alexander/ames-housing
1
0
Fork 0
Code Issues Pull requests Releases Activity

Rename the utilities module

Browse source
This commit is contained in:
Alexander Hess 2018-08-29 13:47:34 +02:00
parent 441f121350
commit 56a0ac29a2
2 changed files with 4 additions and 4 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

8
1_data_cleaning.ipynb
View file

@ -30,7 +30,7 @@
"name": "stdout", "name": "stdout",
"output_type": "stream", "output_type": "stream",
"text": [ "text": [
"2018-08-29 11:19:59 CEST\n", "2018-08-29 13:46:44 CEST\n",
"\n", "\n",
"CPython 3.6.5\n", "CPython 3.6.5\n",
"IPython 6.5.0\n", "IPython 6.5.0\n",
@ -68,7 +68,7 @@
"cell_type": "markdown", "cell_type": "markdown",
"metadata": {}, "metadata": {},
"source": [ "source": [
"The *cleaning_utils.py* module defines helper dictionaries and lists that help with parsing the data types correctly, look up column descriptions, and refer to groups of data columns.\n", "The *utils.py* module defines helper dictionaries and lists that help with parsing the data types correctly, look up column descriptions, and refer to groups of data columns.\n",
"\n", "\n",
"**Note:** the suffix \\_*COLUMNS* indicates a dictionary with all meta information on the provided data file and \\_*VARIABLES* a list with only the column names (i.e., the keys of the respective \\_*COLUMNS* dictionary)." "**Note:** the suffix \\_*COLUMNS* indicates a dictionary with all meta information on the provided data file and \\_*VARIABLES* a list with only the column names (i.e., the keys of the respective \\_*COLUMNS* dictionary)."
] ]
@ -79,7 +79,7 @@
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
"from cleaning_utils import (\n", "from utils import (\n",
" ALL_COLUMNS,\n", " ALL_COLUMNS,\n",
" ALL_VARIABLES,\n", " ALL_VARIABLES,\n",
" LABEL_COLUMNS, # groups nominal and ordinal\n", " LABEL_COLUMNS, # groups nominal and ordinal\n",
@ -139,7 +139,7 @@
"\n", "\n",
"**Note 1:** the data come with a lot of \"NA\" text strings that do **not** indicate missing data but, for example, the absence of a basement or a parking lot (see the linked data description).\n", "**Note 1:** the data come with a lot of \"NA\" text strings that do **not** indicate missing data but, for example, the absence of a basement or a parking lot (see the linked data description).\n",
"\n", "\n",
"**Note 2:** the mappings from column names to data types are encoded in the \"cleaning_utils.py\" module that defines the aforementioned helper dictionaries / lists.\n", "**Note 2:** the mappings from column names to data types are encoded in the \"utils.py\" module that defines the aforementioned helper dictionaries / lists.\n",
"\n", "\n",
"**Note 3:** the Excel file with all the data is either loaded from the local dictionary (= \"cache\") or obtained fresh from the source." "**Note 3:** the Excel file with all the data is either loaded from the local dictionary (= \"cache\") or obtained fresh from the source."
] ]

0
cleaning_utils.py → utils.py
View file