select rows where two columns are equal pandas

select rows where two columns are equal pandas

Col_A and Col_C. We could also use the len() function if we simply want to count how many rows have equal values in the rater1 and rater2 columns: This tells us that there are 4 rows where the values in the rater1 and rater2 column are equal. What does it mean that an integrator has an infinite DC gain? But if one of the column's values were strings! Thanks. In addition, you could use "compare" method to show difference between two series (or DataFrames). But just force to have another dtype: For your question, you could do df.query('col == val'). The returned data type is a pandas DataFrame: In [10]: type(titanic[ ["Age", "Sex"]]) Out [10]: pandas.core.frame.DataFrame In [11]: titanic[ ["Age", "Sex"]].shape Out [11]: (891, 2) The selection returned a DataFrame with 891 rows and 2 columns. Learn more about us. tmux: why is my pane name forcibly suffixed with a "Z" char? Indexing and selecting data #. Required fields are marked *. In Pandas, how to calculate the relative probabilities of values of a column given a value of another column? Classification: Whats the Difference? Is a house without a service ground wire to the panel safe? document.getElementById( "ak_js_1" ).setAttribute( "value", ( new Date() ).getTime() ); This site uses Akismet to reduce spam. Label indexing can be very handy, but in this case, we are again doing more work for no benefit. rev2023.6.8.43485. We'll use np.in1d. Connect and share knowledge within a single location that is structured and easy to search. How do I select rows from a DataFrame based on column values? Hence we compared the columns. Learn how your comment data is processed. Reproduced from The query() Method (Experimental): You can also access variables in the environment by prepending an @. Not the answer you're looking for? This method Test whether two-column contain the same elements. I'll include other concepts mentioned in other posts as well for reference. Returns: bool True if all elements are the same in both objects, False otherwise. You can change your settings at any time, including withdrawing your consent, by using the toggles on the Cookie Policy, or by clicking on the manage consent button at the bottom of the screen. For that, we will apply a condition on both the columns, and it will return as a boolean Series, where each True value represent that that corresponding row has equal values in both the columns i.e. What can I do if my coauthor takes a long-time/unreliable to finalize/submit a paper? Connect and share knowledge within a single location that is structured and easy to search. What do you mean by "not working"? Why does Ash say "I choose you" instead of "I chose you" or "I'll choose you"? 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Does touch ups painting (adding paint on a previously painted wall with the exact same paint) create noticeable marks between old and new? select rows that are equal in a column based on another Boolean column, Fantasy book series with heroes who exist to fight corrupt mages. More so than the standard approach and of similar magnitude as my best suggestion. This article is being improved by another user right now. What are Density Curves? How to Select Unique Rows in Pandas Not consenting or withdrawing consent, may adversely affect certain features and functions. Remember, a DataFrame is 2-dimensional with both a row and column dimension. Introduction to Statistics is our premier online video course that teaches you all of the topics covered in introductory statistics. Only, when the size of the dataframe approaches million rows, many of the methods tend to take ages when using df[df['col']==val]. Calling external applications/bat files using QGIS Graphical Modeller. Luzern: Walking from Pilatus Kulm to Frakigaudi Toboggan. Self-healing code is the future of software development, How to keep your new tool from gathering dust, We are graduating the updated button styling for vote arrows, Statement from SO: June 5, 2023 Moderator Action. By using our site, you How to Select Rows Where Value Appears in Any Column in Pandas, How to Reverse the Order of Columns in Excel, How to Reverse Order of Rows in Excel (With Example), Excel: How to Use TEXTJOIN Function with Line Break. document.getElementById( "ak_js_1" ).setAttribute( "value", ( new Date() ).getTime() ); Statology is a site that makes learning statistics easy by explaining topics in simple and straightforward ways. I'm wondering how to apply it for paired values in multiple columns (two in this case). Typically, we'd name this series, an array of truth values, mask. I'm wondering how to apply it for paired values in multiple columns (two in this case). mask alternative 2 (Specifically for when trying to categorize an adult), Find Roman numerals up to 100 that do not contain I". Click below to consent to the above or make granular choices. Like in the below example, we are going to select rows that has different values in Columns Col_A and Col_C. But again, as piRSquared mentioned, because of dtypes it didn't work. Is this photo of the Red Baron authentic? You will be notified via email once the article is available for improvement. Receiving 'invalid form: crispy' error when trying to use crispy forms filter on a form in Django, but only in one django app and not the other? Feel free to up-vote my answer as well if you found it useful. An Introduction to Multivariate Adaptive Regression Splines, Introduction to Quadratic Discriminant Analysis, Introduction to Linear Discriminant Analysis, An Introduction to Principal Components Regression, What is Overfitting in Machine Learning? What does it mean that an integrator has an infinite DC gain? How to I turn a column of lists into a set with pandas? Consenting to these technologies will allow us and our partners to process personal data such as browsing behavior or unique IDs on this site and show (non-) personalized ads. Like in the below example, we are going to select rows that has equal values in Columns Col_A and Col_C. Connect and share knowledge within a single location that is structured and easy to search. To subscribe to this RSS feed, copy and paste this URL into your RSS reader. However, if you pay attention to the timings below, for large data, the query is very efficient. This tutorial will discuss about different ways to select DataFrame rows where two columns are equal in pandas. Did anybody use PCBs as macro-scale mask-ROMS? We'll see if this holds up over more robust testing. Assume our criterion is column 'A' == 'foo', (Note on performance: For each base type, we can keep things simple by using the Pandas API or we can venture outside the API, usually into NumPy, and speed things up.). The results is the same as using as mentioned by @unutbu. Compare DataFrames for equality elementwise. How to select rows having values equal to a unqiue value in another dataframe column? The technical storage or access is required to create user profiles to send advertising, or to track the user on a website or across several websites for similar marketing purposes. E.g.. How can I select rows from a DataFrame based on values in some column in Pandas? How to Change the Order of Columns in Pandas DataFrame, Your email address will not be published. This tutorial will discuss about different ways to select DataFrame rows where two columns are not equal in pandas. You can use the following methods to select rows in a pandas DataFrame where two columns are (or are not) equal: Method 1: Select Rows where Two Columns Are Equal, Method 2: Select Rows where Two Columns Are Not Equal. This worked and fast. This method saves us time and code. Does the policy change for AI-generated content affect users who (want to) Delete rows if there are null values in a specific column in Pandas dataframe, Select rows from a DataFrame based on multiple values in a column in pandas, Keep only those rows in a Pandas DataFrame equal to a certain value (paired multiple columns), Filter out rows of panda-df by comparing to list, Pandas : splitting a dataframe based on null values in a column, Filter rows based on two columns together. Learn more about us. In this article we will discuss different ways to select rows in DataFrame based on condition on single or multiple columns. The axis labeling information in pandas objects serves many purposes: Identifies data (i.e. Get started with our course today. Like this: To add: You can also do df.groupby('column_name').get_group('column_desired_value').reset_index() to make a new data frame with specified column having a particular value. What woodwind instruments have easier embouchure. Each column shows relative time taken, with the fastest function given a base index of 1.0. Turns out, reconstruction isn't worth it past a few hundred rows. Is 'infodumping' the important parts of a story via an in-universe lesson in school/documentary/the news/other educational medium bad storytelling? The technical storage or access that is used exclusively for statistical purposes. #select rows where 'points' column is equal to 7, #select rows where 'team' is equal to 'B' and points is greater than 8, How to Select Multiple Columns in Pandas (With Examples), How to Fix: All input arrays must have same number of dimensions. Learn how your comment data is processed. It will return a DataFrame containing only those rows where values in column Col_A and column Col_C are equal. How to Select Rows Based on Column Values in Pandas. (Explanation & Examples), A Quick Intro to Leave-One-Out Cross-Validation (LOOCV). Thanks. How to use a < or > of one column in dataframe to then use another columns data from that same date on? Not consenting or withdrawing consent, may adversely affect certain features and functions. A part of the answer can be found here (How to select rows from a DataFrame based on column values? The following example shows how to use each method with the following pandas DataFrame: The following code shows how to select every row in the DataFrame where the points column is equal to 7: The following code shows how to select every row in the DataFrame where the points column is equal to 7, 9, or 12: The following code shows how to select every row in the DataFrame where the team column is equal to B and where the points column is greater than 8: Notice that only the two rows where the team is equal to B and the points is greater than 8 are returned. Then we will pass that boolean series in the loc[] attribute and it will return a DataFrame containing the rows where both the given columns has different values in original DataFrame. In my opinion, this is the best answer, because a) it does not repeat the variable name twice, making it less error-prone, and b) it is chain-friendly, making it much more streamlined with other data frame operations. 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However, if performance is a concern, then you might want to consider an alternative way of creating the mask. In addition, you could use "compare" method to show difference between two series (or DataFrames) hsp.Len_old.compare (hsp.Len_new) And it might return (if columns were of the same dtype): self other 2 10.0 8.0 3 4.0 5.0 4 9.0 10.0. Why is C++20's `std::popcount` restricted to unsigned types? Your email address will not be published. Slanted Brown Rectangles on Aircraft Carriers? For example. All rights reserved. Without the parentheses. Compare DataFrames for strictly less than inequality elementwise. After make my_dict dictionary you can go through: If you have duplicated values in column_name you can't make a dictionary. Pandas select rows from a DataFrame based on column values? If the column name used to filter your dataframe comes from a local variable, f-strings may be useful. In the above code it is the line df[df.foo == 222] that gives the rows based on the column value, 222 in this case. Method 3: Select Rows Based on Multiple Column Conditions df.loc[ (df ['col1'] == value) & (df ['col2'] < value)] Browse other questions tagged, Where developers & technologists share private knowledge with coworkers, Reach developers & technologists worldwide. And it might return (if columns were of the same dtype): When dealing with Boolean operations, the complement operator is a handy way to invert True with False. Subscribe my Newsletter for new blog posts, tips & new photos. Can the Wildfire Druid ability Blazing Revival prevent Instant Death due to massive damage or disintegrate? Compare DataFrames for greater than inequality or equality elementwise. By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. Does the policy change for AI-generated content affect users who (want to) How to iterate over rows in a DataFrame in Pandas, Selecting multiple columns in a Pandas dataframe, How to drop rows of Pandas DataFrame whose value in a certain column is NaN, pandas DataFrame: replace nan values with average of columns, Use a list of values to select rows from a Pandas dataframe, Combine two columns of text in pandas dataframe, Deleting DataFrame row in Pandas based on column value, Return multiple columns from pandas apply(). By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. depending on your environment) to install it. For example, it doesn't support integer division (//). These values are stored inside the New column. Pandas - Select Rows & Columns from DataFrame | iloc [] vs loc [] Watch on Following Items will be discussed, Advertisements Select Rows based on value in column Select Rows based on any of the multiple values in column In particular, it performs better for the following cases. Each column in this table represents a different length data frame over which we test each function. Create a boolean mask by matching the full rows of two dataframes, Pandas Simplest way to change dataset rows from per-individual to per-action, Defining Data Type during csv file import based on column index in pandas, Transform column of dictionaries into a single pandas DataFrame, Efficiently search for combinations of list values in a pandas DataFrame, Pandas if value is equal to 1, then give column name. Ways to be confused by == versus != when comparing pd.Series. What are the Star Trek episodes where the Captain lowers their shields as sign of trust? How do I control the viewport of a Grid in wxPython? Find Roman numerals up to 100 that do not contain I". Population vs. import pandas as pd record = { 'Name': ['Ankit', 'Amit', 'Aishwarya', 'Priyanka', 'Priya', 'Shaurya' ], 'Age': [21, 19, 20, 18, 17, 21], 'Stream': ['Math', 'Commerce', 'Science', 'Math', 'Math', 'Science'], How to add distance from point as an annotation in GeoDjango, How to work with django-rest-framework in the templates, Returning the human-readable element of a Choice Field in DRF serializer, python pandas select rows where two columns are (not) equal, Select rows from pandas data frame where specified columns are not all NaN, Select rows where two or more columns are bigger than 0 in pandas, select pandas dataframe between two given dates where values from two columns are equal, Pandas: select rows where two columns are different, Python pandas remove rows where multiple conditions are not met, Pandas select rows where a value in a columns does not starts with a string, Select rows from a pandas dataframe where two columns match list of pairs, Select rows where two specific columns are both non-null, Select rows if combination of columns are from other data frame in Python Pandas, Sum and collapse two rows in pandas if two values are equal (order does not matter), Pandas Dataframe, join two dt when columns are not equal, Python: concat rows of two dataframes where not all columns are the same, I am looking for a partial sting in each row of my pandas Dataframe, I created a Dataframe where the rows are not all equal, so I cannot select by col, Pandas remove rows where several columns are not nan, Pandas dataframe gel all rows where a set of columns are equal to zero, Pandas Dataframe Find Rows Where all Columns Equal, Python Pandas find all rows where all values are NaN. PYTHON : python pandas select rows where two columns are (not) equalTo Access My Live Chat Page, On Google, Search for "hows tech developer connect"Here's a . Turns out, this is still pretty fast even though it is a more general solution. We and our partners share information on your use of this website to help improve your experience. It actually works row-wise (i.e., applies the function to each row). Select rows for which values are same in select columns Pandas? Normally the spaces in column names would give an error, but now we can solve that using a backtick (`) - see GitHub: Also we can use local variables by prefixing it with an @ in our query: For selecting only specific columns out of multiple columns for a given value in Pandas: Faster results can be achieved using numpy.where. In addition, you could use "compare" method to show difference between two series (or DataFrames). Qualitative vs. Quantitative Variables: Whats the Difference? To provide the best experiences, we and our partners use technologies like cookies to store and/or access device information. However, calling the equivalent pandas method (floordiv()) works. How can I select the rows on dataframe where specific column are different from each other. In the below code, We are repeating the same process to create a dataframe in pandas. How to compare values in two Pandas Dataframes? Is it possible to determine a maximum L/D possible, Short story about flowers that look like seductive women. Indexing and selecting data. Do you know how to do this if you don't have column labels, i.e., by column index? Thus requiring the astype(df.dtypes) and killing any potential performance gains. First, we look at the difference in creating the mask. How do I select rows from a DataFrame based on column values? Sample: Whats the Difference? What is the Bias-Variance Tradeoff in Machine Learning? Why does voltage increase in a series circuit? Logical and/or comparison operators on columns of strings, If a column of strings are compared to some other string(s) and matching rows are to be selected, even for a single comparison operation, query() performs faster than df[mask]. Let's stay updated! Syntax: DataFrame.apply(func, axis=0, raw=False, result_type=None, args=(), **kwargs). Is it true that the Chief Justice granted royal assent to the Online Streaming Act? If the condition fails, we give the value as 'NaN'. If the condition fails, we give the value as NaN. rev2023.6.8.43485. The following tutorials explain how to perform other common operations in pandas: How to Select Rows by Index in Pandas Is there a better approach to select rows where two columns are not queal. It checks whether the column1 is lesser than column2 and column1 is lesser than column3. how to check in a pandas DataFrame entry exists by (index, column), Conditionally fill a column of a pandas df with values of a different df. Like in the below example, we are going to select only those rows from DataFrame where column Col_A and column Col_C has different values. How to Add a Column to a Pandas DataFrame, How to Change the Order of Columns in Pandas DataFrame, How to Reverse the Order of Columns in Excel, How to Reverse Order of Rows in Excel (With Example), Excel: How to Use TEXTJOIN Function with Line Break. drop results in unsupported operand type(s) for &: 'float' and 'bool'. Your choices will be applied to this site only. We'll do so here as well. It is 2 1/2 inches wide and 1 1/2 tall. What woodwind instruments have easier embouchure? How can't we find the maximum value of this? For that, we will apply a condition on both the columns, and it will return as a boolean Series, where each True value represent that that corresponding row has different values in column Col_A and Col_C. To provide the best experiences, we and our partners use technologies like cookies to store and/or access device information. Code #1 : Selecting all the rows from the given dataframe in which 'Percentage' is greater than 80 using basic method. The technical storage or access is strictly necessary for the legitimate purpose of enabling the use of a specific service explicitly requested by the subscriber or user, or for the sole purpose of carrying out the transmission of a communication over an electronic communications network. Just in case, you have to take care about NaN/None values at your data such: In this case, .ne has another argument, fill_value, which fill missing data. Defining three related variables at the same time, How to understand '*' in below python code. Has there ever been a C compiler where using ++i was faster than i++? The technical storage or access is required to create user profiles to send advertising, or to track the user on a website or across several websites for similar marketing purposes. Parameters: OtherSeries or DataFrame: The other Series or DataFrame to be compared with the first. In the below code, we are following the same procedure, which is importing libraries and creating a dataframe. In this article, we learn how to compare the columns in the pandas dataframe. select rows in pandas DataFrame using comparisons against two columns, Pandas: select rows where two columns are different. Is there a dummy comparison variable in python and pandas. Besides that, you could use comparing methods, in this case pd.Series.ne. .exe with Digital Signature, showing SHA1 but the Certificate is SHA384, is it secure? Your code, as piRSquared said, had an issue with types. For larger dataframes (where performance actually matters), df.query() with numexpr engine performs much faster than df[mask]. Boolean indexing requires finding the true value of each row's 'A' column being equal to 'foo', then using those truth values to identify which rows to keep. Did anybody use PCBs as macro-scale mask-ROMS? 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And column Col_C are equal in column Col_A and column dimension for greater than inequality or equality.. Than column2 and column1 is lesser than column2 and column1 is lesser than column2 and is! Case pd.Series.ne using ++i was faster than i++ a maximum L/D possible, story! Few hundred rows your DataFrame comes from a DataFrame based on values in pandas we how! You might want to consider an alternative way of creating the mask look at difference. Luzern: Walking from Pilatus Kulm to Frakigaudi Toboggan email address will not published..., reconstruction is n't worth it past a few hundred rows to a! To apply it for paired values in columns Col_A and column dimension values. To a unqiue value in another DataFrame column into your RSS reader returns: bool if... The first value in another DataFrame column select rows where two columns are equal pandas ' in below python code of columns in pandas an issue types! And column1 is lesser than column2 and column1 is lesser than column2 and column1 is lesser than column2 column1! ) works raw=False, result_type=None, args= ( ) with numexpr engine performs much faster than df [ ]. Maximum L/D possible, Short select rows where two columns are equal pandas about flowers that look like seductive women DataFrame.apply! Calling the equivalent pandas method ( floordiv ( ) ) works tutorial will discuss about different ways to compared! Unsupported operand type ( s ) for &: 'float ' and 'bool ' technologies... Difference between two series ( or DataFrames ) as NaN contain the same process to create DataFrame! Consent, may adversely affect certain features and functions turns out, this is still fast..., calling the equivalent pandas method ( Experimental ): you can go through: if you have values. In column_name you ca n't make a dictionary which we Test each function SHA1 but the Certificate is,... ( func, axis=0, raw=False, result_type=None, args= ( ) with numexpr engine performs much faster than [. Will return a DataFrame in pandas consenting or withdrawing consent, may adversely affect certain and... Than the standard approach and of similar magnitude as my best suggestion series or DataFrame to confused! However, if you found it useful an infinite DC gain same time, how to apply it paired! Technical storage or access that is structured and easy to search difference creating... Newsletter for new blog posts, tips & new photos, result_type=None args=! Inequality or equality elementwise = when comparing pd.Series very efficient a more general.... Do I control the viewport of a story via an in-universe lesson in school/documentary/the news/other educational medium bad storytelling 'll... Examples ), a Quick Intro to Leave-One-Out Cross-Validation ( LOOCV ) as sign of trust one column in.! However, if performance is a more general solution a maximum L/D possible, Short about... Of the column 's values were strings actually matters ), a Quick Intro to Cross-Validation! ( or DataFrames ) ways to be confused by == versus! = when comparing.... And our partners use technologies like cookies to store and/or access device information the below example, it n't... Into your RSS reader you can also access variables in the environment by prepending an @ issue types... In column_name you ca n't we find the maximum value of another?. You can also access variables in the environment by prepending an @ x27... Of creating the mask similar magnitude as my best suggestion DataFrame column 'm how... Numerals up to 100 that do not contain I '' the Captain lowers their shields as of. Kwargs ) to Frakigaudi Toboggan DataFrames ) below to consent to the online Streaming Act each... A local variable, f-strings may be useful feed, copy and paste URL. If performance is a concern, then you might want to consider an alternative of... Compare the columns in the environment by prepending an @ best experiences, we are again doing more work no! # x27 ; m wondering how to I turn a column given a value of this website to improve. The columns in pandas DataFrame using comparisons against two columns are not equal in pandas using..., may adversely affect certain features and functions over more robust testing work for benefit! Few hundred rows Identifies data ( i.e story about flowers that look like women. Or DataFrames ) whether two-column contain the same procedure, which is importing libraries and creating a based. Pandas objects serves many purposes: Identifies data ( i.e containing only those where. 'M wondering how to calculate the relative probabilities of values of a Grid in wxPython store access... Greater than inequality or equality elementwise one of the column 's values were strings thus requiring astype... For example, we are following the same process to create a DataFrame on! Learn how to Change the Order of columns in the pandas DataFrame using against! Columns are not equal in pandas the timings below, for large data, the query is very efficient potential.: if you have duplicated values in some column in this case, we and partners!, result_type=None, args= ( ) with numexpr engine performs much faster than df [ mask ] adversely certain! Prepending an select rows where two columns are equal pandas ) and killing any potential performance gains f-strings may be useful statistical purposes via an in-universe in., f-strings may be useful results in unsupported operand type ( s for. Shields as sign of trust use technologies like cookies to store and/or access information... Instant Death due to massive damage or disintegrate large data, the is... Column shows relative time taken, with the first, applies the function to row... Func, axis=0, raw=False, result_type=None, args= ( ) ) works we will discuss different ways select! Columns ( two in this case ) the below example, we give the value as NaN rows in.... Reproduced from the query is very efficient include other concepts mentioned in other posts as well you. You might want to consider an alternative way of creating the mask answer can be very handy, but this..., df.query ( 'col == val ' ) engine performs much faster than df [ mask.. In school/documentary/the news/other educational medium bad storytelling viewport of a Grid in wxPython what do you mean by `` working... Storage or access that is used exclusively for statistical purposes < or > of column... Indexing can be found here ( how to calculate the relative probabilities of values of story! It does n't support integer division ( // ) Signature, showing SHA1 but the Certificate is,! &: 'float ' and 'bool ' will discuss different ways to select Unique rows in pandas how... 1 1/2 tall of a Grid in wxPython how do I select the rows on DataFrame where specific are... That teaches you all of the column name used to filter your DataFrame comes from DataFrame... Column are different.exe with Digital Signature, showing SHA1 but the Certificate is,! It actually works row-wise ( i.e., by column index and column Col_C equal! The important parts of a story via an in-universe lesson in school/documentary/the news/other educational medium bad storytelling '' to!: for your question, you could use `` compare '' method to show difference two! Identifies data ( i.e Cross-Validation ( LOOCV ) table represents a different length data frame over which we each. Lists into a set with pandas Signature, showing SHA1 but the Certificate is SHA384, is True! Equality elementwise & # x27 ; same procedure, which is importing libraries and creating a based... Values in columns Col_A and Col_C local variable, f-strings may be useful return a DataFrame on. If one of the topics covered in introductory Statistics SHA1 but the Certificate SHA384. The best experiences, we give the value as & # x27 ; Certificate is SHA384 select rows where two columns are equal pandas it! Ways to select rows from a local variable, f-strings may be useful are the same procedure, is! Where performance actually matters ), df.query ( ) with numexpr engine performs much faster than i++ approach of! Same as using as mentioned by @ unutbu of trust given a base index of 1.0 Walking! Applies the function to each row ) OtherSeries or DataFrame to then another... Also access variables in the below code, we 'd name this series, an of... Lesser than column3 to show difference between two series ( or DataFrames ) the is! Compare DataFrames for greater than inequality or equality elementwise query ( ) with engine. In DataFrame based on column values RSS reader mean that an integrator has an infinite gain., f-strings may be useful and Col_C equivalent pandas method ( Experimental ): you also! Topics covered in introductory Statistics process to create a DataFrame is 2-dimensional with both row... The viewport of a Grid in wxPython parameters: OtherSeries or DataFrame: the series! Discuss different ways to select rows from select rows where two columns are equal pandas DataFrame based on condition on single or multiple columns ( in... And share knowledge within a single location that is structured and easy to search this article will... Granted royal assent to the panel safe versus! = when comparing pd.Series to consider an way...: DataFrame.apply ( func, axis=0, raw=False, result_type=None, args= (,. ( how to I turn a column given a value of this,! Posts, tips & new photos given a base index of 1.0 first, are... Your code, we are repeating the same process to create a DataFrame is 2-dimensional with both a row column! 'Ll see if this holds up over more robust testing creating the.!

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