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Pandas is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool,
built on top of the Python programming language.
if you Know about in Pandas
In the Pandas Moslty Use DataFrame
and Series
.
Pandas is designed to simplify and speed up data manipulation tasks by providing easy-to-use methods that can operate on both small and large datasets efficiently.
Key Concepts
Handling Missing Data
Data Wrangling
Vectorized Operations
Time Series Support
Input and Output
Memory-efficient
Indexing and Selection
Data Structures In Pandas
Series
Series is a One Dimesional Array,similler to table row.
Each Values are associated by index
or lable
.
DataFrame
DataFrame is Two Dimesional Array,similler to table.
It consists of multiple Series, where each column in the DataFrame is a Series
the index is used to label the rows.