I have written data to a .csv file but it gives me extra values for the column indexes and I cant remove them.
values1 = featureVectors
header1 = ["Dataset Number","Number of Sides", "Standard Deviation of Number of Sides/Perimeter",
"Standard Deviation of the Angles", "Largest Angle"]
my_df = pd.DataFrame(featureVectors)
my_df.to_csv('featureVectors.csv', index=True, header=True, index_label=header1)
I have just used a few values as an example.
I need to get rid of the extra column headings(0,1,2,3) but cant figure it out.
Thanks.
答案 0 :(得分:1)
试试这个:
my_df.iloc[:, :len(header1[1:])] \
.to_csv('featureVectors.csv', index=True, header=header1[1:], index_label=header1[0])
答案 1 :(得分:0)
my_df.to_csv('featureVectors.csv', index=True, header=header1)
答案 2 :(得分:0)
根据pandas.DataFrame.to_csv
documentation,参数标头收到一个字符串列表或一个布尔值(默认为True)。
如果您将标题列表传递给header
参数并删除index_label
参数,它将根据您的意愿打印列名称。
我希望这会有所帮助。
答案 3 :(得分:0)
感谢您提出的建议和意见。我必须在答案之上再做一步。我更正的代码是:
values1 = featureVectors
header1 = ["Number of Sides", "Standard Deviation of Number of Sides/Perimeter",
"Standard Deviation of the Angles", "Largest Angle"]
my_df = pd.DataFrame(featureVectors)
my_df.to_csv('featureVectors.csv', index=True, header=header1)
然后我删除了
index_label=header1
并改变了
header=True
到
`header=header1`
如果我只是做了这两件事我会得到错误
ValueError: Writing 4 cols but got 5 aliases
所以我不得不删除第一个列标题“Dataset Number”来纠正这个问题。