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 · 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

Pandas explode - cannot reindex from a duplicate axis

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 … 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 … dr amy schell lexington ky

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

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 … 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 … 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 … emotional speeches youtube

Scanpy concatenation results in ValueError: cannot …

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. 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 dr. amy schepens gulfport lorraine cowan emotional song list

"WebMar 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 … " - Cannot reindex from a duplicate axis explode

Cannot reindex from a duplicate axis explode

[Code]-How to fix "ValueError: cannot reindex on an axis with duplicate …

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.

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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 … 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 …

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 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.

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. 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 …

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. …

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. emotional songs about kids growing upWebDec 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 dr. amy schefler houstonWebJun 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 … emotional space and societyWebstacked = 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 … emotional sortingWebThis 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 ()] emotional sources of motivationWebSince 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 … emotional sources of diseaseWebroot = 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: emotional spikes