Data Analysis Using Pandas

PANDAS

• Panda is a python library that is used for data analysis. We can analyze data in pandas with series and data frames.
• Pandas is a tool that provides a more streamlined way of working with numerical and tabular data in Python.
• Pandas is useful to increase their effectiveness at data analysis without getting lost in the syntax.

SERIES

• Series is a one-dimensional array defined in pandas that can be used to store any data type.
• Data can be in scalar value in this integer, string or Ndarray format.
• Index by default start from 0, 1, 2, …(n-1) where n is the length of data.

EXAMPLE: Creating an index with the default index value

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Creating an index with a predefined index value

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Program to create ndarray Series

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DATA FRAMES

• Dataframes is a two-dimensional data structure defined in pandas that consists of rows and columns.
• In the Data-frames data can be in one or more dictionaries or one or more Series.

EXAMPLE: Program to create data frames with two dictionaries

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