我有一个CSV文件,下面是它的样例:
Year: Dec: Jan:
1 50 60
2 25 50
3 30 30
4 40 20
5 10 10
我知道如何读取文件并打印每一列(例如。- ['Year', '1', '2', '3', etc]
)。但我实际上想要做的是读取行,就像这个['Year', 'Dec', 'Jan']
,然后是['1', '50', '60']
,依此类推。
然后,我想将这些数字['1', '50', '60']
存储到变量中,以便稍后对它们求和。
Year_1 = ['50', '60']
。然后我就可以做sum(Year_1) = 110
了。
我该如何在Python 3中做到这一点呢?
发布于 2012-11-17 14:59:24
你可以这样做:
with open("data1.txt") as f:
lis = [line.split() for line in f] # create a list of lists
for i, x in enumerate(lis): #print the list items
print "line{0} = {1}".format(i, x)
# output
line0 = ['Year:', 'Dec:', 'Jan:']
line1 = ['1', '50', '60']
line2 = ['2', '25', '50']
line3 = ['3', '30', '30']
line4 = ['4', '40', '20']
line5 = ['5', '10', '10']
或者:
with open("data1.txt") as f:
for i, line in enumerate(f):
print "line {0} = {1}".format(i, line.split())
# output
line 0 = ['Year:', 'Dec:', 'Jan:']
line 1 = ['1', '50', '60']
line 2 = ['2', '25', '50']
line 3 = ['3', '30', '30']
line 4 = ['4', '40', '20']
line 5 = ['5', '10', '10']
编辑:
with open('data1.txt') as f:
print "{0}".format(f.readline().split())
for x in f:
x = x.split()
print "{0} = {1}".format(x[0],sum(map(int, x[1:])))
# output
['Year:', 'Dec:', 'Jan:']
1 = 110
2 = 75
3 = 60
4 = 60
5 = 20
发布于 2012-11-17 14:48:43
import csv
with open("test.csv", "r") as f:
reader = csv.reader(f, delimiter="\t")
for i, line in enumerate(reader):
print 'line[{}] = {}'.format(i, line)
输出:
line[0] = ['Year:', 'Dec:', 'Jan:']
line[1] = ['1', '50', '60']
line[2] = ['2', '25', '50']
line[3] = ['3', '30', '30']
line[4] = ['4', '40', '20']
line[5] = ['5', '10', '10']
发布于 2016-08-03 19:20:14
import csv
with open('filepath/filename.csv', "rt", encoding='ascii') as infile:
read = csv.reader(infile)
for row in read :
print (row)
这将解决您的问题。别忘了给出编码。
https://stackoverflow.com/questions/13428318
复制相似问题