Cannot reindex from a duplicate axis explode

Author: ntwp

August undefined, 2024

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. 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 …

How to resolve ValueError: cannot reindex from a duplicate axis

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 … Webroot = 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: daikin nederland airconditioning

"cannot reindex from a duplicate axis" when groupby().apply() …

WebOct 25, 2024 · Scanpy concatenation results in ValueError: cannot reindex from a duplicate axis #2364. Closed 2 tasks done. viraj-rapolu opened this issue Oct 25, 2024 … 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 3, 2024 · You need to remove the duplicated entries in the index first, e.g., as described in Remove pandas rows with duplicate indices: The simplest choice would be to drop duplicates, e.g., df [~df.index.duplicated ()] You might also use a groupby operation, e.g., to compute the mean: df.groupby (level=df.index.names).mean () daikin new evolution 12000 btu

Solve valueerror cannot reindex from a duplicate axis in pandas

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

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 … 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 daikin new materials changshu co. ltdWebJun 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 biofreeze spray near me

"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 " - Cannot reindex from a duplicate axis explode

Cannot reindex from a duplicate axis explode

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 … 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.

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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 … WebJul 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 …

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 ()] 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 …

WebSolving ValueError: cannot reindex from a duplicate axis when exploding multiple columns with different lenghts pandas: cannot reindex from a duplicate axis pandas … 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 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 …

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 … biofreeze walmart couponWebApr 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 … daikin navigation software breadcrumbs layoutWebMar 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 … daikin new plant in sri cityWebYou.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. biofreeze samples 100 packsWebAug 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: daikin new evolution 18000 btuWebJan 15, 2024 · 1 Start with some correction in your input Excel file, namely change First name to First Name - with capital "N", just like in other columns. Then, to read your Excel file, it is enough to run: df = pd.read_excel ('Input.xlsx', parse_dates= ['Start Date', 'End Date', 'Invoice Date'], dayfirst=True) No need to call to_datetime. biofreeze spray ebay for saleWebstacked = 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 … biofresh4+