我试图使用循环函数来创建一个矩阵,表明产品是否在特定的一周内被看到.
df中的每一行(代表产品)都有一个close_date(产品关闭的日期)和一个week_diff(产品列出的周数).
import pandas
mydata = [{'subid' : 'A', 'Close_date_wk': 25, 'week_diff':3},
{'subid' : 'B', 'Close_date_wk': 26, 'week_diff':2},
{'subid' : 'C', 'Close_date_wk': 27, 'week_diff':2},]
df = pandas.DataFrame(mydata)
我的目标是查看每个date_range中为每种产品列出的替代产品数量
我已经设置了以下循环:
for index, row in df.iterrows():
i = 0
max_range = row['Close_date_wk']
min_range = int(row['Close_date_wk'] - row['week_diff'])
for i in range(min_range,max_range):
col_head = 'job_week_' + str(i)
row[col_head] = 1
你能帮忙解释为什么"row [col_head] = 1"行既没有添加列,也没有为该行的该列添加值.
例如,如果:
row A has date range 1,2,3
row B has date range 2,3
row C has date range 3,4,5' …