Python pandas Library

Python pandas

1. Data Analysis in Python using Pandas

2. 2 Pandas Pyton Data analysis library Built on top of Numpy Abbreviation of Pan el Da ta S ystem Used in production in many companies

3. 3 3 The Ideal tool for data Scientists Managing data Cleaning data Analyzing Modeling data Organizing the data in a form suitable for plotting or tabular display

4. 4 There are two data structure in pandas --Series --Dataframe Viewing the values of the variable [object]

5. 5 Adding index to the series

6. 6 Extracting data by index

7. 7 Convert Python Dict to Pandas Series

8. 8 Changing Series’ Index

9. 9 Python DataFrame is a data structure containing and ordered collecetions of columns. Each column may hold numeric, string, boolean etc. Values DataFrame has both row and column index DataFrame

10. 10 10 A pandas DataFrame can be created using various inputs like --Lists --Dict --Series --Numpy ndarrays --Another DataFrame Creating a DataFrame

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26. 26 Python Pandas Input/Output TOOLS The Pandas I/O API is a set of top level reader functions accessed like pd.read_csv() that generally return a Pandas object. The two functions for reading text files are read_csv() and read_table() . They both intelligently convert tabular data into a DataFrame object

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29. 29 Python Pandas

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36. 36 Python Pandas Concatenation