Question

是否可以以这种格式读取CSV文件：

"name","foo"
"class","9"
"age","34"
"gender","F"

进入这样的结果数据框：

   name  class  age  gender
0  foo     9    34    F

Answer 1

用熊猫：

df = pd.read_csv('myfile.csv', index_col=False, header=None)
df2 = pd.DataFrame(pd.DataFrame(df[1]).T) 
header = df[0]
header.name = None
df2.columns = header
df2.index = [0]

现在df2包含：

   name class age gender
0  foo     9  34      F

Answer 2

是的，请参阅DictReader

>>> import csv
>>> with open('names.csv') as csvfile:
...     reader = csv.DictReader(csvfile)
...     for row in reader:
...         print(row['first_name'], row['last_name'])

Answer 3

请尝试以下选项。

configreader = csv.DictReader(open(configuration_file_path))
        result = {}
        for row in configreader:
            for column, value in row.iteritems():
                result.setdefault(column, []).append(value)
       print "    ".join(result.keys())
       for index in range(len(result["name"])):
           print "{0}->{1}-->{2}".format(index, result["name"][index],result["foo"][index])

Answer 4

如果您将第一列作为标题，第二列作为值，则下面的选项可能很有用

fhandle = open("d:\\a.csv")
result = {}
for row in fhandle:
    row = row.strip()
    item = row.split(",")
    if len(item) > 1:
        if item[0] not in result:
            result[item[0]] = []
        result[item[0]].append(item[1])
print "    ".join(result.keys())
for index in range(0,len(result.values()[0])):
    for key in result.keys():
        print result[key][index] + "    ",
    print "\n",

读取具有列名称作为一个列单元格值的csv文件

4 个答案: