![]() It can easily extract the data from various data forms like txt, csv, excel and present it in a tabular (dataframe) form.It provides series and dataframes for handling one-dimensional and multi-dimensional data.It works smoothly and efficiently with time series data.It can be used to easily manipulate the data using functions like merge, concatenate or reshape.It is faster and provides a highly optimized performance as it is built on the top of numpy.It handles the missing data very efficiently and easily. ![]() Python Pandas is derived from the term “panel data”, an econometrics term for data sets that include observations over multiple time periods for the same individuals ( wikipedia).ĭata scientists love to use python pandas for data analysis because:. ![]() ![]() Python Pandas is also used for timeseries data analysis. Python Pandas or Python Data Analysis Library is an open-source library which provides high-performance, easy-to-use data structures and data analysis tools for the Python programming language. Table of Contents Python Pandas Tutorial - Introduction ![]()
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