From 4f6f807e3c7fd957d77f2bde00365ddc91ee154a Mon Sep 17 00:00:00 2001
From: Aniruddh <amalankia@mail.sfsu.edu>
Date: Wed, 2 Jul 2025 17:36:35 -0700
Subject: [PATCH] PANDAS1 DONE

---
 .DS_Store                 | Bin 0 -> 6148 bytes
 big_countries.ipynb       |  21 +++++++++++++++++++++
 customersneverorder.ipynb |  21 +++++++++++++++++++++
 dataframe.ipynb           |  26 ++++++++++++++++++++++++++
 recylable lowfat.ipynb    |  21 +++++++++++++++++++++
 5 files changed, 89 insertions(+)
 create mode 100644 .DS_Store
 create mode 100644 big_countries.ipynb
 create mode 100644 customersneverorder.ipynb
 create mode 100644 dataframe.ipynb
 create mode 100644 recylable lowfat.ipynb

diff --git a/.DS_Store b/.DS_Store
new file mode 100644
index 0000000000000000000000000000000000000000..c1b723920ca26501e899f2791aec30be7cfc506f
GIT binary patch
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literal 0
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diff --git a/big_countries.ipynb b/big_countries.ipynb
new file mode 100644
index 0000000..b8fec01
--- /dev/null
+++ b/big_countries.ipynb
@@ -0,0 +1,21 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c3df2908",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "\n",
+    "# Assume 'world' DataFrame is already defined\n",
+    "big_countries = world[(world['area'] >= 300000) | (world['population'] >= 25000000)][['name', 'population', 'area']]\n",
+    "big_countries\n"
+   ]
+  }
+ ],
+ "metadata": {},
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/customersneverorder.ipynb b/customersneverorder.ipynb
new file mode 100644
index 0000000..5b5e0b7
--- /dev/null
+++ b/customersneverorder.ipynb
@@ -0,0 +1,21 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f81924e7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "\n",
+    "# Assume 'Customers' and 'Orders' DataFrames are already defined\n",
+    "result = Customers[~Customers['id'].isin(Orders['customerId'])][['name']]\n",
+    "result\n"
+   ]
+  }
+ ],
+ "metadata": {},
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/dataframe.ipynb b/dataframe.ipynb
new file mode 100644
index 0000000..6d8ad3d
--- /dev/null
+++ b/dataframe.ipynb
@@ -0,0 +1,26 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "baede9fb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# import pandas as pd \n",
+    "import pandas as pd  \n",
+    "\n",
+    "# List1  \n",
+    "lst = [['Geek', 25], ['is', 30], \n",
+    "       ['for', 26], ['Geeksforgeeks', 22]] \n",
+    "\n",
+    "# creating df object with columns specified    \n",
+    "df = pd.DataFrame(lst, columns =['Tag', 'number']) \n",
+    "print(df )"
+   ]
+  }
+ ],
+ "metadata": {},
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/recylable lowfat.ipynb b/recylable lowfat.ipynb
new file mode 100644
index 0000000..28a7a45
--- /dev/null
+++ b/recylable lowfat.ipynb	
@@ -0,0 +1,21 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1a96a26c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "\n",
+    "# Assume 'products' DataFrame is already defined\n",
+    "result = products[(products['low_fats'] == 'Y') & (products['recyclable'] == 'Y')]\n",
+    "result\n"
+   ]
+  }
+ ],
+ "metadata": {},
+ "nbformat": 4,
+ "nbformat_minor": 5
+}