### THE DATA  mun_dict = {     '@CityofCTAlerts' : 'Cape Town',     '@CityPowerJhb' : 'Johannesburg',     '@eThekwiniM' : 'eThekwini' ,     '@EMMInfo' : 'Ekurhuleni',     '@centlecutility' : 'Mangaung',     '@NMBmunicipality' : 'Nelson Mandela Bay',     '@CityTshwane' : 'Tshwane' } twitter_url = 'https://raw.githubusercontent.com/Explore-AI/Public-Data/master/Data/twitter_nov_2019.csv' twitter_df = pd.read_csv(twitter_url) twitter_df.head() ### QUESTION Municipality & Hashtag Detector Write a function which takes in a pandas dataframe and returns a modified dataframe that includes two new columns that contain information about the municipality and hashtag of the tweet. Function Specifications: Function should take a pandas dataframe as input. Extract the municipality from a tweet using the mun_dict dictonary given at the start of the notebook and insert the result into a new column named 'municipality' in the same dataframe. Use the entry np.nan when a municipality is not found. Extract a list of hashtags from a tweet into a new column named 'hashtags' in the same dataframe. Use the entry np.nan when no hashtags are found. Hint: you will need to mun_dict variable defined at the top of this notebook.

EBK JAVA PROGRAMMING
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ISBN:9781337671385
Author:FARRELL
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Chapter8: Arrays
Section: Chapter Questions
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### THE DATA 

mun_dict = {
    '@CityofCTAlerts' : 'Cape Town',
    '@CityPowerJhb' : 'Johannesburg',
    '@eThekwiniM' : 'eThekwini' ,
    '@EMMInfo' : 'Ekurhuleni',
    '@centlecutility' : 'Mangaung',
    '@NMBmunicipality' : 'Nelson Mandela Bay',
    '@CityTshwane' : 'Tshwane'
}

twitter_url = 'https://raw.githubusercontent.com/Explore-AI/Public-Data/master/Data/twitter_nov_2019.csv'
twitter_df = pd.read_csv(twitter_url)
twitter_df.head()

### QUESTION

Municipality & Hashtag Detector

Write a function which takes in a pandas dataframe and returns a modified dataframe that includes two new columns that contain information about the municipality and hashtag of the tweet.

Function Specifications:

  • Function should take a pandas dataframe as input.
  • Extract the municipality from a tweet using the mun_dict dictonary given at the start of the notebook and insert the result into a new column named 'municipality' in the same dataframe.
  • Use the entry np.nan when a municipality is not found.
  • Extract a list of hashtags from a tweet into a new column named 'hashtags' in the same dataframe.
  • Use the entry np.nan when no hashtags are found.

Hint: you will need to mun_dict variable defined at the top of this notebook.

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