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From a dictionary of lists

A common way to create pandas DataFrames is by defining each column. This is especially useful if the data for each column is already in a list or NumPy array. In this exercise, you will take data from multiple lists and create a Python dictionary and a pandas' DataFrame.

The following lists are loaded into your workspace:

  • date: dates for each strike, as strings
  • height: the height (feet) at which the strike occurred
  • speed: the speed (knots) at which the strike occurred
  • engine: the engine type for each strike
  • airport: the airport associated with each strike
  • damage: the severity of damage to the aircraft

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Python for MATLAB Users

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# Create a dictionary from lists
strikes_dict = {'Date' : date,
                'Speed' : ____,
                '____' : height,
                '____' : ____, 
                '____' : ____,
                 ____ : airport}

# Print dictionary
print(strikes_dict)
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