diff --git a/your-code/main.ipynb b/your-code/main.ipynb index 1fe9046..fd22c9b 100755 --- a/your-code/main.ipynb +++ b/your-code/main.ipynb @@ -36,13 +36,14 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 503, "metadata": {}, "outputs": [], "source": [ "import requests\n", "from bs4 import BeautifulSoup\n", - "import pandas as pd" + "import pandas as pd\n", + "import re" ] }, { @@ -54,7 +55,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 504, "metadata": {}, "outputs": [], "source": [ @@ -64,11 +65,4223 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 505, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Trending developers on GitHub today · GitHub\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
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Prodan',\n", + " 'Drew Powers',\n", + " 'Sebastian Muszynski']" + ] + }, + "execution_count": 506, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "# your code here" + "# your code here\n", + "data = soup.find_all(\"h1\", attrs = {\"class\": \"h3 lh-condensed\"})\n", + "\n", + "i = 0\n", + "name_list = []\n", + "\n", + "for item in data:\n", + " name = item.get_text().strip()\n", + " name_list.append(name)\n", + " i += 1\n", + " \n", + "name_list\n" ] }, { @@ -144,7 +4403,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 507, "metadata": {}, "outputs": [], "source": [ @@ -154,11 +4413,62 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 508, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "['xtekky/gpt4free',\n", + " 'AIGC-Audio/AudioGPT',\n", + " 'alaeddine-13/thinkgpt',\n", + " 'deep-floyd/IF',\n", + " 'NVIDIA/NeMo-Guardrails',\n", + " 'gaomingqi/Track-Anything',\n", + " 'nlpxucan/WizardLM',\n", + " 'CVI-SZU/Linly',\n", + " 'deforum-art/deforum-stable-diffusion',\n", + " 'GFW-knocker/gfw_resist_tls_proxy',\n", + " 'X-PLUG/mPLUG-Owl',\n", + " 'UX-Decoder/Segment-Everything-Everywhere-All-At-Once',\n", + " 'bhaskatripathi/pdfGPT',\n", + " 'openai/plugins-quickstart',\n", + " 'freedmand/semantra',\n", + " 'openai/chatgpt-retrieval-plugin',\n", + " 'aniskoubaa/rosgpt',\n", + " 'ultralytics/ultralytics',\n", + " 'farshadz1997/Microsoft-Rewards-bot',\n", + " '521xueweihan/HelloGitHub',\n", + " 'Jun-CEN/SegmentAnyRGBD',\n", + " 'open-mmlab/mmagic',\n", + " 'localstack/localstack',\n", + " 'xtekky/chatgpt-clone',\n", + " 'bookfere/Ebook-Translator-Calibre-Plugin']" + ] + }, + "execution_count": 508, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "# your code here" + "# your code here\n", + "response = requests.get(url)\n", + "soup = BeautifulSoup(response.content)\n", + "repo = soup.find_all(\"h2\", attrs = {\"class\": \"h3 lh-condensed\"})\n", + "\n", + "i = 0\n", + "repo_list = []\n", + "\n", + "for item in repo:\n", + " name = item.get_text().strip().replace(\" \", \"\").replace(\"\\n\", \"\")\n", + "\n", + " repo_list.append(name)\n", + " i += 1\n", + " \n", + "repo_list\n", + "\n", + "\n" ] }, { @@ -171,7 +4481,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 509, "metadata": {}, "outputs": [], "source": [ @@ -181,11 +4491,62 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 510, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "//upload.wikimedia.org/wikipedia/en/thumb/e/e7/Cscr-featured.svg/20px-Cscr-featured.svg.png\n", + "//upload.wikimedia.org/wikipedia/en/thumb/8/8c/Extended-protection-shackle.svg/20px-Extended-protection-shackle.svg.png\n", + "//upload.wikimedia.org/wikipedia/commons/thumb/d/df/Walt_Disney_1946.JPG/220px-Walt_Disney_1946.JPG\n", + "//upload.wikimedia.org/wikipedia/commons/thumb/8/87/Walt_Disney_1942_signature.svg/150px-Walt_Disney_1942_signature.svg.png\n", + "//upload.wikimedia.org/wikipedia/commons/thumb/3/3a/Walt_Disney_Birthplace_Exterior_Hermosa_Chicago_Illinois.jpg/220px-Walt_Disney_Birthplace_Exterior_Hermosa_Chicago_Illinois.jpg\n", + "//upload.wikimedia.org/wikipedia/commons/thumb/c/c4/Walt_Disney_envelope_ca._1921.jpg/220px-Walt_Disney_envelope_ca._1921.jpg\n", + "//upload.wikimedia.org/wikipedia/commons/thumb/0/0d/Trolley_Troubles_poster.jpg/170px-Trolley_Troubles_poster.jpg\n", + "//upload.wikimedia.org/wikipedia/en/thumb/4/4e/Steamboat-willie.jpg/170px-Steamboat-willie.jpg\n", + "//upload.wikimedia.org/wikipedia/commons/thumb/5/57/Walt_Disney_1935.jpg/170px-Walt_Disney_1935.jpg\n", + "//upload.wikimedia.org/wikipedia/commons/thumb/c/cd/Walt_Disney_Snow_white_1937_trailer_screenshot_%2813%29.jpg/220px-Walt_Disney_Snow_white_1937_trailer_screenshot_%2813%29.jpg\n", + 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"//upload.wikimedia.org/wikipedia/commons/thumb/1/1a/Magic_Kingdom_castle.jpg/15px-Magic_Kingdom_castle.jpg\n", + "//upload.wikimedia.org/wikipedia/en/thumb/e/e7/Video-x-generic.svg/19px-Video-x-generic.svg.png\n", + "//upload.wikimedia.org/wikipedia/commons/thumb/a/a3/Flag_of_Los_Angeles_County%2C_California.svg/21px-Flag_of_Los_Angeles_County%2C_California.svg.png\n", + "//upload.wikimedia.org/wikipedia/commons/thumb/8/8c/Blank_television_set.svg/21px-Blank_television_set.svg.png\n", + "//upload.wikimedia.org/wikipedia/en/thumb/a/a4/Flag_of_the_United_States.svg/21px-Flag_of_the_United_States.svg.png\n", + "//upload.wikimedia.org/wikipedia/en/thumb/4/4a/Commons-logo.svg/14px-Commons-logo.svg.png\n", + "//upload.wikimedia.org/wikipedia/commons/thumb/f/fa/Wikiquote-logo.svg/16px-Wikiquote-logo.svg.png\n", + "//upload.wikimedia.org/wikipedia/commons/thumb/4/4c/Wikisource-logo.svg/18px-Wikisource-logo.svg.png\n", + "//upload.wikimedia.org/wikipedia/commons/thumb/f/ff/Wikidata-logo.svg/21px-Wikidata-logo.svg.png\n", + "//upload.wikimedia.org/wikipedia/en/thumb/8/8a/OOjs_UI_icon_edit-ltr-progressive.svg/10px-OOjs_UI_icon_edit-ltr-progressive.svg.png\n", + "//en.wikipedia.org/wiki/Special:CentralAutoLogin/start?type=1x1\n" + ] + } + ], "source": [ - "# your code here" + "# your code here\n", + "response = requests.get(url)\n", + "soup = BeautifulSoup(response.content)\n", + "body = soup.find_all(\"div\", attrs = {\"id\": \"bodyContent\"})\n", + "image = body[0].find_all(\"img\")\n", + "for img in image:\n", + " print(img.get(\"src\"))\n", + "\n" ] }, { @@ -197,7 +4558,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 544, "metadata": {}, "outputs": [], "source": [ @@ -207,11 +4568,35 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 545, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "English 6 644 000\n", + "Русский 1 909 000\n", + "日本語 1 370 000\n", + "Deutsch 2 792 000\n", + "Español 1 854 000\n", + "Français 2 514 000\n", + "Italiano 1 806 000\n", + "中文 1 347 000\n", + "فارسی فارسی\n", + "Português 1 101 000\n" + ] + } + ], "source": [ - "# your code here" + "# your code here\n", + "response = requests.get(url)\n", + "soup = BeautifulSoup(response.content)\n", + "languages = soup.find_all(\"div\", attrs = {\"class\": \"central-featured-lang\"})\n", + "for item in languages:\n", + " languages = item.find(\"strong\").get_text().strip()\n", + " articles = item.find(\"bdi\").text.strip().split(\"+\")[0]\n", + " print(languages, articles)" ] }, { @@ -224,7 +4609,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 546, "metadata": {}, "outputs": [], "source": [ @@ -234,11 +4619,117 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 547, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + 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languagesspeakers
0Mandarin Chinese(incl. Standard Chinese, but e...939
1Spanish485
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3Hindi(excl. Urdu, and other languages)345
4Portuguese236
5Bengali234
6Russian147
7Japanese123
8Yue Chinese(incl. Cantonese)86
9Vietnamese85
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" + ], + "text/plain": [ + " languages speakers\n", + "0 Mandarin Chinese(incl. Standard Chinese, but e... 939\n", + "1 Spanish 485\n", + "2 English 380\n", + "3 Hindi(excl. Urdu, and other languages) 345\n", + "4 Portuguese 236\n", + "5 Bengali 234\n", + "6 Russian 147\n", + "7 Japanese 123\n", + "8 Yue Chinese(incl. Cantonese) 86\n", + "9 Vietnamese 85" + ] + }, + "execution_count": 547, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "# your code here" + "# your code here\n", + "table = pd.read_html(url) \n", + "df = table[0]\n", + "new_df = pd.DataFrame()\n", + "new_df[\"languages\"] = df.iloc[:, 0]\n", + "new_df[\"speakers\"] = df.iloc[:, 1].astype(int) \n", + "\n", + "new_df.head(10)" ] }, { @@ -251,7 +4742,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 515, "metadata": {}, "outputs": [], "source": [ @@ -261,11 +4752,178 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 615, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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titleyeardirectorstars
1Os Condenados de Shawshank1994Frank Darabont (dir.), Tim Robbins, Morgan Fre...9.2
2O Padrinho1972Francis Ford Coppola (dir.), Marlon Brando, Al...9.2
3O Cavaleiro das Trevas2008Christopher Nolan (dir.), Christian Bale, Heat...9.0
4O Padrinho: Parte II1974Francis Ford Coppola (dir.), Al Pacino, Robert...9.0
5Doze Homens em Fúria1957Sidney Lumet (dir.), Henry Fonda, Lee J. Cobb9.0
...............
246O Gigante de Ferro1999Brad Bird (dir.), Eli Marienthal, Harry Connic...8.0
247As Serviçais2011Tate Taylor (dir.), Viola Davis, Emma Stone8.0
248Aladdin1992Ron Clements (dir.), Scott Weinger, Robin Will...8.0
249Dersu Uzala - A Águia da Estepe1975Akira Kurosawa (dir.), Maksim Munzuk, Yuriy So...8.0
250Danças com Lobos1990Kevin Costner (dir.), Kevin Costner, Mary McDo...8.0
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250 rows × 4 columns

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" + ], + "text/plain": [ + " title year \\\n", + "1 Os Condenados de Shawshank 1994 \n", + "2 O Padrinho 1972 \n", + "3 O Cavaleiro das Trevas 2008 \n", + "4 O Padrinho: Parte II 1974 \n", + "5 Doze Homens em Fúria 1957 \n", + ".. ... ... \n", + "246 O Gigante de Ferro 1999 \n", + "247 As Serviçais 2011 \n", + "248 Aladdin 1992 \n", + "249 Dersu Uzala - A Águia da Estepe 1975 \n", + "250 Danças com Lobos 1990 \n", + "\n", + " director stars \n", + "1 Frank Darabont (dir.), Tim Robbins, Morgan Fre... 9.2 \n", + "2 Francis Ford Coppola (dir.), Marlon Brando, Al... 9.2 \n", + "3 Christopher Nolan (dir.), Christian Bale, Heat... 9.0 \n", + "4 Francis Ford Coppola (dir.), Al Pacino, Robert... 9.0 \n", + "5 Sidney Lumet (dir.), Henry Fonda, Lee J. Cobb 9.0 \n", + ".. ... ... \n", + "246 Brad Bird (dir.), Eli Marienthal, Harry Connic... 8.0 \n", + "247 Tate Taylor (dir.), Viola Davis, Emma Stone 8.0 \n", + "248 Ron Clements (dir.), Scott Weinger, Robin Will... 8.0 \n", + "249 Akira Kurosawa (dir.), Maksim Munzuk, Yuriy So... 8.0 \n", + "250 Kevin Costner (dir.), Kevin Costner, Mary McDo... 8.0 \n", + "\n", + "[250 rows x 4 columns]" + ] + }, + "execution_count": 615, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "# your code here" + "# your code here\n", + "response = requests.get(url)\n", + "soup = BeautifulSoup(response.content, 'html.parser')\n", + "\n", + "movies = soup.find_all('tr')\n", + "movie_dict = {}\n", + "i = 0\n", + "for movie in movies[1:]:\n", + " title_col = movie.find('td', class_='titleColumn')\n", + " title = title_col.a.get_text().strip()\n", + " year = title_col.find('span', attrs = {\"class\": 'secondaryInfo'}).get_text().strip('()')\n", + "\n", + " director = movie.find('td', attrs= {\"class\": 'titleColumn'}).a[\"title\"]\n", + " \n", + " \n", + " stars_col = movie.find('td', attrs = {\"class\": 'ratingColumn imdbRating'})\n", + " stars = stars_col.find('strong').get_text()\n", + " i+=1\n", + " movie_dict[i] = {\"title\":title, \"year\":year, \"director\":director, \"stars\":stars}\n", + "\n", + "\n", + "df = pd.DataFrame(movie_dict).T\n", + "df\n" ] }, { @@ -277,7 +4935,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 617, "metadata": {}, "outputs": [], "source": [ @@ -287,11 +4945,152 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 671, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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titleyearsummary
1Pesadelo em Elm Street1984Teenager Nancy Thompson must uncover the dark ...
2Despertares1990The victims of an encephalitis epidemic many y...
3Liga de Mulheres1992Two sisters join the first female professional...
4Um Bairro em Nova Iorque1993A father becomes worried when a local gangster...
5Anjos em Campo1994When a boy prays for a chance to have a family...
6Tempo de Matar1996In Clanton, Mississippi, a fearless young lawy...
7Amistad1997In 1839, the revolt of Mende captives aboard a...
8Anaconda1997A \"National Geographic\" film crew is taken hos...
9A Cool, Dry Place1998Russell, single father balances his work as a ...
10América Proibida1998A former neo-nazi skinhead tries to prevent hi...
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" + ], + "text/plain": [ + " title year \\\n", + "1 Pesadelo em Elm Street 1984 \n", + "2 Despertares 1990 \n", + "3 Liga de Mulheres 1992 \n", + "4 Um Bairro em Nova Iorque 1993 \n", + "5 Anjos em Campo 1994 \n", + "6 Tempo de Matar 1996 \n", + "7 Amistad 1997 \n", + "8 Anaconda 1997 \n", + "9 A Cool, Dry Place 1998 \n", + "10 América Proibida 1998 \n", + "\n", + " summary \n", + "1 Teenager Nancy Thompson must uncover the dark ... \n", + "2 The victims of an encephalitis epidemic many y... \n", + "3 Two sisters join the first female professional... \n", + "4 A father becomes worried when a local gangster... \n", + "5 When a boy prays for a chance to have a family... \n", + "6 In Clanton, Mississippi, a fearless young lawy... \n", + "7 In 1839, the revolt of Mende captives aboard a... \n", + "8 A \"National Geographic\" film crew is taken hos... \n", + "9 Russell, single father balances his work as a ... \n", + "10 A former neo-nazi skinhead tries to prevent hi... " + ] + }, + "execution_count": 671, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "# your code here" + "# your code here\n", + "response = requests.get(url)\n", + "soup = BeautifulSoup(response.content)\n", + "movies = soup.find_all(\"div\", attrs = {\"class\": \"lister-item-content\"})[0:10]\n", + "\n", + "random_dict = {}\n", + "i = 0\n", + "\n", + "for movie in movies:\n", + " \n", + " title = movie.h3.a.get_text()\n", + " year = movie.h3.find('span', class_='lister-item-year').get_text().strip('()')\n", + " summary = movie.find_all('p')[1].get_text().strip()\n", + " \n", + " i+=1\n", + " random_dict[i] = {\"title\": title, \"year\": year, \"summary\" : summary}\n", + " \n", + "df = pd.DataFrame(random_dict).T\n", + "df\n", + "\n" ] }, { @@ -395,7 +5194,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -409,7 +5208,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.7" + "version": "3.9.13" } }, "nbformat": 4,