Showing posts with the label series in pandas examples

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How to Compare Text in Python

Python like other programming languages supports comparison operators. These primarily use to test the condition in the program. Here's a list of operators that you can use in python programs. Comparison operators List of operators < <= > >= == != Is is not How to use comparison operators Here, I have assigned 23 to a and 11 to b. Then, I did apply all the comparison operators. The output is self-explanatory, and If you are in doubt while programming, remember to visit this page. Examples a = 23 b = 11 print("Is a greater than b?", a > b)           #greater than print("Is a less than b?", a < b)              #less than print("Is a greater or equal to b?", a >= b)   #greater or equal print("Is a less or equal to b?", a <= b)      #less or equal print("Is a equal to b (option 1)?", a == b)         #test for equality print("Is a equal to b (option 2)?", a is b)         #test for equality print("I

How to use Pandas Series Method top ideas

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