pandas expand column of lists into rows
Pandas: split an Excel column populated with a dropdown menu into multiple dataframe columns and isolate typos. Thanks for contributing an answer to Stack Overflow! 3 How to add multiple rows to a Dataframe? Filters rows where the column is missing. Has the term "coup" been used for changes in the legal system made by the parliament? Ill try to keep adding items about Python, pandas and other technologies that I use every day. Objects passed to the pandas.apply() are Series objects whose index is either the DataFrame's index (axis=0) or the DataFrame's columns (axis=1). pandas is the world's most popular Python library, used for everything from data manipulation to data analysis. First, lets create a dataframe with a column having a list of values for each row. A native pandas solution we unstack the column into a series, then join back on based on index: How to count all rows in a pandas Dataframe? A groupby operation involves some combination of splitting the object, applying a function, and combining the results. In addition, the ordering of rows in the 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 Lets give specific column names to each of the new columns. 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. Piyush is a data professional passionate about using data to understand things better and make informed decisions. How to split pandas Dataframe by column value in Python? How to Show All Rows of a Pandas DataFrame Now we are ready to create a new dataframe. We use cookies to ensure that we give you the best experience on our website. Lets see it action with the help of an example. Pandas : Convert Dataframe column into an index using set_index() in Python; Pandas: 6 Different ways to iterate over rows in a Dataframe & Update while iterating row by row; Convert a Dataframe into a list of lists - Rows Wise : In the dataframe created above, we must fetch each line as a list and create a list of these lists. Scalars will be returned unchanged. Connect and share knowledge within a single location that is structured and easy to search. There can be several . Thank you that seems to work (I don't know who is downvoting by the way). 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. Would the reflected sun's radiation melt ice in LEO? output will be non-deterministic when exploding sets. I have a Pandas dataframe where one of the columns is a list. Filters rows where the column is missing. Series and DataFrame methods define a .explode () method that explodes lists into separate rows. We can perform certain operations on both rows & column values. You also have the option to opt-out of these cookies. How to group Dataframe by columns in pandas? 1) Count all rows in a Pandas Dataframe using Dataframe.shape. An example of a pandas pipeline is something like this. How to get the number of rows in a Dataframe? How to react to a students panic attack in an oral exam? 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. With this, we come to the end of this tutorial. 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. AboutData Science Parichay is an educational website offering easy-to-understand tutorials on topics in Data Science with the help of clear and fun examples. Group DataFrame using a mapper or by a Series of columns. Find centralized, trusted content and collaborate around the technologies you use most. Pandas provide a convenient way to handle data and its transformation. import pandas as pd data = pd.read_csv ("nba.csv", index_col ="Name") first = data.loc ["Avery Bradley"] You could have done this at the start, but you had to do all the other bits for it to have proper home where the data fits and the original values are preserved. The excel sheet has \n as separator for corresponding Col2 and col3 column. Is lock-free synchronization always superior to synchronization using locks? Transform each element of a list-like to a row, replicating index values. We'll assume you're okay with this, but you can opt-out if you wish. You can combine the two forms. split up dataframe column lists into rows, How to drop Pandas dataframe rows and columns, How to select, filter, and subset data in Pandas dataframes, How to create an ABC XYZ inventory classification model, How to use Category Encoders to encode categorical variables, How to assign RFM scores with quantile-based discretization, How to identify and remove duplicate values in Pandas, How to use Pandas from_records() to create a dataframe, How to calculate an exponential moving average in Pandas, How to use Pandas pipe() to create data pipelines, How to use Pandas assign() to create new dataframe columns, How to measure Python code execution times with timeit, How to use the Pandas truncate() function, How to use Spacy for noun phrase extraction. Asking for help, clarification, or responding to other answers. How do I select rows from a DataFrame based on column values? Our dataframe contains two columns that contain lists of values, so we can pass their column names to the explode() function as a list. Used to determine the groups for the groupby. #split column of lists into two new columns, #join split columns back to original DataFrame, Suppose we have the following pandas DataFrame in which the column called, We can use the following syntax to create a new DataFrame in which the, If wed like, we can then join this split DataFrame back with the original DataFrame by using the, The end result is a DataFrame in which the original, How to Create a Duplicate Column in Pandas DataFrame, How to Use DEVSQ in Google Sheets (With Example). If the lists in the column are of different lengths, the resulting dataframe will have columns equal to the length of the largest list with NaNs in places where the function doesnt find a list value. 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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. New in version 1.3.0: Multi-column explode. Python df_melt.names.apply(pd.Series) Merge the new columns with the rest of the data set. Explode a DataFrame from list-like columns to long format. Please check out the Notebook for the source code and stay tuned if you are interested in the practical aspect of machine learning. Centering layers in OpenLayers v4 after layer loading. Pandas provide a convenient way to handle data and its transformation. pandas extract number from string. Here, we didnt pass any column names, hence the column names are given by default. We are able to conduct this transformation in one line through the use of a list comprehension. These cookies do not store any personal information. 5 Methods to Split Comma Separated Values into Rows or Columns in Excel 1. It is similar to the python string split () function but applies to the entire dataframe column. Separate Data into Rows/Columns by Comma Using 'Text to Columns' Feature in Excel 1.1. How to increase the number of CPUs in my computer? removing particular rows from DataFrame in python pandas. Unpivot a DataFrame from wide format to long format. How to Filter Rows Based on Column Values with query function in Pandas? For example, say I have to dateframes one with Timestamps with second accuracy, and another with only minute accuracy. Thanks for reading. Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. The result dtype of the subset rows will be object. © 2023 pandas via NumFOCUS, Inc. Principal security engineer @ Microsoft. Suspicious referee report, are "suggested citations" from a paper mill? 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. Stack Overflow pandas Extend Index of a DataFrame setting all columns for new rows to NaN? 20 Pandas Functions for 80% of your Data Science Tasks Yang Zhou in TechToFreedom 10 Remarkable Python OOP Tips That Will Optimize Your Code Significantly Josep Ferrer 4 killer SQL commands to. Ive added back Bartosz merge and melt lines since already these work perfectly. 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) Upgrading to the latest release of Pandas will be useful if your environment is running a version older than 1.3.0, since the explode() function was updated to include new functionality in this release. 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"). 2 Delete the original colC from df. key = Column name Value = Value at that column in new row. You initially think this can be solved by a fancy, nested list comprehension. Create a dataframe first with dict of lists. @DonP Is the first method working fine? Step 1: Import the necessary libraries Here I will use only the pandas library for creating dataframe. 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. Get started with our course today. How to expand rows from list data available in column? Another option is itertools.chain. To make the new dataframe useful we need to get all the items in each of the lists. This can be used to group large amounts of data and compute operations on these groups. What are examples of software that may be seriously affected by a time jump? But opting out of some of these cookies may affect your browsing experience. By using our site, you Sort (order) data frame rows by multiple columns, Use a list of values to select rows from a Pandas dataframe, How to drop rows of Pandas DataFrame whose value in a certain column is NaN, How to iterate over rows in a DataFrame in Pandas. You can use pandas.Series.str.split to make a list of the players then pandas.DataFrame.explode to make multiple rows : play_by_play['players'] = play_by_play['players'].str.split(';') play_by_play = play_by_play.explode('players').reset_index(drop=True . I'd like to expand this list. You need to apply the pandas accessor API class decorator and give the accessor a name. Does Cast a Spell make you a spellcaster? When expanded it provides a list of search options that will switch the search inputs to match the . 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. Otherwise, it depends on the result_type argument. First, convert each string of names to a list. First, well use explode() to extract the values from the list stored in the skus column and split up the data over multiple rows. Series and DataFrame methods define a .explode () method that explodes lists into separate rows. When dealing with more complex datasets, youll often find that Pandas dataframe columns contain data stored as Python lists. So, lets create a list of series with same column names as dataframe i.e. 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? You can use the pandas Series.str.split () function to split strings in the column around a given separator/delimiter. How to Convert Dataframe column into an index in Python-Pandas? Any cookies that may not be particularly necessary for the website to function and is used specifically to collect user personal data via analytics, ads, other embedded contents are termed as non-necessary cookies. To subscribe to this RSS feed, copy and paste this URL into your RSS reader. Suppose we have the following pandas DataFrame in which the column called points contains lists of values: We can use the following syntax to create a new DataFrame in which the points column is split into two new columns called game1 and game2: If wed like, we can then join this split DataFrame back with the original DataFrame by using the concat() function: Lastly, we can drop the original points column from the DataFrame if wed like: The end result is a DataFrame in which the original points column of lists is now split into two new columns called game1 and game2. 1 Turn colC into a pd.DataFrame. 2 Delete the original colC from df. Youll also have to figure out how to manage all the duplicate data. DataFrame.shape returns a tuple containing number of rows as first element and number of columns as second element. We get back a new dataframe that contains a row for each value present in each of the skus lists. As with the previous example, the index is not sequential, so we need to fix that by resetting the index. One thing youll probably want to do is split up the list of values over multiple rows of a new Pandas dataframe. Yes it is! If youre not running Pandas 1.3.0 or more and you attempt this youll get an error that says ValueError: column must be a scalar. We do not spam and you can opt out any time. Power Query to Split Values into Columns To fix the index of the exploded dataframe, we can use the reset_index method and pass the drop parameter as True. Did the residents of Aneyoshi survive the 2011 tsunami thanks to the warnings of a stone marker? If you import this file, pandas will magically add a my_accessor attribute to all DataFrames, with the accessor functions exposed as methods of that attribute. The following tutorials explain how to perform other common operations in pandas: How to Print Pandas DataFrame with No Index 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). How to expand pandas Dataframe column of DICT? Ive turned his comment into a generic function which I can reuse. Youre close but pretty soon your head hurts trying to update your dataframe. 2 How to create column with many values per row? Post author: Post published: February 27, 2023 Post category: anong uri ng awiting bayan ang dandansoy Post comments: surge 2 kill or spare eli surge 2 kill or spare eli It can be done in three ways: Using loc [] Using iloc [] Using append () Append list using loc [] methods Pandas DataFrame.loc attribute access a group of rows and columns by label (s) or a boolean array in the given DataFrame. 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. You can build up complex processing functions in a single, fluent expression. 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. Python and Jupyter notebooks in Cybersecurity. Asking for help, clarification, or responding to other answers. This gives us the same dataframe as the one we got from the explode method but with a sequential index. If the input data has rows with different numbers of list elements, we end up with Python None objects all over the place. Explode a DataFrame from list-like columns to long format. How to Convert Dataframe column into an index in Python-Pandas? Use np.hstack to stack the lists in column players horizontally and create a new dataframe : df1 = pd.DataFrame (np.hstack (df ['players']).tolist ()) Or use Series.explode (available in pandas version >= 0.25 ), df1 = pd.DataFrame (df ['players'].explode ().tolist ()) Another option using itertools.chain as suggested by @cs95 By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. Convert Dataframe column of list with dictionaries into seperate columns and expand Dataframe. Pandas parse json in column and expand to new rows in dataframe. Subscribe to our newsletter for more informative guides and tutorials. 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. Convert each string of names to a list then use the pandas stack() function for pivoting the columns to index. Well be using the explode() function to split these list values up into rows in a new dataframe. Acceleration without force in rotational motion? To learn more, see our tips on writing great answers. be object. Alternatively you cast it with list(x) . Column(s) to explode. How to properly visualize the change of variance of a bivariate Gaussian distribution cut sliced along a fixed variable? In this quick tutorial, Ill show you how to use explode() to split single and multiple list-based columns over rows of a new Pandas dataframe. 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 . 1 data.ingredients.apply (pd.Series) For testing, I limited the data set to three rows. This website uses cookies to improve your experience while you navigate through the website. acknowledge that you have read and understood our, Data Structure & Algorithm Classes (Live), Data Structure & Algorithm-Self Paced(C++/JAVA), Android App Development with Kotlin(Live), Full Stack Development with React & Node JS(Live), GATE CS Original Papers and Official Keys, ISRO CS Original Papers and Official Keys, ISRO CS Syllabus for Scientist/Engineer Exam, Adding new column to existing DataFrame in Pandas, How to get column names in Pandas dataframe, Python program to convert a list to string, Reading and Writing to text files in Python, Different ways to create Pandas Dataframe, isupper(), islower(), lower(), upper() in Python and their applications, Python | Program to convert String to a List, Check if element exists in list in Python, How to drop one or multiple columns in Pandas Dataframe. Expanding lists in Pandas dataframes | by John A. Dungan | Medium Write Sign up Sign In 500 Apologies, but something went wrong on our end. Why do we kill some animals but not others? 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. This article presents a simple function developed for my notebooks after my own travel of the above cycle. In this article, we will see various approaches to convert list-like column elements to separate rows. You can use the following basic syntax to split a column of lists into multiple columns in a pandas DataFrame: The following example shows how to use this syntax in practice. How to expand pandas column into multiple rows? Not me, this is a good answer. This routine will explode list-likes including lists, tuples, sets, You may also want to drop the column Values now that it has been split into three columns. Each of the .mp_pivot functions essentially takes a DataFrame as input from the previous line and outputs a processed DataFrame to be consumed by the next line. Hosted by OVHcloud. be str or tuple, and all specified columns their list-like data Create a dataframe first with dict of lists. But as a next step, I want to efficiently put the split string into new columns like so: How to split a column in pandas Dataframe? Empty list-likes will result in a np.nan for that row. Perfect. Example: Convert Pandas DataFrame Row to List Which pandas version are you using? I quite frequently get pandas DataFrames that are lists of items usually these come from data queries converted to a DataFrame. However, one of the most elegant ways to do this is via the Pandas explode () function. It supports specifying multiple or single columns to expand if multiple columns are given, it just re-applies the logic iteratively to each column. 1 Turn colC into a pd.DataFrame. 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. Note that explode only works on a single column (for now). In this article, we have covered 6 use cases about flattening MultiIndex columns and rows in Pandas. Method 1: Using Pandas melt function First, convert each string of names to a list. One last bit of housecleaning to reset the dataframe index and youre ready to return a new dataframe. To find only the combinations that occur in the data, use nesting: expand (df, nesting (x, y, z)). Is there a good way to do this without lists as your index? How to extend Index in Stack Overflow pandas? Return DataFrame item using partial string match on rows pandas python. 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. This website uses cookies to improve your experience. Finally, to get rid of those annoying NaN rows we can use dropna but we want to limit its scope to only the newly added column (we dont want columns that happen to have randomly scattered NaNs to disappear on us!). Connect and share knowledge within a single location that is structured and easy to search. Pandas provide a unique method to retrieve rows from a Data frame. Step one, get the index of all the other columns in the dataframe. This results a bit of unnecessary processing but doesnt break anything. How to create column with many values per row? Think this can be solved by a time jump to our newsletter for more informative and... In this article presents a simple function developed for my notebooks after my travel., I limited the data set to three rows, hence the column around given., nested list comprehension on a single, fluent expression, I limited the set... Objects all over the place based on column values dropdown menu into dataframe... To add multiple rows to a list of search options that will switch the search to... And combining the results after my own travel of the above cycle location that is structured and easy search! Populated with a sequential index gives us the same dataframe as the one we got from the explode ( function. From the explode ( ) function to split pandas dataframe by column in! Row, replicating index values names as dataframe i.e an Excel column populated with column... Bit of unnecessary processing but doesnt break anything help, clarification, or to. Get pandas DataFrames that are lists of items usually these come from data queries converted to a for! Back a new dataframe columns and isolate typos pandas Python operation involves some combination of splitting the object pandas expand column of lists into rows. Trying to update your dataframe contain data stored as Python lists partial string match on rows pandas Python to column... A mapper or by a time jump properly visualize the change of variance of a stone marker a students attack! Excel 1.1 you using ( x ) be object find centralized, trusted content and collaborate the!, convert each string of names to a dataframe based on column values for,. The change of variance of a list-like to a list of search options that will switch search! The index of a list then use the pandas accessor API class decorator and the... We kill some animals but not others warnings of a new dataframe get all the items in of. Index in Python-Pandas to create column with many values per row dtype of the most ways. An index in Python-Pandas manage all the items in each of the subset rows will be object create column many! We do not spam and you can opt out any time but not others synchronization! The necessary libraries here I will use only the pandas accessor API class and! Article, we come to the entire dataframe column of list with dictionaries into columns... & amp ; column values we are ready to create a new dataframe lets. As separator for corresponding Col2 and col3 column simple function developed for my notebooks after my own travel of skus... Pandas pipeline is something like this are ready to return a new dataframe contains... Query function in pandas dataframe columns contain data stored as Python lists the dataframe (! Come to the Python string split ( ) function for pivoting the columns is a data passionate! 92 ; n as separator for corresponding Col2 and col3 column the entire dataframe column into an index in?! Suspicious referee report, are `` suggested citations '' from a paper mill however, one of the data to. Of names to a dataframe from list-like columns to long format n't know who is downvoting the. Be solved by a fancy, nested list comprehension for the source code and stay tuned if are. Iteratively to each column close but pretty soon your head hurts trying to update dataframe. Np.Nan for that row logic iteratively to each column do is split up the list of series with same names... To fix that by resetting the index of all the other columns in the legal system by... Best experience on our website of housecleaning to reset the dataframe method to retrieve rows from list data available column! Do we kill some animals but not others for Now ) to a.... Values for each row each column understand things better and make informed decisions but doesnt break anything source code stay! 1: using pandas melt function first, lets create a new pandas dataframe and. The one we got from the explode ( ) function to split strings in the dataframe index youre. Can use the pandas explode ( ) function for pivoting the columns is a list do n't know who downvoting... Query function in pandas dataframe columns contain data stored as Python lists your... Already these work perfectly replicating index values operation involves some combination of splitting object! Often find that pandas dataframe columns contain data stored as Python lists this gives us the same as! From list-like columns to expand if multiple pandas expand column of lists into rows are given, it just re-applies the logic to... Can be used to group large amounts of data and its transformation can opt-out if you interested. Need to get the number of rows in a single, fluent.. Return a new dataframe the items in each of the lists various to! First element and number of rows as first element and number of in. Filter rows based on column values with query function in pandas dataframe column... Ready to create a list of search options that will switch the inputs! I select rows from list data available in column most popular Python library, used everything... I use every day complex processing functions in a pandas pipeline is something like.... Columns with the help of an example of a list-like to a.! Covered 6 use cases about flattening MultiIndex columns and expand pandas expand column of lists into rows new rows to NaN ; as! Of CPUs in my computer youll also have the option to opt-out of these cookies copy and this! Example: convert pandas dataframe row to list which pandas version are you using dataframe. Through the website first, lets create a dataframe based on column values offering easy-to-understand on... Of this tutorial the most elegant ways to do is split up the list of values each... I can reuse design / logo 2023 stack Exchange Inc ; user licensed. Complex processing functions in a new pandas dataframe where one of the above cycle pandas Series.str.split ( function... Dataframe columns contain data stored as Python lists `` suggested citations '' from a data frame pandas! Lines since already these work perfectly contributions licensed under CC BY-SA lists into separate rows a simple function developed my! Action with the help of an example your head hurts trying to update your dataframe Excel sheet has #. By resetting the index is not sequential, so we need to get all the in! Testing, I limited the data set to three rows cookies to improve your experience you... Practical aspect of machine learning experience on our website and melt lines already... Iteratively to each column Separated values into rows in a pandas dataframe where one of the elegant... A students panic attack in an oral exam I select rows from a dataframe will use the... Of splitting the object, applying a function, and combining the.. Manage all the duplicate data we kill some animals but not others lists separate. Data.Ingredients.Apply ( pd.Series ) Merge the new dataframe that contains a row, replicating index.. And tutorials within a single column ( for Now ): split an Excel column populated a! / logo 2023 stack Exchange Inc ; user contributions licensed under CC BY-SA do we kill some animals not... This gives us the same dataframe as the one we got from the explode method with! Suspicious referee report, are `` suggested citations '' from a data professional passionate about using data understand... Stone marker, convert each string of names to a dataframe setting all columns in?. ( I do n't know who is downvoting by the parliament 6 use cases about MultiIndex... We have covered 6 use cases about flattening MultiIndex columns and expand to rows! When expanded it provides a list comprehension duplicate data applies to the end of tutorial. Give the accessor a name format to long format help, clarification, or to. 'S radiation melt ice in LEO Python lists changes in the dataframe values with query function in pandas you... Made by the way ) did the residents of Aneyoshi survive the 2011 tsunami thanks the. & amp ; column values think this can be solved by a series of columns as second element list use... The input data has rows with different numbers of list elements, have! The one we got from the explode method but with a sequential index single column ( for Now.. There a good way to do this without lists as your index keep adding items about Python, pandas other! Expanded it provides a list then use the pandas Series.str.split ( ) that. List ( x ) to opt-out of these cookies may affect your browsing experience clear and examples... While you navigate through the website of clear and fun examples, your email address will not be.! By the parliament of search options that will switch the search inputs to match the to group large amounts data! Columns with the previous example, say I have to figure out how to all. Sheet has & # 92 ; n as pandas expand column of lists into rows for corresponding Col2 and column. For my notebooks after my own travel of the lists Python None objects all over the place columns. Who is downvoting by the way ) names to a list of search that. In one line through the website switch the search inputs to match the )....Explode ( ) function but applies to the Python string split ( ) function but applies to the warnings a! Expand if multiple columns are given, it just re-applies the logic to!
pandas expand column of lists into rows