How do I read a large CSV file in Python?

How do I read a full CSV file in python?

Reading a CSV using Python's inbuilt module called csv using csv.1Import the csv library. import csv.2Open the CSV file. The . ... 3Use the csv.reader object to read the CSV file. csvreader = csv.reader(file)4Extract the field names. Create an empty list called header. ... 5Extract the rows/records. ... 6Close the file.

How do I read a large CSV file?

How to Open Really Large Text and CSV Files1Method #1: Using Free Editors. The best way to view extremely large text files is to use… a text editor. ... 2Method #2: Split Into Multiple Parts. ... 3Method #3: Import Into a Database. ... 4Method #4: Analyze With Python Libraries. ... 5Method #5: With Premium Tools.

How do I read a large file in python?

Python fastest way to read a large text file (several GB)1# File: readline-example-3.py.2file = open("sample.txt")3while 1:4lines = file.readlines(100000)5if not lines:6break.7for line in lines:8pass # do something**strong text**

How do I read a CSV file in chunks?

To read large CSV files in chunks in Pandas, use the read_csv(~) method and specify the chunksize parameter. This is particularly useful if you are facing a MemoryError when trying to read in the whole DataFrame at once.