How to Convert CSV to JSON Array in Python?.Data is exchanged between computers that are linked via the Internet. While many programs use JSON for data transfer, they may not keep JSON format files on their hard drive. Over the last few years, the popularity of JSON as an alternative to XML has gradually increased. In most cases, JSON is used in Ajax Web Application Programming. It is, nevertheless, referred to as a language-independent format, and it is supported by a wide range of programming APIs. JSON format was actually based on a subset of JavaScript. To make up the whole dataset, all of these records are kept as dictionaries in a nested dictionary. Every record (or row) is preserved as its own dictionary, with the column names serving as the dictionary’s Keys. The resulting data is easily readable by humans and may be seen using a text editor like Notepad or a spreadsheet program like Microsoft Excel or Google Sheets.Ĭonvert json to csv python: JSON (JavaScript Object Notation) is a dictionary-like notation that may be utilized in Python by importing the JSON module. CSV files are constructed in such a way that they may simply import and export data from other applications. The plan is to export complex data from one program to a CSV file and then import the data from the CSV file into another program.Ī Comma Separated Values (CSV) file has a simple structure that contains some data that is listed and separated by commas. However, other characters, such as semicolons, are sometimes used. These files primarily use the comma character to delimit or segregate data. These CSV files are also known as Comma Separated Values or Comma Delimited Files. Contact Managers and Databases, for example, typically support CSV files. CSV files are commonly used to exchange data between different applications. Gender_unknown = meetupĬsv_writer.Python convert json to csv: A CSV file, which stands for Comma Separated Values file, is a simple text file that maintains a list of data. import jsonĭata_to_file = open(output_file, 'w', newline='')Ĭsv_writer = csv.writer(data_to_file, delimiter=" ")Ĭsv_writer.writerow() The JSON was too nestled and complex to parse, so now I just read the fields I need from the data. If anyone else has the same problem, I solved it, not very elegantly, but I needed the data. Therefore, the description of the value should be listed just once, as a header, and the values listed beneath (new lines and pipes indicating a new field of a csv sheet): RSVPs_per_event | Organizer | ID I get multiple Meetup groups in the reply, all having the same structure as shown above. Any help is really appreciated, and it would be great if it was Python3 compatible.Įdit: What I would like it to look like in the end: However, if I don't write it as a list, I only get the fields of the JSON object, without the data, so it would just be 'Organizers', 'Name' etc, without the actual name.Īs I said, I am a python beginner and haven't found any libraries to help me with it, but I'm sure they exist.
So basically, the whole JSON object in a single CSV field, with weird 'u's, in lists and so on. This leads to a really ugly output, looking like this (again, the values in caps are anonymized): Now, as you can see, I write into the CSV as a list.
My code, anonymized: import jsonĭata = requests.get(url_path, params=params) Getting the data is not a problem, but I can't seem to parse the JSON object into a proper CSV file. I've never worked with JSON or Python, so I've run into some issues. I need to get some data from the Meetup API, convert the JSON I get into a CSV, all of that in Python 3.
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