【问题标题】:Iterating through a nested table/spreadhseet遍历嵌套表/电子表格
【发布时间】:2017-06-27 14:40:55
【问题描述】:
【问题讨论】:
标签:
python
python-2.7
csv
pandas
【解决方案1】:
我认为这行得通。它只是在“父”行列表中的每个“父”行的末尾添加一个“子”行列表。
customer_file = open('index_of_customers.txt', 'r') # you should of course do more try-except stuff in your script
database = [] # all data ends up here
for each_line in customer_file: # reads one line at a time
each_line = each_line.strip('\n') # removes newlines
each_line = each_line.split('\t') # split the line of text into a list. This should save any empty columns aswell
if each_line[0] == 'D': # if line starts with a single D
each_line.append([]) # add a list for the other lines at the end of the D line
database.append( each_line ) # add a D line to the "database" as a list
else: # if line don't start with a single D
if len(database): # the first line is not a D line, so we need to check if the database is empty to avoid errors
database[-1][-1].append(each_line) # add the line to the last D line's list.
for each_D_line in database: # prints out the database in an ugly way
print( str(each_D_line[:-1]) ) # first the D lines
for each_other_line in each_D_line[-1]:
print( '\t' + str(each_other_line) ) # then each other line