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我有一個.xls
文件類似於這樣......Python的大熊貓read_csv不正確導入
Value of Construction Put in Place...
(Millions of Dollars....)
Blank Row
Date Total_Construction Total Residential Total Nonresidential...Columns
Dec-15 1,116,570 435,454 681,217
Nov-15 1,115,966 432,295 683,671
Oct-15 1,122,749 431,164 691,585
.
.
.
我試圖導入該文件得到如下:
Date Total_Construction Total Residential Total Nonresidential
Dec-15 1,116,570 435,454 681,217
Nov-15 1,115,966 432,295 683,671
Oct-15 1,122,749 431,164 691,585
.
.
.
隨着以下代碼:
for chunk in pandas.read_csv('/PATH/totsatime.xls',
names = ['Date', 'Total Residential', 'Total Nonresidential'],
header = 4,
chunksize = 1,
skiprows = range(1, 4),
thousands = ','):
if chunk['Date'] == 'Dec-01':
break
else:
df = pandas.DataFrame(chunk)
但是,我最終得到以下結果:
Date Total Residential Total Nonresidential
Lodging NaN NaN
Office NaN NaN
Commercial NaN NaN
Health care NaN NaN
日期最終從我沒有導入的列格式化。任何意見將不勝感激。
預先感謝您。
我想你應該嘗試'read_excel':http://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_excel.html – alpert
也忘記塊和名稱等......只是read_excel和它可能會做正確的事情。 – dartdog