我有这么长的数据。我喜欢按每个30分类并单独保存。
像这样的数据打印,
main2.py
这是一个相当简单的问题,但我需要你的帮助..
谢谢。
(如何从打印的一个结果中列出一个列表?列表添加?
答案 0 :(得分:2)
我认为需要按照模数和底线除以repartition
创建MultiIndex
除以DataFrame的长度然后unstack
:
但如果长度模数不等于np.arange
(例如0
),则最后一个值与最后一列不匹配,并添加了(30 % 12)
:
None
<强>设置强>:
N = 12
r = np.arange(len(df))
df.index = [r % N, r // N]
df = df['col'].unstack()
print (df)
0 1 2
0 A292340 A236350 A196030
1 A291630 A233740 A196220
2 A278240 A233160 A167860
3 A267770 A225800 A152500
4 A267490 A225060 A123320
5 A261250 A225050 A122630
6 A261110 A225040 None
7 A253150 A225130 None
8 A252400 A219900 None
9 A253250 A204450 None
10 A243890 A204480 None
11 A243880 A204420 None
答案 1 :(得分:2)
如果你没有Pandas和Numpy模块,你可以使用它:
设定:
long_list = ['A292340', 'A291630', 'A278240', 'A267770', 'A267490', 'A261250', 'A261110', 'A253150', 'A252400',
'A253250', 'A243890', 'A243880', 'A236350', 'A233740', 'A233160', 'A225800', 'A225060', 'A225050',
'A225040', 'A225130', 'A219900', 'A204450', 'A204480', 'A204420', 'A196030', 'A196220', 'A167860',
'A152500', 'A123320', 'A122630', 'A292340', 'A291630', 'A278240', 'A267770', 'A267490', 'A261250',
'A261110', 'A253150', 'A252400', 'A253250', 'A243890', 'A243880', 'A236350', 'A233740', 'A233160',
'A225800', 'A225060', 'A225050', 'A225040', 'A225130', 'A219900', 'A204450', 'A204480', 'A204420',
'A196030', 'A196220', 'A167860', 'A152500', 'A123320', 'A122630']
代码:
number_elements_in_sublist = 30
sublists = []
sublists.append([])
sublist_index = 0
for index, element in enumerate(long_list):
sublists[sublist_index].append(element)
if index > 0:
if (index+1) % number_elements_in_sublist == 0:
if index == len(long_list)-1:
break
sublists.append([])
sublist_index += 1
for index, sublist in enumerate(sublists):
print("Sublist Nr." + str(index+1))
for element in sublist:
print(element)