Pandas DataFrame and Pandas Panel

 






Pandas DataFrame

Pandas DataFrame is two-dimensional size- changeable, potentially varied tabular data structure with marked axes (rows and columns). A Data frame is a two-dimensional data structure, i.e., data is aligned in a tabular mode in rows and lines. Pandas DataFrame consists of three top factors, the data, rows, and columns. 

 Features of DataFrame 


  •  Potentially columns are of distinct kinds 
  •  Size – Variable 
  •  Labeled axes (rows and columns) 
  • Can accomplish Computation operations on rows and columns. 

 

 Creating a Pandas DataFrame 

     In the real world, a Pandas DataFrame will be created by encumbering the datasets from being depository, storage can be SQL Database, CSV file, and Excel file. Pandas DataFrame can exist created from the lists, dictionary, and from a list of dictionary etc. 

Creating DataFrame from dict of ndarray/ lists To produce DataFrame from dict of narray/ list, all the narray must be of equal length. If index is transferred also the length index should be level to the length of arrays. However, also by default, indicator will be range (n) where n is the array length, If no index is transferred. 


 

 Python code establish creating 

# DataFrame from dict narray/ lists 

 By default addresses. 


import pandas as pd

# intialise data of lists.

data = {'Name':['Tina', 'nia', 'kiya', 'piya'],

        'Roll no':[20, 21, 19, 18]}

 

# Create DataFrame

df = pd.DataFrame(data)

# Print the output.

print(df)


Name             Roll no

Tina',            20

 'Nia',            21      

 'kiya',          19

'piya             18     


 Pandas Panel 

 

 In Pandas, Panel is a genuinely big container for three-dimensional data. The names for the 3 axes are aimed to give some semantic meaning to depicting operations involving panel data and, in particular, econometric dissection of panel data. In Pandas Panel. shape can be applied to get a tuple of axis dimensions.


Conclusion 

Here , we learned about pandas DataFrame ,its features , how to create it and Pandas Panel . Learn about  more data operations in python in our blog.




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