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Rename index pandas4/16/2023 If the index axis itself doesn’t have a name, the new column is added with the name “index”. Methods to rename the column resulting from reset_index() The pandas dataframe reset_index() function is used to reset the index of a dataframe and by default, it adds the previous index as a separate column in the dataframe (pass drop=True if you do not want to retain the previous index as a separate column). To learn more about the Pandas dataframe index.name attribute, check out the official documentation here.In this tutorial, we will look at how to rename the column resulting from the reset_index() function in pandas with the help of some examples. Finally, you learned how to remove a Pandas index name. You learned how to rename the index on a single-index dataframe as well as a multi-index dataframe. In this post, you learned how to rename a Pandas dataframe index, using the. In this section, you learned how to remove a Pandas dataframe index name. This returns a dataframe without a named index, as shown below: Carl Jane Melissa Lets see how we can do this with our original dataframe: import pandas as pd To remove a Pandas dataframe index name, we can simply assign it an empty string '' or the value of None. This can be particularly useful after you create a Pandas pivot table, since the index names can often be misleading. There may be many times when you don’t want your Pandas dataframe’s index to be called anything. In the final section, you’ll learn how to remove a Pandas dataframe index entirely. In this section, you learned how to rename the indices of a multi-index dataframe. This returns the following dataframe: Jane Melissa Let’s say we want to name them: ‘Time Period’ and ‘Average Sales’: df.index.names = Similarly, we can rename a multi-index dataframe indices by assigning a list to the. names attribute again: print(df.index.names) Now, when we want to see the names of the multi-index dataframe, we can call the. This returns the following Pandas dataframe: Jane Melissa Let’s load a multi-index dataframe and see how we can rename its index names: import pandas as pd We directly assign a list of values to the. This actually works in the same way as the method above. Working with Pandas multi-index dataframes can be a tricky thing – but renaming their indices doesn’t need to be. Now that you know how to rename a Pandas dataframe index, let’s see how to rename a multi-index dataframe. name attribute, we could have simply passed in the string 'Time Period'. Now, make note of the fact that we passed in a list of names. This returns the new dataframe below, with a renamed index: Carl Jane Melissa Let’s see how this looks in Python, by renaming our index to 'Time Period': df.index.names = Want to learn more? Check out my in-depth guide to Pandas pivot tables in my post here. This can be particularly helpful when renaming a Pandas dataframe index after using a Pandas pivot table function. So, to rename a Pandas dataframe index, we can simply assign something to that attribute. This would return just the value, rather than a list of values. name attribute if we know we only have one index. names attribute, that a list of all the index names are returned. Let’s see what that looks like in Python: # Get a dataframe index name We can access the dataframe index’s name by using the df.index.name attribute. Before we dive into that, let’s see how we can access a dataframe index’s name. Pandas makes it very easy to rename a dataframe index. Let’s get started on renaming a Pandas dataframe index. This returns the following dataframe: Carl Jane Melissa If you have your own dataframe you’re using, you may need to adjust some of the code to follow along. If you want to follow along with the dataframe, feel free to copy and paste the code below into your code editor of choice.
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