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Cannot reindex from a duplicate axis explode

WebApr 11, 2024 · ValueError: cannot reindex on an axis with duplicate labels. What could be the reason for this error? Thanks in advance. python; pandas; Share. Improve this … WebNov 12, 2024 · That have to depend on what output OP wants from an uneven unnesting. – Henry Yik Nov 12, 2024 at 14:15 And, my data does contain columns with different list lengths. The above response yields this error: 'ValueError: cannot reindex from a duplicate axis' – John Taylor Nov 12, 2024 at 14:15 Please add expected output.

cannot reindex on an axis with duplicate labels while doing time …

WebSolution One: Remove the duplicate indices Solution Two: Use the level parameter Solution Three: Use the Columns Parameter Conclusion References How the error occurs Here is … Webdf.apply (pd.Series.explode) I am getting the following error. ValueError: cannot reindex from a duplicate axis I have already verified that I don’t have any duplicate index in the … rbs newton park https://ninjabeagle.com

ValueError: "cannot reindex from a duplicate axis" in groupby …

Web3097 # trying to reindex on an axis with duplicates 3098 if not self.is_unique and len(indexer): -> 3099 raise ValueError("cannot reindex from a duplicate axis") 3100 3101 def reindex(self, target, method=None, level=None, limit=None, tolerance=None): ValueError: cannot reindex from a duplicate axis WebJun 8, 2024 · This code will produce the "cannot reindex from a duplicate index" error, whereas the original code provided in the Stack Overflow thread works fine. The minimal working example I've found was just the simplest way to reproduce the error. Contributor kernc commented on Sep 1, 2024 • edited Webstacked = df.stack ().explode ().reset_index () stacked ["uid"] = stacked.groupby ( ["level_0", "level_1"]).cumcount () output = stacked.pivot ( ["level_0", "uid"], "level_1", 0).reset_index (drop=True).rename_axis (None, axis=1) >>> output TGR1 TGR2 TGR3 0 1 5 4 1 7 8 1 2 5 1 8 3 9 1 3 4 1 7 2 .. ... ... ... 69 4 8 2 70 5 4 2 71 5 1 4 72 2 6 1 … rbs newton mearns

Python ValueError: cannot reindex from a duplicate axis

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Cannot reindex from a duplicate axis explode

Python Pandas ValueError: cannot reindex from a duplicate axis

WebMar 29, 2024 · 1 Answer Sorted by: 0 If something is wrong with your index, you might reset the index with: test_df.reset_index (level=0, inplace=True) Share Improve this answer Follow answered Mar 29, 2024 at 15:19 user18334962 25 4 Add a comment Your Answer By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie … WebAug 21, 2024 · 1 Answer Sorted by: 17 Operations between series require non-duplicated indices, otherwise Pandas doesn't know how to align values in calculations. This isn't the case with your data currently. If you are certain that your series are aligned by position, you can call reset_index on each dataframe:

Cannot reindex from a duplicate axis explode

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WebApr 11, 2024 · df = pd.read_csv ("/content/sample_data/used_cars.csv") dds = df.assign (engines_type= lambda x: x ['engine_type'].str.split (r'\s*_\s*').explode ()).reset_index () I am getting the following error ValueError: cannot reindex on an axis with duplicate labels What could be the reason for this error? Thanks in advance python Share Follow Webstacked = df.stack ().explode ().reset_index () stacked ["uid"] = stacked.groupby ( ["level_0", "level_1"]).cumcount () output = stacked.pivot ( ["level_0", "uid"], "level_1", 0).reset_index …

WebFeb 21, 2024 · 前述のように、重複の処理というのは生データを読み込む際に重要な機能です。とはいえ、(pandas.concat()やrename()などのメソッドからの)データ処理パイプラインの一部として重複を導入するのは避けたいかもしれません。 SeriesとDataFrameは、.set_flags(ables_duplicate_labels=False)を呼び出すことで ... WebJan 25, 2024 · and it always give me this error: cannot reindex on an axis with duplicate labels. From what I understand, the mask contains a boolean list of my overallResult column, true if truthyVal is found on that row, and false if not. I am pretty sure that I am not applying my mask correctly here.

WebDec 14, 2024 · ValueError: cannot reindex from a duplicate axis 注:dfはによって作成されました df= pd.read_csv( 'foobar.csv') インデックスの再作成が必要な理由がわかりません。 df.sort_values( 'colX'、ascending= False)を実行したい Quang Hoang2024-12-14 14:29:09 @QuangHoangメソッドsort_valuesを使用できることは知っていますが、残念 …

WebJan 2, 2024 · Remove Duplicated indexes We can use the pandas loc indexer in order to get rid of any duplicated indexes. Using this option the second duplicated index is …

WebJun 2, 2024 · In the Python programming language, ValueError: cannot reindex on an axis with duplicate labels is a common error and this error has occurred because of … sims 4 food texture replacementWebMar 7, 2024 · Apparently, the python error is the result of doing operations on a DataFrame that has duplicate index values. Operations that require unique index values need to … sims 4 football kitWebSince it looks like you are trying to reset the index to default integer values anyway and just using set_index () to remove the 'leftover' index values of df, I would suggest the … sims 4 football kit ccWebThis error is often thrown due to duplications in your column names (not necessarily values) First, just check if there is any duplication in your column names using the code: df.columns.duplicated ().any () If it's true, then remove the duplicated columns df.loc [:,~df.columns.duplicated ()] sims 4 football helmet ccWebroot = json_normalize (j) x = (root.applymap (type) == list).all () y = x.index [x].tolist () root = root.apply (lambda x: [str (v).split (',') for v in x]).apply (pd.Series.explode) print (root) I tried this solution here, but I get a value error: ValueError: cannot reindex from a duplicate axis Expected Result: rbs notify bereavementWeb3097 # trying to reindex on an axis with duplicates. 3098 if not self.is_unique and len(indexer): -> 3099 raise ValueError("cannot reindex from a duplicate axis") 3100. … rbsn newsWebOct 13, 2024 · thanks for you response, I was able to resolve the ValueError issue using the below function (df.set_index ('index').apply (lambda x: x.apply (pd.Series).stack … sims 4 football field cc