我用python 3编写了一个代码,它使用panda从表(.csv)中提取值并将其附加到列表中。我的代码是:
import os
import numpy as np
import csv
import pandas as pd
from generate_xml import write_xml
# global constants
img = None
tl_list = []
br_list = []
object_list = []
tl_x = []
tl_y = []
br_x =[]
br_y =[]
# constants
obj = 'red_hat'
df = pd.read_csv('ring_1_05_sam.csv')
tl_x = df.iloc[5:10, 0:1] - 30
tl_y = df.iloc[5:10, 1:2] - 30
br_x = df.iloc[5:10, 0:1] + 30
br_y = df.iloc[5:10, 1:2] + 30
tl_x = (tl_x.to_string(index=False, header=False))
tl_y = (tl_y.to_string(index=False, header=False))
br_x = (br_x.to_string(index=False, header=False))
br_y = (br_y.to_string(index=False, header=False))
tl_list = (tl_x, tl_y)
br_list = (br_x, br_y)
object_list.append(obj)
print(tl_list[0])
这给了我一个输出
1507.50
1507.44
1507.09
1507.00
如您所见,tl_list[]处的索引[0]有这4个元素。我的问题是如何单独访问它们?更具体地说,我想将每个值一次传递给一个函数
import os
import numpy as np
import csv
import pandas as pd
from generate_xml import write_xml
# global constants
img = None
tl_list = []
br_list = []
object_list = []
tl_x = []
tl_y = []
br_x =[]
br_y =[]
# constants
obj = 'red_hat'
df = pd.read_csv('ring_1_05_sam.csv')
tl_x = df.iloc[5:10, 0:1] - 30
tl_y = df.iloc[5:10, 1:2] - 30
br_x = df.iloc[5:10, 0:1] + 30
br_y = df.iloc[5:10, 1:2] + 30
tl_x = (tl_x.to_string(index=False, header=False))
tl_y = (tl_y.to_string(index=False, header=False))
br_x = (br_x.to_string(index=False, header=False))
br_y = (br_y.to_string(index=False, header=False))
tl_list = (tl_x, tl_y)
br_list = (br_x, br_y)
object_list.append(obj)
write_xml(image_folder, img, object_list, tl_list, br_list, savedir)
tl_list = []
br_list = []
object_list = []
img = None
所以我的write_xml函数在tl_list和br_list取第一个值,然后按顺序取下一个值。现在它同时讲述了所有的价值观。有什么办法吗?
