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DSLituiev/pandas_df_ds_bug_on_subset.py

Last active June 22, 2017 18:10
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pandas_df_ds_bug_on_subset.py
import pandas as pd
all_cols = ['0_AnatomicRegionSequence_CodeMeaning',
'0_AnatomicRegionSequence_CodeValue',
'0_AnatomicRegionSequence_CodingSchemeDesignator',
'0_ContributingEquipmentSequence_ContributionDateTime',
'0_ContributingEquipmentSequence_ContributionDescription',
'0_ContributingEquipmentSequence_InstitutionName',
'0_ContributingEquipmentSequence_Manufacturer',
'0_ContributingEquipmentSequence_StationName',
'0_ContributingEquipmentSequence__0_PurposeOfReferenceCodeSequence_CodeMeaning',
'0_ContributingEquipmentSequence__0_PurposeOfReferenceCodeSequence_CodeValue']
informative_cols = ['0_AnatomicRegionSequence_CodeMeaning',
'0_AnatomicRegionSequence_CodeValue',
'0_AnatomicRegionSequence_CodingSchemeDesignator',
'0_AnatomicRegionSequence_CodeMeaning',
'0_AnatomicRegionSequence_CodeValue',
'0_AnatomicRegionSequence_CodingSchemeDesignator']
dfrandom = pd.DataFrame(np.random.rand(5, len(all_cols)), columns=all_cols)
field = informative_cols[0]
print(field)
print(type(dfrandom[field]))
print(type(dfrandom.copy()[informative_cols][field]))
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