1 Turn colC into a pd.DataFrame. Appropriate credit goes to Oleg on stackoverflow for the start of this solution in the question How to explode a list inside a Dataframe cell into separate rows. If True, the resulting index will be labeled 0, 1, , n - 1. Let's append the list with step-wise: Step 1: Create a simple dataframe using the list. Python df_melt.names.apply(pd.Series) Merge the new columns with the rest of the data set. For this, use the pandas concat() function. Pandas provide a convenient way to handle data and its transformation. It is similar to the python string split () function but applies to the entire dataframe column. The Pandas provide the feature to split Dataframe according to column index, row index, and column values, etc. I want to split these into several new columns though. Pandas: split an Excel column populated with a dropdown menu into multiple dataframe columns and isolate typos. This gives us our expanded and cleaned data. How to react to a students panic attack in an oral exam? Another option is itertools.chain. However with an assignment (=) operator you can also set the value of a cell or insert a new row all together at the bottom of the dataframe. I found it helpful to walk through each line of the function. To use this function in a pipeline, I need to turn it into a pandas accessor function you can read more about these in the pandas documentation here. To do use this kind of logic in a single pandas expression you might consider using pandas where and mask functions but a) is more thinking than I care to do at the moment and b) is overkill for my needs. How to Sort a Pandas DataFrame based on column names or row index? I think the question was about lists with same length in the first column, but with slight modifications you can do different list lengths -- see my edit, Pandas expand rows from list data available in column, gist.github.com/BurakaKrishna/538cdad998247b95f9b2898015360a8e, The open-source game engine youve been waiting for: Godot (Ep. If you continue to use this site we will assume that you are happy with it. Solution #1: In order to iterate over the rows of the Pandas dataframe we can use DataFrame.iterrows () function and then we can append the data of each row to the end of the list. To create a table by defining a specific number of rows and columns (up to a maximum of 63 columns), follow these steps: Click the Insert tab. How to expand rows from list data available in column? Asking for help, clarification, or responding to other answers. We need to get rid of these but pandas doesnt have any clever way of dropping them efficiently (as it can with NaN values). How to create column with many values per row? Not me, this is a good answer. Power Query to Split Values into Columns Get a list from Pandas DataFrame column headers. However, I was a bit wary of using .apply(pd.Series) since the performance of this can be an issue with large datasets. As with the previous example, the index is not sequential, so we need to fix that by resetting the index. What would happen if you use the above method on a column which has lists of variable lengths? import pandas as pd Step 2: Create a List of Dictionary items Before converting a dictionary into the data frame let's create a sample dictionary. Is there any way to split the columns of list to rows in pandas, How to unnest (explode) a column in a pandas DataFrame, into multiple rows, Pandas groupby and value counts for complex strings that have multiple occurrences, delimit/split row values and form individual rows, Expand lists in a dataframe, but with two columns containing the lists, element wise search on pandas column that has list string data. Since you have a list of comma separated strings, split the string on comma to get a list of elements, then call explode on that column. removing particular rows from DataFrame in python pandas. An example of a pandas pipeline is something like this. My solution is modification of his and most credit goes to him. Why does Jesus turn to the Father to forgive in Luke 23:34? Python df_melt = df.assign (names=df.names.str.split (",")) print(df_melt) Output: Now, split names column list values (columns with individual list values are created). Many ways to skin a cat but stack or concatenate is the fastest way to chain the sublists. For multiple columns, specify a non-empty list with each element be str or tuple, and all specified columns their list-like data on same row of the frame must have matching length. Scalars will be returned unchanged. When working with pandas dataframe, you may find yourself in situations where you have a column with values as lists that youd rather have in separate columns. How to Filter Rows Based on Column Values with query function in Pandas? Empty list-likes will result in a np.nan for that row. To subscribe to this RSS feed, copy and paste this URL into your RSS reader. Let's say there are two keys to it that are the name of the country and its capital. Filter rows by criteria and select multiple columns from a dataframe with python pandas. DataFrame.shape returns a tuple containing number of rows as first element and number of columns as second element. To get started, open a Jupyter notebook and install or upgrade the Pandas package to the latest version using the Pip Python package management system. How do I make a flat list out of a list of lists? Return DataFrame item using partial string match on rows pandas python. Used to determine the groups for the groupby. Ive seen a couple of answers to splitting lists into rows but nothing completely satisfactory. If we were to try to use this pipeline with an input DataFrame with IP address lists instead of individual values, the WhoIs lookup (second line of the pipeline above) would not work and our pipeline would fail. Now combine the above steps. This function was written for cleaning data in a jupyter notebook and performs well for my circumstance. 1 Turn colC into a pd.DataFrame. Reference the user guide for more examples. Since pandas >= 0.25.0 we have the explode method for this, which expands a list to a row for each element and repeats the rest of the columns: Since pandas >= 1.1.0 we have the ignore_index argument, so we don't have to chain with reset_index: You can create DataFrame by its constructor and stack: If need change ordering by subset [['column1','column2']], you can also omit first reset_index: Another solution DataFrame.from_records for creating DataFrame from first column, then create Series by stack and join to original DataFrame: Another solution is to use the result_type='expand' argument of the pandas.apply function available since pandas 0.23. Apply a function to each row or column in Dataframe using pandas.apply(), Get column index from column name of a given Pandas DataFrame, Create a Pandas DataFrame from a Numpy array and specify the index column and column headers, Python - Scaling numbers column by column with Pandas, Convert PySpark Row List to Pandas DataFrame, Convert the column type from string to datetime format in Pandas dataframe. Scalars will be returned unchanged. 2 How to create column with many values per row? This results a bit of unnecessary processing but doesnt break anything. def tidy_split (df, column, sep=|, keep=False): Split the values of a column and expand so the new DataFrame has one split value per row. Refresh the page, check Medium 's site status, or. Yes it is! Python3 import pandas as pd Split into Rows Using Text to Columns 2. The explode() function is very easy to use and simply takes the name of the column (or columns) you want to split into rows, and it returns a new dataframe in which the list values are spread over multiple rows. This article presents a simple function developed for my notebooks after my own travel of the above cycle. Launching the CI/CD and R Collectives and community editing features for How to access the items in list from Dataframe against each index item? How do I select rows from a DataFrame based on column values? It is easy to do, and the output preserves the index. Here are two approaches to split a column into multiple columns in Pandas: list column string column separated by a delimiter. In this article, we will see various approaches to convert list-like column elements to separate rows. Then create a numpy array with an item for each value in all of the lists. It uses a loop-comprehension to extract the lengths of each days element, which must be minimal runtime-wise. I have a Pandas dataframe where one of the columns is a list. You can use the pandas Series.str.split () function to split strings in the column around a given separator/delimiter. Acceleration without force in rotational motion? This method is part of a pandas accessor class the class stores the input DataFrame in the self._df variable. You need to flatten the data and turn it into a CSV or analyze the list, youll need to read each item and most likely want to preserve other fields on the row. When an array is passed to this function, it creates a new default column "col1" and it contains all array elements. We are going to need it. Pandas DataFrame columns are Pandas Series when you pull them out, which you can then call x.tolist() on to turn them into a Python list. You need to apply the pandas accessor API class decorator and give the accessor a name. The following example shows how to use this syntax in practice. I hope you took something useful from my first ever individual blog post. @DonP Is the first method working fine? Get column index from column name of a given Pandas DataFrame, Create a Pandas DataFrame from a Numpy array and specify the index column and column headers, Python - Scaling numbers column by column with Pandas, Python | Separate odd and even index elements, Convert the column type from string to datetime format in Pandas dataframe, Convert a column to row name/index in Pandas. In this article, we have covered 6 use cases about flattening MultiIndex columns and rows in Pandas. To fix the index of the exploded dataframe, we can use the reset_index method and pass the drop parameter as True. In particular, I wanted a solution that I could put into a pandas pipeline without loose bits of Python code cluttering up the place. To learn more, see our tips on writing great answers. mvexpand is a legacy and obsolete form of the operator mv-expand. Does Cast a Spell make you a spellcaster? Often while working with real data, columns having list-like elements are encountered. List-like means that the elements are of a form that can be easily converted into a list. def expand_list(df, list_column, new_column): expanded_dataframe = expand_list(old_dataframe,"Item List", "Item"), lens_of_lists = df[list_column].apply(len), destination_rows = np.repeat(origin_rows, lens_of_lists), non_list_cols = [idx for idx, col in enumerate(df.columns), expanded_df = df.iloc[destination_rows, non_list_cols].copy(), expanded_df[new_column] = [i for items in df[list_column], expanded_df.reset_index(inplace=True, drop=True). Making statements based on opinion; back them up with references or personal experience. However, one of the most elegant ways to do this is via the Pandas explode() function. © 2023 pandas via NumFOCUS, Inc. But opting out of some of these cookies may affect your browsing experience. We can pass a list of series too in dataframe.append() for appending multiple rows in dataframe. Did the residents of Aneyoshi survive the 2011 tsunami thanks to the warnings of a stone marker? Lets see how can we convert a column to row name/index in Pandas. By default (result_type=None), the final return type is inferred from the return type of the applied function. Now we are ready to create a new dataframe. One tweak Ive added is to replace the explicitly listed column names passed to the id_vars parameter with the original columns from our input data, since we normally want to preserve all columns other than our list column. How to create an individual column for each of these? The site provides articles and tutorials on data science, machine learning, and data engineering to help you improve your business and your data science skills. First, convert each string of names to a list. If the input data has rows with different numbers of list elements, we end up with Python None objects all over the place. Note that explode only works on a single column (for now). No doubt this could be handled with some recursive fun but for the moment this should suffice. How to Check dtype for All Columns in Pandas DataFrame, Your email address will not be published. As you can see below, I have a column called code with multiple values per row, separated by a comma. If you examine the dataframe at this point it is pretty useless; it contains lots of duplicated rows. def list_to_rows(data, cols: Union[str, Iterable[str]]): is_list_flt = df2.IPAddresses.apply(lambda x: isinstance(x, list)). You can find the Pandas version installed by entering pd.__version__. pandas expand dataframe column with tuples, into multiple columns and rows Expand a column of lists into multiple rows in Pandas How to combine multiple rows in a pandas dataframe which have only 1 non-null entry per column into one row? How to expand pandas Dataframe column of DICT? It is mandatory to procure user consent prior to running these cookies on your website. Lets see how to count number of all rows in a Dataframe or rows that satisfy a condition in Pandas. pandas - pandas convert grouped rows into columns - Aggregate the grouped values on many specific columns from list Dataframe - - - Dataframe - convert rows to columns - grouped by another columns pandas - Convert Rows into List of values . Next, either import data into a dataframe, or create a dummy dataframe containing some list values stored in the columns. You can use the following basic syntax to convert a row in a pandas DataFrame to a list: row_list = df. If you want non-duplicate index values, call reset_index (~), which will reset the index to the default integer index: Here, the drop=True is needed - otherwise the current index will be appended as a column. I said earlier that I wanted to use this functionality in pipelines, where the function will have no idea of what the specific column names in the input data are going to be. I believe this solution requires every list in "column1" to be of the same length, 3 in this case. Convert each string of names to a list and use Pandas explode() function to split the list by each element and create a new row for each of them. It should be noted that Olegs comment was not selected as the answer but it was a real help for me. Next well look at turning this into a pandas accessor. Series, and np.ndarray. 3 How to add multiple rows to a Dataframe? How to properly visualize the change of variance of a bivariate Gaussian distribution cut sliced along a fixed variable? Yes, I knew there had to be something. 3 Join the convert colC with df That can be done in a one-liner: df = df.drop ('colC', axis=1).join (pd.DataFrame (df.colC.values.tolist ())) With the How to add multiple rows to a Dataframe? Suppose I have a dataframe that looks like this: I can split a string. Once thats done, we get a perfect dataframe back with the two list based columns separated into rows. Help me understand the context behind the "It's okay to be white" question in a recent Rasmussen Poll, and what if anything might these results show? The explode () function is very easy to use and simply takes the name of the column (or columns) you want to split into rows, and it returns a new dataframe in which the list values are spread over multiple rows. First here is a generic, stand-alone version of the function. Create a new dataframe by copying the data using the row and column information. explode and expand rows to multiple rows or columns to multiple columns using pandas dataframe python preprocessing pandas tip data science Publish Date: 2021-06-14 import pandas as pd generate some example some data data = [ [ ['python','C'],'John'], [ ['python','Go'],'Mark'] ] df = pd.DataFrame (data=data,columns= ['language','name']) print(df) def list_to_rows(self, cols: Union[str, Iterable[str]]): @pd.api.extensions.register_dataframe_accessor("my_accessor"), df.my_accessor.list_to_rows(cols="IPAddresses"). Example: Convert Pandas DataFrame Row to List We use cookies to ensure that we give you the best experience on our website. Why does the Angel of the Lord say: you have not withheld your son from me in Genesis? If a law is new but its interpretation is vague, can the courts directly ask the drafters the intent and official interpretation of their law? Note, there are alternatives to using accessors see the pandas pipe function, for example but since we already have pandas accessor classes in our library, this is the most convenient option. 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How to convert a list to a pandas DataFrame using the Python programming language: https://lnkd.in/eE_xun7p #datascience #advancedanalytics #pythontraining . This routine will explode list-likes including lists, tuples, Series, and np.ndarray. on same row of the frame must have matching length. Filters rows where the column is missing. Principal security engineer @ Microsoft. If a column turns out not to be a list, to_list produces a single element list. To use as an accessor, add it as method to a class like this. Examples import pandas as pd df = pd.DataFrame ( {'Date': ['10/2/2011', '11/2/2011', '12/2/2011', '13/2/11'], 'Event': ['Music', 'Poetry', 'Theatre', 'Comedy'], loc [2, :]. sonicwave 231c non responsive Uncovering hot babes since 1919.. pandas extract number from string. Is there a good way to do this without lists as your index? This category only includes cookies that ensures basic functionalities and security features of the website. The result dtype of the subset rows will be object. First, well use explode() to extract the values from the list stored in the skus column and split up the data over multiple rows. Browse other questions tagged, Where developers & technologists share private knowledge with coworkers, Reach developers & technologists worldwide, Thanks @shubham when I try this I get back an error. Former Code for Tulsa Co-Captain. A-143, 9th Floor, Sovereign Corporate Tower, We use cookies to ensure you have the best browsing experience on our website. 5 Methods to Split Comma Separated Values into Rows or Columns in Excel 1. There are various ways to split up dataframe column lists into rows of a new dataframe. This button displays the currently selected search type. We are able to conduct this transformation in one line through the use of a list comprehension. Python Programming Foundation -Self Paced Course, Python | Convert column to separate elements in list of lists, Limited rows selection with given column in Pandas | Python. Now is the time for a nested list comprehension to expand the list values into a flat array. Perfect. The result dtype of the subset rows will be object. In addition, the ordering of rows in the The index is important. Is lock-free synchronization always superior to synchronization using locks? You can combine the two forms. Just need to pull each subject in a new row with its corresponding marks and copy all the other column contents as it is. pandas extract number from string. if you have lists with varying length, you can do: Thanks for contributing an answer to Stack Overflow! To split a pandas column of lists into multiple columns, create a new dataframe by applying the tolist() function to the column. These cookies do not store any personal information. You may need to tweak it for your situation. key = Column name Value = Value at that column in new row. 2 Delete the original colC from df. This can be used to group large amounts of data and compute operations on these groups. Launching the CI/CD and R Collectives and community editing features for "Least Astonishment" and the Mutable Default Argument, Selecting multiple columns in a Pandas dataframe, How to drop rows of Pandas DataFrame whose value in a certain column is NaN, Creating an empty Pandas DataFrame, and then filling it, How to iterate over rows in a DataFrame in Pandas. Learn more about us. However, one of the most elegant ways to do this is via the Pandas explode () function. You may also want to drop the column Values now that it has been split into three columns. Necessary cookies are absolutely essential for the website to function properly. Centering layers in OpenLayers v4 after layer loading. Numpy Set difference between two arrays. If a column turns out not to be a. Please check out the Notebook for the source code and stay tuned if you are interested in the practical aspect of machine learning. This helps in understanding how to achieve the current goal but also provides some useful techniques for other dataframe challenges. Youll also have to figure out how to manage all the duplicate data. The code examples and results presented in this tutorial have been implemented in aJupyter Notebookwith a python (version 3.8.3) kernel having pandas version 1.0.5. Elaborate answer. Creating columns Renaming columns Selecting rows and columns Filtering rows by condition Manipulating strings Working with data types Encoding data Extracting data from lists Working with time series data Handling missing values Using aggregation functions Using cumulative functions Random sampling Merging DataFrames Styling DataFrames Now, lets split the column Values into multiple columns, one for each value in the list. Here, we didnt pass any column names, hence the column names are given by default. By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. New in version 1.3.0: Multi-column explode ignore_indexbool, default False If True, the resulting index will be labeled 0, 1, , n - 1. See the docs section on Exploding a list-like column. His solution is shown here: This works well using the pandas melt function to extract out column values to rows. Suspicious referee report, are "suggested citations" from a paper mill? We also use third-party cookies that help us analyze and understand how you use this website. The skus and prices columns store these data in Python lists. Lets see it action with the help of an example. How to expand certain columns to rows using Python pandas. How to split pandas Dataframe by column value in Python? Get started with our course today. Copyright 2008-2014, the pandas development team. Thanks for contributing an answer to Stack Overflow! Firstly, we have to split the ingredients column (which contains a list of values) into new columns. When dealing with more complex datasets, youll often find that Pandas dataframe columns contain data stored as Python lists. The following is the syntax. Columns are the different fields that contain their particular values when we create a DataFrame. Let see how to Split Pandas Dataframe by column value in Python? Note: If your column of lists has an uneven number of values in each list, pandas will simply fill in missing values with NaN values when splitting the lists into columns. He has experience working as a Data Scientist in the consulting domain and holds an engineering degree from IIT Roorkee. Tried How to group the rows of a DataFrame by multiple columns using the pandas library in the Python programming language: https://lnkd.in/eJ4Y8cBS #python #statisticalanalysis #research . Method #2: Using pivot() method.In order to convert a column to row name/index in dataframe, Pandas has a built-in function Pivot.Now, lets say we want Result to be the rows/index, and columns be name in our dataframe, to achieve this pandas has provided a method called Pivot. We give you the best browsing experience, your email address will be. Easy to do this is via the pandas concat ( ) function to extract column! Stone marker assume that you are interested in the self._df variable answer, you agree our... Function but applies to the entire dataframe column headers, are `` suggested citations '' from a dataframe all! To splitting lists into rows using Text to columns 2 shown here: this works using... Dataframe back with the rest of the function will result in a np.nan for that row will see various to! Drop parameter as True with a dropdown menu into multiple dataframe columns contain data stored as Python lists these.! To the entire dataframe column lists into rows Jesus turn to the Python programming language https! Me in Genesis it that are the name of the columns is a generic, stand-alone version the! R Collectives and community editing features for how to split up dataframe column headers status, or of... Why does Jesus turn to the warnings of a pandas dataframe row to list we use cookies to that. For other dataframe challenges dataframe row to list we use cookies to ensure you have the experience... Goes to him this could be handled with some recursive fun but for the moment this should.... Class the class stores the input dataframe in the columns is similar to Father! To the Father to forgive in Luke 23:34 page, check Medium & # x27 ; s there! An item for each of these check out the notebook for the moment this should.... Dataframe is a generic, stand-alone version of the columns, row index the subset rows will be object that. Pd.Series ) Merge the new columns to group large amounts of data compute! ( pd.Series ) Merge the new columns though list-like column hence the column with! Per row, separated by a delimiter the Angel of the website to function properly our of. To synchronization using locks Python programming language: https: //lnkd.in/eE_xun7p # datascience # #... Check out the notebook for the moment this should suffice pandas melt function to split strings in the! Flat array amounts of data and compute operations on these groups cookies on your website but... String match on rows pandas Python rows by criteria and select multiple columns in pandas dataframe to... A data Scientist in the consulting domain and holds an engineering degree from IIT.! Your browsing experience lists with varying length, 3 in this article, end! Into columns Get a list of lists ensures basic functionalities and security features of the same length, agree. Article presents a simple function developed for my notebooks after my own travel of the subset will! Following example shows how to react to a pandas dataframe by column value in Python structure where is. Pd.Series ) Merge the new columns with the two list based columns into! List from dataframe against each index item output preserves the index is not sequential, so we need tweak! Pd split into three columns datasets, youll often find that pandas dataframe to a students attack! Address will not be published stone marker list out of some of these may... To a dataframe is a legacy and obsolete form of the website function. Tips on writing great answers corresponding marks and copy all the other column contents as it is to! To expand the list string column separated by a delimiter, copy and paste this URL your. Figure out how to create a dataframe, we Get a list to a pandas pipeline something... Understanding how to check dtype for all columns in pandas accessor a name useful. Dataframe that looks like this too in dataframe.append ( ) function but to! Columns is a tabular structure where data is arranged in rows and columns great. While working with real data, columns having list-like elements are encountered data columns. Fastest way to do, and np.ndarray the above method on a column. My solution is modification of his and most credit goes to him Aneyoshi the... Routine will explode list-likes including lists, tuples, series, and the preserves. Is there a good way to do this is via the pandas explode )... Obsolete form of the lists a stone marker youll often find that pandas dataframe column holds an engineering degree IIT... This case of duplicated rows hope you took something useful from my first individual! Loop-Comprehension to extract the lengths of each days element, which must minimal. Provide a convenient way to do this is via the pandas Series.str.split ( ) function to extract lengths! Have lists with varying length, 3 in this article, we Get a,... Of columns as second element how to expand rows from a paper mill by column value in?..., and column information understanding how to check dtype for all columns in Excel 1 say: you have best! It uses a loop-comprehension to extract the lengths of each days element, must. Accessor class the class stores the input data has rows with different numbers of list elements we. Ever individual blog post not withheld your son from me in Genesis language::. Rss feed, copy and paste this URL into your RSS reader to data. This is via the pandas accessor class the class stores the input in... Dataframe or rows that satisfy a condition in pandas type is inferred from the return type is inferred from return! The dataframe at this point it is similar to the Python string split ( function... To react to a class like this rows with different numbers of list elements, we Get perfect... Extract number from string melt function to split values into rows of a Gaussian. Them up with references or personal experience for now ) return dataframe item using partial string match on pandas. Dataframe with Python None objects all over the place for your situation through use... Feed, copy and paste this URL into your RSS reader Python string split ( ) function Tower. The website to function properly, to_list produces a single element list the country and its transformation in! Criteria and select multiple columns from a dataframe that looks like this: I can split a column which lists! Lock-Free synchronization always superior to synchronization using locks residents of Aneyoshi survive the 2011 tsunami thanks to the to. To other answers = column name value = value at that column in new row with its marks! With different numbers of list elements, we didnt pass any column names are by... Good way to chain the sublists we also use third-party cookies that basic! `` column1 '' to be of the most elegant ways to skin a cat stack., or create a new dataframe version of the most elegant ways to split dataframe. Dataframe by column value in Python well using the pandas Series.str.split ( ) function can pass a list references. Of unnecessary processing but doesnt break anything action with the two list based columns into. To walk through each line of the same length, you can use the pandas explode ( function! Split these into several new columns though the ordering of rows as first pandas expand column of lists into rows. Something useful from my first ever individual blog post the use of a bivariate Gaussian cut! To split up dataframe column may need to apply the pandas concat ( ) function to split according! Column ( which contains a list name of the columns are various ways skin... Recursive fun but for the moment this should suffice address will not be published panic. Function properly pandas accessor column in new row with its corresponding marks and copy all the duplicate data,... As an accessor, add it as method to a dataframe based on opinion ; back them up references... Dataframe back with the help of an example of a list from pandas dataframe by copying the set... Also want to drop the column around a given separator/delimiter the page, Medium!: https: //lnkd.in/eE_xun7p # datascience # advancedanalytics # pythontraining dataframe according to column index, and column information (. Split a string to this RSS feed, copy and paste this URL your! Addition, the ordering of rows as first element and number of columns as second.. For a nested list comprehension to expand certain columns to rows using Python pandas lets see it action with two... Column in new row to synchronization using locks to create column with many values per row the use a! Columns from a dataframe or rows that satisfy a condition in pandas: an. Method and pass the drop parameter as True column in new row with its corresponding marks and copy the! And obsolete form of the subset rows will be labeled 0, 1, n. Row of the exploded dataframe, or create a new dataframe to walk each. Lots of duplicated rows we can pass a list of lists the same,. Solution requires every list in `` column1 '' to be a list.! Check Medium & # x27 ; s site status, or responding to other answers from list available! May affect your browsing experience pandas expand column of lists into rows our website now we are able to conduct this transformation one... Copying the data using the pandas concat ( ) function to extract out column values different of... Example of a list to a list, to_list produces a single element list as Python.. Pass any column names are given by default ( result_type=None ), the index the...

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