Pandas Package Lecture Notes

A set of flashcards covering key concepts, definitions, and commands related to the Pandas package in Python.

Pandas

A powerful open-source Python library built on top of NumPy that provides data analysis features.

Series

A one-dimensional array-like object in pandas that contains an array of data with associated indexes.

DataFrame

A two-dimensional data structure in pandas that consists of rows and columns.

pip install pandas

The command to install the pandas package in Python.

Indexing in Series

Accessing elements by their index in a pandas Series, similar to a numpy array.

iloc

A method used to select elements in a DataFrame or Series by row and column integer indices.

loc

A method used to select elements in a DataFrame or Series by row indices or column labels.

NaN

Denotes a missing value in a pandas Series.

Common data types in DataFrame

Typically includes integer, float, or string for different columns.

Comparison operators

Symbols used to compare two values, such as ==, !=, >, >=, <, and <=.

Logical operators

Used to combine conditions, includes &, |, and ~.

Subsetting Data

Choosing specific rows and columns from a DataFrame based on conditions.

Shape of DataFrame

Represents the dimensions of a DataFrame in terms of rows and columns.

Mathematical operations in Pandas

Operations performed on pandas Series such as addition, subtraction, multiplication, and division.

Creating Series

The method of creating a pandas Series using pd.Series() with data and index.

Printable DataFrame

Creating a DataFrame object and displaying its contents using print().