使用pandas.read_csv读取部分标题CSV的问题

Question

I'm trying to read a csv file using pandas.read_csv when the files header is not full, ie, only some columns have names, others are empty.
When reading the data frame using .iloc I only get the columns which the header do not have any names. The reason some columns do not have names is that the column size is variable and I did not assign a name for each column.

here's an example of the code, input file and output

dataframe = pandas.read_csv('filename.csv', sep = ",", header = 0)
dataframe = dataframe.iloc[::]
dataset = dataframe.values[:,0:]

input file

A B C           
3 5 0      1    2   3

3   5   4      5    6   7

3   5   8      9    10  11

3   5   12     13   14  15

dataset output

dataset = [[1,2,3][5,6,7][9,10,11][13,14,15]]

How can I get dataframe to use the entire array (without the header)?

Answer 1

I think you need .values to get back numpy ndarray.

from io import StringIO

csv_file = StringIO("""A B C
3 5 0 1 2 3
3 5 4 5 6 7
3 5 8 9 10 11
3 5 12 13 14 15""")

df = pd.read_csv(csv_file,sep='\s',engine='python')
df.values

Output:

array([[ 1,  2,  3],
       [ 5,  6,  7],
       [ 9, 10, 11],
       [13, 14, 15]])

Answer 2

为什么在加载csv文件时不跳过= 1 ？