CSV stands for comma-separated values. A CSV file can be opened in Google Sheets or Excel and will be formatted as a spreadsheet. However, a CSV file is actually a plain-text file. It can also be opened with a text editor program such as Atom. In this article, we are going to see how to sort a CSV object by dates in Python
CSVs give us a good, simple way to organize data without using a database program. It’s easy to read from and write to CSV files with Python.
Steps to Read a CSV file
Step 1: In the first step to read a CSV you need to find the file.
Step 2: Import pandas library
The pandas library is exported by using import keyword and object as pd which is a standard notation for pandas library.
Step 3: Read the CSV file by using pandas library and assign it to a variable.
The csv file ‘data.csv’ is loaded by using read_csv method present in the pandas library and stored in the variable named ‘data’ and now this variable is called a dataframe.
Step 4: Display the first 5 rows of the data by using head function.
The ‘.head()’ method is used to print the first 5 rows and ‘.tail()’ method is used to print the last 5 rows of the data file.
Steps to sort the Data by Dates
Step 1: Convert the Date column into required date time format
You can use the parameter infer_datetime_format. Example with your sample data below:
Step 2: Use the sort_values method and giving parameter as date we sort the values by date. To get the sorted while use head function to get first 5 rows of dataInput:
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