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# -*- coding: utf-8 -*- | |
import dash | |
import dash_core_components as dcc | |
import dash_html_components as html | |
external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css'] | |
app = dash.Dash(__name__, external_stylesheets=external_stylesheets) | |
app.layout = html.Div(children=[ |
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# -*- coding: utf-8 -*- | |
import dash | |
import dash_core_components as dcc | |
import dash_html_components as html | |
import pandas as pd | |
df = pd.read_csv("https://allatambov.github.io/pydj/seminars/wgi-new.csv") | |
tab = df["fh_type"].value_counts() | |
external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css'] |
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import dash | |
import dash_core_components as dcc | |
import dash_html_components as html | |
from dash.dependencies import Input, Output | |
import pandas as pd | |
df = pd.read_csv("https://allatambov.github.io/pydj/seminars/wgi-new.csv") | |
tab = df["fh_type"].value_counts() | |
external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css'] |
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# если не установлен selenium, его необходимо установить | |
# см. здесь: https://nbviewer.jupyter.org/github/PyBasics-19/py-basics-19/blob/master/lectures/lect-selenium-1.ipynb | |
# импортируем | |
from selenium import webdriver as wb | |
# ссылка на сайт с документами | |
link = "https://hudoc.echr.coe.int/eng#{%22documentcollectionid2%22:[%22GRANDCHAMBER%22,%22CHAMBER%22]}" | |
# подгружаем драйвер для Chrome |
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# создаем выборку | |
x <- c(2, 5, 7, 8, 1, 0, 8, 12, 6, 27) | |
x | |
# находим число элементов в ней | |
length(x) | |
# минимум, максимум, среднее, медиана | |
min(x) | |
max(x) |
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wgi <- read.csv("https://allatambov.github.io/rprog/data/wgi-new.csv") | |
library(tidyverse) | |
ggplot(data = wgi, aes(x = va, y = rl)) + geom_point(color = "navy") + | |
labs(x = 'Voice & Accountability', | |
y = 'Rule of Law') + | |
stat_ellipse(color = "red") |
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# | |
# This is a Shiny web application. You can run the application by clicking | |
# the 'Run App' button above. | |
# | |
# Find out more about building applications with Shiny here: | |
# | |
# http://shiny.rstudio.com/ | |
# | |
library(shiny) |
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import requests | |
from bs4 import BeautifulSoup | |
url = "https://nplus1.ru/" | |
page = requests.get(url) | |
soup = BeautifulSoup(page.text, 'lxml') | |
urls = [] | |
for link in soup.find_all('a'): | |
if '/news' in link.get('href'): | |
urls.append(link.get('href')) |
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def get_info(url0): | |
page0 = requests.get(url0) | |
soup0 = BeautifulSoup(page0.text) | |
author = soup0.find_all('meta', {'name' : 'author'})[0]['content'] | |
title = soup0.find_all('meta', {'property' : 'og:title'})[0]['content'] | |
description = soup0.find_all('meta', | |
{'property' : 'og:description'})[0]['content'] | |
date = soup0.find_all('meta', {'itemprop':'datePublished'})[0]['content'] | |
rubrics = [] | |
for r in soup0.find_all('p', {'class' : 'table'})[0].find_all('a'): |
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install.packages("rgdal") | |
install.packages("RColorBrewer") | |
install.packages("classInt") | |
library(rgdal) | |
library(RColorBrewer) | |
library(classInt) | |
library(tidyverse) | |
setwd("/Users/allat/Desktop/gadm36_RUS_shp/") |