How to do subtraction of fields in the same column. The KPI contains 6-7 columns as filters

Achint · July 2019

Hi All,

I have a query in building a KPI.

The instruction is given in the attached excel file(I am using two dummy columns here, but actually i have 6-7 columns).

In case of any queries please let me know. Thank you very much.

Best regards,
Achint

Telcontar120 · July 2019

Lag or Differentiate operator from Time Series should do what you are looking for. Check out the sample processes in the help menu.

lionelderkrikor · July 2019

Hi @Achint,

I propose 2 solutions from your initial example set :

Image: https://us.v-cdn.net/6030995/uploads/editor/xb/4fv2uofeopwd.png

Solution 1 :

This solution performs exactly what you want to do, but uses a Python script.
So you have to :
- Install Python on your computer.
- Install in RapidMiner the Python Scripting extension from the Marketplace.
The output example set looks like that :

Image: https://us.v-cdn.net/6030995/uploads/editor/fy/m6pghtmnf8y7.png

Solution 2 :
This solution displays the results in a other way (as in your Excel file), but use only RapidMiner's native operators (no Python script).
A "default_count" attribute is created and then the example set is pivoted (via the Pivot operator).
The output example set looks like that :

Image: https://us.v-cdn.net/6030995/uploads/editor/bv/ofbxacvxkgjv.png

The process :

<?xml version="1.0" encoding="UTF-8"?><process version="9.4.000-BETA">
  <context>
    <input/>
    <output/>
    <macros/>
  </context>
  <operator activated="true" class="process" compatibility="9.4.000-BETA" expanded="true" name="Process">
    <parameter key="logverbosity" value="init"/>
    <parameter key="random_seed" value="2001"/>
    <parameter key="send_mail" value="never"/>
    <parameter key="notification_email" value=""/>
    <parameter key="process_duration_for_mail" value="30"/>
    <parameter key="encoding" value="SYSTEM"/>
    <process expanded="true">
      <operator activated="true" class="utility:create_exampleset" compatibility="9.4.000-BETA" expanded="true" height="68" name="Create ExampleSet" width="90" x="179" y="85">
        <parameter key="generator_type" value="comma separated text"/>
        <parameter key="number_of_examples" value="100"/>
        <parameter key="use_stepsize" value="false"/>
        <list key="function_descriptions"/>
        <parameter key="add_id_attribute" value="false"/>
        <list key="numeric_series_configuration"/>
        <list key="date_series_configuration"/>
        <list key="date_series_configuration (interval)"/>
        <parameter key="date_format" value="yyyy-MM-dd HH:mm:ss"/>
        <parameter key="time_zone" value="SYSTEM"/>
        <parameter key="input_csv_text" value="Country, Gender,Q1&#10;Australia,M,Increase&#10;Australia,F,Increase,&#10;Australia,M,Increase&#10;Australia,M,Decrease&#10;India,M,Decrease&#10;India,F,Increase&#10;India,M,Decrease&#10;South Africa,F,Decrease&#10;UK,F,Increase&#10;"/>
        <parameter key="column_separator" value=","/>
        <parameter key="parse_all_as_nominal" value="false"/>
        <parameter key="decimal_point_character" value="."/>
        <parameter key="trim_attribute_names" value="true"/>
      </operator>
      <operator activated="true" class="multiply" compatibility="9.4.000-BETA" expanded="true" height="103" name="Multiply" width="90" x="246" y="187"/>
      <operator activated="true" class="generate_attributes" compatibility="9.4.000-BETA" expanded="true" height="82" name="Generate Attributes" width="90" x="380" y="238">
        <list key="function_descriptions">
          <parameter key="default_count" value="1"/>
        </list>
        <parameter key="keep_all" value="true"/>
      </operator>
      <operator activated="true" class="python_scripting:execute_python" compatibility="9.3.000" expanded="true" height="103" name="Execute Python" width="90" x="514" y="85">
        <parameter key="script" value="import pandas as pd&#10;&#10;# rm_main is a mandatory function, &#10;# the number of arguments has to be the number of input ports (can be none)&#10;def rm_main(data):&#10;&#10;  df1 = pd.DataFrame(data.groupby(['Country','Gender','Q1'])['Q1']\&#10;                   .count()).rename(columns={'Q1':'CountQ1'}).reset_index()&#10;                   &#10;  df2 =pd.pivot_table(data,index = ['Country','Gender'],&#10;                  columns = 'Q1',&#10;                  values = 'Q1',&#10;                  aggfunc = lambda x: len(x),&#10;                  margins_name = 'Q1').fillna(0).reset_index().copy()&#10;&#10;  df2 = df2.assign(CountQ1 = df2.Increase - df2.Decrease,&#10;           Q1='Net',&#10;           Net = df2.apply(lambda x: f'({int(x.Increase)}-{int(x.Decrease)})',axis=1))\&#10;  .drop(['Increase','Decrease'],axis=1)&#10;  &#10;  df3 = pd.concat([df1,df2]).sort_values(['Country','Gender'],ascending=(1,0))[['Country','Gender','Q1','CountQ1','Net']]&#10;&#10;&#10;    # connect 2 output ports to see the results&#10;  return df3"/>
        <parameter key="notebook_cell_tag_filter" value=""/>
        <parameter key="use_default_python" value="true"/>
        <parameter key="package_manager" value="conda (anaconda)"/>
      </operator>
      <operator activated="true" class="blending:pivot" compatibility="9.4.000-BETA" expanded="true" height="82" name="Pivot" width="90" x="514" y="238">
        <parameter key="group_by_attributes" value="Country|Gender"/>
        <parameter key="column_grouping_attribute" value="Q1"/>
        <list key="aggregation_attributes">
          <parameter key="default_count" value="count"/>
        </list>
        <parameter key="use_default_aggregation" value="false"/>
        <parameter key="default_aggregation_function" value="first"/>
      </operator>
      <operator activated="true" class="replace_missing_values" compatibility="9.4.000-BETA" expanded="true" height="103" name="Replace Missing Values" width="90" x="648" y="238">
        <parameter key="return_preprocessing_model" value="false"/>
        <parameter key="create_view" value="false"/>
        <parameter key="attribute_filter_type" value="all"/>
        <parameter key="attribute" value=""/>
        <parameter key="attributes" value=""/>
        <parameter key="use_except_expression" value="false"/>
        <parameter key="value_type" value="attribute_value"/>
        <parameter key="use_value_type_exception" value="false"/>
        <parameter key="except_value_type" value="time"/>
        <parameter key="block_type" value="attribute_block"/>
        <parameter key="use_block_type_exception" value="false"/>
        <parameter key="except_block_type" value="value_matrix_row_start"/>
        <parameter key="invert_selection" value="false"/>
        <parameter key="include_special_attributes" value="false"/>
        <parameter key="default" value="zero"/>
        <list key="columns"/>
      </operator>
      <operator activated="true" class="generate_attributes" compatibility="9.4.000-BETA" expanded="true" height="82" name="Generate Attributes (2)" width="90" x="782" y="238">
        <list key="function_descriptions">
          <parameter key="Net" value="[count(default_count)_Increase]-[count(default_count)_Decrease]"/>
        </list>
        <parameter key="keep_all" value="true"/>
      </operator>
      <operator activated="true" class="rename" compatibility="9.4.000-BETA" expanded="true" height="82" name="Rename" width="90" x="916" y="238">
        <parameter key="old_name" value="count(default_count)_Decrease"/>
        <parameter key="new_name" value="Decrease"/>
        <list key="rename_additional_attributes">
          <parameter key="count(default_count)_Increase" value="Increase"/>
        </list>
      </operator>
      <operator activated="true" class="order_attributes" compatibility="9.4.000-BETA" expanded="true" height="82" name="Reorder Attributes" width="90" x="1050" y="238">
        <parameter key="sort_mode" value="user specified"/>
        <parameter key="attribute_ordering" value="Country|Gender|count(default_count)_Infinity|count(default_count)_-Infinity|Net"/>
        <parameter key="use_regular_expressions" value="false"/>
        <parameter key="handle_unmatched" value="append"/>
        <parameter key="sort_direction" value="descending"/>
      </operator>
      <connect from_op="Create ExampleSet" from_port="output" to_op="Multiply" to_port="input"/>
      <connect from_op="Multiply" from_port="output 1" to_op="Execute Python" to_port="input 1"/>
      <connect from_op="Multiply" from_port="output 2" to_op="Generate Attributes" to_port="example set input"/>
      <connect from_op="Generate Attributes" from_port="example set output" to_op="Pivot" to_port="input"/>
      <connect from_op="Execute Python" from_port="output 1" to_port="result 1"/>
      <connect from_op="Pivot" from_port="output" to_op="Replace Missing Values" to_port="example set input"/>
      <connect from_op="Replace Missing Values" from_port="example set output" to_op="Generate Attributes (2)" to_port="example set input"/>
      <connect from_op="Generate Attributes (2)" from_port="example set output" to_op="Rename" to_port="example set input"/>
      <connect from_op="Rename" from_port="example set output" to_op="Reorder Attributes" to_port="example set input"/>
      <connect from_op="Reorder Attributes" from_port="example set output" to_port="result 2"/>
      <portSpacing port="source_input 1" spacing="0"/>
      <portSpacing port="sink_result 1" spacing="0"/>
      <portSpacing port="sink_result 2" spacing="0"/>
      <portSpacing port="sink_result 3" spacing="0"/>
    </process>
  </operator>
</process>

Hope this helps,

Regards,

Lionel

How to do subtraction of fields in the same column. The KPI contains 6-7 columns as filters

Answers

Categories