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Data Handling using Pandas -1

Informatics PracticesClass XII ( Asper CBSEB oard)Chapter 1 data Handling using Pandas -1 New syllabus 2020-21 Visit : for regularupdatesVisit : for regularupdatesData Handling usingPandas -1 Visit : for regularupdatesVisit : for regularupdatesPythonLibrary MatplotlibMatplotlibisacomprehensivelibr aryforcreatingstatic,animated, Developpublication quality plotswith just a few lines of code2. Useinteractive figuresthat can zoom, pan, can customize and Take full controlof line styles, font properties, axes as well as export and embedto a number of file formats and interactive environmentsVisit : for regularupdatesData Handling usingPandas -1 Visit : for regularupdatesVisit : for regularupdatesPythonLibrary PandasItisamostfamousPythonpackagefordat ascience, : for regularupdatesBasic Features object help a lot in keeping track of a Pandas dataframe, we can have different data types (float, int, string, datetime, etc) all in one has built in functionality for like easy grouping & easy joins of data , IO capabilities.

5. With pandas, you can use patsy for R-style syntax in doing regressions. 6. Tools for loading data into in-memory data objects from different file formats. 7. Data alignment and integrated handling of missing data. 8. Reshaping and pivoting of data sets. 9. Label-based slicing, indexing and subsetting of large data sets. Data Handling using ...

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