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This code defines a Luigi task to generate a random DataFrame and save it as a CSV file.
Technology Stack : Luigi, Pandas, NumPy
Code Type : The type of code
Code Difficulty : Advanced
import random
import luigi
import pandas as pd
import numpy as np
def random_data_processing():
# Define a simple function to generate a random DataFrame with some operations
def generate_random_dataframe(rows, cols):
data = np.random.rand(rows, cols)
df = pd.DataFrame(data)
df.columns = [f'Column_{i}' for i in range(cols)]
return df
# Define a Luigi task to process the random data
class RandomDataProcessingTask(luigi.Task):
def output(self):
return luigi.LocalTarget('random_data.csv')
def run(self):
# Generate a random DataFrame
df = generate_random_dataframe(100, 5)
# Save the DataFrame to a CSV file
df.to_csv(self.output().path, index=False)
# Instantiate the task and run it
task = RandomDataProcessingTask()
luigi.run([task])