Cannot reindex from a duplicate axis explode

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August undefined, 2024

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 … 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 …

python - Explode multiple columns in Pandas - Stack Overflow

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 … WebDec 31, 2014 · As said in comment, your 'Timestamp' isn't datetime and probably as string so you cannot resample by DatetimeIndex, just reset_index and convert it something … floated flooring

Scanpy concatenation results in ValueError: cannot …

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 … 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 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 … floatee matress meme

python - ValueError: cannot reindex from a duplicate axis using …

How to Fix ValueError: cannot reindex from a duplicate axis

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 ... 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 … floated shortsWebSince 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 … floated house

"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 … " - Cannot reindex from a duplicate axis explode

Cannot reindex from a duplicate axis explode

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

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

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WebJan 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. 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 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 … 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 …

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 … 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

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 …

Web[Code]-How to fix "ValueError: cannot reindex on an axis with duplicate labels" in python when I try to do?-pandas score:0 Accepted answer Make two columns have lists of the same length, then two columns can be exploded at the same time. great healthworks omega xl reviewsWebJan 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 () great healthworks phone numberWeb3097 # 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 great healthworks probiotic xl floatel international operators b.vWebMar 31, 2024 · cannot reindex on an axis with duplicate labels while doing time series - Stack Overflow cannot reindex on an axis with duplicate labels while doing time series … great healthworks probioticsWeb3097 # 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. … great healthworks scamWebNov 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. floatel cabins milford haven