# Keep this starting line of code: decimals = [0.0003,0.2342,0.5629,0.6376,0.9731] # Write your code for Part 1 here: # Write your code for Part 2 here: # Keep these lines of code: # # Axial Seamount Central Caldera bottom pressure gauge data # (times in fractional years; depths in meters) times = [2014.625,2014.708,2014.792,2014.875,2014.958,2015.042,2015.125,2015.208,2015.292,2015.375,2015.458,2015.542,2015.625,2015.708,2015.792,2015.875,2015.958,2016.042,2016.125,2016.208,2016.292,2016.375,2016.458,2016.542,2016.625,2016.708,2016.792,2016.875,2016.958,2017.042,2017.125,2017.208,2017.292,2017.375,2017.458,2017.542,2017.625,2017.708,2017.792,2017.875,2017.958,2018.042,2018.125,2018.208,2018.292,2018.375,2018.458,2018.542,2018.625,2018.708,2018.792,2018.875,2018.958,2019.042,2019.125,2019.208,2019.292,2019.375,2019.458,2019.542,2019.625,2019.708,2019.792,2019.875,2019.958] depths = [1510.24,1510.19,1510.14,1510.08,1510.04,1509.96,1509.93,1509.87,1509.83,1512.23,1512.11,1512.04,1511.96,1511.89,1511.79,1511.7,1511.64,1511.57,1511.54,1511.5,1511.47,1511.47,1511.4,1511.35,1511.33,1511.32,1511.31,1511.26,1511.21,1511.19,1511.14,1511.12,1511.05,1511.0,1511.06,1511.04,1511.01,1510.98,1510.93,1510.87,1510.87,1510.91,1510.86,1510.77,1510.75,1510.7,1510.67,1510.68,1510.64,1510.59,1510.56,1510.54,1510.45,1510.51,1510.41,1510.42,1510.39,1510.37,1510.4,1510.42,1510.41,1510.38,1510.33,1510.3,1510.26] # Your code for Parts 1-3: # Your print() statements for Parts 1-3: # Your code to make the plot for Part 4: # Keep these lines of code: # # Monthly ERA-Interim data for the North Atlantic (Irminger Sea at 59.5°N, 40.0°W) from 2018 months = ['January','February','March','April','May','June','July','August','September','October','November','December'] U_10 = [12.91,14.63,8.58,9.32,10.88,7.73,7.15,8.09,8.49,9.77,11.34,9.14] T_a = [0.55,-1.95,1.52,2.81,2.71,5.13,7.06,8.19,7.08,4.56,3.68,2.61] T_s = [4.18,3.86,3.72,3.91,4.35,5.29,6.76,8.21,7.37,6.24,5.09,4.42] # Your code for Part 1: # Your code for Part 3: # Your code for Part 4: # Your code for Part 6: # Your code for Part 7: # Your code for Part 8: # Your code for Part 9: # Your code for Part 10: # Your print() statements for Parts 1-6 and 8-10: # Do not alter the code in this cell import numpy as np # Data in this array consists of 4 columns: # Latitude, longitude, T at 5 m (˚C), T at 11 m (˚C) T_data = np.array([[51.7439,2.4476,14.726,14.736],[51.7147,2.4071,14.746,14.756],[51.6851,2.3664,14.796,14.816],[51.6561,2.3254,14.856,14.866], [51.627,2.2854,14.866,14.876],[51.5981,2.2454,14.896,14.916],[51.5689,2.2055,14.936,14.946],[51.5404,2.1661,14.946,14.956], [51.5122,2.127,14.936,14.946],[51.4831,2.087,14.956,14.966],[51.4545,2.0478,15.016,15.026],[51.4271,2.01,15.106,15.116], [51.3959,1.9686,15.136,15.146],[51.3635,1.9252,15.086,15.086],[51.3304,1.8848,14.826,14.826],[51.2986,1.8437,14.616,14.626], [51.2679,1.8036,14.527,14.547],[51.2371,1.7642,14.636,14.646],[51.207,1.7255,14.666,14.686],[51.1782,1.6886,14.766,14.786], [51.1497,1.6519,14.736,14.756],[51.1215,1.6156,14.716,14.726],[51.0984,1.581,14.656,14.666],[51.077,1.5485,14.567,14.577], [51.0586,1.5198,14.467,14.477],[51.0354,1.4841,14.247,14.257],[51.0088,1.4431,14.117,14.147],[50.9829,1.4033,14.307,14.327], [50.957,1.3635,14.337,14.347],[50.9314,1.324,14.307,14.327],[50.9077,1.2801,14.327,14.337],[50.8867,1.2301,14.207,14.217], [50.8654,1.1789,14.157,14.177],[50.8436,1.1266,14.167,14.187],[50.8213,1.0736,14.137,14.157],[50.7988,1.0196,14.257,14.277], [50.776,0.9649,14.437,14.447],[50.7527,0.9096,14.626,14.646],[50.7295,0.8538,14.796,14.806],[50.7059,0.7976,14.836,14.846], [50.6826,0.7407,14.806,14.816],[50.6626,0.6806,14.806,14.816],[50.6388,0.6227,14.826,14.836],[50.615,0.5641,14.826,14.836], [50.6005,0.4986,14.786,14.796],[50.5881,0.4317,14.786,14.786],[50.5756,0.3649,14.756,14.766],[50.5632,0.2975,14.826,14.836], [50.5509,0.2306,14.886,14.896],[50.5386,0.1641,15.006,15.016],[50.5263,0.0974,15.176,15.186],[50.5138,0.0313,15.196,15.196], [50.5018,-0.0345,15.186,15.196],[50.4897,-0.0997,15.286,15.296],[50.4778,-0.1644,15.346,15.356],[50.466,-0.2284,15.386,15.396], [50.454,-0.2916,15.376,15.386],[50.4426,-0.3536,15.366,15.376],[50.4313,-0.4153,15.416,15.416],[50.4168,-0.4275,15.456,15.466], [50.409,-0.4882,15.436,15.446],[50.4017,-0.5474,15.466,15.476],[50.3933,-0.6047,15.426,15.426],[50.3796,-0.6583,15.396,15.406], [50.3668,-0.7114,15.396,15.406],[50.3524,-0.763,15.396,15.406],[50.3396,-0.8151,15.396,15.406],[50.3288,-0.8668,15.476,15.486], [50.3223,-0.9188,15.556,15.566],[50.316,-0.97,15.616,15.636],[50.3092,-1.0191,15.696,15.706],[50.3024,-1.0675,15.746,15.756]]) # Data in this array has only one dimension: # Date/Time (Y-m-d H:M:S) string time_data = np.array(['2003-10-23 06:25:00','2003-10-23 06:35:00', '2003-10-23 06:45:00','2003-10-23 06:55:00','2003-10-23 07:05:00', '2003-10-23 07:15:00','2003-10-23 07:25:00','2003-10-23 07:35:00', '2003-10-23 07:45:00','2003-10-23 07:55:00','2003-10-23 08:05:00', '2003-10-23 08:15:00','2003-10-23 08:25:00','2003-10-23 08:35:00', '2003-10-23 08:45:00','2003-10-23 08:55:00','2003-10-23 09:05:00', '2003-10-23 09:15:00','2003-10-23 09:25:00','2003-10-23 09:35:00', '2003-10-23 09:45:00','2003-10-23 09:55:00','2003-10-23 10:05:00', '2003-10-23 10:15:00','2003-10-23 10:25:00','2003-10-23 10:35:00', '2003-10-23 10:45:00','2003-10-23 10:55:00','2003-10-23 11:05:00', '2003-10-23 11:15:00','2003-10-23 11:25:00','2003-10-23 11:35:00', '2003-10-23 11:45:00','2003-10-23 11:55:00','2003-10-23 12:05:00', '2003-10-23 12:15:00','2003-10-23 12:25:00','2003-10-23 12:35:00', '2003-10-23 12:45:00','2003-10-23 12:55:00','2003-10-23 13:05:00', '2003-10-23 13:15:00','2003-10-23 13:25:00','2003-10-23 13:35:00', '2003-10-23 13:45:00','2003-10-23 13:55:00','2003-10-23 14:05:00', '2003-10-23 14:15:00','2003-10-23 14:25:00','2003-10-23 14:35:00', '2003-10-23 14:45:00','2003-10-23 14:55:00','2003-10-23 15:05:00', '2003-10-23 15:15:00','2003-10-23 15:25:00','2003-10-23 15:35:00', '2003-10-23 15:45:00','2003-10-23 15:55:00','2003-10-23 16:05:00', '2003-10-23 16:15:00','2003-10-23 16:25:00','2003-10-23 16:35:00', '2003-10-23 16:45:00','2003-10-23 16:55:00','2003-10-23 17:05:00', '2003-10-23 17:15:00','2003-10-23 17:25:00','2003-10-23 17:35:00', '2003-10-23 17:45:00','2003-10-23 17:55:00','2003-10-23 18:05:00', '2003-10-23 18:15:00','2003-10-23 18:25:00'])