Icon

kn_​example_​python_​version_​check

KNIME/Python check versions of packages and system

KNIME/Python check versions of packages and system


KNIME/Python check versions of packages and system from pandas import DataFrameimport pandas as pdimport numpy as npimport pyarrowimport h2ovar_py_version = repr(sys.version_info)var_py_version_pandas = pd.__version__var_py_version_numpy = np.__version__var_py_version_pyarrow = pyarrow.__version__var_py_version_h2o = h2o.__version__# Create empty table# ------ store Python package versions in KNIME flow variablesflow_variables['var_py_version'] = var_py_versionflow_variables['var_py_version_pandas'] =var_py_version_pandasflow_variables['var_py_version_numpy'] =var_py_version_numpyflow_variables['var_py_version_pyarrow'] =var_py_version_pyarrowflow_variables['var_py_version_h2o'] = h2o.__version__output_table = pd.DataFrame( { "var_py_version" : [var_py_version],"var_py_version_pandas" : [var_py_version_pandas],"var_py_version_numpy" : [var_py_version_numpy],"var_py_version_pyarrow" : [var_py_version_pyarrow], "var_py_version_h2o" : [var_py_version_h2o] } ) # show all python packages in the bundled Python version of KNIMEimport knime.scripting.io as knioimport pandas as pdimport pip from pkg_resources import working_setinstalled_packages = [(i.project_name, i.version) for i in working_set]df = pd.DataFrame(installed_packages, columns=["Package_Name", "Version"])df = df.sort_values(by=['Package_Name'],ascending=[True], key=lambda x: x.str.lower())# df = df.sort_values(["Package_Name"],ascending=[True])df = df.set_index('Package_Name', drop=False)knio.output_tables[0] = knio.Table.from_pandas(df) KNIME and Python — Setting up and managing Conda environmentshttps://medium.com/p/2ac217792539 py3_knimeexport FlowVariables from KNIME^(?!knime.workspace).*$show packagesexport FlowVariables from KNIME^(?!knime.workspace).*$list all packagesfro the bundled KNIMEPython version Python Source(legacy) Conda EnvironmentPropagation Variable toTable Row Python Script Variable toTable Row Transpose Python Script KNIME/Python check versions of packages and system from pandas import DataFrameimport pandas as pdimport numpy as npimport pyarrowimport h2ovar_py_version = repr(sys.version_info)var_py_version_pandas = pd.__version__var_py_version_numpy = np.__version__var_py_version_pyarrow = pyarrow.__version__var_py_version_h2o = h2o.__version__# Create empty table# ------ store Python package versions in KNIME flow variablesflow_variables['var_py_version'] = var_py_versionflow_variables['var_py_version_pandas'] =var_py_version_pandasflow_variables['var_py_version_numpy'] =var_py_version_numpyflow_variables['var_py_version_pyarrow'] =var_py_version_pyarrowflow_variables['var_py_version_h2o'] = h2o.__version__output_table = pd.DataFrame( { "var_py_version" : [var_py_version],"var_py_version_pandas" : [var_py_version_pandas],"var_py_version_numpy" : [var_py_version_numpy],"var_py_version_pyarrow" : [var_py_version_pyarrow], "var_py_version_h2o" : [var_py_version_h2o] } ) # show all python packages in the bundled Python version of KNIMEimport knime.scripting.io as knioimport pandas as pdimport pip from pkg_resources import working_setinstalled_packages = [(i.project_name, i.version) for i in working_set]df = pd.DataFrame(installed_packages, columns=["Package_Name", "Version"])df = df.sort_values(by=['Package_Name'],ascending=[True], key=lambda x: x.str.lower())# df = df.sort_values(["Package_Name"],ascending=[True])df = df.set_index('Package_Name', drop=False)knio.output_tables[0] = knio.Table.from_pandas(df) KNIME and Python — Setting up and managing Conda environmentshttps://medium.com/p/2ac217792539 py3_knimeexport FlowVariables from KNIME^(?!knime.workspace).*$show packagesexport FlowVariables from KNIME^(?!knime.workspace).*$list all packagesfro the bundled KNIMEPython version Python Source(legacy) Conda EnvironmentPropagation Variable toTable Row Python Script Variable toTable Row Transpose Python Script

Nodes

Extensions

Links

Download

To use this workflow in KNIME, download it from the below URL and open it in KNIME:

Download Workflow
Created by: A9699459
Created at: 2021-11-09
On NodePit since: 2021-11-09
Last update: 2024-05-04
Created with KNIME version: v4.7.0
Tags: knimepythonpandasnumpyversioncheck

Deploy, schedule, execute, and monitor your KNIME workflows locally, in the cloud or on-premises – with our brand new NodePit Runner.

Try NodePit Runner!