Posts (page 70)
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7 min readTo query in string fields in Solr, you can use the query syntax to search for specific values in your string fields. You can use the "q" parameter in your Solr query to search for values in your string fields. For example, if you have a field called "name" and you want to search for documents where the name field contains the value "John", you can use a query like "q=name:John".
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4 min readTo get the maximum day value from a pandas dataframe, you can use the max() function on the specific column containing the day values.For example, if you have a dataframe df with a column named 'day', you can use df['day'].max() to get the maximum day value in that column. This will return the highest day value present in that column.Make sure that the 'day' column is in a format that is sortable and can be compared, such as integers or datetime objects.
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4 min readIn Solr, multi-dimensional arrays can be indexed in a field by explicitly defining the field type as a multiValued field in the schema. This allows Solr to store and index multiple values within a single field. To index a multi-dimensional array, you can create a custom field type in the schema.xml file that specifies the data type of the array elements and set the multiValued attribute to true. This will allow you to index and query the multi-dimensional array as a single field in Solr.
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3 min readYou can manually assign x-axis values using pandas by creating a new column in your DataFrame and assigning it the desired values. For example, you can create a new column called 'x_values' and assign it a list of values that correspond to the x-axis labels you want to use. Then, when you plot the data using pandas, you can specify the 'x' parameter as the 'x_values' column to use these values as the x-axis labels.
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7 min readTo use the join with sort feature in Solr, you first need to define a field in your schema that acts as a foreign key to join two different collections or documents. This field should contain the unique identifier of the document or collection you want to join with.Next, you can use the "join" parameter in your Solr query to specify the field you want to join on. This will effectively join the two collections or documents based on the specified field.
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4 min readTo convert the time format 09:20:05 into hours using pandas, you will first need to parse the string into a datetime object. You can do this by using the pd.to_datetime() function in pandas. Once you have the datetime object, you can extract the hour component using the .dt.hour attribute.Here is an example code snippet to achieve this: import pandas as pd time_str = '09:20:05' time_obj = pd.to_datetime(time_str) hours = time_obj.
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7 min readTo add a file in Solr, you can use the Solr API to send a POST request with the file as the body of the request. The file should be in a supported format such as JSON, XML, or CSV. You can specify the collection to which you want to add the file in the request URL. Solr will then index the contents of the file and make it searchable within the specified collection.
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6 min readTo compare two dataframes from xlsx files using pandas, you can read the files into pandas dataframes using the read_excel function and then use the equals method to compare the two dataframes. You can also use functions like equals, compare, or merge to compare specific columns or rows between the two dataframes. Additionally, you can use functions like isin or merge to identify matching or mismatching rows between the two dataframes.
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5 min readStoring nested relational data in Solr involves denormalizing the data structure to flatten it into a single document that can be easily indexed by Solr. This can be done by embedding related data within the parent document using a nested structure or by creating separate documents with references to each other. Another approach is to use Solr's parent-child or block join capabilities to maintain the relationship between nested documents.
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4 min readIn CodeIgniter, handling Solr disconnection can be done by implementing error handling mechanisms in the codebase.One way to handle Solr disconnection is by using try-catch blocks around Solr queries or requests. By wrapping the Solr operations in a try-catch block, you can catch any exceptions that are thrown when a disconnection occurs and handle them accordingly.Another approach is to check the connection status before making any Solr requests.
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3 min readTo intersect values over multiple columns in pandas, you can use the '&' operator along with the 'np.logical_and' function. By specifying the conditions for each column and combining them using these methods, you can find the intersection of values across multiple columns. This allows you to filter your pandas DataFrame based on the desired criteria and only retain rows that meet all specified conditions simultaneously.
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4 min readTo create a new collection in Solr, you can use the Collections API provided by Solr. This API allows you to perform various collections-related operations, including creating a new collection.To create a new collection, you need to send a POST request to the Collections API endpoint with the appropriate parameters. These parameters typically include the name of the collection, the number of shards, the replication factor, and other configuration settings.