How can I skip the header row and start reading a file from line2?
如何跳过标题行并开始从line2中读取文件?
7 个解决方案
#1
292
with open(fname) as f:
next(f)
for line in f:
#do something
#2
64
f = open(fname,'r')
lines = f.readlines()[1:]
f.close()
#3
18
If you want the first line and then you want to perform some operation on file this code will helpful.
如果你想要第一行,然后你想对文件执行一些操作,这段代码会很有帮助。
with open(filename , 'r') as f:
first_line = f.readline()
for line in f:
# Perform some operations
#4
8
f = open(fname).readlines()
firstLine = f.pop(0) #removes the first line
for line in f:
...
#5
2
If slicing could work on iterators...
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
#6
2
with open('old.csv', 'r') as f, open('new.csv', 'w') as ff:
first_line = f.readline()
for line in f:
line = line.translate({ord(i):None for i in 'abcd'})
ff.write(line)
ff.seek(0)
ff.write(first_line)
#7
0
Open a connection to the file
with open('world_dev_ind.csv') as file:
打开(world_dev_ind.csv)文件:
# 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)
打印(counts_dict)
#1
292
with open(fname) as f:
next(f)
for line in f:
#do something
#2
64
f = open(fname,'r')
lines = f.readlines()[1:]
f.close()
#3
18
If you want the first line and then you want to perform some operation on file this code will helpful.
如果你想要第一行,然后你想对文件执行一些操作,这段代码会很有帮助。
with open(filename , 'r') as f:
first_line = f.readline()
for line in f:
# Perform some operations
#4
8
f = open(fname).readlines()
firstLine = f.pop(0) #removes the first line
for line in f:
...
#5
2
If slicing could work on iterators...
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
#6
2
with open('old.csv', 'r') as f, open('new.csv', 'w') as ff:
first_line = f.readline()
for line in f:
line = line.translate({ord(i):None for i in 'abcd'})
ff.write(line)
ff.seek(0)
ff.write(first_line)
#7
0
Open a connection to the file
with open('world_dev_ind.csv') as file:
打开(world_dev_ind.csv)文件:
# 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)
打印(counts_dict)