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Pandas: How to Read and Write Files

To read a CSV file and write using pandas in Python, you can use the pandas library. Here's an example that demonstrates how to do it:

import pandas as pd

# Read the CSV file
df = pd.read_csv('input.csv')

# Perform any necessary data manipulation or analysis# ...# Write the modified DataFrame to a new CSV file
df.to_csv('output.csv', index=False)

In this example, we first import the pandas library as pd. Then, we use the read_csv function to read the contents of the input.csv file into a DataFrame called df.

After reading the CSV file, you can perform any required data manipulation or analysis on the DataFrame.

Finally, the modified DataFrame is saved to a new CSV file called output.csv using the to_csv function. The index=False argument ensures that the index column is not included in the output CSV file.

Make sure to replace 'input.csv' and 'output.csv' with the actual file paths and names you want to use.

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