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Schema transform #79
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rolyp
changed the title
Use column type inferred by ptype
Correct column type inference
Sep 23, 2020
fixed some of the items above in #99 |
Summary: Part 1 (solve data cleaning problem without Ptype):
Part 2 (how Ptype makes this problem easier):
|
rolyp
changed the title
Schema transform
Transform dataframe according to inferred schema
Oct 7, 2020
rolyp
changed the title
Transform dataframe according to inferred schema
Schema transform
Oct 7, 2020
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See notebook. To do:
lm.fit
Done/dropped:
pd.na
maybe duplication between Part 2 and Part 1 isn’t necessary – maybe present Ptype usage within a larger scenario?transform_schema
– see Move cols property to Schema object #118show_schema
should be a method on schema object– see Use Pandas names for Pandas datatypes #117Ptype
should describe inferred type asInt64
, notinteger
df.loc[130]
, point out that it’s not obvious where the problem is in the datasetmean_absolute_error
build_table_schema
, why not just showdtypes
again?dtype=’str’
stepscatter_plot
helperThe text was updated successfully, but these errors were encountered: