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Please check and see what I'm doing wrong. It keeps saying I need to define things that I thought were defined?

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This commit is contained in:
Heather
2025-11-11 16:02:59 -05:00
parent a3ee361132
commit 69e076978f
2 changed files with 40 additions and 28 deletions
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34
.ipynb_checkpoints/argument-checkpoint.ipynb
View File

@@ -96,7 +96,7 @@
"\n",
"# Load the dataset\n",
"def pandas(pd):\n",
" file_path = pd.read_csv(\"Fast_Food_Dataset/nutrition.csv\") \n",
" df = pd.read_csv('Fast_Food_Dataset/nutrition.csv')\n",
"\n",
" \n",
"\n",
@@ -106,14 +106,17 @@
},
{
"cell_type": "code",
"execution_count": 3,
"execution_count": 6,
"id": "heated-blade",
"metadata": {},
"outputs": [],
"source": [
"#check first 15 rows\n",
"def data (read_csv):\n",
" data.head(15)"
" data.head(15)\n",
"\n",
"\n",
"\n"
]
},
{
@@ -195,14 +198,18 @@
},
{
"cell_type": "code",
"execution_count": 11,
"execution_count": 8,
"id": "negative-highlight",
"metadata": {},
"outputs": [],
"source": [
"#######################################################################\n",
"def file_path():\n",
" file_path = pd.read_csv(\"Fast_Food_Dataset/nutrition.csv\") \n",
"\n",
"# Calculate calories from fat (assuming fat column is in grams)\n",
"# Formula: fat_grams * 9 calories per gram\n",
"def first_15():\n",
" first_15['fat_calories']= first_15['fat'] * 9\n",
"\n",
"### \n",
"### Your data analysis may include a statistic and/or a data visualization\n",
"#######################################################################"
@@ -210,24 +217,23 @@
},
{
"cell_type": "code",
"execution_count": 14,
"execution_count": 16,
"id": "victorian-burning",
"metadata": {},
"outputs": [
{
"ename": "NameError",
"evalue": "name 'pd' is not defined",
"ename": "SyntaxError",
"evalue": "invalid syntax (2142274504.py, line 2)",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
"Cell \u001b[0;32mIn[14], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m file_path \u001b[38;5;241m=\u001b[39m \u001b[43mpd\u001b[49m\u001b[38;5;241m.\u001b[39mread_csv(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mFast_Food_Dataset/nutrition.csv\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n",
"\u001b[0;31mNameError\u001b[0m: name 'pd' is not defined"
"\u001b[0;36m Cell \u001b[0;32mIn[16], line 2\u001b[0;36m\u001b[0m\n\u001b[0;31m def first_15('item', 'fat', 'fat_calories', 'calories'):\u001b[0m\n\u001b[0m ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid syntax\n"
]
}
],
"source": [
"file_path = pd.read_csv(\"Fast_Food_Dataset/nutrition.csv\")"
"# Display relevant columns\n",
"def first_15('item', 'fat', 'fat_calories', 'calories'):\n",
" return first_15"
]
},
{

34
argument.ipynb
View File

@@ -96,7 +96,7 @@
"\n",
"# Load the dataset\n",
"def pandas(pd):\n",
" file_path = pd.read_csv(\"Fast_Food_Dataset/nutrition.csv\") \n",
" df = pd.read_csv('Fast_Food_Dataset/nutrition.csv')\n",
"\n",
" \n",
"\n",
@@ -106,14 +106,17 @@
},
{
"cell_type": "code",
"execution_count": 3,
"execution_count": 6,
"id": "heated-blade",
"metadata": {},
"outputs": [],
"source": [
"#check first 15 rows\n",
"def data (read_csv):\n",
" data.head(15)"
" data.head(15)\n",
"\n",
"\n",
"\n"
]
},
{
@@ -195,14 +198,18 @@
},
{
"cell_type": "code",
"execution_count": 11,
"execution_count": 8,
"id": "negative-highlight",
"metadata": {},
"outputs": [],
"source": [
"#######################################################################\n",
"def file_path():\n",
" file_path = pd.read_csv(\"Fast_Food_Dataset/nutrition.csv\") \n",
"\n",
"# Calculate calories from fat (assuming fat column is in grams)\n",
"# Formula: fat_grams * 9 calories per gram\n",
"def first_15():\n",
" first_15['fat_calories']= first_15['fat'] * 9\n",
"\n",
"### \n",
"### Your data analysis may include a statistic and/or a data visualization\n",
"#######################################################################"
@@ -210,24 +217,23 @@
},
{
"cell_type": "code",
"execution_count": 14,
"execution_count": 16,
"id": "victorian-burning",
"metadata": {},
"outputs": [
{
"ename": "NameError",
"evalue": "name 'pd' is not defined",
"ename": "SyntaxError",
"evalue": "invalid syntax (2142274504.py, line 2)",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
"Cell \u001b[0;32mIn[14], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m file_path \u001b[38;5;241m=\u001b[39m \u001b[43mpd\u001b[49m\u001b[38;5;241m.\u001b[39mread_csv(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mFast_Food_Dataset/nutrition.csv\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n",
"\u001b[0;31mNameError\u001b[0m: name 'pd' is not defined"
"\u001b[0;36m Cell \u001b[0;32mIn[16], line 2\u001b[0;36m\u001b[0m\n\u001b[0;31m def first_15('item', 'fat', 'fat_calories', 'calories'):\u001b[0m\n\u001b[0m ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid syntax\n"
]
}
],
"source": [
"file_path = pd.read_csv(\"Fast_Food_Dataset/nutrition.csv\")"
"# Display relevant columns\n",
"def first_15('item', 'fat', 'fat_calories', 'calories'):\n",
" return first_15"
]
},
{