我有两组数据如下;
file a:
1476356687
1476356689
1476356690
file b:
"2016-10-13 12:04:47.706193",1000,516130
"2016-10-13 12:04:49.225305",2000,516130
"2016-10-13 12:04:50.439240",3000,516130
new_col=dataframe("file_a")
df=dataframe("file_b")
>> size(new_col)
ans =
3 1
>> size(df)
ans =
3 3
>> new_col(1:3,:)
ans = dataframe with 3 rows and 1 columns
_1 new_col
Nr double
1 1476356687
2 1476356689
3 1476356690
>> df(1:3,:)
ans = dataframe with 3 rows and 3 columns
Src: import_nbu_op
_1 X1 X2 X3
Nr char double double
1 2016-10-13 12:04:47.706193 1000 516130
2 2016-10-13 12:04:49.225305 2000 516130
3 2016-10-13 12:04:50.439240 3000 516130
我正在尝试将df的第1列设置为new_col，或者构建new_col的新数据帧和第2列：df的结尾
我已经尝试了很多东西，但是无法弄清楚它是如何起作用的....它来自像python这样的东西，这是疯狂的;）
我试过了，
>> df=dataframe(new_col,df)
error: Concatenating dataframes: use cat instead
error: called from
dataframe at line 568 column 5
>> df=cat(new_col,df)
error: Incorrect call to cat
error: called from
cat at line 197 column 7
>> df=cat(1,new_col,df)
error: Different number of columns in dataframes
error: called from
cat at line 50 column 11
>> df=cat(2,new_col,df)
df(1): out of bound 0
error: called from
display at line 66 column 7
>> df=cat(0,new_col,df)
error: Incorrect call to cat
error: called from
cat at line 197 column 7
display at line 66 column 7
>> cat(2,1,new_col,df)
error: Different number of rows in dataframes
error: called from
cat at line 109 column 11
>> cat(2,2,new_col,df)
error: Different number of rows in dataframes
error: called from
cat at line 109 column 11
>> horzcat(new_col,df)
error: df(2): out of bound 1
error: called from
display at line 66 column 7
>> df(:,1)=new_col
error: cast: TYPE must be a string
error: called from
cast at line 67 column 5
df_matassign at line 452 column 31
subsasgn at line 217 column 10
>> dataframe(df,new_col)
error: Concatenating dataframes: use cat instead
error: called from
dataframe at line 568 column 5
然后，Eureka我想！差不多了！至少我现在可以将col添加到框架中......
>> dataframe(df,new_col.array(:,:))
ans = dataframe with 3 rows and 4 columns
Src: import_nbu_op
_1 X1 X2 X3 X
Nr char double double double
1 2016-10-13 12:04:47.706193 1000 516130 1476356687
2 2016-10-13 12:04:49.225305 2000 516130 1476356689
3 2016-10-13 12:04:50.439240 3000 516130 1476356690
优异。所以我只需要交换df和new_col来创建我（几乎）想要的框架！只有几步之遥:)）
>> dataframe(new_col.array(:,:),df)
error: Concatenating dataframes: use cat instead
error: called from
dataframe at line 568 column 5
哎呀！怎么回事？
>> cat(1,new_col,df(:,2:end))
error: Different number of columns in dataframes
error: called from
cat at line 50 column 11
>> cat(2,new_col,df(:,2:end))
error: df(2): out of bound 1
error: called from
display at line 66 column 7
>> horzcat(new_col,df(:,2:end))
error: df(2): out of bound 1
帮助！ - 我尝试过比这更多的各种事情的排列，但这一切都以同样的方式结束:(
答案 0 :(得分：1)
我使用.cell属性而不是您尝试的.array让它工作：
>> concatenated = dataframe(cat(2, new_col.cell, df.cell))
concatenated = dataframe with 3 rows and 7 columns
_1 unnamed X unnamed1 unnamed2 X1 X2 X3
Nr char double double char char double double
1 1.4764e+09 1 2016-10-13 12:04:47.706193 1000 516130
2 1.4764e+09 2 2016-10-13 12:04:49.225305 2000 516130
3 1.4764e+09 3 2016-10-13 12:04:50.439240 3000 516130
然而，这导致列1,3和4作为假象（可能1和4来自空白字符，3是前面的'升序索引'数字）。所以我不得不删除这些来获取我的数据帧：
>> concatenated(:,[1,3,4]) = []
concatenated = dataframe with 3 rows and 4 columns
_1 X X1 X2 X3
Nr double char double double
1 1.4764e+09 2016-10-13 12:04:47.706193 1000 516130
2 1.4764e+09 2016-10-13 12:04:49.225305 2000 516130
3 1.4764e+09 2016-10-13 12:04:50.439240 3000 516130
我同意，但这个套装看起来确实很糟糕。
PS。 dataframe pkg特定于八度音阶。这个问题与matlab无关。 Matlab提供dataset和table类（我还看过datamatrix类，dataframe文件交换类。）