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Fixed issue with pandas reader
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docs/source/pydatastructs_urban_dictionary_example.ipynb

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@@ -37,21 +37,12 @@
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"execution_count": 9,
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"metadata": {},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"C:\\Users\\fam\\AppData\\Local\\Temp\\ipykernel_7024\\982205164.py:2: DtypeWarning: Columns (3,7,8,9,10,11) have mixed types. Specify dtype option on import or set low_memory=False.\n",
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" df: DataFrame = pd.read_csv(\"urbandict-word-defs.csv\")\n"
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]
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}
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],
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"outputs": [],
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"source": [
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"# Load dataset\n",
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"df: DataFrame = pd.read_csv(\"urbandict-word-defs.csv\")"
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"df: DataFrame = pd.read_csv(\"urbandict-word-defs.csv\", low_memory=False)"
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]
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},
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{

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