at 11:09 AM Paul Bustios Belizario < > > > pbust...@gmail.com > > > > > > > > > wrote: > > > > > > > > > Hi community, > > > > > > > > > > I was searching some databases and chose [1,2] for the next > > notebooks. > > > > > These databases are not big, but are classic and educational for > > people > > > > who > > > > > are starting the path of data science. Additionally, through the > > > process > > > > of > > > > > machine learning, these databases can provide many graphics. > > > > > > > > > > What do you think? > > > > > > > > > > Regards, > > > > > Paul > > > > > > > > > > [1] https://www.kaggle.com/c/titanic > > > > > [2] https://www.kaggle.com/c/digit-recognizer > > > > > > > > > > > > > > >
