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Functions In Python
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    • Python Data Science Toolbox

    Run the hidden code cell below to import the data used in this course.

    # Import the course packages
import pandas as pd
from functools import reduce

# Import the dataset
tweets = pd.read_csv('datasets/tweets.csv')

    Explore Datasets

    Use the DataFrame imported in the first cell to explore the data and practice your skills!

    • Write a function that takes a timestamp (see column timestamp_ms) and returns the text of any tweet published at that timestamp. Additionally, make it so that users can pass column names as flexible arguments (*args) so that the function can print out any other columns users want to see.
    • In a filter() call, write a lambda function to return tweets created on a Tuesday. Tip: look at the first three characters of the created_at column.
    • Make sure to add error handling on the functions you've created!
    tweets.head()
    def get_tweet_by_timestamp(timestamp, *args):
    try:
        # Filter the DataFrame for the given timestamp
        tweet_row = tweets[tweets['timestamp_ms'] == timestamp]
        
        # Check if any tweet exists for the given timestamp
        if tweet_row.empty:
            return "No tweet found for the given timestamp."
        
        # Get the text of the tweet
        tweet_text = tweet_row['text'].values[0]
        
        # Prepare the result dictionary
        result = {'text': tweet_text}
        
        # Add any additional columns requested
        for arg in args:
            if arg in tweets.columns:
                result[arg] = tweet_row[arg].values[0]
            else:
                result[arg] = "Column not found"
        
        return result
    
    except Exception as e:
        return f"An error occurred: {e}"
    get_tweet_by_timestamp(1234567890, 'created_at', 'user')
    import pandas as pd

# Function to check if a tweet was created on a Tuesday
def is_tuesday(created_at):
    try:
        return created_at[:3] == 'Tue'
    except Exception as e:
        return False

# Apply the filter to get tweets created on a Tuesday
tuesday_tweets = tweets[tweets['created_at'].apply(lambda x: is_tuesday(x))]

tuesday_tweets.head()