Chris

Python Append Row to CSV To append a row (=dictionary) to an existing CSV, open the file object in append mode using open(‘my_file.csv’, ‘a’, newline=”). Then create a csv.DictWriter() to append a dict row using DictWriter.writerow(my_dict). Given the following file ‘my_file.csv’: You can append a row (dict) to the CSV file via this code snippet: … Read more

Method 1: CSV Writer To write a Python dictionary in a CSV file as a column, i.e., a single (key, value) pair per row, use the following three steps: Open the file in writing mode and using the newline=” argument to prevent blank lines. Create a CSV writer object. Iterate over the (key, value) pairs … Read more

To convert a Python dictionary to a CSV file with header, call the csv.DictWriter(fileobject, fieldnames) method. Use the resulting writer object’s writer.writeheader() method without argument to write the header. This writes the list of column names passed as fieldnames, e.g., the dictionary keys obtained via dict.keys(). After writing the header, you can then call the … Read more

Background 💡 A dBase database file (DBF) is a database file format with the .dbf file extension used by various applications and database systems. 💡 A comma-separated values (CSV) file is a text file that uses a comma to separate fields of a data record (=line). Problem Formulation Given a .dbf file my_db.dbf. How to … Read more

To convert a compressed CSV file (.csv.gz) to a CSV file (.csv) and read it in your Python shell, use the gzip.open(filename, ‘rt’, newline=”) function call to open the gzipped file, the file.read() function to read its contents, and the file.write() function to write the CSV in a normal (unzipped) file. The gzip.open() function has … Read more