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Python pandas Library
This document provides an overview of Pandas, a Python library used for data analysis and manipulation. Pandas allows users to manage, clean, analyze and model data. It organizes data in a form suitable for plotting or displaying tables. Key data structures in Pandas include Series for 1D data and DataFrame for 2D (tabular) data. DataFrames can be created from various inputs and Pandas includes input/output tools to read data from files into DataFrames.
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Overview of Pandas, a Python data analysis library, ideal for data scientists to manage, clean, analyze, and organize data for visualization.
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Techniques for manipulating Pandas Series, including adding indexes, extracting data by index, converting dictionaries, and changing Series' index.
Description of DataFrame, a key data structure in Pandas containing ordered collections of columns for different data types.
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Introduction to the Pandas I/O API, detailing the reader functions like pd.read_csv() to convert tabular data into DataFrame objects.
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Discussion on concatenation techniques in Python Pandas, overviewing how to combine DataFrames.
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- 1. Data Analysis in Pythonu s i n g Pandas
- 2. 2 Pandas o Pyton Dataanalysis library o Built on top of Numpy o Abbreviation of Panel Data System o Used in production in many companies
- 3. 33 T h eI d e a l t o o l f o r d a t a S c i e n t i s t s oManaging data oCleaning data oAnalyzing oModeling data oOrganizing the data in a form suitable for plotting or tabular display
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- 5. 5 A d di n g i n d e x t o t h e s e r i e s
- 6. 6 E x tr a c t i n g d a t a b y i n d e x
- 7. 7 C o nv e r t P y t h o n D i c t t o P a n d a s S e r i e s
- 8. 8 C h an g i n g S e r i e s ’ I n d e x
- 9. 9 oPython DataFrame isa data structure containing and ordered collecetions of columns. oEach column may hold numeric, string, boolean etc. Values oDataFrame has both row and column index D a t a F r a m e
- 10. 1010 oA pandas DataFramecan be created using various inputs like --Lists --Dict --Series --Numpy ndarrays --Another DataFrame C r e a t i n g a D a t a F r a m e
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- 26. 26 P y th o n P a n d a s I n p u t / O u t p u t T O O L S oThe Pandas I/O API is a set of top level reader functions accessed like pd.read_csv() that generally return a Pandas object. oThe 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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- 36. 36 Py th on Pandas C o n c a t e n a t i o n