Pandas yes Python An extension library of language , For data analysis .
Pandas Is an open source 、BSD Licensed Libraries , Provide high performance 、 Easy to use data structures and data analysis tools .
Pandas The name derives from the term "panel data"（ Panel data ） and "Python data analysis"（Python Data analysis ）.
Pandas A powerful tool set for analyzing structured data , The foundation is Numpy（ Provide high-performance matrix operation ）.
Pandas From various file formats, such as CSV、JSON、SQL、Microsoft Excel Import data .
Pandas It can operate on various data , Like merging 、 Reshape 、 choice , There are also data cleaning and data processing features .
Pandas Widely used in academic 、 finance 、 Statistics and other data analysis fields .
Before learning this tutorial, you need to know
I'm learning Pandas Before the tutorial , We need to have basic Python Basics , If you are right Python I don't know yet , You can read our tutorial ：
Pandas The main data structure is Series （ One dimensional data ） And DataFrame（ Two dimensional data ）, These two data structures are sufficient to handle financial 、 Statistics 、 social sciences 、 Most typical use cases in engineering and other fields .
Series Is an object similar to a one-dimensional array , It consists of a set of data （ various Numpy Data type ） And a set of related data tags （ Index ） form .
DataFrame Is a tabular data structure , It contains a set of ordered Columns , Each column can be a different value type （ Values 、 character string 、 Boolean value ）.DataFrame There are both row and column indexes , It can be seen by Series A dictionary （ Share an index ）.