How to delete attributes or rows of the exampleset automatically
Hi guys,
i am a new member of the Rapidminer community and would like know, how can i just remove or delete automatically several attributes or rows, which contain certain kind values? For my apllication i dont need the time stamp and would like to delete them from my example set. Thank you
i am a new member of the Rapidminer community and would like know, how can i just remove or delete automatically several attributes or rows, which contain certain kind values? For my apllication i dont need the time stamp and would like to delete them from my example set. Thank you
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Hi @lionelderkrikor,thank you for your interest. My intention is, that i would like to extract the data of a application through its URL-Adresses. With the data i would like to create a exempleset, which should look like this
Here is my process so far.
<?xml version="1.0" encoding="UTF-8"?>
Here is my process so far.
<?xml version="1.0" encoding="UTF-8"?>
-<process version="9.6.000">
-<context>
<input/>
<output/>
<macros/>
</context>
-<operator name="Process" expanded="true" compatibility="9.6.000" class="process" activated="true">
<parameter value="init" key="logverbosity"/>
<parameter value="2001" key="random_seed"/>
<parameter value="never" key="send_mail"/>
<parameter value="" key="notification_email"/>
<parameter value="30" key="process_duration_for_mail"/>
<parameter value="SYSTEM" key="encoding"/>
-<process expanded="true">
-<operator name="Read Excel" expanded="true" compatibility="9.6.000" class="read_excel" activated="true" y="34" x="45" width="90" height="68">
<parameter value="/home/hailuong/Documents/Link.Parameter.ECOKI.2020-05-11.xlsx" key="excel_file"/>
<parameter value="sheet number" key="sheet_selection"/>
<parameter value="1" key="sheet_number"/>
<parameter value="A1" key="imported_cell_range"/>
<parameter value="SYSTEM" key="encoding"/>
<parameter value="true" key="first_row_as_names"/>
<list key="annotations"/>
<parameter value="" key="date_format"/>
<parameter value="SYSTEM" key="time_zone"/>
<parameter value="English (United States)" key="locale"/>
<parameter value="false" key="read_all_values_as_polynominal"/>
-<list key="data_set_meta_data_information">
<parameter value="Link.true.polynominal.file_path" key="0"/>
</list>
<parameter value="false" key="read_not_matching_values_as_missings"/>
<parameter value="double_array" key="datamanagement"/>
<parameter value="auto" key="data_management"/>
</operator>
-<operator name="Get Pages" expanded="true" compatibility="9.3.001" class="web:retrieve_webpages" activated="true" y="34" x="179" width="90" height="68">
<parameter value="Link" key="link_attribute"/>
<parameter value="false" key="random_user_agent"/>
<parameter value="10000" key="connection_timeout"/>
<parameter value="10000" key="read_timeout"/>
<parameter value="true" key="follow_redirects"/>
<parameter value="none" key="accept_cookies"/>
<parameter value="global" key="cookie_scope"/>
<parameter value="GET" key="request_method"/>
<parameter value="none" key="delay"/>
<parameter value="1000" key="delay_amount"/>
<parameter value="0" key="min_delay_amount"/>
<parameter value="1000" key="max_delay_amount"/>
</operator>
-<operator name="Data to Documents" expanded="true" compatibility="9.3.001" class="text:data_to_documents" activated="true" y="34" x="313" width="90" height="68">
<parameter value="false" key="select_attributes_and_weights"/>
<list key="specify_weights"/>
</operator>
<operator name="Combine Documents" expanded="true" compatibility="9.3.001" class="text:combine_documents" activated="true" y="34" x="447" width="90" height="82"/>
-<operator name="Remove Document Parts" expanded="true" compatibility="9.3.001" class="text:remove_document_parts" activated="true" y="34" x="581" width="90" height="68">
<parameter value="item_time|item_value|" key="deletion_regex"/>
</operator>
-<operator name="Split Document into Collection" expanded="true" compatibility="2.4.000" class="operator_toolbox:split_document_into_collection" activated="true" y="187" x="45" width="90" height="82">
<parameter value="\n" key="split_string"/>
</operator>
-<operator name="Split" expanded="true" compatibility="9.6.000" class="split" activated="true" y="187" x="179" width="90" height="82">
<parameter value="value_type" key="attribute_filter_type"/>
<parameter value="Token" key="attribute"/>
<parameter value="" key="attributes"/>
<parameter value="false" key="use_except_expression"/>
<parameter value="nominal" key="value_type"/>
<parameter value="false" key="use_value_type_exception"/>
<parameter value="file_path" key="except_value_type"/>
<parameter value="single_value" key="block_type"/>
<parameter value="false" key="use_block_type_exception"/>
<parameter value="single_value" key="except_block_type"/>
<parameter value="false" key="invert_selection"/>
<parameter value="false" key="include_special_attributes"/>
<parameter value="," key="split_pattern"/>
<parameter value="ordered_split" key="split_mode"/>
</operator>
-<operator name="Replace" expanded="true" compatibility="9.6.000" class="replace" activated="true" y="187" x="313" width="90" height="82">
<parameter value="all" key="attribute_filter_type"/>
<parameter value="" key="attribute"/>
<parameter value="" key="attributes"/>
<parameter value="false" key="use_except_expression"/>
<parameter value="nominal" key="value_type"/>
<parameter value="false" key="use_value_type_exception"/>
<parameter value="file_path" key="except_value_type"/>
<parameter value="single_value" key="block_type"/>
<parameter value="false" key="use_block_type_exception"/>
<parameter value="single_value" key="except_block_type"/>
<parameter value="false" key="invert_selection"/>
<parameter value="false" key="include_special_attributes"/>
<parameter value="[-!"#$%&'()*+/;:<=>?@\[\\\]_`{|}~]" key="replace_what"/>
<parameter value=" " key="replace_by"/>
</operator>
-<operator name="Trim" expanded="true" compatibility="9.6.000" class="trim" activated="true" y="187" x="447" width="90" height="82">
<parameter value="all" key="attribute_filter_type"/>
<parameter value="" key="attribute"/>
<parameter value="" key="attributes"/>
<parameter value="false" key="use_except_expression"/>
<parameter value="nominal" key="value_type"/>
<parameter value="false" key="use_value_type_exception"/>
<parameter value="file_path" key="except_value_type"/>
<parameter value="single_value" key="block_type"/>
<parameter value="false" key="use_block_type_exception"/>
<parameter value="single_value" key="except_block_type"/>
<parameter value="false" key="invert_selection"/>
<parameter value="false" key="include_special_attributes"/>
</operator>
<operator name="Transpose" expanded="true" compatibility="9.6.000" class="transpose" activated="true" y="187" x="581" width="90" height="82"/>
-<operator name="Select Attributes" expanded="true" compatibility="9.6.000" class="select_attributes" activated="true" y="340" x="447" width="90" height="82">
<parameter value="single" key="attribute_filter_type"/>
<parameter value="id" key="attribute"/>
<parameter value="" key="attributes"/>
<parameter value="false" key="use_except_expression"/>
<parameter value="attribute_value" key="value_type"/>
<parameter value="false" key="use_value_type_exception"/>
<parameter value="time" key="except_value_type"/>
<parameter value="attribute_block" key="block_type"/>
<parameter value="false" key="use_block_type_exception"/>
<parameter value="value_matrix_row_start" key="except_block_type"/>
<parameter value="true" key="invert_selection"/>
<parameter value="true" key="include_special_attributes"/>
</operator>
-<operator name="Remove Useless Attributes" expanded="true" compatibility="9.6.000" class="remove_useless_attributes" activated="true" y="340" x="581" width="90" height="82">
<parameter value="0.0" key="numerical_min_deviation"/>
<parameter value="1.0" key="nominal_useless_above"/>
<parameter value="false" key="nominal_remove_id_like"/>
<parameter value="0.0" key="nominal_useless_below"/>
</operator>
<connect to_port="Example Set" to_op="Get Pages" from_port="output" from_op="Read Excel"/>
<connect to_port="example set" to_op="Data to Documents" from_port="Example Set" from_op="Get Pages"/>
<connect to_port="documents 1" to_op="Combine Documents" from_port="documents" from_op="Data to Documents"/>
<connect to_port="document" to_op="Remove Document Parts" from_port="document" from_op="Combine Documents"/>
<connect to_port="document" to_op="Split Document into Collection" from_port="document" from_op="Remove Document Parts"/>
<connect to_port="example set input" to_op="Split" from_port="example set" from_op="Split Document into Collection"/>
<connect to_port="example set input" to_op="Replace" from_port="example set output" from_op="Split"/>
<connect to_port="example set input" to_op="Trim" from_port="example set output" from_op="Replace"/>
<connect to_port="example set input" to_op="Transpose" from_port="example set output" from_op="Trim"/>
<connect to_port="example set input" to_op="Select Attributes" from_port="example set output" from_op="Transpose"/>
<connect to_port="example set input" to_op="Remove Useless Attributes" from_port="example set output" from_op="Select Attributes"/>
<connect to_port="result 1" from_port="example set output" from_op="Remove Useless Attributes"/>
<portSpacing spacing="0" port="source_input 1"/>
<portSpacing spacing="0" port="sink_result 1"/>
<portSpacing spacing="0" port="sink_result 2"/>
</process>
</operator>
</process>
So after Combine Documents Operator i got a Dataset, which look like that
the example set looks like that before transpose
and at the end of the whole process like that
So if you take a look at my first picture, then maybe you would know my intention of my set up. If i could clear up the time stamp in the rows, then i will get exact the same dataset like the one in the first picture. And because i work with a dynamic data set, therefore i would like to know to delete the rows, colums or unwanted values in my exampleset automatically, so that i would'nt just have to delete the rows, colums , attributes or values by hand. Sorry for the long answer. i hope, i could express well, what i would like to do.
So after Combine Documents Operator i got a Dataset, which look like that
the example set looks like that before transpose
and at the end of the whole process like that
So if you take a look at my first picture, then maybe you would know my intention of my set up. If i could clear up the time stamp in the rows, then i will get exact the same dataset like the one in the first picture. And because i work with a dynamic data set, therefore i would like to know to delete the rows, colums or unwanted values in my exampleset automatically, so that i would'nt just have to delete the rows, colums , attributes or values by hand. Sorry for the long answer. i hope, i could express well, what i would like to do.
Hi @sharki,
What is the complete pattern of your timestamp ? (ie DD.MM.YYYY ? or something else ..?)
In the screenshot you shared, the timestamp is truncated so, I can not determine it.
Regards,
Lionel
What is the complete pattern of your timestamp ? (ie DD.MM.YYYY ? or something else ..?)
In the screenshot you shared, the timestamp is truncated so, I can not determine it.
Regards,
Lionel
Hi @lionelderkrikor,
the pattern of the timestamp is DD.MM.YYYY HH:MM i guess. The application records every ten minutes different values of the parameters, which are measured by several sensores.
the pattern of the timestamp is DD.MM.YYYY HH:MM i guess. The application records every ten minutes different values of the parameters, which are measured by several sensores.
Hi @sharki,
That was interesting to solve !
The idea here is to find and replace the timestamp values by the caracter "?" using a regex to "capture" the timestamp values for each attribute, so I'm using Generate Attributes operator with the following expression :
Note that the attributes names have to be "att_1", "att_2", "att_3" etc. ... but according to the last screenshot of your first post it is already the case.
You have just to put the process in attached file at the end of your own process.
Hope this helps,
Regards,
Lionel
PS : In attached file, the .xls file I used to create a fictive exampleset representative of yours.
That was interesting to solve !
The idea here is to find and replace the timestamp values by the caracter "?" using a regex to "capture" the timestamp values for each attribute, so I'm using Generate Attributes operator with the following expression :
if(finds(eval(concat("att_",%{iteration})),"(0[1-9]|[1-2][0-9]|3[0-1]).(0[1-9]|1[0-2]).[0-9]{4} (2[0-3]|[01][0-9]):[0-5][0-9]"),"?",eval(concat("att_",%{iteration})))
then I loop over the attributes to remove the example(s) which contains the caracter "?"...Note that the attributes names have to be "att_1", "att_2", "att_3" etc. ... but according to the last screenshot of your first post it is already the case.
You have just to put the process in attached file at the end of your own process.
Hope this helps,
Regards,
Lionel
PS : In attached file, the .xls file I used to create a fictive exampleset representative of yours.
Hi @lionelderkrikor, you are just genius and a brillian rapidminer magician! thanks for your effort! ^^
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Hi @sharki,
That was interesting to solve !
The idea here is to find and replace the timestamp values by the caracter "?" using a regex to "capture" the timestamp values for each attribute, so I'm using Generate Attributes operator with the following expression :
Note that the attributes names have to be "att_1", "att_2", "att_3" etc. ... but according to the last screenshot of your first post it is already the case.
You have just to put the process in attached file at the end of your own process.
Hope this helps,
Regards,
Lionel
PS : In attached file, the .xls file I used to create a fictive exampleset representative of yours.
That was interesting to solve !
The idea here is to find and replace the timestamp values by the caracter "?" using a regex to "capture" the timestamp values for each attribute, so I'm using Generate Attributes operator with the following expression :
if(finds(eval(concat("att_",%{iteration})),"(0[1-9]|[1-2][0-9]|3[0-1]).(0[1-9]|1[0-2]).[0-9]{4} (2[0-3]|[01][0-9]):[0-5][0-9]"),"?",eval(concat("att_",%{iteration})))
then I loop over the attributes to remove the example(s) which contains the caracter "?"...Note that the attributes names have to be "att_1", "att_2", "att_3" etc. ... but according to the last screenshot of your first post it is already the case.
You have just to put the process in attached file at the end of your own process.
Hope this helps,
Regards,
Lionel
PS : In attached file, the .xls file I used to create a fictive exampleset representative of yours.
I have maybe an idea. Can you share your dataset ?
In addition, can you elaborate :
What do you want to do exactly ?
- if an attribute contains at least a date, you remove this attribute ?
- if a row contains at least a date, you remove the row ?
Regards,
Lionel