Pandas: Extract hash attached word from twitter text from the specified column of a given DataFrame
Pandas: String and Regular Expression Exercise-25 with Solution
Write a Pandas program to extract hash attached word from twitter text from the specified column of a given DataFrame.
Sample Solution:
Python Code :
import pandas as pd
import re as re
pd.set_option('display.max_columns', 10)
df = pd.DataFrame({
'tweets': ['#Obama says goodbye','Retweets for #cash','A political endorsement in #Indonesia', '1 dog = many #retweets', 'Just a simple #egg']
})
print("Original DataFrame:")
print(df)
def find_hash(text):
hword=re.findall(r'(?<=#)\w+',text)
return " ".join(hword)
df['hash_word']=df['tweets'].apply(lambda x: find_hash(x))
print("\Extracting#@word from dataframe columns:")
print(df)
Sample Output:
Original DataFrame: tweets 0 #Obama says goodbye 1 Retweets for #cash 2 A political endorsement in #Indonesia 3 1 dog = many #retweets 4 Just a simple #egg \Extracting#@word from dataframe columns: tweets hash_word 0 #Obama says goodbye Obama 1 Retweets for #cash cash 2 A political endorsement in #Indonesia Indonesia 3 1 dog = many #retweets retweets 4 Just a simple #egg egg
Python Code Editor:
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Next: Write a Pandas program to extract word mention someone in tweets using @ from the specified column of a given DataFrame.
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Python: Tips of the Day
Python: Time library
Time library provides lots of time related functions and methods and is good to know whether you're developing a website or apps and games or working with data science or trading financial markets. Time is essential in most development pursuits and Python's standard time library comes very handy for that.
Let's check out a few simple examples:
moment=time.strftime("%Y-%b-%d__%H_%M_%S",time.localtime())
import time time_now=time.strftime("%H:%M:%S",time.localtime()) print(time_now) date_now=time.strftime("%Y-%b-%d",time.localtime()) print(date_now)
Output:
11:36:34 2020-Nov-30
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