从第2行读取文件或跳过标题行

with open(fname) as f:
next(f)
for line in f:
#do something

f = open(fname,'r')
lines = f.readlines()[1:]
f.close()

f = open(fname).readlines()
firstLine = f.pop(0) #removes the first line
for line in f:
...

如果切片可以在迭代器上工作……

from itertools import islice
with open(fname) as f:
for line in islice(f, 1, None):
pass

如果你想要第一行，然后你想对文件执行一些操作，这段代码将会很有帮助。

with open(filename , 'r') as f:
first_line = f.readline()
for line in f:
# Perform some operations

# Open a connection to the file
with open('world_dev_ind.csv') as file:


# Skip the column names
file.readline()


# Initialize an empty dictionary: counts_dict
counts_dict = {}


# Process only the first 1000 rows
for j in range(0, 1000):


# Split the current line into a list: line
line = file.readline().split(',')


# Get the value for the first column: first_col
first_col = line[0]


# If the column value is in the dict, increment its value
if first_col in counts_dict.keys():
counts_dict[first_col] += 1


# Else, add to the dict and set value to 1
else:
counts_dict[first_col] = 1


# Print the resulting dictionary
print(counts_dict)

为了概括读取多个标题行的任务并提高可读性，我将使用方法提取。假设你想要标记coordinates.txt的前三行作为标题信息。

例子

coordinates.txt
---------------
Name,Longitude,Latitude,Elevation, Comments
String, Decimal Deg., Decimal Deg., Meters, String
Euler's Town,7.58857,47.559537,0, "Blah"
Faneuil Hall,-71.054773,42.360217,0
Yellowstone National Park,-110.588455,44.427963,0

然后，方法提取允许你指定你想要处理标题信息的什么(在这个例子中，我们只是基于逗号对标题行进行标记，并将其作为列表返回，但还有空间做更多的事情)。

def __readheader(filehandle, numberheaderlines=1):
"""Reads the specified number of lines and returns the comma-delimited
strings on each line as a list"""
for _ in range(numberheaderlines):
yield map(str.strip, filehandle.readline().strip().split(','))


with open('coordinates.txt', 'r') as rh:
# Single header line
#print next(__readheader(rh))


# Multiple header lines
for headerline in __readheader(rh, numberheaderlines=2):
print headerline  # Or do other stuff with headerline tokens

输出

['Name', 'Longitude', 'Latitude', 'Elevation', 'Comments']
['String', 'Decimal Deg.', 'Decimal Deg.', 'Meters', 'String']

如果coordinates.txt包含另一个标题行，只需更改numberheaderlines。最重要的是，__readheader(rh, numberheaderlines=2)所做的事情很清楚，我们避免了必须弄清楚或评论为什么被接受的答案的作者在他的代码中使用next()的模糊性。

如果您想从第2行开始读取多个CSV文件，这就像一个魅力

for files in csv_file_list:
with open(files, 'r') as r:
next(r)                  #skip headers
rr = csv.reader(r)
for row in rr:
#do something

(这是冻糕的回答对另一个问题的一部分)