`我有一个get_values(),它以list [x0,y0]的形式返回坐标。我的列名如下。我想获取每一列的值,但它正在堆叠列x0,y0
中的所有值fieldvalues =
["x0","y0","x1","y1","x2","y2","x3","y3","x4","y4","x5","y5","x6","y6","x7","y7","x8","y8","x9",
"y9","x10","y10","x11","y11","x12","y12","x13","y13","x14","y14","x15","y15","x16","y16","x17","y17"]
我已经尝试过此代码
get_val = oneObject.get_values(currentFrameIndex)
for humanPos in get_val:
fieldvalues.append(humanPos)
with open("./pose_data.csv",mode ='w') as csvfile:
wr = csv.writer(csvfile,dialect="excel")
wr.writerows(fieldvalue)
get_val具有以下形式的值-列表,例如[x0,y0],依此类推,直到[x17,y17]
当前代码的输出:
x0 y0 x1 y1 x2 y2 ....x17 y17
0 1
1 2
所需的输出:
x0 y0 x1 y1 x2 y2 ....x17 y17
0 1 2 3 4 5 ....3 3
1 2 5 5 5 6 ....4 1
感谢您的答复。谢谢。
答案 0 :(得分:0)
您可以使用以下附加函数:
df = pd.DataFrame([[1, 2], [3, 4]], columns=list('AB'))
>>> df
A B
0 1 2
1 3 4
>>> df2 = pd.DataFrame([[5, 6], [7, 8]], columns=list('AB'))
>>> df.append(df2)
A B
0 1 2
1 3 4
0 5 6
1 7 8
我希望这能回答您的问题:)
答案 1 :(得分:0)
初始化为fieldValues
的二级列表:
fieldvalues =[["x0","y0","x1","y1","x2","y2","x3","y3","x4","y4","x5","y5","x6","y6","x7","y7","x8","y8","x9", "y9","x10","y10","x11","y11","x12","y12","x13","y13","x14","y14","x15","y15","x16","y16","x17","y17"]]
并继续在其上附加行:
get_val = oneObject.get_values(currentFrameIndex)
fieldvalues[currentFrameIndex] = []
for humanPos in get_val:
fieldvalues[currentFrameIndex] = fieldvalues[currentFrameIndex] + humanPos
然后在fieldvalues
上进行迭代并在文件中写入行。