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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:
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
Count the number of trips per birth-year using higher order functions (2pt): # 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,
Step by Step Solution
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Step: 1
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