Rauf-Kurbanov

import streamlit as st
import numpy as np
import pandas as pd
import plotly.express as px
import plotly.graph_objects as go

# Set page title
st.title('Product Metrics vs Price Demo')

# Generate random data

Rauf-Kurbanov

import google
from google.ads.googleads.client import GoogleAdsClient

# Load client configuration from `google-ads.yaml` file.
client = GoogleAdsClient.load_from_storage("google-ads.yaml")


# Initialize the Google Ads API service client.
google_ads_service = client.get_service("GoogleAdsService")

Rauf-Kurbanov

setwd('/home/rauf/Programs/DM_Labs/day_4')
require(igraph)

path <- "vk_data/adj/egonet_755.txt"
a<-read.table(path, sep=' ', dec = ' ', header = T)

#directed - T or F - в зависимости от значения, 
#при Т - создает направленный граф, при F - ненаправленный 
a.network <- graph.data.frame(a, directed = F)
a.network <- simplify(a.network)