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.
Practices With Dataframe, series,looking on values, droping, Split,Merge,join, concatenate, Pivot, Grouping, handling on missing value(to find null value & to fill null value with mean/mode/median/value in respect of groping.
- read_csv/excel/etc.file
- index/columns
- isnull()
- drop() / dropna()
- fillna()
- loc[]
- iloc[]
- groupby()
- value_counts()
- "&","|" ,Arithmetic, Comparison,logic, Assignment and sepcial opearator
- head()
- tail()
- info()
- shape
- describe()
- aggregate
- getdummies() - converting catgorical to numerical data