Question

我有3个数据框，并且已将它们串联为一个数据框。但是，现在我需要在第二列之后插入一个空白列（相关）在此数据框中，然后将其写入Excel。因此，每个数据帧看起来像：

Variable_Name       correlation 
Pending_Disconnect  0.553395448 
status_Active       0.539464806 
days_active         0.414774231 
days_pend_disco     0.392915837 
prop_tenure         0.074321692 
abs_change_3m       0.062267386

在连接之后，然后在空格或空白列后面附加以下格式：

Variable_Name       correlation         Variable_Name   correlation         Variable_Name   correlation
Pending_Disconnect  0.553395448         Pending_Change  0.043461995         active_frq_N    0.025697016
status_Active       0.539464806         status_Active   0.038057697         active_frq_Y    0.025697016
days_active         0.414774231         ethnic          0.037503202         ethnic          0.025195149
days_pend_disco     0.392915837         days_active     0.037227245         ecgroup         0.023192408
prop_tenure         0.074321692         archetype_grp   0.035761434         age             0.023121305
abs_change_3m       0.062267386         age_nan         0.035761434         archetype_nan   0.023121305

有人可以帮我吗？

Answer 1

每2列使用range，而startcol参数则使用import xlsxwriter writer = pd.ExcelWriter('pandas_column_formats.xlsx',engine='xlsxwriter') for col,st_col in zip(range(0,6,2), range(0,7,3)): df.iloc[:,col:col+2].to_excel(writer, index=False, startcol=st_col) writer.save() writer.close()：

for df,st_col  in zip([df1,df2,df3], range(0,7,3)):
    df.to_excel(writer, index=False, startcol=st_col)

如果单独有数据帧，则：

from scrapy.crawler import CrawlerRunner 
from scrapy_app.scrapy_app.spiders.generic import GenericSpider
....

class MyProcess(object):

    def start_my_process(self, _config, _req_obj, site_urls):
        runner = CrawlerRunner()       
        runner.crawl(GenericSpider, 
                config=_config, 
                reqObj=_req_obj,
                urls=site_urls)
        deferred = runner.join()
        deferred.addBoth(lambda _: reactor.stop())
        reactor.run()

    ....

将在excel中保存为：

Answer 2

尝试使用“插入”方法。像这样：

N = len(df.columns) - 2 # number of columns, starting 2 before the last one
for i in range(N,2,-2): # going backwards since the column numbers change during insertion
    df.insert(i,'','',allow_duplicates=True)

在数据帧的第N列之后插入空格或空白列

2 个答案: