delete rows with specific text without sorting

sure! below is a step-by-step tutorial on how to delete rows with specific text from a dataset using python with the pandas library. this method allows you to remove rows without sorting the dataframe.

prerequisites
make sure you have python and pandas installed. if you don't have pandas installed, you can install it using pip:

tutorial: deleting rows with specific text

step 1: import pandas and create a dataframe

first, you need to import the pandas library and create a sample dataframe. here’s how you can do it:

step 2: identify rows to delete

suppose you want to delete all rows where the `city` column contains the text "los angeles". you can do this by using a boolean mask.

step 3: delete the rows

you can filter the dataframe to only keep the rows that do not contain the specific text. here’s how to do it:

full code example

here’s the complete code combining all the steps mentioned above:

output

when you run the above code, the output will be:

explanation

- **boolean masking**: the expression `df['city'] != text_to_remove` creates a boolean mask that is `true` for all rows where the `city` is not "los angeles".
- **filtering**: by using this mask, we filter the dataframe to keep only the rows where the condition is met.

conclusion

this tutorial showed you how to delete rows from a dataframe that contain specific text without sorting the data. you can adapt this method for different columns and conditions as per your needs.

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