Applied Data Science Coding Recipe in Python: How to Load Data From a csv

Loading data from a CSV (Comma Separated Values) file is a common task in data analysis and machine learning. CSV files are a simple and standardized format for storing data, which can be easily read and written by various programming languages and tools.

To load data from a CSV file, you can use various libraries and functions in Python, depending on the specific task and the desired output.

The most common way to load data from a CSV file in Python is using the pandas.read_csv() function from the Pandas library. This function allows you to specify the file path and the delimiter used in the CSV file. You can also specify the data type of the columns, the names of the columns, and any missing values. Once the data is loaded, it will be stored in a Pandas DataFrame, which is a powerful data structure that allows you to perform various operations on the data, such as filtering, sorting, group by, and merge/join operations.

Another way to load data from a CSV file in Python is using the numpy.genfromtxt() function from the Numpy library. This function allows you to specify the file path and the delimiter used in the CSV file. You can also specify the data type of the columns and any missing values. Once the data is loaded, it will be stored in a Numpy array, which is a powerful data structure that allows you to perform various operations on the data, such as mathematical calculations, sorting, and indexing.

In summary, Loading data from a CSV file is a common task in data analysis and machine learning. The most common way to load data from a CSV file in Python is using the pandas.read_csv() function from the Pandas library, which loads the data and store it in a Pandas DataFrame, and another way is using the numpy.genfromtxt() function from the Numpy library, which loads the data and store it in a Numpy array. Both libraries are powerful and have specific use cases.

In this Applied Machine Learning Recipe, the reader will learn: How to Load Data From a csv.