I have a file that contains a city name and then a state name per line in the file. I am suppose to count how many times a state name occurs and return the value.
我有一个文件,其中包含城市名称,然后是文件中每行的州名称。我想要计算状态名称出现的次数并返回值。
for example, if my file contained:
例如,如果我的文件包含:
Los Angeles California
San Diego California
San Francisco California
Albany New York
Buffalo New York
Orlando Florida
I am suppose to return how many times each state name occurs. I have this for California.
我想要返回每个州名发生多少次。我有加州的这个。
for line in f:
California_count=line.find("California")
if California_count!=-1:
total=line.count("California")
print(total)
This only gives me the value 1, which I am assuming is because it occurs 1 time per line. How do I get it to return the number 3 instead of the number 1?
这只给我值1,我假设是因为它每行发生1次。如何让它返回数字3而不是数字1?
4 个解决方案
#1
3
total = 0
with open('input.txt') as f:
for line in f:
finded = line.find('California')
if finded != -1 and finded != 0:
total += 1
print total
output:
输出:
3
#2
3
Use dictionary for storing counters:
使用字典存储计数器:
data = """Los Angeles California
San Diego California
San Francisco California
Albany New York
Buffalo New York
Orlando Florida""".splitlines()
counters = {}
for line in data:
city, state = line[:14], line[14:]
# city, state = line.split('\t') # if separated by tabulator
if state not in counters:
counters[state] = 1
else:
counters[state] += 1
print counters
# {'Florida': 1, 'New York': 2, 'California': 3}
You can simplify it by using collections.defaultdict
:
您可以使用collections.defaultdict简化它:
from collections import defaultdict
counter = defaultdict(int)
for line in data:
city, state = line[:14], line[14:]
counter[state] += 1
print counter
# defaultdict(<type 'int'>, {'Florida': 1, 'New York': 2, 'California': 3})
or using collections.Counter
and generator expression:
或使用collections.Counter和generator表达式:
from collections import Counter
states = Counter(line[14:] for line in data)
# Counter({'California': 3, 'New York': 2, 'Florida': 1})
#3
1
Assuming that the spaces in your post are meant to be tabs, the following code will give you a dict containing the counts for all of the states in the file.
假设帖子中的空格是标签,下面的代码将为您提供一个包含文件中所有状态计数的字典。
#!/usr/bin/env python3
counts = {}
with open('states.txt', 'r') as statefile:
for i in statefile:
state = i.split('\t')[1].rstrip()
if state not in counts:
counts[state] = 0
else:
counts[state] += 1
print(counts)
#4
1
Alternatively, you could just use the re
module, and regex it:
或者,你可以只使用re模块,并正则表达它:
import re
states = """
Los Angeles California
San Diego California
San Francisco California
Albany New York
Buffalo New York
Orlando Florida
"""
found = re.findall('[cC]alifornia', states)
total = 0
for i in found:
total += 1
print total
#1
3
total = 0
with open('input.txt') as f:
for line in f:
finded = line.find('California')
if finded != -1 and finded != 0:
total += 1
print total
output:
输出:
3
#2
3
Use dictionary for storing counters:
使用字典存储计数器:
data = """Los Angeles California
San Diego California
San Francisco California
Albany New York
Buffalo New York
Orlando Florida""".splitlines()
counters = {}
for line in data:
city, state = line[:14], line[14:]
# city, state = line.split('\t') # if separated by tabulator
if state not in counters:
counters[state] = 1
else:
counters[state] += 1
print counters
# {'Florida': 1, 'New York': 2, 'California': 3}
You can simplify it by using collections.defaultdict
:
您可以使用collections.defaultdict简化它:
from collections import defaultdict
counter = defaultdict(int)
for line in data:
city, state = line[:14], line[14:]
counter[state] += 1
print counter
# defaultdict(<type 'int'>, {'Florida': 1, 'New York': 2, 'California': 3})
or using collections.Counter
and generator expression:
或使用collections.Counter和generator表达式:
from collections import Counter
states = Counter(line[14:] for line in data)
# Counter({'California': 3, 'New York': 2, 'Florida': 1})
#3
1
Assuming that the spaces in your post are meant to be tabs, the following code will give you a dict containing the counts for all of the states in the file.
假设帖子中的空格是标签,下面的代码将为您提供一个包含文件中所有状态计数的字典。
#!/usr/bin/env python3
counts = {}
with open('states.txt', 'r') as statefile:
for i in statefile:
state = i.split('\t')[1].rstrip()
if state not in counts:
counts[state] = 0
else:
counts[state] += 1
print(counts)
#4
1
Alternatively, you could just use the re
module, and regex it:
或者,你可以只使用re模块,并正则表达它:
import re
states = """
Los Angeles California
San Diego California
San Francisco California
Albany New York
Buffalo New York
Orlando Florida
"""
found = re.findall('[cC]alifornia', states)
total = 0
for i in found:
total += 1
print total