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  1. I want to write a Python script that reads in an Excel spreadsheet and saves some of its worksheets as CSV files. How can I do this? I have found third-party modules for reading and writing Excel files from Python, but as far as I can tell, they can only save files in Excel (i.e. *.xls) format.

  2. import csv import collections with open('file.csv', 'rb') as f: data = list(csv.reader(f)) counter = collections.defaultdict(int) for row in data: counter[row[0]] += 1 writer = csv.writer(open("file1.csv", 'w')) for row in data: if counter[row[0]] >= 1: writer.writerow(row)

  3. 13 mar 2023 · Pandas can read, filter, and re-arrange small and large datasets and output them in a range of formats including Excel. In this article, we will be dealing with the conversion of .csv file into excel (.xlsx). Pandas provide the ExcelWriter class for writing data frame objects to excel sheets.

  4. 28 lut 2024 · Method 1: Using pandas DataFrame. This method involves the pandas library, which provides a powerful DataFrame object for data manipulation. The read_excel() function reads the Excel file into a DataFrame, and the to_csv() function then exports the DataFrame to a CSV file.

  5. 24 mar 2023 · The .to_csv() method is a built-in function in Pandas that allows you to save a Pandas DataFrame as a CSV file. This method exports the DataFrame into a comma-separated values (CSV) file, which is a simple and widely used format for storing tabular data.

  6. 2 lut 2024 · There are four main methods that can be used to write data to an Excel file in Python, the DataFrame.to_excel() method, the xlwt library, the openpyxl library, and the XlsWriter library.

  7. 29 kwi 2023 · To create and save data to a CSV file in Python, use the built-in ‘csv’ module. There are two main classes, ‘csv.writer’ and ‘csv.DictWriter’, which help create and write data into CSV files.

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