Youtube Video commentary is also available.
P-001: Display the first 10 items of all items from the data frame (df_receipt) of the receipt details, and visually check what kind of data you have.
code
df_receipt.head(10)
output
sales_ymd sales_epoch store_cd receipt_no receipt_sub_no customer_id product_cd quantity amount
0 20181103 1257206400 S14006 112 1 CS006214000001 P070305012 1 158
1 20181118 1258502400 S13008 1132 2 CS008415000097 P070701017 1 81
2 20170712 1215820800 S14028 1102 1 CS028414000014 P060101005 1 170
3 20190205 1265328000 S14042 1132 1 ZZ000000000000 P050301001 1 25
4 20180821 1250812800 S14025 1102 2 CS025415000050 P060102007 1 90
5 20190605 1275696000 S13003 1112 1 CS003515000195 P050102002 1 138
6 20181205 1259971200 S14024 1102 2 CS024514000042 P080101005 1 30
7 20190922 1285113600 S14040 1102 1 CS040415000178 P070501004 1 128
8 20170504 1209859200 S13020 1112 2 ZZ000000000000 P071302010 1 770
9 20191010 1286668800 S14027 1102 1 CS027514000015 P071101003 1 680
**-This is a method to check the first data in Pandas DataFrame / Series. -Use when you want to know roughly what kind of data you have. ・ Display up to the first nth line with' .head (n)' -Conversely, if you want to display up to the nth line at the end, use' .tall (n)'. ・ You can see that it contains information about when, at which store, who bought what, how much, and how much. ** **
Recommended Posts