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microsoft / jupyter-Kqlmagic

Extension (Magic) to Jupyter notebook and Jupyter lab, that enable notebook experience working with Kusto, ApplicationInsights, and LogAnalytics data.
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ImportError: this version of pandas is incompatible with numpy < 1.12.0 on databricks cluster python 3 #45

Closed cosh closed 4 years ago

cosh commented 5 years ago

I used Kqlmagic 0.1.106.post2 with and Azure Databricks 5.5 cluster (python 3)

`ImportError: this version of pandas is incompatible with numpy < 1.12.0

ImportError Traceback (most recent call last)

in () ----> 1 get_ipython().magic('reload_ext Kqlmagic') /databricks/python/lib/python3.5/site-packages/IPython/core/interactiveshell.py in magic(self, arg_s) 2203 Out[2]: ('x.l', ['x.ljust', 'x.lower', 'x.lstrip']) 2204 """ -> 2205 2206 # Inject names into __builtin__ so we can complete on the added names. 2207 with self.builtin_trap: /databricks/python/lib/python3.5/site-packages/IPython/core/interactiveshell.py in run_line_magic(self, magic_name, line) 2124 2125 def _indent_current_str(self): -> 2126 """return the current level of indentation as a string""" 2127 return self.input_splitter.get_indent_spaces() * ' ' 2128 in reload_ext(self, module_str) `
mbnshtck commented 5 years ago

custom magics are not supported in databricks notebooks. However, you can use instead the jupyter notebooks environment with a connector to databricks

Michael

From: Henning Rauch notifications@github.com Sent: Monday, September 30, 2019 5:05:51 PM To: microsoft/jupyter-Kqlmagic jupyter-Kqlmagic@noreply.github.com Cc: Subscribed subscribed@noreply.github.com Subject: [microsoft/jupyter-Kqlmagic] ImportError: this version of pandas is incompatible with numpy < 1.12.0 on databricks cluster python 3 (#45)

I used Kqlmagic 0.1.106.post2 with and Azure Databricks 5.5 cluster (python 3)

`ImportError: this version of pandas is incompatible with numpy < 1.12.0

ImportError Traceback (most recent call last) in () ----> 1 get_ipython().magic('reload_ext Kqlmagic')

/databricks/python/lib/python3.5/site-packages/IPython/core/interactiveshell.py in magic(self, arg_s) 2203 Out[2]: ('x.l', ['x.ljust', 'x.lower', 'x.lstrip']) 2204 """ -> 2205 2206 # Inject names into builtin so we can complete on the added names. 2207 with self.builtin_trap:

/databricks/python/lib/python3.5/site-packages/IPython/core/interactiveshell.py in run_line_magic(self, magic_name, line) 2124 2125 def _indent_current_str(self): -> 2126 """return the current level of indentation as a string""" 2127 return self.input_splitter.get_indent_spaces() * ' ' 2128

in reload_ext(self, module_str) `

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