Question: Help me ASAP, use python codes 6 Import the following files: uber_apr.csv, uber_may.csv, uber_jun.csv. Concatenate these files into a single file, uber. Print the first

Help me ASAP, use python codes 6 Import the following files: uber_apr.csv, uber_may.csv, uber_jun.csv. Concatenate these files into a single file, uber. Print the first 4 lines of the concatenated dataframe. Code and Output +

Help me ASAP, use python codes

6 Import the following files: uber_apr.csv, uber_may.csv, uber_jun.csv. Concatenate these files into a single file, uber. Print the first 4 lines of the concatenated dataframe. Code and Output + 7 Import tips.csv. This dataset has a column named sex. Write a function named recode gender that has one parameter (gender) and will recode Male to 0 and Female to 1, and will return np:nan if the value is neither Male nor Female. Apply this function to the column sex of tips using apply(). Print the first eight lines of the new dataframe. Code and Output A A L] A c######## i 2. my us 6 3 4 5 Tag on LS LG Feb 4 ######## 5 ######## 5 ######## 8 ######## & ######## g ######## 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 B D Date/Time Lat Lon Base 40.769 -73.9549 B02512 1 ##### 40.7267 -74.0345 B02512 2 40.7316 -73.9873 B02512 3 ######## 40.7588 -73.9776 B02512 40.7594 -73.9722 B02512 40.7383 -74.0403 B02512 6 40.7223 -73.9887 B02512 7 ###### 40.762 -73.979 802512 8 40.7524 -73.996 B02512 9 40.7575 -73.9846 B02512 10 ###### 40.7256 -73.9869 B02512 11 ######## 40.7591 -73.9684 B02512 12 ####### 40.7271 -73.9803 B02512 13 ######## 40.6463 -73.7896 B02512 14 ######## 40.7564 -73.9167 B02512 15 ####### 40.7666 -73.9531 B02512 16 ######## 40.758 -73.9761 B02512 17 40.7238 -73.9821 B02512 18 ####### 40.7531 -74.0039 B02512 19 ######## 40.7389 -74.0393 B02512 20 ####### 40.7619 -73.9715 B02512 21 ##### 40.753 -74.0042 B02512 22 40.6561 -73.9531 B02512 23 ###### 40.725 -73.9844 B02512 24 40.695 -74.1783 B02512 25 HHHHHHHH 40.9859 -74.1578 B02512 25 ### 40.6879 -74.1814 B02512 27 40.6878 -74.1816 B02512 10 14 4 4 4 4 44 444 75 nn7 anAct1 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 B C D E Date/Time Lat Lon Base 0 # 40.7521 -73.9914 B02512 1 ######## 40.6965 -73.9715 B02512 2# 40.7464 -73.9838 B02512 3# 40.7463 -74.0011 B02512 40.7594 -73.9734 B02512 5 ######## 40.7685 -73.8625 B02512 6 40.7637 -73.9962 B02512 7 ##### 40.7252 -74.0023 B02512 40.7607 -73.9625 B02512 9 ######## 40.7212 -73.9879 B02512 10 ######## 40.7255 -73.9986 B02512 11 40.6467 -73.7901 B02512 12 ######## 40.7613 -73.9788 B02512 13 ###### 40.7807 -73.9497 B02512 14 40.7585 -73.9708 B02512 15 ######## 40.7163 -73.9895 B02512 16 # 40.7265 -73.9958 B02512 17 ######## 40.7559 -73.9867 B02512 18 ### 40.7671 -73.9956 B02512 19 ######## 40.7707 -73.9944 B02512 20 ######## 40.7607 -73.9784 B02512 40.7382 -74.0096 B02512 22 40.759 -73.9725 B02512 23 ######## 40.7456 -73.9915 B02512 24 ####### 40.7285 -74.0044 B02512 25 ##### 40.7218 -73.9921 B02512 26 40.744 -73.9877 B02512 27 ######## 40.71 -74.0091 B02512 7 nard none 41 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 A B || C D E Date/Time Lat Lon Base O ######## 40.7293 -73.992 B02512 1 ######## 40.7131 -74.0097 B02512 2 ######## 40.3461 -74.661 B02512 3 40.7555 -73.9833 B02512 4 40.688 -74.1831 B02512 40.7152 -73.9917 B02512 5 40.7282 -73.991 B02512 7 # 40.3042 -73.9794 B02512 40.727 -73.9915 B02512 40.7221 -73.9965 B02512 10 ###### 40.7153 -74.0146 B02512 11 40.6176 -74.0197 B02512 12 ######## 40.7025 -73.9897 B02512 13 40.735 -74.165 B02512 14 # 40.7357 -74.0068 B02512 15 40.6904 -73.9572 B02512 40.7384 -73.9857 B02512 17 ######## 40.7406 -74.0066 B02512 18 40.7535 -73.9813 B02512 19 ###### 40.722 -73.9804 B02512 20 ####### 40.8095 -74.1037 B02512 21 40.7482 -73.9745 B02512 22 ######## 40.7043 -73.933 B02512 23 40.7298 -73.9898 B02512 24 ######## 40.7397 -74.0053 B02512 25 ####### 40.7607 -74.0025 B02512 25 40.7578 -73.9703 B02512 27 ######## 40.7349 - 73.985 B02512 n 1119 uber jun 16 ######## 21 ######## 191 | 1 TTTTTTTT uber apr uber may Ready Ready Ready G D smoker G size w w N No No No No No 2 3 3 2 4 A 1 total_bill tip 2 16.99 3 10.34 4 21.01 5 23.68 6 24.59 7 25.29 8 8.77 9 26.88 10 15.04 11 14.78 12 10.27 13 35.26 14 15.42 15 18.43 16 14.83 17 21.58 18 10.33 B sex 1.01 Female 1.66 Male 3.5 Male 3.31 Male 3.61 Female 4.71 Male 2 Male 3.12 Male 1.96 Male 3.23 Male 1.71 Male 5 Female 1.57 Male 3 Male 3.02 Female 3.92 Male 1.67 Female 2 2 2 E day Sun Sun Sun Sun Sun Sun Sun Sun Sun Sun Sun Sun Sun Sun Sun Sun Sun F time Dinner Dinner Dinner Dinner Dinner Dinner Dinner Dinner Dinner Dinner Dinner Dinner Dinner Dinner Dinner Dinner Dinner 4 2 4 No No NNNN 2 2 2 2 2 2 4 2 4 No No 2 2 2 NN 2 2 No 3 tips Ready

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