How to select multiple contain conditions in a table?

Question

Joy Shen 2023-6-13

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此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/1982544-how-to-select-multiple-contain-conditions-in-a-table

移动：Stephen23 2023-6-14

LOOP Events.xlsx

Hi, I'm basically trying to filter my results to remove irrelevant rows based on two string conditions. I've attached the xslx file. I need to know the specific cause when the operating mode is 'critical' and the LOOP category is 'WR'. Basically isolating all the rows in the table where my two conditions are met.

Data = readtable('LOOP Events.xlsx','Range','D2:K370'); % Load excel from specified sheet
%LOOPS = cat(2,Data(:,1),Data(:,2),Data(:,3));
LOOPS = cat(2,table2array(Data(:,1)),table2array(Data(:,7)));%,table2array(Data(:,8)));
LOOPS = LOOPS(~all(cellfun(@isempty,LOOPS),2),:);
substr = {'Critical','SEE','EEE'};
selectedcol = contains(LOOPS,substr);
Cause = Data(:,3);
Select_Cause= Cause(selectedcol,:)

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Answer 1

Stephen23 2023-6-13

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链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/1982544-how-to-select-multiple-contain-conditions-in-a-table#answer_1255034

编辑：Stephen23 2023-6-13

在 MATLAB Online 中打开

LOOP Events.xlsx

The MATLAB approach:

T = readtable('LOOP Events.xlsx','Range','D:K');
Warning: Column headers from the file were modified to make them valid MATLAB identifiers before creating variable names for the table. The original column headers are saved in the VariableDescriptions property.
Set 'VariableNamingRule' to 'preserve' to use the original column headers as table variable names.
T = rmmissing(T) % remove empty rows
T = 186×8 table
OperatingModeLOOPCategoryLOOPClassSwitchyardRestorationTimePotentialBusRecoveryTimeActualBusRestorationTimeCauseSpecificCause________________________________________________________________________________________________________________________________________

    {'Critical'}        {'SC'}       {'LOOP-IE-I' }                15                           28                          28              {'HES'  }    {'Maintenance'}
    {'Critical'}        {'SC'}       {'LOOP-IE-I' }                 0                            4                           4              {'Equip'}    {'Breaker'    }
    {'Shutdown'}        {'SC'}       {'LOOP-SD'   }                15                           28                          28              {'HES'  }    {'Maintenance'}
    {'Shutdown'}        {'SC'}       {'LOOP-SD'   }                77                           82                          82              {'Equip'}    {'Other'      }
    {'Shutdown'}        {'SC'}       {'LOOP-SD'   }                62                           63                          63              {'Equip'}    {'Transformer'}
    {'Critical'}        {'SC'}       {'LOOP-IE-I' }                95                          118                         213              {'Equip'}    {'Breaker'    }
    {'Shutdown'}        {'WR'}       {'LOOP-SD'   }               528                          533                         533              {'SEE'  }    {'High Winds' }
    {'Critical'}        {'SC'}       {'LOOP-IE-I' }                 1                            2                        3097              {'Equip'}    {'Relay'      }
    {'Critical'}        {'WR'}       {'LOOP-IE-I' }                 1                           16                        7414              {'EEE'  }    {'Tornado'    }
    {'Critical'}        {'WR'}       {'LOOP-IE-I' }                 1                           16                        7414              {'EEE'  }    {'Tornado'    }
    {'Shutdown'}        {'SC'}       {'LOOP-SD'   }                39                           44                          44              {'Equip'}    {'Transformer'}
    {'Critical'}        {'WR'}       {'LOOP-IE-I' }                 1                           16                        7414              {'EEE'  }    {'Tornado'    }
    {'Critical'}        {'SC'}       {'LOOP-IE-I' }                86                           91                         101              {'Equip'}    {'Relay'      }
    {'Critical'}        {'PC'}       {'LOOP-IE-NC'}                60                           62                         781              {'HE'   }    {'Switching'  }
    {'Shutdown'}        {'WR'}       {'LOOP-SD'   }              1120                         1125                        1508              {'SEE'  }    {'Salt Spray' }
    {'Shutdown'}        {'SC'}       {'LOOP-SD'   }                15                           30                         136              {'HES'  }    {'Testing'    }
X = matches(T.OperatingMode,'Critical') & matches(T.Cause,{'SEE','HEE'});
Select_Cause = T.LOOPClass(X)
Select_Cause = 19×1 cell array
    {'LOOP-IE-NC'}
    {'LOOP-IE-NC'}
    {'LOOP-IE-NC'}
    {'LOOP-IE-NC'}
    {'LOOP-IE-NC'}
    {'LOOP-IE-I' }
    {'LOOP-IE-NC'}
    {'LOOP-IE-NC'}
    {'LOOP-IE-I' }
    {'LOOP-IE-I' }
    {'LOOP-IE-I' }
    {'LOOP-IE-I' }
    {'LOOP-IE-I' }
    {'LOOP-IE-I' }
    {'LOOP-IE-I' }
    {'LOOP-IE-I' }
    {'LOOP-IE-I' }
    {'LOOP-IE-I' }
    {'LOOP-IE-I' }

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Joy Shen 2023-6-14

移动：Stephen23 2023-6-14

How elegant, thank you

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How to select multiple contain conditions in a table?

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