Reputation: 544
I have a .xls
file that looks similar to this...
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
.
.
.
I am trying to import the file to get the following:
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
.
.
.
With the following code:
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)
However, I end up with the following:
Date Total Residential Total Nonresidential
Lodging NaN NaN
Office NaN NaN
Commercial NaN NaN
Health care NaN NaN
The dates end up being formatted from the columns that I am not importing. Any advice would greatly be appreciated.
Thank you in advance.
Upvotes: 0
Views: 820
Reputation: 1856
Don't use read_csv
to import an xls file. Use read_excel
. See http://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_excel.html
Upvotes: 5