Need help with LASSO Regression Model for the excel file below:

with Y is highlighted column in Yellow RProf62_Peak while X's are highlighted columns in oranges. Please lot the observed and predicted values as well. Provide coefficients as well.

Please take a snapshot using Python Code. Thank you!

MP (Local) Site 9(1) ParkVille1 9(2) ParkVille2 17(1) Waldron1 17(2) Waldron2 192(1) Hickmani 192(2) Hickman2 192(C1) Hickmanci 192(C2) HickmanC2 196(1) Rocal 196(2) Roca2 196(C) Roca Condition Order Fouled 9.1 Fouled 9.2 Fouled 17.1 Fouled 17.2 Fouled 192.1 Fouled | 192.2 Control 192.11 Control 192.22 Fouled 196.1 Fouled 196.2 Control 196.11 Start Date 1123/2017 6/12/2018 9/1/2017 6/12/2018 8/10/2017 11/15/2017 8/10/2017 4/8/2018 11/6 2017 7/3/2018 9/18 2017 End Date RProf62_Peak BFI_LEFT_MAX BFI_CENTRAL_MAX BFI_RIGHT_MAX FDL_LEFT_MAX FDL_CENTRAL_MAX FDL_RIGHT_MAX 5/7/2018 -0.24 16.6 10.2 21.2 10 12/2/2018 -1.14 29.1 81.6 142.4 7 9 7 05/09 2018 -0.49 12.5 6.9 9.8 8 13 12/07/2018 -0.5 15.3 22.61 8.7 8 111 9 10/15/2017 -0.44 10.2 17.3 7.4 6 0 1/7/2019 -0.21 14.4 29.6 10.21 6 5 7 3/4/2018 -0.11 7.3 7 6 10 0 10 1/7/2019 -0.11 7.7 7.3 8.4 101 11 8 6/12/2018 -0.71 9.7 23.5 7.2 8 91 10 1/7/2019 -0.68 60.1 34.7 25.7 6 7 1/7/2019 -0.23 18.7 5.7 15.50 7 14 4 MP (Local) Site 9(1) ParkVille1 9(2) ParkVille2 17(1) Waldron1 17(2) Waldron2 192(1) Hickmani 192(2) Hickman2 192(C1) Hickmanci 192(C2) HickmanC2 196(1) Rocal 196(2) Roca2 196(C) Roca Condition Order Fouled 9.1 Fouled 9.2 Fouled 17.1 Fouled 17.2 Fouled 192.1 Fouled | 192.2 Control 192.11 Control 192.22 Fouled 196.1 Fouled 196.2 Control 196.11 Start Date 1123/2017 6/12/2018 9/1/2017 6/12/2018 8/10/2017 11/15/2017 8/10/2017 4/8/2018 11/6 2017 7/3/2018 9/18 2017 End Date RProf62_Peak BFI_LEFT_MAX BFI_CENTRAL_MAX BFI_RIGHT_MAX FDL_LEFT_MAX FDL_CENTRAL_MAX FDL_RIGHT_MAX 5/7/2018 -0.24 16.6 10.2 21.2 10 12/2/2018 -1.14 29.1 81.6 142.4 7 9 7 05/09 2018 -0.49 12.5 6.9 9.8 8 13 12/07/2018 -0.5 15.3 22.61 8.7 8 111 9 10/15/2017 -0.44 10.2 17.3 7.4 6 0 1/7/2019 -0.21 14.4 29.6 10.21 6 5 7 3/4/2018 -0.11 7.3 7 6 10 0 10 1/7/2019 -0.11 7.7 7.3 8.4 101 11 8 6/12/2018 -0.71 9.7 23.5 7.2 8 91 10 1/7/2019 -0.68 60.1 34.7 25.7 6 7 1/7/2019 -0.23 18.7 5.7 15.50 7 14 4