diff --git a/your-code/pandas_1.ipynb b/your-code/pandas_1.ipynb
index 4f428ac..e625c22 100644
--- a/your-code/pandas_1.ipynb
+++ b/your-code/pandas_1.ipynb
@@ -18,7 +18,7 @@
},
{
"cell_type": "code",
- "execution_count": 1,
+ "execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
@@ -35,7 +35,7 @@
},
{
"cell_type": "code",
- "execution_count": 2,
+ "execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
@@ -44,10 +44,31 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 6,
"metadata": {},
- "outputs": [],
- "source": []
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "0 5.7\n",
+ "1 75.2\n",
+ "2 74.4\n",
+ "3 84.0\n",
+ "4 66.5\n",
+ "5 66.3\n",
+ "6 55.8\n",
+ "7 75.7\n",
+ "8 29.1\n",
+ "9 43.7\n",
+ "dtype: float64\n"
+ ]
+ }
+ ],
+ "source": [
+ "series_lst = pd.Series(lst)\n",
+ "print(series_lst)"
+ ]
},
{
"cell_type": "markdown",
@@ -60,10 +81,23 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 10,
"metadata": {},
- "outputs": [],
- "source": []
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "74.4"
+ ]
+ },
+ "execution_count": 10,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "series_lst.values[2]"
+ ]
},
{
"cell_type": "markdown",
@@ -74,7 +108,7 @@
},
{
"cell_type": "code",
- "execution_count": 3,
+ "execution_count": 12,
"metadata": {},
"outputs": [],
"source": [
@@ -92,10 +126,31 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 14,
"metadata": {},
- "outputs": [],
- "source": []
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ " 0 1 2 3 4\n",
+ "0 53.1 95.0 67.5 35.0 78.4\n",
+ "1 61.3 40.8 30.8 37.8 87.6\n",
+ "2 20.6 73.2 44.2 14.6 91.8\n",
+ "3 57.4 0.1 96.1 4.2 69.5\n",
+ "4 83.6 20.5 85.4 22.8 35.9\n",
+ "5 49.0 69.0 0.1 31.8 89.1\n",
+ "6 23.3 40.7 95.0 83.8 26.9\n",
+ "7 27.6 26.4 53.8 88.8 68.5\n",
+ "8 96.6 96.4 53.4 72.4 50.1\n",
+ "9 73.7 39.0 43.2 81.6 34.7\n"
+ ]
+ }
+ ],
+ "source": [
+ "df_b = pd.DataFrame(b)\n",
+ "print(df_b)"
+ ]
},
{
"cell_type": "markdown",
@@ -106,7 +161,7 @@
},
{
"cell_type": "code",
- "execution_count": 4,
+ "execution_count": 15,
"metadata": {},
"outputs": [],
"source": [
@@ -124,7 +179,7 @@
},
{
"cell_type": "code",
- "execution_count": 5,
+ "execution_count": 16,
"metadata": {},
"outputs": [],
"source": [
@@ -133,10 +188,31 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 40,
"metadata": {},
- "outputs": [],
- "source": []
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ " Score_1 Score_2 Score_3 Score_4 Score_5\n",
+ "0 53.1 95.0 67.5 35.0 78.4\n",
+ "1 61.3 40.8 30.8 37.8 87.6\n",
+ "2 20.6 73.2 44.2 14.6 91.8\n",
+ "3 57.4 0.1 96.1 4.2 69.5\n",
+ "4 83.6 20.5 85.4 22.8 35.9\n",
+ "5 49.0 69.0 0.1 31.8 89.1\n",
+ "6 23.3 40.7 95.0 83.8 26.9\n",
+ "7 27.6 26.4 53.8 88.8 68.5\n",
+ "8 96.6 96.4 53.4 72.4 50.1\n",
+ "9 73.7 39.0 43.2 81.6 34.7\n"
+ ]
+ }
+ ],
+ "source": [
+ "df_b1 = df_b.rename(columns = {0: 'Score_1', 1: 'Score_2', 2: 'Score_3', 3: 'Score_4', 4: 'Score_5'})\n",
+ "print(df_b1)"
+ ]
},
{
"cell_type": "markdown",
@@ -147,10 +223,122 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 29,
"metadata": {},
- "outputs": [],
- "source": []
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "
\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " Score_1 | \n",
+ " Score_3 | \n",
+ " Score_5 | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " 0 | \n",
+ " 53.1 | \n",
+ " 67.5 | \n",
+ " 78.4 | \n",
+ "
\n",
+ " \n",
+ " 1 | \n",
+ " 61.3 | \n",
+ " 30.8 | \n",
+ " 87.6 | \n",
+ "
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+ " \n",
+ " 2 | \n",
+ " 20.6 | \n",
+ " 44.2 | \n",
+ " 91.8 | \n",
+ "
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+ " \n",
+ " 3 | \n",
+ " 57.4 | \n",
+ " 96.1 | \n",
+ " 69.5 | \n",
+ "
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+ " \n",
+ " 4 | \n",
+ " 83.6 | \n",
+ " 85.4 | \n",
+ " 35.9 | \n",
+ "
\n",
+ " \n",
+ " 5 | \n",
+ " 49.0 | \n",
+ " 0.1 | \n",
+ " 89.1 | \n",
+ "
\n",
+ " \n",
+ " 6 | \n",
+ " 23.3 | \n",
+ " 95.0 | \n",
+ " 26.9 | \n",
+ "
\n",
+ " \n",
+ " 7 | \n",
+ " 27.6 | \n",
+ " 53.8 | \n",
+ " 68.5 | \n",
+ "
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+ " \n",
+ " 8 | \n",
+ " 96.6 | \n",
+ " 53.4 | \n",
+ " 50.1 | \n",
+ "
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+ " \n",
+ " 9 | \n",
+ " 73.7 | \n",
+ " 43.2 | \n",
+ " 34.7 | \n",
+ "
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+ " \n",
+ "
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+ "
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+ ],
+ "text/plain": [
+ " Score_1 Score_3 Score_5\n",
+ "0 53.1 67.5 78.4\n",
+ "1 61.3 30.8 87.6\n",
+ "2 20.6 44.2 91.8\n",
+ "3 57.4 96.1 69.5\n",
+ "4 83.6 85.4 35.9\n",
+ "5 49.0 0.1 89.1\n",
+ "6 23.3 95.0 26.9\n",
+ "7 27.6 53.8 68.5\n",
+ "8 96.6 53.4 50.1\n",
+ "9 73.7 43.2 34.7"
+ ]
+ },
+ "execution_count": 29,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "df_b1[['Score_1', 'Score_3', 'Score_5']]"
+ ]
},
{
"cell_type": "markdown",
@@ -161,10 +349,26 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 37,
"metadata": {},
- "outputs": [],
- "source": []
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "2 56.95\n",
+ "dtype: float64"
+ ]
+ },
+ "execution_count": 37,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "df_b_score3 = df_b[[2]]\n",
+ "\n",
+ "df_b_score3.mean()"
+ ]
},
{
"cell_type": "markdown",
@@ -175,10 +379,25 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 39,
"metadata": {},
- "outputs": [],
- "source": []
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "3 88.8\n",
+ "dtype: float64"
+ ]
+ },
+ "execution_count": 39,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "df_b_score4 = df_b[[3]]\n",
+ "df_b_score4.max()"
+ ]
},
{
"cell_type": "markdown",
@@ -189,10 +408,46 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 42,
"metadata": {},
- "outputs": [],
- "source": []
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "1 40.75\n",
+ "dtype: float64"
+ ]
+ },
+ "execution_count": 42,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "df_b_score2 = df_b[[1]]\n",
+ "df_b_score2.median()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 44,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "1 40.75\n",
+ "dtype: float64"
+ ]
+ },
+ "execution_count": 44,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "df_b[[1]].median()"
+ ]
},
{
"cell_type": "markdown",
@@ -203,7 +458,7 @@
},
{
"cell_type": "code",
- "execution_count": 6,
+ "execution_count": 45,
"metadata": {},
"outputs": [],
"source": [
@@ -224,10 +479,31 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 47,
"metadata": {},
- "outputs": [],
- "source": []
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ " Description Quantity UnitPrice Revenue\n",
+ "0 LUNCH BAG APPLE DESIGN 1 1.65 1.65\n",
+ "1 SET OF 60 VINTAGE LEAF CAKE CASES 24 0.55 13.20\n",
+ "2 RIBBON REEL STRIPES DESIGN 1 1.65 1.65\n",
+ "3 WORLD WAR 2 GLIDERS ASSTD DESIGNS 2880 0.18 518.40\n",
+ "4 PLAYING CARDS JUBILEE UNION JACK 2 1.25 2.50\n",
+ "5 POPCORN HOLDER 7 0.85 5.95\n",
+ "6 BOX OF VINTAGE ALPHABET BLOCKS 1 11.95 11.95\n",
+ "7 PARTY BUNTING 4 4.95 19.80\n",
+ "8 JAZZ HEARTS ADDRESS BOOK 10 0.19 1.90\n",
+ "9 SET OF 4 SANTA PLACE SETTINGS 48 1.25 60.00\n"
+ ]
+ }
+ ],
+ "source": [
+ "df_orders = pd.DataFrame(orders)\n",
+ "print(df_orders)"
+ ]
},
{
"cell_type": "markdown",
@@ -238,10 +514,27 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 54,
"metadata": {},
- "outputs": [],
- "source": []
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Quantity 2978\n",
+ "dtype: int64\n",
+ "Revenue 637.0\n",
+ "dtype: float64\n"
+ ]
+ }
+ ],
+ "source": [
+ "total_quantity = df_orders[list({'Quantity'})].sum()\n",
+ "print(total_quantity)\n",
+ "\n",
+ "total_revenue = df_orders[list({'Revenue'})].sum()\n",
+ "print(total_revenue)"
+ ]
},
{
"cell_type": "markdown",
@@ -252,10 +545,31 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 68,
"metadata": {},
- "outputs": [],
- "source": []
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "UnitPrice 11.95\n",
+ "dtype: float64\n",
+ "UnitPrice 0.18\n",
+ "dtype: float64\n",
+ "UnitPrice 11.77\n",
+ "dtype: float64\n"
+ ]
+ }
+ ],
+ "source": [
+ "highest_price = df_orders[list({'UnitPrice'})].max()\n",
+ "print(highest_price)\n",
+ "\n",
+ "lowest_price = df_orders[list({'UnitPrice'})].min()\n",
+ "print(lowest_price)\n",
+ "\n",
+ "print(highest_price - lowest_price)"
+ ]
},
{
"cell_type": "markdown",
@@ -266,7 +580,7 @@
},
{
"cell_type": "code",
- "execution_count": 7,
+ "execution_count": 70,
"metadata": {},
"outputs": [],
"source": [
@@ -285,10 +599,130 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 73,
"metadata": {},
- "outputs": [],
- "source": []
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
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+ ],
+ "text/plain": [
+ " Serial No. GRE Score TOEFL Score University Rating SOP LOR CGPA \\\n",
+ "0 1 337 118 4 4.5 4.5 9.65 \n",
+ "1 2 316 104 3 3.0 3.5 8.00 \n",
+ "2 3 322 110 3 3.5 2.5 8.67 \n",
+ "3 4 314 103 2 2.0 3.0 8.21 \n",
+ "4 5 330 115 5 4.5 3.0 9.34 \n",
+ "\n",
+ " Research Chance of Admit \n",
+ "0 1 0.92 \n",
+ "1 1 0.72 \n",
+ "2 1 0.80 \n",
+ "3 0 0.65 \n",
+ "4 1 0.90 "
+ ]
+ },
+ "execution_count": 73,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "admissions.head()"
+ ]
},
{
"cell_type": "markdown",
@@ -299,10 +733,32 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 77,
"metadata": {},
- "outputs": [],
- "source": []
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "Serial No. 0\n",
+ "GRE Score 0\n",
+ "TOEFL Score 0\n",
+ "University Rating 0\n",
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+ "LOR 0\n",
+ "CGPA 0\n",
+ "Research 0\n",
+ "Chance of Admit 0\n",
+ "dtype: int64"
+ ]
+ },
+ "execution_count": 77,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "admissions.isnull().sum()"
+ ]
},
{
"cell_type": "markdown",
@@ -313,10 +769,219 @@
},
{
"cell_type": "code",
- "execution_count": null,
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+ " GRE Score TOEFL Score University Rating SOP LOR CGPA \\\n",
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+ "384 312 103 3 3.5 4.0 8.78 \n",
+ "385 333 117 4 5.0 4.0 9.66 \n",
+ "\n",
+ " Research Chance of Admit \n",
+ "Serial No. \n",
+ "1 1 0.92 \n",
+ "2 1 0.72 \n",
+ "3 1 0.80 \n",
+ "4 0 0.65 \n",
+ "5 1 0.90 \n",
+ "... ... ... \n",
+ "381 1 0.82 \n",
+ "382 1 0.84 \n",
+ "383 1 0.91 \n",
+ "384 0 0.67 \n",
+ "385 1 0.95 \n",
+ "\n",
+ "[385 rows x 8 columns]"
+ ]
+ },
+ "execution_count": 92,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "admissions.set_index('Serial No.') #not running this because I accidentally overwrote admissions already so this no longer works but this is what I did! \n",
+ "admissions"
+ ]
},
{
"cell_type": "code",
@@ -334,10 +999,24 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 97,
"metadata": {},
- "outputs": [],
- "source": []
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "True"
+ ]
+ },
+ "execution_count": 97,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "admissions[\"GRE_CGPA\"] = admissions[\"GRE Score\"].astype(str) + \"-\" + admissions[\"CGPA\"].astype(str)\n",
+ "admissions[\"GRE_CGPA\"].is_unique\n"
+ ]
},
{
"cell_type": "markdown",
@@ -348,10 +1027,234 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 114,
"metadata": {},
- "outputs": [],
- "source": []
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
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\n",
+ " \n",
+ "
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+ "
110 rows × 9 columns
\n",
+ "
"
+ ],
+ "text/plain": [
+ " GRE Score TOEFL Score University Rating SOP LOR CGPA \\\n",
+ "Serial No. \n",
+ "1 337 118 4 4.5 4.5 9.65 \n",
+ "5 330 115 5 4.5 3.0 9.34 \n",
+ "11 328 112 4 4.0 4.5 9.10 \n",
+ "20 328 116 5 5.0 5.0 9.50 \n",
+ "21 334 119 5 5.0 4.5 9.70 \n",
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+ "382 325 107 3 3.0 3.5 9.11 \n",
+ "383 330 116 4 5.0 4.5 9.45 \n",
+ "385 333 117 4 5.0 4.0 9.66 \n",
+ "\n",
+ " Research Chance of Admit GRE_CGPA \n",
+ "Serial No. \n",
+ "1 True 0.92 337-9.65 \n",
+ "5 True 0.90 330-9.34 \n",
+ "11 True 0.78 328-9.1 \n",
+ "20 True 0.94 328-9.5 \n",
+ "21 True 0.95 334-9.7 \n",
+ "... ... ... ... \n",
+ "380 True 0.89 329-9.23 \n",
+ "381 True 0.82 324-9.04 \n",
+ "382 True 0.84 325-9.11 \n",
+ "383 True 0.91 330-9.45 \n",
+ "385 True 0.95 333-9.66 \n",
+ "\n",
+ "[110 rows x 9 columns]"
+ ]
+ },
+ "execution_count": 114,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "condition_1 = (admissions[\"CGPA\"] > 9) & (admissions[\"Research\"] == 1)\n",
+ "admissions_filter1 = admissions[condition_1]\n",
+ "admissions_filter1\n",
+ "##not sure why this wasn't working when I tried to do it in 2 separate conditions"
+ ]
},
{
"cell_type": "markdown",
@@ -362,17 +1265,167 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 117,
"metadata": {},
- "outputs": [],
- "source": []
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+ " GRE Score TOEFL Score University Rating SOP LOR CGPA \\\n",
+ "Serial No. \n",
+ "29 338 118 4 3.0 4.5 9.40 \n",
+ "63 327 114 3 3.0 3.0 9.02 \n",
+ "141 326 114 3 3.0 3.0 9.11 \n",
+ "218 324 111 4 3.0 3.0 9.01 \n",
+ "382 325 107 3 3.0 3.5 9.11 \n",
+ "\n",
+ " Research Chance of Admit GRE_CGPA \n",
+ "Serial No. \n",
+ "29 True 0.91 338-9.4 \n",
+ "63 True 0.61 327-9.02 \n",
+ "141 True 0.83 326-9.11 \n",
+ "218 True 0.82 324-9.01 \n",
+ "382 True 0.84 325-9.11 "
+ ]
+ },
+ "execution_count": 117,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "condition_2 = (admissions[\"CGPA\"] > 9) & (admissions[\"SOP\"] < 3.5)\n",
+ "admissions_filter2 = admissions[condition_2]\n",
+ "admissions_filter2"
+ ]
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 119,
"metadata": {},
- "outputs": [],
- "source": []
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "0.8019999999999999"
+ ]
+ },
+ "execution_count": 119,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "mean_chance = admissions_filter2[\"Chance of Admit\"].mean()\n",
+ "mean_chance"
+ ]
},
{
"cell_type": "markdown",
@@ -384,10 +1437,13 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 120,
"metadata": {},
"outputs": [],
- "source": []
+ "source": [
+ "def toefl_condition(score):\n",
+ " return score > 100"
+ ]
},
{
"cell_type": "markdown",
@@ -398,31 +1454,515 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 122,
"metadata": {},
- "outputs": [],
- "source": []
+ "outputs": [
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\n",
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\n",
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385 rows × 10 columns
\n",
+ "
"
+ ],
+ "text/plain": [
+ " GRE Score TOEFL Score University Rating SOP LOR CGPA \\\n",
+ "Serial No. \n",
+ "1 337 118 4 4.5 4.5 9.65 \n",
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+ "3 322 110 3 3.5 2.5 8.67 \n",
+ "4 314 103 2 2.0 3.0 8.21 \n",
+ "5 330 115 5 4.5 3.0 9.34 \n",
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+ "\n",
+ " Research Chance of Admit GRE_CGPA Decision \n",
+ "Serial No. \n",
+ "1 True 0.92 337-9.65 True \n",
+ "2 True 0.72 316-8.0 True \n",
+ "3 True 0.80 322-8.67 True \n",
+ "4 True 0.65 314-8.21 True \n",
+ "5 True 0.90 330-9.34 True \n",
+ "... ... ... ... ... \n",
+ "381 True 0.82 324-9.04 True \n",
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+ "383 True 0.91 330-9.45 True \n",
+ "384 True 0.67 312-8.78 True \n",
+ "385 True 0.95 333-9.66 True \n",
+ "\n",
+ "[385 rows x 10 columns]"
+ ]
+ },
+ "execution_count": 122,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "admissions[\"Decision\"] = toefl_condition(admissions[\"TOEFL Score\"])\n",
+ "admissions"
+ ]
},
{
- "cell_type": "code",
- "execution_count": null,
+ "cell_type": "markdown",
"metadata": {},
- "outputs": [],
- "source": []
+ "source": [
+ "Create a column called `decision2` in the `admissions` dataframe. Assign 1 to this column if the value of `SOP` is greater than 3 and 0 otherwise. \n",
+ "HINT (use np.where)"
+ ]
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 126,
"metadata": {},
"outputs": [],
- "source": []
+ "source": [
+ "admissions[\"decision2\"] = np.where(admissions[\"SOP\"] > 3, 1, 0)"
+ ]
},
{
- "cell_type": "markdown",
+ "cell_type": "code",
+ "execution_count": 127,
"metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
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+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ "
\n",
+ " \n",
+ " 381 | \n",
+ " 324 | \n",
+ " 110 | \n",
+ " 3 | \n",
+ " 3.5 | \n",
+ " 3.5 | \n",
+ " 9.04 | \n",
+ " True | \n",
+ " 0.82 | \n",
+ " 324-9.04 | \n",
+ " True | \n",
+ " 1 | \n",
+ "
\n",
+ " \n",
+ " 382 | \n",
+ " 325 | \n",
+ " 107 | \n",
+ " 3 | \n",
+ " 3.0 | \n",
+ " 3.5 | \n",
+ " 9.11 | \n",
+ " True | \n",
+ " 0.84 | \n",
+ " 325-9.11 | \n",
+ " True | \n",
+ " 0 | \n",
+ "
\n",
+ " \n",
+ " 383 | \n",
+ " 330 | \n",
+ " 116 | \n",
+ " 4 | \n",
+ " 5.0 | \n",
+ " 4.5 | \n",
+ " 9.45 | \n",
+ " True | \n",
+ " 0.91 | \n",
+ " 330-9.45 | \n",
+ " True | \n",
+ " 1 | \n",
+ "
\n",
+ " \n",
+ " 384 | \n",
+ " 312 | \n",
+ " 103 | \n",
+ " 3 | \n",
+ " 3.5 | \n",
+ " 4.0 | \n",
+ " 8.78 | \n",
+ " True | \n",
+ " 0.67 | \n",
+ " 312-8.78 | \n",
+ " True | \n",
+ " 1 | \n",
+ "
\n",
+ " \n",
+ " 385 | \n",
+ " 333 | \n",
+ " 117 | \n",
+ " 4 | \n",
+ " 5.0 | \n",
+ " 4.0 | \n",
+ " 9.66 | \n",
+ " True | \n",
+ " 0.95 | \n",
+ " 333-9.66 | \n",
+ " True | \n",
+ " 1 | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
385 rows × 11 columns
\n",
+ "
"
+ ],
+ "text/plain": [
+ " GRE Score TOEFL Score University Rating SOP LOR CGPA \\\n",
+ "Serial No. \n",
+ "1 337 118 4 4.5 4.5 9.65 \n",
+ "2 316 104 3 3.0 3.5 8.00 \n",
+ "3 322 110 3 3.5 2.5 8.67 \n",
+ "4 314 103 2 2.0 3.0 8.21 \n",
+ "5 330 115 5 4.5 3.0 9.34 \n",
+ "... ... ... ... ... ... ... \n",
+ "381 324 110 3 3.5 3.5 9.04 \n",
+ "382 325 107 3 3.0 3.5 9.11 \n",
+ "383 330 116 4 5.0 4.5 9.45 \n",
+ "384 312 103 3 3.5 4.0 8.78 \n",
+ "385 333 117 4 5.0 4.0 9.66 \n",
+ "\n",
+ " Research Chance of Admit GRE_CGPA Decision decision2 \n",
+ "Serial No. \n",
+ "1 True 0.92 337-9.65 True 1 \n",
+ "2 True 0.72 316-8.0 True 0 \n",
+ "3 True 0.80 322-8.67 True 1 \n",
+ "4 True 0.65 314-8.21 True 0 \n",
+ "5 True 0.90 330-9.34 True 1 \n",
+ "... ... ... ... ... ... \n",
+ "381 True 0.82 324-9.04 True 1 \n",
+ "382 True 0.84 325-9.11 True 0 \n",
+ "383 True 0.91 330-9.45 True 1 \n",
+ "384 True 0.67 312-8.78 True 1 \n",
+ "385 True 0.95 333-9.66 True 1 \n",
+ "\n",
+ "[385 rows x 11 columns]"
+ ]
+ },
+ "execution_count": 127,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
"source": [
- "Create a column called `decision2` in the `admissions` dataframe. Assign 1 to this column if the value of `SOP` is greater than 3 and 0 otherwise. \n",
- "HINT (use np.where)"
+ "admissions"
]
},
{
@@ -435,9 +1975,9 @@
],
"metadata": {
"kernelspec": {
- "display_name": "Python 3 (ipykernel)",
+ "display_name": "ironhack",
"language": "python",
- "name": "python3"
+ "name": "ironhack"
},
"language_info": {
"codemirror_mode": {
@@ -449,7 +1989,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.10.8"
+ "version": "3.11.5"
},
"toc": {
"base_numbering": "",