Using Python need code

output should be like this:

{"1900.0": 22, "1901.0": 1, "1910.0": 2, "1922.0": 4, ... "1995.0": 256,  "1996.0": 124, "1997.0": 94, "1998.0": 59, "1999.0": 17}

output should be sorted and 1900.00,1901.0,..... should contain double quotes and 

should remove nan values in output using math.isnan()

the output should come like this

{"1900.0": 22, "1901.0": 1, "1910.0": 2, "1922.0": 4, ... "1995.0": 256,  "1996.0": 124, "1997.0": 94, "1998.0": 59, "1999.0": 17}

 

Citibike.csv link

https://1drv.ms/x/s!AsX4xuU9Gr0ogRqQoVLW_nLvZgzH

Transcribed Image Text:

Count the number of trips per birth-year using higher order functions (2pt): <Read file> <YOUR HOF EXPRESSION> # After this, you should get something like # {"1900.0": 22, "1901.0": 1, "1910.0": 2, "1922.0": 4, "1996.0" 124, "1997.0": 94, "1998.0": 59, "1999.0": 17} Hint: math.isnan() is able to remove all the nan values. ... "1995.0": 256, Count the number of trips per birth-year using higher order functions (2pt): <Read file> <YOUR HOF EXPRESSION> # After this, you should get something like # {"1900.0": 22, "1901.0": 1, "1910.0": 2, "1922.0": 4, "1996.0" 124, "1997.0": 94, "1998.0": 59, "1999.0": 17} Hint: math.isnan() is able to remove all the nan values. ... "1995.0": 256,

Answer rating: 100% (QA)

To achieve the desired output you can use Python to read data from the provided CSV file process it ... View the full answer