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

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

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如果你想要第一行，然后你想对文件执行一些操作，这个代码会很有帮助。

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

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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

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

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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。假设您想要标记 coordinates.txt 的前三行以用作标题信息。

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

然后方法提取允许您指定要对标题信息执行的操作（在此示例中，我们只是根据逗号标记标题行并将其作为列表返回，但还有更多空间）。

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，很清楚 __readheader(rh, numberheaderlines=2) 在做什么，我们避免了必须弄清楚或评论为什么接受答案的作者在他的代码中使用 next() 的歧义。

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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

（这是另一个问题的 Parfait's answer 的一部分）

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# 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)

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