Dask cannot reindex from a duplicate axis
WebDec 14, 2024 · Reindex won't work if there's duplicate axis. ValueError: cannot reindex from a duplicate axis. Note: df was created by df=pd.read_csv('foobar.csv') python; pandas; dataframe; Share. Follow edited Dec 14, 2024 at 21:29. marc_s. 725k 174 174 gold badges 1326 1326 silver badges 1449 1449 bronze badges. WebJan 17, 2024 · Currently, the data is daily, but I would like to resample the data into a new df that contains every 6 months nth. Therefore I did: Mj_rank_s = Mj_rank.resample ('6M').asfreq ().tail () which gives me this output: ValueError: cannot reindex from a duplicate axis. strangely enough, if I use other methods like max () or min () it works …
Dask cannot reindex from a duplicate axis
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WebJan 26, 2024 · df ['avg3d']=df.groupby ('g') ['v'].transform (lambda x: x.rolling ('3D').mean ()) Get errors like: ValueError: index must be monotonic, ValueError: Not all divisions are known, can't align partitions or ValueError: cannot reindex from a … WebJul 13, 2024 · ValueError: cannot reindex from a duplicate axis I have already verified that I don't have any duplicate index in the dataframe. The length of the lists in both the column for each row have same no of elements.
WebOct 1, 2024 · y needs to be a column name, not a pandas.Series: code. You can slice the columns to get the desired names: (e.g. df.columns [3:]) y= can be a pandas.Series object, but it's giving you trouble here because it still has the duplicate index from the original dataframe. That said, this code seems like it would be cleaner if you looped over column ... 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 …
WebDec 17, 2024 · Dask probably infers the wrong datatype: It assumes an integer column by looking at the top values. Then you run into the problem that the unexpected NA can't be converted to int. You don't get these problems with Pandas because in that case the whole column is considered to determine the data type. WebApr 27, 2024 · Dataframe drops rows after set index · Issue #6145 · dask/dask · GitHub Dataframe drops rows after set index #6145 Closed on Apr 27, 2024 dvirginz on Apr 27, 2024 We raise in DataFrame. setitem for NumPy.ndarrays. We verify that the number of partitions match for Dask Arrays We align for Dask Series / DataFrames
WebJun 8, 2024 · Error: ValueError: cannot reindex from a duplicate axis However, the following code which only differs by one element in the index will execute without producing the error: data = …
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: bio actor kerwin mathewsWebMar 16, 2024 · When you run the script, Client () is causing new Dask workers to be spawned, which also get copies of variables from the original main process. In some some cases, this involves re-importing the script in each worker, each of which, of course, then tries to create a Client and new set of processes. bio actor john nettlesdaewoo dd7098 external water filterWebMar 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 align the values with the index. Joining with another DataFrame, reindexing a DataFrame, resampling a DataFrame simply will not work. bio actor michael t. weissWebJun 3, 2024 · Make sure that before you do this, the dataframe has no duplicate indexes as it throws ValueError: cannot reindex from a duplicate axis. To go around that, either you should remove duplicated indexes by df = df [~df.index.duplicated ()] or reset your indexes by df.reset_index (inplace=True). – Habib Karbasian May 13, 2024 at 3:53 bio actor peter marshallWebThis 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 ()] bio actor mark sheraWebAug 20, 2024 · If you look at the error message “ cannot reindex from a duplicate axis “, it means that Pandas DataFrame has duplicate index values. Hence when we do certain operations such as concatenating a … daewoo customer service number uk