Cannot reindex from a duplicate axis explode

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August undefined, 2024

WebDec 28, 2024 · df_dlabel.reindex(list('AC')) ValueError: cannot reindex from a duplicate axis 以下は重複した列名があると、結果は自動で判断されて、エラーでなく警告が出る例。 df_dlabel.to_dict() UserWarning: DataFrame columns are not unique, some columns will be omitted. {'A': {'a': 3, 'b': 6}, 'B': {'a': 5, 'b': 8}} 新たなる挙動

Python ValueError: cannot reindex from a duplicate axis

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. … 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 imagine working class hero

[Code]-pd.Series.explode results to a ValueError: cannot reindex …

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 WebOct 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 … imagine world

Pandas dataframe masking error: cannot reindex on an axis with ...

python - ValueError: cannot reindex on an axis with duplicate …

WebDec 13, 2024 · 1 I try to calculate groupby pct_change using df.groupby ('type') ['value'].apply (lambda x: x.pct_change ()) for a dataframe. But it generates ValueError: cannot reindex from a duplicate axis, any ideas how to deal with this issues? Thanks. python pandas pandas-groupby Share Follow asked Dec 13, 2024 at 5:19 ah bon 9,053 … 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. imagine workwearWebJul 27, 2024 · df = df.apply (pd.Series.explode) However, this gives me ValueError: cannot reindex from a duplicate axis. I have traced the culprit to the row 6 (last row) of df. I … list of foods containing red dye

"WebThis 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 ()] " - Cannot reindex from a duplicate axis explode

Cannot reindex from a duplicate axis explode

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 … 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 …

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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 … 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 …

WebJun 4, 2024 · NOTE: this is not the same as Split (explode) pandas dataframe string entry to separate rows as here the exploding/splitting of one record is not just across one column but the need is to split or explode one row into multiple rows, in two columns simultaneously. Any help is appreciated. Thanks 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 …

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 … WebYou.com is a search engine built on artificial intelligence that provides users with a customized search experience while keeping their data 100% private. Try it today.

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 …

WebMar 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 … list of foods containing polyphenolsWebJun 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 … list of foods containing citric acidWebSince 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 … imagine world education centerWebroot = 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: list of foods containing glutenWebMar 28, 2024 · Remove or modify duplicate values: There are several ways to handle duplicate index values: a. Reset the index: You can reset the index to the default integer … imagineworldclientWebSolving ValueError: cannot reindex from a duplicate axis when exploding multiple columns with different lenghts pandas: cannot reindex from a duplicate axis pandas … imagine wool diaper coverWebAug 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: list of foods containing iron for anemia