Dask cannot reindex from a duplicate axis
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 … WebApr 17, 2024 · ValueError: cannot reindex from a duplicate axis I know this isn't very helpful but I could not reproduce this error. Note there are some series with the same index eg. between ID2 and ID4 above. python pandas Share Follow asked Apr 17, 2024 at 11:25 Cr1064 399 4 14 Add a comment 1 Answer Sorted by: 0
Dask cannot reindex from a duplicate axis
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WebDec 6, 2024 · ValueError: cannot reindex from a duplicate axis What i am trying to do is fill the missing dates and reindex the column. As mentioned by @jezrael "problem is duplicated values in DatetimeIndex, so reindex cannot be used here" I have used the same code earlier and it worked fine. Curious why it is not working in this case 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.
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. WebMar 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.
WebNov 22, 2024 · It also provides a way to fill the missing values in the dataframe. A new object is produced unless the new index is equivalent to the current one and copy=False. Syntax: Syntax: DataFrame.reindex_axis (labels, axis=0, method=None, level=None, copy=True, limit=None, fill_value=nan) Parameters : labels : New labels / index to … 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 ()
WebAug 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 …
WebIndices with duplicate values often arise if you create a DataFrame by concatenating other DataFrames. IF you don't care about preserving the values of your index, and you want … long term futureWebAug 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 … hope your ok lyrics oliviaWebOct 25, 2024 · New issue Scanpy concatenation results in ValueError: cannot reindex from a duplicate axis #2364 Closed 2 tasks done viraj-rapolu opened this issue on Oct 25 · 1 comment I have checked that this issue has not already been reported. I have confirmed this bug exists on the latest version of scanpy. hope your smiling