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How to Work With Tuple in Python

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Tuple in python is one of the streaming datasets. The other streaming datasets are List and Dictionary. Operations that you can perform on it are shown here for your reference. Writing tuple is easy. It has values of comma separated, and enclosed with parenthesis '()'. The values in the tuple are immutable, which means you cannot replace with new values. #1. How to create a tuple Code: my_tuple=(1,2,3,4,5) print(my_tuple) Output: (1, 2, 3, 4, 5) ** Process exited - Return Code: 0 ** Press Enter to exit terminal #2. How to read tuple values Code: print(my_tuple[0]) Output: 1 ** Process exited - Return Code: 0 ** Press Enter to exit terminal #3. How to add two tuples Code: a=(1,6,7,8) c=(3,4,5,6,7,8) d=print(a+c) Output: (1, 6, 7, 8, 3, 4, 5, 6, 7, 8) ** Process exited - Return Code: 0 ** Press Enter to exit terminal #4.  How to count tuple values Here the count is not counting values; count the repetition of a given value. Code: sample=(1, 6, 7, 8, 3, 4, 5, 6, 7, 8) print(sample

How to use Pandas Series Method top ideas

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Here is an example of how to use a Series constructor in Pandas. A one-dimensional array capable of holding any data type (integers, strings, floating-point numbers, Python objects, etc.) is called a Series object in pandas. Sample DataFrame Single dimension data Below is the single dimension data of Index and Value.  Index  Value  1  10                2  40  3  01  4  99 Having single value for an index is called Single dimensional data. On the other hand, when one index has multiple values, it is called multi-dimensional array.   Below is the example for Multi-dimensional array.  a = (1, (10,20)) mySeries =  pd. Series(data, index=index) Here, pd is a Pandas object. The data and index are two arguments. The  data refers to a Python dictionary of "ndarray"  and index is index of data. Generating DataFrame from single dimension data The below example shows, how to construct single dimension data (Values and Index). >>>mySeries = pd. S eries([10,20,30], index