2019 Statistics on the number of boarders and disembarkers Question1： it needs python3.5_SDK and pandas,numpy,time,csv pip install pandas pip install numpy pip install time pip install csv 1).question1.py 2).nyc_taxi_data.csv（input file） 3).nyc_taxi_grid_data.csv（output file）（Too big to upload，If necessary, leave a message.） Its general format is passengers up_y up_x off_y off_x 2 0.53887 0.19438 0.59258 0.38546 2 0.47723 0.1544 0.66402 0.23383 1 0.54305 0.19637 0.56799 0.1602 1 0.66716 0.28892 0.86638 0.36459 1 0.48768 0.1421 0.3928 0.14926 1 0.54387 0.11972 0.53457 0.15514 6 0.59364 0.22532 0.54208 0.14972 ..... totally time cost 26.219933032989502 s Question2： Two-dimensional missing data prediction it needs python3.6_SDK and pandas,numpy,time,csv pip install pandas pip install numpy pip install time pip install csv pip install scikit-surprise 1).question2.py 3).pm25.csv(input file) 2).pm25_predicted.csv(output file) RMSE: 0.0376 totally cost 27.054699659347534