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Cannot visualize the customer demographics and trading activity data with Db2 datasource #33
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What version of JPype is being used? This error looks like what happens when a dependency is missing (so it can't find the jar) with version 0.7.x or earlier and a JPackage automatically assumed that For the user, make sure that you have all the required jars. For the developer, consider upgrading to JPype 1.2.x series and using the import system rather than JPackage. It would have detected the missing dependency and then reported a more specific error. |
I made this updates :
# NOTE: if you do have to perform one or more of these installs, you MUST
restart the kernel
#!pip install --user pyspark==2.3.2
#!pip install --user py4j==0.10.7
#!pip install --user ibm-watson-machine-learning==1.0.44
#!pip install --user brunel==2.6.2
#!pip install --user JPype1==1.2.1
#!pip install --user PyPI==2.1
I restarted the kernel and now I have no error but output is empty, why?
Le lun. 25 janv. 2021 à 19:10, Karl Nelson <[email protected]> a
écrit :
… What version of JPype is being used? This error looks like what happens
when a dependency is missing (so it can't find the jar) with version 0.7.x
or earlier and a JPackage automatically assumed that getDatasetNames is a
package as a result.
For the user, make sure that you have all the required jars.
For the developer, consider upgrading to JPype 1.2.x series and using the
import system rather than JPackage. It would have detected the missing
dependency and then reported a more specific error.
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Sorry cant help beyond fixing the source if the error message. |
#############
Db2 Connection and Dataset data_df_1 then df_churn_pd = data_df_1
##############
use "Insert to code" and "pandas DataFrame"
to import the input data into the notebook.
Add asset from file system# @hidden_cell
from project_lib import Project
project = Project.access()
Db2Wh_5nodes_metadata = project.get_connection(name="Db2Wh-5nodes")
import os, jaydebeapi, pandas as pd
Db2Wh_5nodes_url = 'jdbc:db2://{}:{}/{}'.format(
Db2Wh_5nodes_metadata['host'],
Db2Wh_5nodes_metadata.get('port', 50000),
Db2Wh_5nodes_metadata['database']
)
Db2Wh_5nodes_connection = jaydebeapi.connect(
'com.ibm.db2.jcc.DB2Driver',
Db2Wh_5nodes_url,
[Db2Wh_5nodes_metadata['xxxxx'],Db2Wh_5nodes_metadata['yyyyy']]
)
query = 'SELECT * FROM "CHURN"."MERGED_CUSTOMERS"'
data_df_1 = pd.read_sql_query(query, con=Db2Wh_5nodes_connection)
data_df_1.head()
##########################
Error Step 3
TypeError Traceback (most recent call last)
in
----> 1 get_ipython().run_line_magic('brunel', "data('df_churn_pd') stack polar bar x(CHURNRISK) y(#count) color(CHURNRISK) bar tooltip(#all) :: width=300, height=300")
/opt/conda/envs/Python-3.7-main/lib/python3.7/site-packages/IPython/core/interactiveshell.py in run_line_magic(self, magic_name, line, _stack_depth)
2315 kwargs['local_ns'] = sys._getframe(stack_depth).f_locals
2316 with self.builtin_trap:
-> 2317 result = fn(*args, **kwargs)
2318 return result
2319
in brunel(self, line, cell)
/opt/conda/envs/Python-3.7-main/lib/python3.7/site-packages/IPython/core/magic.py in (f, *a, **k)
185 # but it's overkill for just that one bit of state.
186 def magic_deco(arg):
--> 187 call = lambda f, *a, **k: f(*a, **k)
188
189 if callable(arg):
~/.local/lib/python3.7/site-packages/brunel/magics.py in brunel(self, line, cell)
43 parts = line.split('::')
44 action = parts[0].strip()
---> 45 datasets_in_brunel = brunel.get_dataset_names(action)
46 self.cache_data(datasets_in_brunel,datas)
47 if len(parts) > 2:
~/.local/lib/python3.7/site-packages/brunel/brunel.py in get_dataset_names(brunel_src)
92
93 def get_dataset_names(brunel_src):
---> 94 return brunel_util_java.D3Integration.getDatasetNames(brunel_src)
95
96 def cacheData(data_key, data):
~/.local/lib/python3.7/site-packages/jpype/_jpackage.py in call(self, *arg, **kwarg)
54
55 def call(self, *arg, **kwarg):
---> 56 raise TypeError("Package {0} is not Callable".format(self.__name))
TypeError: Package org.brunel.util.D3Integration.getDatasetNames is not Callable
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