Machine learning(All about pandas module)

                        Machine learning

Topic to be covered:-

1. introduction to pandas

2. Why to use pandas..?

3. Reading a spreadsheet(csv and excel)

4. what is data frame and it's operations..?

5. indexing/selection in data frame

6. Column selection,addition and deletion

7.Sub setting in data frame

8. Exporting Data Frame to spreadsheet(csv and  excel)

1. Introduction to pandas:-

pandas is power full python data analysis toolkit for reading,filtering,manipulating, Visualizing and exporting data.

2. Why to use pandas.....?

wide range of functionalities such as

1. Reading different varieties of data

 i.e CSV , Execel , Json

2.functions for filtering selecting and manipulating data

3.Plotting data for visualization and exploration proces

3. Reading a spread sheet(csv and excel) file

        pandas can read data from different files

        file                                Reader

       1. csv                            read_csv

       2. Json                          read_json

       3.Msexcel                    read_excel

and many more files

   #commands....!

   1.  To read a CSV & excel file

2. To read the below 5 row.

3. What is data frame...?

A data frame is similar to excel workbook tabular sheet.with little bit difference Pandas can handel different types of data format file so reduce the confusion  the developers itself created a data frame for the pandas so all the type format file are first converted to pandas dataframe than all the operation are performed on them...

4. Indexing/selecting in DataFrame :-

5. Column selection,addition and deletion

6. Subsetting in  Dataframe

7. Exporting DataFrame to spreadsheet (CSV and Excel )