Скачать или смотреть how to add a row to a data frame in pandas python

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certainly! adding a row to a dataframe in pandas can be done using several methods. below, i'll provide a step-by-step tutorial along with code examples.

step 1: import pandas

first, you need to import the pandas library. if you haven't installed it yet, you can do so using pip:



now, import pandas in your python environment:



step 2: create a sample dataframe

let's create a sample dataframe to work with:



step 3: adding a row to the dataframe

there are several common methods to add a row to a dataframe:

method 1: using `loc`

you can use the `loc` indexer to add a new row by specifying the index:



method 2: using `append`

another method is to use the `append` function. note that this method returns a new dataframe and does not modify the original dataframe in place.



method 3: using `concat`

the `concat` function can also be used to add a new row. this method is often preferred for adding multiple rows.



summary

in this tutorial, we covered three methods to add rows to a pandas dataframe:

1. **using `loc`**: directly assigning a new row based on the index.
2. **using `append`**: appending a new dataframe to the original one (note that this is deprecated in recent versions of pandas).
3. **using `concat`**: combining two dataframes together.

conclusion

each method has its own use case, and you can choose based on your needs whether you are adding one row or multiple rows. remember that modifying a dataframe in place can sometimes lead to unexpected behavior if you're not careful, so ensure you're aware of whether the method returns a new dataframe or modifies the existing one.

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