selecting specifi sequence of cells from a matrix

2 次查看(过去 30 天)
Hi, I have the price of one good (chocolate) that varies within one country (Greece) across time by store type, location, brand, pack size and whole market.
Using the following set of commands
%country
country=repmat({'Greece'}, [10,1]);
%product
prod=repmat({'chocolate'}, [10,1]);
%whole market
totalall1=repmat({'TTT'}, [5,1]);
totalall2=repmat({0}, [5,1]);
Totall=[ totalall1; totalall2];
%storetype
storetype1=repmat({'ST1'}, [2,1]) ;
storetype2=repmat({'ST2'}, [2,1]) ;
storetype3=repmat({'ST3'}, [2,1]) ;
storetype4=repmat({'ST4'}, [4,1]) ;
storetype=[storetype1; storetype2;storetype3;storetype4];
%location
location1=repmat({'l1'}, [3,1]) ;
location2=repmat({'l2'}, [3,1]) ;
location3=repmat({'l3'}, [4,1]) ;
location=[ location1; location2;location3];
%brand and pack size
bsk1=[repmat({'b1' }, [4,1]) repmat({'ps0' }, [4,1])];
bsk2=[repmat({'b2' }, [4,1]) repmat({'ps1' }, [4,1])];
bsk3=[repmat({'b2' }, [2,1]) repmat({'ps2' }, [2,1])];
bb=[bsk1;bsk2;bsk3];
myvarname = 'four_week';
eval([sprintf(myvarname) '=[021108 301108 281208 250109 220209 220309 190409 170509 140609 120709]']);
datemonthyear=four_week';
price=[1.4; 2;1.3;2.1;4.5;3;1.1;2.4;4;1];
mdata1 =[ country,prod, Totall, storetype, location, bb, num2cell(datemonthyear) num2cell(price) ];
I create this output
mdata1 =
Columns 1 through 6
'Greece' 'chocolate' 'TTT' 'ST1' 'l1' 'b1'
'Greece' 'chocolate' 'TTT' 'ST1' 'l1' 'b1'
'Greece' 'chocolate' 'TTT' 'ST2' 'l1' 'b1'
'Greece' 'chocolate' 'TTT' 'ST2' 'l2' 'b1'
'Greece' 'chocolate' 'TTT' 'ST3' 'l2' 'b2'
'Greece' 'chocolate' [ 0] 'ST3' 'l2' 'b2'
'Greece' 'chocolate' [ 0] 'ST4' 'l3' 'b2'
'Greece' 'chocolate' [ 0] 'ST4' 'l3' 'b2'
'Greece' 'chocolate' [ 0] 'ST4' 'l3' 'b2'
'Greece' 'chocolate' [ 0] 'ST4' 'l3' 'b2'
Columns 7 through 9
'ps0' [ 21108] [1.4000]
'ps0' [301108] [ 2]
'ps0' [281208] [1.3000]
'ps0' [250109] [2.1000]
'ps1' [220209] [4.5000]
'ps1' [220309] [ 3]
'ps1' [190409] [1.1000]
'ps1' [170509] [2.4000]
'ps2' [140609] [ 4]
'ps2' [120709] [ 1]
My question is the following. I want to develop a simple code that will enable me to find, for example, what the price of chocolate is in Greece when the product type is b1, location is l2, pack size is ps0, store type is st1 for the whole country (TTT). SO, I would like to get immediately the price that corresponds to a specific combination of store type, location, brand, pack size and whole market.
Thank you in advance, Stef

采纳的回答

Oleg Komarov
Oleg Komarov 2012-5-13
You might want to consider a relational database management system (RDBMS) such as mySQL. There is a little bit of learning curve but these type of operations are way more intuitive and easy to accomplish than with MATLAB.
Otherwise, what you have to do is:
idx = strcmp(mdata1(:,4),'st1') & strcmp(mdata1(:,6),'b1') & ...
mdata1{idx,end}
  1 个评论
ektor
ektor 2012-5-14
Thank oleg so much. it worked!
I was trying to save the output of mdata1{idx,end} into excel but so far I cant. Any suggestions?
Thank you again!
Stef

请先登录,再进行评论。

更多回答(3 个)

ektor
ektor 2012-5-14
It worked. THank you

ektor
ektor 2012-5-14
Thank oleg so much. it worked! I was trying to save the output of mdata1{idx,end} into excel but so far I cant. Any suggestions?
Thank you again! Stef

ektor
ektor 2012-5-14
Specifically, I want to save the output of mdata1{idx,end} into excel as well as the corresponding identifiers (that is the columns of store type, location, brand, pack size and whole market that correspond to the output of mdata1{idx,end})

类别

Help CenterFile Exchange 中查找有关 Financial Data 的更多信息

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by