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Excel Sort Features
How to view and sort xlsx files in Python
We can view and sort xlsx files in Python using Pandas or DuckDB
How to view and sort xlsx files using Pandas
First, we need to install pandas
Then we can load the xlsx file into a dataframe.
We can view the first few rows of the dataframe using the head method.
The n parameter controls how many rows are returned. Increase it to show more rows.
We can view the last few rows of the dataframe using the tail method.
We can sort the dataframe using the sort_values method.
Just replace 'column_name' with the name of the column you want to sort by. The 'ascending' parameter controls whether the values will be sorted in 'ascending' or 'descending' order.
We can filter the dataframe using comparison operators. The following statement will filter a dataframe to rows where the value of the 'column_name' column is greater than 5.
How to view and sort xlsx files using DuckDB
First, we need to install duckdb for Python
The following duckdb query will create a view from the input xlsx file.
Sometimes we have large file and it's impractical to read the whole file. We can read the first 5 rows using the following.
We can sort rows using the ORDER BY clause and a SQL comparison operator.
Just change 'column_name' for the column you want to sort by. Use ASC to sort ascending or DESC to sort descending.
We can also filter using SQL comparison operators and the WHERE clause.
You can change the 'column_name' to change the column you want to filter by. The operator (>) and value (5) control how the filtering is applied to 'column_name'.