Whether you choose to use a command-line tool like jq, a programming language like Python, or an online converter, the result will be a CSV file that’s easier to work with for data analysis tasks. ConclusionĬonverting text files to CSV format can be done in various ways, depending on your preference and the tools available to you. These tools allow you to upload your file and convert it to CSV format directly in your browser. If you prefer a web-based solution, you can use online converters like Convert JSON to CSV or JSON to CSV Converter. Note: You can download Python from the official website. It writes the data to a CSV file using the csv.DictWriter class.It extracts the keys from the first object to use as column names in the CSV file.It reads the text file line by line, parses each line as JSON, and stores the parsed data in a list.Writer = csv.DictWriter(file, fieldnames=keys) With open('output.csv', 'w', newline='') as file: Here’s a Python script that reads a text file and writes it to a CSV file: import jsonĭata = Python is a versatile language with built-in support for CSV file manipulation. Note: You can install jq from the official website. input.txt > output.csv: Reads from input.txt and writes the result to output.csv.$keys, map( ]]): Creates an array for each object, with the values corresponding to the keys in $keys.keys_unsorted as $keys: Extracts the keys from the first object in the input and assigns them to the variable $keys.jq -r: Runs jq in raw output mode, which means the output will be plain text instead of JSON-encoded.Here’s a sample command: jq -r 'keys_unsorted as $keys | $keys, map( ]]) | input.txt > output.csv It can parse and transform JSON-like data into other formats, including CSV. Convert to CSV by clicking the 'Convert' button. The jq tool is a powerful command-line JSON processor. How to Convert to CSV Click the Choose Files button to select your files. On the other hand, CSV files are widely supported by data analysis tools and libraries, making them a more convenient choice for data manipulation tasks. Text files are a common format for data storage, but they can be difficult to work with for complex data analysis. In computing, a comma-separated values (CSV) file stores tabular data (numbers and text) in plain text. Such files can be viewed and edited on text terminals or in simple text editors. Each line in the CSV file corresponds to a row in the table, and each field (column) in the table is separated by a comma. The name text file refers to a file format that allows only plain text content with very little formatting (e.g., no bold or italic types). It is a simple file format used to store tabular data, such as a spreadsheet or database.
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