diff --git a/your-code/main.ipynb b/your-code/main.ipynb index 999b648..56b09aa 100644 --- a/your-code/main.ipynb +++ b/your-code/main.ipynb @@ -18,13 +18,13446 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ - "# your code here\n" + "import mysql.connector\n", + "from getpass import getpass\n", + "import pandas as pd\n" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "········\n" + ] + } + ], + "source": [ + "cnx = mysql.connector.connect(user = \"root\",\n", + " password = getpass(),\n", + " host = \"localhost\",\n", + " database = \"sakila\")" ] }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cnx.is_connected()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "cursor = cnx.cursor()" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "query = (\"\"\"SELECT * FROM sakila.film;\"\"\")\n", + "\n", + "cursor.execute(query)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[(1,\n", + " 'ACADEMY DINOSAUR',\n", + " 'A Epic Drama of a Feminist And a Mad Scientist who must Battle a Teacher in The Canadian Rockies',\n", + " 2006,\n", + " 1,\n", + " None,\n", + " 6,\n", + " Decimal('0.99'),\n", + " 86,\n", + " Decimal('20.99'),\n", + " 'PG',\n", + " {'Behind the Scenes', 'Deleted Scenes'},\n", + " datetime.datetime(2006, 2, 15, 5, 3, 42)),\n", + " (2,\n", + " 'ACE GOLDFINGER',\n", + " 'A Astounding Epistle of a Database Administrator And a Explorer who must Find a Car in Ancient China',\n", + " 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film_idtitledescriptionrelease_yearlanguage_idoriginal_language_idrental_durationrental_ratelengthreplacement_costratingspecial_featureslast_update
01ACADEMY DINOSAURA Epic Drama of a Feminist And a Mad Scientist...20061None60.998620.99PG{Behind the Scenes, Deleted Scenes}2006-02-15 05:03:42
12ACE GOLDFINGERA Astounding Epistle of a Database Administrat...20061None34.994812.99G{Trailers, Deleted Scenes}2006-02-15 05:03:42
23ADAPTATION HOLESA Astounding Reflection of a Lumberjack And a ...20061None72.995018.99NC-17{Trailers, Deleted Scenes}2006-02-15 05:03:42
34AFFAIR PREJUDICEA Fanciful Documentary of a Frisbee And a Lumb...20061None52.9911726.99G{Commentaries, Behind the Scenes}2006-02-15 05:03:42
45AFRICAN EGGA Fast-Paced Documentary of a Pastry Chef And ...20061None62.9913022.99G{Deleted Scenes}2006-02-15 05:03:42
..........................................
995996YOUNG LANGUAGEA Unbelieveable Yarn of a Boat And a Database ...20061None60.991839.99G{Trailers, Behind the Scenes}2006-02-15 05:03:42
996997YOUTH KICKA Touching Drama of a Teacher And a Cat who mu...20061None40.9917914.99NC-17{Trailers, Behind the Scenes}2006-02-15 05:03:42
997998ZHIVAGO COREA Fateful Yarn of a Composer And a Man who mus...20061None60.9910510.99NC-17{Deleted Scenes}2006-02-15 05:03:42
998999ZOOLANDER FICTIONA Fateful Reflection of a Waitress And a Boat ...20061None52.9910128.99R{Trailers, Deleted Scenes}2006-02-15 05:03:42
9991000ZORRO ARKA Intrepid Panorama of a Mad Scientist And a B...20061None34.995018.99NC-17{Trailers, Behind the Scenes, Commentaries}2006-02-15 05:03:42
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:@computed_region_cbhk_fwbd:@computed_region_nnqa_25f4fallgeolocationidmassnamenametyperecclassreclatreclongyear
0NaNNaNFell{'type': 'Point', 'coordinates': [6.08333, 50....121.0AachenValidL550.775006.083331880-01-01T00:00:00.000
1NaNNaNFell{'type': 'Point', 'coordinates': [10.23333, 56...2720.0AarhusValidH656.1833310.233331951-01-01T00:00:00.000
2NaNNaNFell{'type': 'Point', 'coordinates': [-113, 54.216...6107000.0AbeeValidEH454.21667-113.000001952-01-01T00:00:00.000
3NaNNaNFell{'type': 'Point', 'coordinates': [-99.9, 16.88...101914.0AcapulcoValidAcapulcoite16.88333-99.900001976-01-01T00:00:00.000
4NaNNaNFell{'type': 'Point', 'coordinates': [-64.95, -33....370780.0AchirasValidL6-33.16667-64.950001902-01-01T00:00:00.000
.......................................
995NaNNaNFell{'type': 'Point', 'coordinates': [79.41667, 13...24009230.0TirupatiValidH613.6333379.416671934-01-01T00:00:00.000
996NaNNaNFell{'type': 'Point', 'coordinates': [-7.61123, 29...548237000.0TissintValidMartian (shergottite)29.48195-7.611232011-01-01T00:00:00.000
997NaNNaNFell{'type': 'Point', 'coordinates': [111.53333, -...2401120000.0TjabeValidH6-7.08333111.533331869-01-01T00:00:00.000
998NaNNaNFell{'type': 'Point', 'coordinates': [106.58333, -...2401216500.0TjerebonValidL5-6.66667106.583331922-01-01T00:00:00.000
999NaNNaNFell{'type': 'Point', 'coordinates': [34.76667, 47...24019600.0TomakovkaValidLL647.8500034.766671905-01-01T00:00:00.000
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1000 rows × 12 columns

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" + ], + "text/plain": [ + " :@computed_region_cbhk_fwbd :@computed_region_nnqa_25f4 fall \\\n", + "0 NaN NaN Fell \n", + "1 NaN NaN Fell \n", + "2 NaN NaN Fell \n", + "3 NaN NaN Fell \n", + "4 NaN NaN Fell \n", + ".. ... ... ... \n", + "995 NaN NaN Fell \n", + "996 NaN NaN Fell \n", + "997 NaN NaN Fell \n", + "998 NaN NaN Fell \n", + "999 NaN NaN Fell \n", + "\n", + " geolocation id mass \\\n", + "0 {'type': 'Point', 'coordinates': [6.08333, 50.... 1 21.0 \n", + "1 {'type': 'Point', 'coordinates': [10.23333, 56... 2 720.0 \n", + "2 {'type': 'Point', 'coordinates': [-113, 54.216... 6 107000.0 \n", + "3 {'type': 'Point', 'coordinates': [-99.9, 16.88... 10 1914.0 \n", + "4 {'type': 'Point', 'coordinates': [-64.95, -33.... 370 780.0 \n", + ".. ... ... ... \n", + "995 {'type': 'Point', 'coordinates': [79.41667, 13... 24009 230.0 \n", + "996 {'type': 'Point', 'coordinates': [-7.61123, 29... 54823 7000.0 \n", + "997 {'type': 'Point', 'coordinates': [111.53333, -... 24011 20000.0 \n", + "998 {'type': 'Point', 'coordinates': [106.58333, -... 24012 16500.0 \n", + "999 {'type': 'Point', 'coordinates': [34.76667, 47... 24019 600.0 \n", + "\n", + " name nametype recclass reclat reclong \\\n", + "0 Aachen Valid L5 50.77500 6.08333 \n", + "1 Aarhus Valid H6 56.18333 10.23333 \n", + "2 Abee Valid EH4 54.21667 -113.00000 \n", + "3 Acapulco Valid Acapulcoite 16.88333 -99.90000 \n", + "4 Achiras Valid L6 -33.16667 -64.95000 \n", + ".. ... ... ... ... ... \n", + "995 Tirupati Valid H6 13.63333 79.41667 \n", + "996 Tissint Valid Martian (shergottite) 29.48195 -7.61123 \n", + "997 Tjabe Valid H6 -7.08333 111.53333 \n", + "998 Tjerebon Valid L5 -6.66667 106.58333 \n", + "999 Tomakovka Valid LL6 47.85000 34.76667 \n", + "\n", + " year \n", + "0 1880-01-01T00:00:00.000 \n", + "1 1951-01-01T00:00:00.000 \n", + "2 1952-01-01T00:00:00.000 \n", + "3 1976-01-01T00:00:00.000 \n", + "4 1902-01-01T00:00:00.000 \n", + ".. ... \n", + "995 1934-01-01T00:00:00.000 \n", + "996 2011-01-01T00:00:00.000 \n", + "997 1869-01-01T00:00:00.000 \n", + "998 1922-01-01T00:00:00.000 \n", + "999 1905-01-01T00:00:00.000 \n", + "\n", + "[1000 rows x 12 columns]" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "# your code here\n" + "nasa = pd.read_json(\"nasa.json\")\n", + "\n", + "nasa" ] }, { @@ -67,11 +13769,154 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 17, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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:@computed_region_cbhk_fwbd:@computed_region_nnqa_25f4fallgeolocationidmassnamenametyperecclassreclatreclongyear
0NaNNaNFell{'type': 'Point', 'coordinates': [6.08333, 50....121.0AachenValidL550.775006.083331880-01-01T00:00:00.000
1NaNNaNFell{'type': 'Point', 'coordinates': [10.23333, 56...2720.0AarhusValidH656.1833310.233331951-01-01T00:00:00.000
2NaNNaNFell{'type': 'Point', 'coordinates': [-113, 54.216...6107000.0AbeeValidEH454.21667-113.000001952-01-01T00:00:00.000
3NaNNaNFell{'type': 'Point', 'coordinates': [-99.9, 16.88...101914.0AcapulcoValidAcapulcoite16.88333-99.900001976-01-01T00:00:00.000
4NaNNaNFell{'type': 'Point', 'coordinates': [-64.95, -33....370780.0AchirasValidL6-33.16667-64.950001902-01-01T00:00:00.000
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" + ], + "text/plain": [ + " :@computed_region_cbhk_fwbd :@computed_region_nnqa_25f4 fall \\\n", + "0 NaN NaN Fell \n", + "1 NaN NaN Fell \n", + "2 NaN NaN Fell \n", + "3 NaN NaN Fell \n", + "4 NaN NaN Fell \n", + "\n", + " geolocation id mass name \\\n", + "0 {'type': 'Point', 'coordinates': [6.08333, 50.... 1 21.0 Aachen \n", + "1 {'type': 'Point', 'coordinates': [10.23333, 56... 2 720.0 Aarhus \n", + "2 {'type': 'Point', 'coordinates': [-113, 54.216... 6 107000.0 Abee \n", + "3 {'type': 'Point', 'coordinates': [-99.9, 16.88... 10 1914.0 Acapulco \n", + "4 {'type': 'Point', 'coordinates': [-64.95, -33.... 370 780.0 Achiras \n", + "\n", + " nametype recclass reclat reclong year \n", + "0 Valid L5 50.77500 6.08333 1880-01-01T00:00:00.000 \n", + "1 Valid H6 56.18333 10.23333 1951-01-01T00:00:00.000 \n", + "2 Valid EH4 54.21667 -113.00000 1952-01-01T00:00:00.000 \n", + "3 Valid Acapulcoite 16.88333 -99.90000 1976-01-01T00:00:00.000 \n", + "4 Valid L6 -33.16667 -64.95000 1902-01-01T00:00:00.000 " + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "# your code here\n" + "nasa.head()\n" ] }, { @@ -85,11 +13930,24 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 18, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "Fell 996\n", + "Found 4\n", + "Name: fall, dtype: int64" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "# your code here\n" + "nasa[\"fall\"].value_counts()\n" ] }, { @@ -101,11 +13959,11 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 20, "metadata": {}, "outputs": [], "source": [ - "# your code here\n" + "nasa.to_json(\"nasa_output.json\", orient = \"records\")\n" ] }, { @@ -123,17 +13981,17 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 21, "metadata": {}, "outputs": [], "source": [ - "#Your pandas import here:\n", + "import pandas as pd\n", "\n" ] }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 22, "metadata": {}, "outputs": [], "source": [ @@ -145,11 +14003,225 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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14499 rows × 10 columns

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" + ], + "text/plain": [ + " 55 0 81 0.1 -6 11 25 88 64 4\n", + "0 56 0 96 0 52 -4 40 44 4 4\n", + "1 50 -1 89 -7 50 0 39 40 2 1\n", + "2 53 9 79 0 42 -2 25 37 12 4\n", + "3 55 2 82 0 54 -6 26 28 2 1\n", + "4 41 0 84 3 38 -4 43 45 2 1\n", + "... .. .. ... ... .. .. .. ... ... ..\n", + "14494 80 0 84 0 -36 -29 4 120 116 5\n", + "14495 55 0 81 0 -20 25 26 102 76 4\n", + "14496 55 0 77 0 12 -22 22 65 42 4\n", + "14497 37 0 103 0 18 -16 66 85 20 1\n", + "14498 56 2 98 0 52 1 42 46 4 4\n", + "\n", + "[14499 rows x 10 columns]" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "shuttle = pd.read_csv(\"https://archive.ics.uci.edu/ml/machine-learning-databases/statlog/shuttle/shuttle.tst\", sep=' ')\n", + "shuttle" + ] + }, + { + "cell_type": "code", + "execution_count": 33, "metadata": {}, "outputs": [], "source": [ - "# Your code here:\n", + "shuttle = pd.DataFrame(shuttle, columns = cols)\n", "\n" ] }, @@ -162,12 +14234,341 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 35, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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timerad_flowfpv_closefpv_openhighbypassbpv_closebpv_openclass
0NaNNaNNaNNaNNaNNaNNaNNaNNaN
1NaNNaNNaNNaNNaNNaNNaNNaNNaN
2NaNNaNNaNNaNNaNNaNNaNNaNNaN
3NaNNaNNaNNaNNaNNaNNaNNaNNaN
4NaNNaNNaNNaNNaNNaNNaNNaNNaN
5NaNNaNNaNNaNNaNNaNNaNNaNNaN
6NaNNaNNaNNaNNaNNaNNaNNaNNaN
7NaNNaNNaNNaNNaNNaNNaNNaNNaN
8NaNNaNNaNNaNNaNNaNNaNNaNNaN
9NaNNaNNaNNaNNaNNaNNaNNaNNaN
10NaNNaNNaNNaNNaNNaNNaNNaNNaN
11NaNNaNNaNNaNNaNNaNNaNNaNNaN
12NaNNaNNaNNaNNaNNaNNaNNaNNaN
13NaNNaNNaNNaNNaNNaNNaNNaNNaN
14NaNNaNNaNNaNNaNNaNNaNNaNNaN
15NaNNaNNaNNaNNaNNaNNaNNaNNaN
16NaNNaNNaNNaNNaNNaNNaNNaNNaN
17NaNNaNNaNNaNNaNNaNNaNNaNNaN
18NaNNaNNaNNaNNaNNaNNaNNaNNaN
19NaNNaNNaNNaNNaNNaNNaNNaNNaN
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" + ], + "text/plain": [ + " time rad_flow fpv_close fpv_open high bypass bpv_close bpv_open \\\n", + "0 NaN NaN NaN NaN NaN NaN NaN NaN \n", + "1 NaN NaN NaN NaN NaN NaN NaN NaN \n", + "2 NaN NaN NaN NaN NaN NaN NaN NaN \n", + "3 NaN NaN NaN NaN NaN NaN NaN NaN \n", + "4 NaN NaN NaN NaN NaN NaN NaN NaN \n", + "5 NaN NaN NaN NaN NaN NaN NaN NaN \n", + "6 NaN NaN NaN NaN NaN NaN NaN NaN \n", + "7 NaN NaN NaN NaN NaN NaN NaN NaN \n", + "8 NaN NaN NaN NaN NaN NaN NaN NaN \n", + "9 NaN NaN NaN NaN NaN NaN NaN NaN \n", + "10 NaN NaN NaN NaN NaN NaN NaN NaN \n", + "11 NaN NaN NaN NaN NaN NaN NaN NaN \n", + "12 NaN NaN NaN NaN NaN NaN NaN NaN \n", + "13 NaN NaN NaN NaN NaN NaN NaN NaN \n", + "14 NaN NaN NaN NaN NaN NaN NaN NaN \n", + "15 NaN NaN NaN NaN NaN NaN NaN NaN \n", + "16 NaN NaN NaN NaN NaN NaN NaN NaN \n", + "17 NaN NaN NaN NaN NaN NaN NaN NaN \n", + "18 NaN NaN NaN NaN NaN NaN NaN NaN \n", + "19 NaN NaN NaN NaN NaN NaN NaN NaN \n", + "\n", + " class \n", + "0 NaN \n", + "1 NaN \n", + "2 NaN \n", + "3 NaN \n", + "4 NaN \n", + "5 NaN \n", + "6 NaN \n", + "7 NaN \n", + "8 NaN \n", + "9 NaN \n", + "10 NaN \n", + "11 NaN \n", + "12 NaN \n", + "13 NaN \n", + "14 NaN \n", + "15 NaN \n", + "16 NaN \n", + "17 NaN \n", + "18 NaN \n", + "19 NaN " + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "# Your code here:\n", - "\n" + "shuttle.head()\n", + "\n", + "# do not know why its all null values" ] }, { @@ -179,11 +14580,11 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 37, "metadata": {}, "outputs": [], "source": [ - "# Your code here:\n", + "shuttle.to_csv(\"shuttle.csv\", sep = \",\", index = False)\n", "\n" ] }, @@ -200,12 +14601,21 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 12, "metadata": {}, "outputs": [], "source": [ - "# Your code here:\n", - "\n" + "import pandas as pd" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "astronauts = pd.read_excel(\"astronauts.xls\")\n" ] }, { @@ -217,11 +14627,210 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 15, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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NameYearGroupStatusBirth DateBirth PlaceGenderAlma MaterUndergraduate MajorGraduate MajorMilitary RankMilitary BranchSpace FlightsSpace Flight (hr)Space WalksSpace Walks (hr)MissionsDeath DateDeath Mission
0Joseph M. Acaba2004.019.0Active1967-05-17Inglewood, CAMaleUniversity of California-Santa Barbara; Univer...GeologyGeologyNaNNaN23307213.0STS-119 (Discovery), ISS-31/32 (Soyuz)NaTNaN
1Loren W. ActonNaNNaNRetired1936-03-07Lewiston, MTMaleMontana State University; University of ColoradoEngineering PhysicsSolar PhysicsNaNNaN119000.0STS 51-F (Challenger)NaTNaN
2James C. Adamson1984.010.0Retired1946-03-03Warsaw, NYMaleUS Military Academy; Princeton UniversityEngineeringAerospace EngineeringColonelUS Army (Retired)233400.0STS-28 (Columbia), STS-43 (Atlantis)NaTNaN
3Thomas D. Akers1987.012.0Retired1951-05-20St. Louis, MOMaleUniversity of Missouri-RollaApplied MathematicsApplied MathematicsColonelUS Air Force (Retired)4814429.0STS-41 (Discovery), STS-49 (Endeavor), STS-61 ...NaTNaN
4Buzz Aldrin1963.03.0Retired1930-01-20Montclair, NJMaleUS Military Academy; MITMechanical EngineeringAstronauticsColonelUS Air Force (Retired)228928.0Gemini 12, Apollo 11NaTNaN
\n", + "
" + ], + "text/plain": [ + " Name Year Group Status Birth Date Birth Place Gender \\\n", + "0 Joseph M. Acaba 2004.0 19.0 Active 1967-05-17 Inglewood, CA Male \n", + "1 Loren W. Acton NaN NaN Retired 1936-03-07 Lewiston, MT Male \n", + "2 James C. Adamson 1984.0 10.0 Retired 1946-03-03 Warsaw, NY Male \n", + "3 Thomas D. Akers 1987.0 12.0 Retired 1951-05-20 St. Louis, MO Male \n", + "4 Buzz Aldrin 1963.0 3.0 Retired 1930-01-20 Montclair, NJ Male \n", + "\n", + " Alma Mater Undergraduate Major \\\n", + "0 University of California-Santa Barbara; Univer... Geology \n", + "1 Montana State University; University of Colorado Engineering Physics \n", + "2 US Military Academy; Princeton University Engineering \n", + "3 University of Missouri-Rolla Applied Mathematics \n", + "4 US Military Academy; MIT Mechanical Engineering \n", + "\n", + " Graduate Major Military Rank Military Branch Space Flights \\\n", + "0 Geology NaN NaN 2 \n", + "1 Solar Physics NaN NaN 1 \n", + "2 Aerospace Engineering Colonel US Army (Retired) 2 \n", + "3 Applied Mathematics Colonel US Air Force (Retired) 4 \n", + "4 Astronautics Colonel US Air Force (Retired) 2 \n", + "\n", + " Space Flight (hr) Space Walks Space Walks (hr) \\\n", + "0 3307 2 13.0 \n", + "1 190 0 0.0 \n", + "2 334 0 0.0 \n", + "3 814 4 29.0 \n", + "4 289 2 8.0 \n", + "\n", + " Missions Death Date Death Mission \n", + "0 STS-119 (Discovery), ISS-31/32 (Soyuz) NaT NaN \n", + "1 STS 51-F (Challenger) NaT NaN \n", + "2 STS-28 (Columbia), STS-43 (Atlantis) NaT NaN \n", + "3 STS-41 (Discovery), STS-49 (Endeavor), STS-61 ... NaT NaN \n", + "4 Gemini 12, Apollo 11 NaT NaN " + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "# Your code here:\n", + "astronauts.head()\n", "\n" ] }, @@ -234,11 +14843,33 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 16, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "Physics 35\n", + "Aerospace Engineering 33\n", + "Mechanical Engineering 30\n", + "Aeronautical Engineering 28\n", + "Electrical Engineering 23\n", + " ..\n", + "Astronomy 1\n", + "Marine Engineering & Nautical Science 1\n", + "Philosophy 1\n", + "Bioscience 1\n", + "Military Science 1\n", + "Name: Undergraduate Major, Length: 83, dtype: int64" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "# Your code here:\n", + "astronauts[\"Undergraduate Major\"].value_counts()\n", "\n" ] }, @@ -251,12 +14882,12 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 17, "metadata": {}, "outputs": [], "source": [ - "# Your code here:\n", - "\n" + "\n", + "astronauts.to_csv(\"astronaut.csv\", sep = \"\\t\", index = False)\n" ] }, { @@ -281,7 +14912,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -295,7 +14926,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.6" + "version": "3.10.9" } }, "nbformat": 4, diff --git a/your-code/nasa_output.json b/your-code/nasa_output.json new file mode 100644 index 0000000..9f214b7 --- /dev/null +++ b/your-code/nasa_output.json @@ -0,0 +1 @@ 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