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Section 3 done

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section_3/13_manual_data_loading.ipynb 0 → 100644
{
"cells": [
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"X = []"
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},
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"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"import numpy as np"
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},
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"source": [
"for line in open(\"data_2d.csv\"):\n",
" row = line.split(',')\n",
" # print(row)\n",
" sample = list(map(float, row))\n",
" X.append(sample)\n",
"X = np.array(X)\n",
"X"
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section_3/14_dataframes.ipynb 0 → 100644
{
"cells": [
{
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"execution_count": 1,
"metadata": {},
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"import pandas as pd"
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"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
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"pandas.core.frame.DataFrame"
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"source": [
"X = pd.read_csv(\"data_2d.csv\", header=None)\n",
"type(X)"
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"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"<class 'pandas.core.frame.DataFrame'>\n",
"RangeIndex: 100 entries, 0 to 99\n",
"Data columns (total 3 columns):\n",
"0 100 non-null float64\n",
"1 100 non-null float64\n",
"2 100 non-null float64\n",
"dtypes: float64(3)\n",
"memory usage: 2.4 KB\n"
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"X.head(10)"
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section_3/16_column_names.ipynb 0 → 100644
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Index(['Month', 'International airline passengers: monthly totals in thousands. Jan 49 ? Dec 60'], dtype='object')"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df = pd.read_csv(\"international-airline-passengers.csv\", engine=\"python\", skipfooter=3)\n",
"df.columns"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Index(['month', 'passengers'], dtype='object')"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.columns = [\"month\", \"passengers\"]\n",
"df.columns"
]
},
{
"cell_type": "code",
"execution_count": 6,
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{
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"Name: passengers, Length: 144, dtype: int64"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df['passengers']"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
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"26 178\n",
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"28 172\n",
"29 178\n",
" ... \n",
"114 491\n",
"115 505\n",
"116 404\n",
"117 359\n",
"118 310\n",
"119 337\n",
"120 360\n",
"121 342\n",
"122 406\n",
"123 396\n",
"124 420\n",
"125 472\n",
"126 548\n",
"127 559\n",
"128 463\n",
"129 407\n",
"130 362\n",
"131 405\n",
"132 417\n",
"133 391\n",
"134 419\n",
"135 461\n",
"136 472\n",
"137 535\n",
"138 622\n",
"139 606\n",
"140 508\n",
"141 461\n",
"142 390\n",
"143 432\n",
"Name: passengers, Length: 144, dtype: int64"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.passengers"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
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" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
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" .dataframe thead th {\n",
" text-align: right;\n",
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"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>month</th>\n",
" <th>passengers</th>\n",
" <th>ones</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>1949-01</td>\n",
" <td>112</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>1949-02</td>\n",
" <td>118</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>1949-03</td>\n",
" <td>132</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>1949-04</td>\n",
" <td>129</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>1949-05</td>\n",
" <td>121</td>\n",
" <td>1</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" month passengers ones\n",
"0 1949-01 112 1\n",
"1 1949-02 118 1\n",
"2 1949-03 132 1\n",
"3 1949-04 129 1\n",
"4 1949-05 121 1"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df['ones'] = 1\n",
"df.head()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
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section_3/data_2d.csv 0 → 100644
17.9302012052,94.5205919533,320.259529602
97.1446971852,69.5932819844,404.634471526
81.7759007845,5.73764809688,181.485107741
55.8543424175,70.3259016768,321.773638018
49.3665499855,75.1140401571,322.465485583
3.19270246506,29.2562988631,94.6188108954
49.2007840582,86.1444385075,356.348092747
21.882803904,46.8415051959,181.653769226
79.5098627219,87.397355535,423.557743194
88.1538874975,65.2056419279,369.229245443
60.7438543399,99.9576339008,427.605803661
67.4155819451,50.3683096094,292.471821553
48.3181157719,99.1289531425,395.529811407
28.8299719729,87.1849488537,319.031348455
43.853742664,64.4736390798,287.4281441
25.3136940868,83.5452942552,292.768908839
10.807726675,45.6955685904,159.663307674
98.365745882,82.6973935253,438.798963866
29.1469099692,66.3651067611,250.986309034
65.1003018959,33.3538834975,231.711507921
24.6441134909,39.5400527406,163.398160832
37.5598048804,1.34572784158,83.4801551365
88.1645062351,95.1536625708,466.265805791
13.8346208354,25.494048204,100.886430268
64.4108437467,77.2598381277,365.641048062
68.925991798,97.4536007955,426.140015493
39.4884422375,50.8561281903,235.532389457
52.4631776831,59.7765096878,283.291640318
48.4847869797,66.9703542227,298.581440375
8.06208781377,98.2426001448,309.234108782
32.7318877149,18.8535355289,129.610139015
11.6523787962,66.2645117418,224.150542091
13.7303535349,70.4725091314,235.305665631
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53.6098761481,94.560121637,394.939444253
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87.3336092062,93.8039343271,449.363351987
66.3576110919,81.8475512843,387.014816485
19.7547175302,65.5233009197,240.389441595
21.1334404504,47.4371819938,177.14828058
22.37386481,25.9556275364,119.61125795
93.9904040537,0.127890520058,196.716166657
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86.3990630133,41.8886945857,294.871713576
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41.6938871165,69.241125973,284.834636711
4.1426693978,52.2547263792,168.034400947
section_3/international-airline-passengers.csv 0 → 100644
"Month","International airline passengers: monthly totals in thousands. Jan 49 ? Dec 60"
"1949-01",112
"1949-02",118
"1949-03",132
"1949-04",129
"1949-05",121
"1949-06",135
"1949-07",148
"1949-08",148
"1949-09",136
"1949-10",119
"1949-11",104
"1949-12",118
"1950-01",115
"1950-02",126
"1950-03",141
"1950-04",135
"1950-05",125
"1950-06",149
"1950-07",170
"1950-08",170
"1950-09",158
"1950-10",133
"1950-11",114
"1950-12",140
"1951-01",145
"1951-02",150
"1951-03",178
"1951-04",163
"1951-05",172
"1951-06",178
"1951-07",199
"1951-08",199
"1951-09",184
"1951-10",162
"1951-11",146
"1951-12",166
"1952-01",171
"1952-02",180
"1952-03",193
"1952-04",181
"1952-05",183
"1952-06",218
"1952-07",230
"1952-08",242
"1952-09",209
"1952-10",191
"1952-11",172
"1952-12",194
"1953-01",196
"1953-02",196
"1953-03",236
"1953-04",235
"1953-05",229
"1953-06",243
"1953-07",264
"1953-08",272
"1953-09",237
"1953-10",211
"1953-11",180
"1953-12",201
"1954-01",204
"1954-02",188
"1954-03",235
"1954-04",227
"1954-05",234
"1954-06",264
"1954-07",302
"1954-08",293
"1954-09",259
"1954-10",229
"1954-11",203
"1954-12",229
"1955-01",242
"1955-02",233
"1955-03",267
"1955-04",269
"1955-05",270
"1955-06",315
"1955-07",364
"1955-08",347
"1955-09",312
"1955-10",274
"1955-11",237
"1955-12",278
"1956-01",284
"1956-02",277
"1956-03",317
"1956-04",313
"1956-05",318
"1956-06",374
"1956-07",413
"1956-08",405
"1956-09",355
"1956-10",306
"1956-11",271
"1956-12",306
"1957-01",315
"1957-02",301
"1957-03",356
"1957-04",348
"1957-05",355
"1957-06",422
"1957-07",465
"1957-08",467
"1957-09",404
"1957-10",347
"1957-11",305
"1957-12",336
"1958-01",340
"1958-02",318
"1958-03",362
"1958-04",348
"1958-05",363
"1958-06",435
"1958-07",491
"1958-08",505
"1958-09",404
"1958-10",359
"1958-11",310
"1958-12",337
"1959-01",360
"1959-02",342
"1959-03",406
"1959-04",396
"1959-05",420
"1959-06",472
"1959-07",548
"1959-08",559
"1959-09",463
"1959-10",407
"1959-11",362
"1959-12",405
"1960-01",417
"1960-02",391
"1960-03",419
"1960-04",461
"1960-05",472
"1960-06",535
"1960-07",622
"1960-08",606
"1960-09",508
"1960-10",461
"1960-11",390
"1960-12",432
International airline passengers: monthly totals in thousands. Jan 49 ? Dec 60
section_3/table1.csv 0 → 100644
user_id,email,age
1,alice@gmail.com,20
2,bob@gmail.com,25
3,carol@gmail.com,30
\ No newline at end of file
section_3/table2.csv 0 → 100644
user_id,ad_id,click
1,1,1
1,2,0
1,5,0
2,3,0
2,4,1
2,1,0
3,2,0
3,1,0
3,3,0
3,4,0
3,5,1
\ No newline at end of file
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