Importing the Dataset | Indian Food Project

Course Content

Indian Food Project

Python in general supports many type of raw files and sources through libraries like pandas.

Pandas has many helpful read_filetype() functions to handle many file types, for example:

read_csv() read_excel() read_json() read_html() read_sql() read_pickle()

Note
See docs for detailed info: https://pandas.pydata.org/pandas-docs/stable/user_guide/io.html

In our example, the training data is in csv format and is stored in "/kaggle/input/indian-food-101/indian_food.csv". We will use read_csv() function, it accepts a filepath parameter.

The output is a DataFrame called IndianFoods.

Task

Creating a DataFrame from file.

Task

Creating a DataFrame from file.

DataFrame

Pandas specific Data structure, to store data in tabular format;
Looks similar to SQL table;
Has a lot of associated functions, similar to table-level commands in SQL (SELECT, SUM etc);
Stored in memory (RAM). In comparision, SQL tables are stored on hard-disk and pulled into memory while running commands.

Mark tasks as Completed

Switch to desktop for real-world practiceContinue from where you are using one of the options below

Everything was clear?

Python in general supports many type of raw files and sources through libraries like pandas.

Pandas has many helpful read_filetype() functions to handle many file types, for example:

read_csv() read_excel() read_json() read_html() read_sql() read_pickle()

Note
See docs for detailed info: https://pandas.pydata.org/pandas-docs/stable/user_guide/io.html

In our example, the training data is in csv format and is stored in "/kaggle/input/indian-food-101/indian_food.csv". We will use read_csv() function, it accepts a filepath parameter.

The output is a DataFrame called IndianFoods.

Task

Creating a DataFrame from file.

DataFrame

Pandas specific Data structure, to store data in tabular format;
Looks similar to SQL table;
Has a lot of associated functions, similar to table-level commands in SQL (SELECT, SUM etc);
Stored in memory (RAM). In comparision, SQL tables are stored on hard-disk and pulled into memory while running commands.

Mark tasks as Completed

Switch to desktop for real-world practiceContinue from where you are using one of the options below

Section 1. Chapter 1

AVAILABLE TO ULTIMATE ONLY