Add INDEX_COLUMNS constant for more readablility
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2 changed files with 11 additions and 9 deletions
11
utils.py
11
utils.py
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@ -2,8 +2,8 @@
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This module uses the information available on the publication homepage and
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defines a nested dictionary `ALL_COLUMNS` that can be used to decode the data
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in the accompanying AmesHousing.xls file in the data folder. For convenience,
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`ALL_VARIABLES` provides a list of only the column names.
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in the accompanying Excel file. For convenience, `ALL_VARIABLES` provides a
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list of only the column names.
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Furthermore, six helper dictionaries `CONTINUOUS_COLUMNS`, `DISCRETE_COLUMNS`,
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`NUMERIC_COLUMNS`, `NOMINAL_COLUMNS`, `ORDINAL_COLUMNS`, and `LABEL_COLUMNS`
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@ -14,8 +14,8 @@ ordinal columns. For each of the six dictionaries, a list of the actual column
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names is created with the same name and the suffix "_VARIABLES" instead of
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"_COLUMNS", e.g., "CONTINUOUS_VARIABLES" instead of "CONTINUOUS_COLUMNS".
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Lastly, the LABEL_TYPES list can be used to quickly check types in a readable
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way.
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Lastly, the INDEX_COLUMNS and LABEL_TYPES list can be used to refer to the
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actual values in a more readable way.
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Source:
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https://www.amstat.org/publications/jse/v19n3/decock/DataDocumentation.txt
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@ -31,6 +31,7 @@ import re
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import requests
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INDEX_COLUMNS = ["Order", "PID"]
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LABEL_TYPES = ["nominal", "ordinal"]
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# Note that these dictionaries and lists are not actually constants but
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# filled in during import time which makes them "near"-constant.
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@ -98,7 +99,7 @@ def _extract_meta_data(lines):
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# The two ID columns and the target variable "SalePrice"
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# are not put into the helper dicts / lists as they are
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# treated seperately in the modelling anyways.
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non_feature_columns = ["Order", "PID", "SalePrice"]
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non_feature_columns = INDEX_COLUMNS + ["SalePrice"]
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for line in lines:
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# Process the next variable in the list.
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