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def iterpage(istream, pagesize):
buffer = []
for data in istream:
buffer.append(data)
if len(buffer)>=pagesize:
yield buffer
buffer = []
if buffer:
yield buffer
with open("source.txt", 'rt') as handle:
for page in iterpage(handle, 1000):
print page # or your business logical
print "-"*32 # page break
删除文本文件的前N行：
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def removehead(filename, headlines):
buffer = []
with open(filename, 'rt') as handle:
for i, ln in enumerate(handle):
if ln <headlines:
continue
buffer.append(ln)
with open(filename, 'wt') as handle:
handle.writelines(buffer)
或者：
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def getandremovehead(filename, headlines):
with open(filename, 'rt') as handle:
buffer = handle.readlines()
with open(filename, 'wt') as handle:
handle.writelines(buffer[headlines:])
return buffer[:headlines]
但遇到大文本文件时，删除其中N行不是很理想的业务方案
由于没有看到导出的表格样本，直接说吧：遍历建议直接用pandas的itertuples()，去除前面的空白字符串用lstrip()就行
df = pd.read_excel("test.xlsx")
for row in df.itertuples():
row.行名称=row.行名称.lstrip()
以上应该就可以了，注意缩进。
