Python 从Excel数据创建结构化列表
大家好,我正在使用Python2.7.3,我正在尝试构建输出列表,其中数据在每个类别下打印 我的数据是:Python 从Excel数据创建结构化列表,python,excel,list,format,line,Python,Excel,List,Format,Line,大家好,我正在使用Python2.7.3,我正在尝试构建输出列表,其中数据在每个类别下打印 我的数据是: ('State', 'Heart Disease Death Rate (2007)', 'Motor Vehicle Death Rate (2009)', 'Teen Birth Rate (2009)', 'Adult Smoking (2010)', 'Adult Obesity (2010)') ('Alabama', '235.5', '18.01', '50.7', '21.
('State', 'Heart Disease Death Rate (2007)', 'Motor Vehicle Death Rate (2009)', 'Teen Birth Rate (2009)', 'Adult Smoking (2010)', 'Adult Obesity (2010)')
('Alabama', '235.5', '18.01', '50.7', '21.90%', '33.00%')
('Alaska', '147.9', '9.16', '44.5', '20.40%', '25.20%')
('Arizona', '152.5', '12.24', '50.6', '13.50%', '24.70%')
('Arkansas', '221.8', '20.25', '59.3', '22.90%', '30.90%')
('California', '177.9', '8.34', '36.6', '12.10%', '24.70%')
我需要将列表改为:
'State', 'Heart Disease', Vehicle Death Rate', 'Teen Birth Rate', 'Adult Smoking , 'Adult Obesity
Alabama' '235.5', 18.01', '50.7', '21.90%', 33.00%'
Alaska, '147.9', '9.16', '44.5', '20.40%', 25.20%
Arizona', '152.5', '12.24', ' 50.6', '13.50%', '24.70%'
Arkansas', '221.8', '20.25', '59.3', '22.90%', '30.90%'
以下是我到目前为止的情况:
import csv
import pandas
import string, re
output = []
file1 = []
risk = open('riskfactors.csv', 'r').read() #find the file
reader = csv.reader(risk, delimiter='\t', quotechar='|')
try:
with open('riskfactors.csv', 'rU') as file1:
for line in file1:
cells = line.split(",")
output.append((cells[0], cells[1], cells[5], cells[7], cells[11], cells[13]))
for elem in output:
print(elem)
没有错误
我需要2.7.3,因为这是我使用导入熊猫的唯一方法
我应该怎么做才能正确打印
我觉得我离得很近,我错过了什么?如果您有任何建议,我们将不胜感激。要将列表打印为格式化字符串,您可以使用string.format函数,该函数允许您使用空格将值填充到指定长度 例如,如果你要
print "{0:<20}".format( "test" )
print“{0:Pandas有CSV解析工具:所以现在你把列表放在顶部(“我的数据读取”),你想把它编译成一个看起来像表的字符串?是的,它已经打印了,只需要把它编译成一个看起来像表的字符串。
outstring = ""
for item in output:
for cell in item:
outstring += "{0:<20} ".format( cell ) #change 20 to whatever you want the column width to be
outstring += "\n"
print outstring