kipronokoech

from selenium import webdriver
from selenium.webdriver.common.keys import Keys
import time
import pandas as pd
import numpy as np
import re


# Scrape one category # Travel

kipronokoech

for c in range(1,11):
	print("http://books.toscrape.com/catalogue/category/books_1/page-{}.html".format(c))

kipronokoech

from selenium import webdriver
from selenium.webdriver.common.keys import Keys
import time
import pandas as pd
import numpy as np
import re


def StarConversion(value):

kipronokoech

from selenium import webdriver
from selenium.webdriver.common.keys import Keys
import time
import pandas as pd
import numpy as np
import re


#Set up the path to the chrome driver
PATH = "/home/kiprono/chromedriver"

kipronokoech

multiple_elements = driver.find_elements_by_class_name("container1")
for element in multiple_elements:
	print(element.text)

kipronokoech

from selenium import webdriver
import time

PATH = "./chromedriver"
driver = webdriver.Chrome(PATH)
driver.get(url="file:///home/kiprono/Desktop/untitled.html")
print("Element identified by id:",driver.find_element_by_id("JDCf").text)
print("Element identified by class:",driver.find_element_by_class_name("container1").text)
print("Element identified by class:",driver.find_element_by_class_name("col4").text)
print("Element identified by tag name:",driver.find_element_by_tag_name("h1").text)

kipronokoech

from selenium import webdriver
import time

PATH = "./chromedriver"
driver = webdriver.Chrome(PATH)
driver.get(url="file:///home/kiprono/Desktop/untitled.html")
time.sleep(5)
driver.close()

kipronokoech

#most common words
print("Most Common emojis used (Me)")
common_emojis_me = Counter(myself_emojis).most_common()
common_emojis_her = Counter(mylove_emojis).most_common()
emojis_me = []
count_me = []
for index, item in enumerate(common_emojis_me):
    if index == 5:
        break
    print(item)

kipronokoech

import emoji

def extract_emojis(str):
    return ''.join(c for c in str if c in emoji.UNICODE_EMOJI)
  
mylove_emojis = []
myself_emojis = []
for i in range(len(df)):
    if "My Wife, I LOVE YOU" in df.at[i,"Sender"]:
        message = df.at[i,"Message"]

kipronokoech

# Her most common words
common_her = pd.DataFrame(common_count_her,mylove_common,columns=["Her"]).sort_values(by="Her")
plt.figure(figsize=(8,6))
plt.barh(common_her.index, common_her["Her"], align='center', alpha=0.8,color="pink")
plt.yticks(mylove_common,mylove_common)
plt.xlabel('Words')
plt.title('Most Used Words(My Love)')
plt.show()

# Words I commonly used