From a33603ca91ed174ddc51f1a825b6e81547ee022a Mon Sep 17 00:00:00 2001 From: frankknoll Date: Sun, 6 Feb 2022 12:13:54 +0100 Subject: [PATCH] refactoring --- HowBadIsMyBatch.ipynb | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/HowBadIsMyBatch.ipynb b/HowBadIsMyBatch.ipynb index 2428b05e0b9..47f8c2a3978 100644 --- a/HowBadIsMyBatch.ipynb +++ b/HowBadIsMyBatch.ipynb @@ -21,12 +21,12 @@ "metadata": {}, "outputs": [], "source": [ - "class DataFrameConverter:\n", + "class DataFrameNormalizer:\n", " \n", " @staticmethod\n", " def convertColumnsOfDataFrameToNumerics(dataFrame, columns):\n", " for column in columns:\n", - " DataFrameConverter._convertColumnOfDataFrameToNumeric(dataFrame, column)\n", + " DataFrameNormalizer._convertColumnOfDataFrameToNumeric(dataFrame, column)\n", "\n", " @staticmethod\n", " def _convertColumnOfDataFrameToNumeric(dataFrame, column):\n", @@ -67,7 +67,7 @@ " usecols = ['VAERS_ID', 'RECVDATE', 'DIED', 'L_THREAT', 'DISABLE', 'HOSPITAL', 'ER_VISIT'],\n", " parse_dates = ['RECVDATE'],\n", " date_parser = lambda dateStr: pd.to_datetime(dateStr, format = \"%m/%d/%Y\"))\n", - " DataFrameConverter.convertColumnsOfDataFrameToNumerics(\n", + " DataFrameNormalizer.convertColumnsOfDataFrameToNumerics(\n", " VAERSDATA,\n", " ['DIED', 'L_THREAT', 'DISABLE', 'HOSPITAL', 'ER_VISIT'])\n", " return VAERSDATA\n",