Pandas library

1. Data Analysis in
Python using
Pandas

2. Pandas
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o Pyton Data analysis library
o Built on top of Numpy
o Abbreviation of Panel Data System
o Used in production in many companies

3. T h e I 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
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oManaging data
oCleaning data
oAnalyzing
oModeling data
oOrganizing the data in a form suitable for plotting or tabular
display

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5. A d d i n g i n d e x t o t h e s e r i e s
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6. E x t r a c t i n g d a t a b y
i n d e x
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7. C o n v 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
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8. C h a n g i n g S e r i e s ’
I n d e x
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9. oPython DataFrame is a 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
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10. oA pandas DataFrame can 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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14. Thanks!
Any questions?
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26. P y t h 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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29. Python Pandas
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36. P ython
Pandas
C o n c a t e n a t i o n
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