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I'm trying to run PlasmidID via the Bioconda release, and Am running into an issue with Pandas. Might be user error though!
CREATING SUMMARY REPORT (Thu Jun 30 01:24:20 UTC 2022)
An html report with miniatures of the images will be generate with useful statistics to determine the correct plasmids in the sample.
Namespace(group=False, input_folder='/home/robert_petit/temp/test/plasmid/NO_GROUP/SRX4563634')
Creating summary
You are trying to merge on object and float64 columns. If you wish to proceed you should use pd.concat
Traceback (most recent call last):
File "/home/robert_petit/miniconda3/envs/test-plasmidid/bin/summary_report_pid.py", line 465, in <module>
main()
File "/home/robert_petit/miniconda3/envs/test-plasmidid/bin/summary_report_pid.py", line 457, in main
summary_df = complete_report_df(complete_file, len_description_df, percentage_df)
File "/home/robert_petit/miniconda3/envs/test-plasmidid/bin/summary_report_pid.py", line 116, in complete_report_df
df = len_description_df.merge(covered_df, on='id', how='left')
File "/home/robert_petit/miniconda3/envs/test-plasmidid/lib/python3.7/site-packages/pandas/core/frame.py", line 9203, in merge
validate=validate,
File "/home/robert_petit/miniconda3/envs/test-plasmidid/lib/python3.7/site-packages/pandas/core/reshape/merge.py", line 119, in merge
validate=validate,
File "/home/robert_petit/miniconda3/envs/test-plasmidid/lib/python3.7/site-packages/pandas/core/reshape/merge.py", line 703, in __init__
self._maybe_coerce_merge_keys()
File "/home/robert_petit/miniconda3/envs/test-plasmidid/lib/python3.7/site-packages/pandas/core/reshape/merge.py", line 1256, in _maybe_coerce_merge_keys
raise ValueError(msg)
ValueError: You are trying to merge on object and float64 columns. If you wish to proceed you should use pd.concat
Traceback (most recent call last):
File "/home/robert_petit/miniconda3/envs/test-plasmidid/bin/summary_report_pid.py", line 465, in <module>
main()
File "/home/robert_petit/miniconda3/envs/test-plasmidid/bin/summary_report_pid.py", line 457, in main
summary_df = complete_report_df(complete_file, len_description_df, percentage_df)
File "/home/robert_petit/miniconda3/envs/test-plasmidid/bin/summary_report_pid.py", line 116, in complete_report_df
df = len_description_df.merge(covered_df, on='id', how='left')
File "/home/robert_petit/miniconda3/envs/test-plasmidid/lib/python3.7/site-packages/pandas/core/frame.py", line 9203, in merge
validate=validate,
File "/home/robert_petit/miniconda3/envs/test-plasmidid/lib/python3.7/site-packages/pandas/core/reshape/merge.py", line 119, in merge
validate=validate,
File "/home/robert_petit/miniconda3/envs/test-plasmidid/lib/python3.7/site-packages/pandas/core/reshape/merge.py", line 703, in __init__
self._maybe_coerce_merge_keys()
File "/home/robert_petit/miniconda3/envs/test-plasmidid/lib/python3.7/site-packages/pandas/core/reshape/merge.py", line 1256, in _maybe_coerce_merge_keys
raise ValueError(msg)
ValueError: You are trying to merge on object and float64 columns. If you wish to proceed you should use pd.concat
---------------------------------------
ERROR in Script plasmidID on or near line 1089; exiting with status 1
MESSAGE:
See /home/robert_petit/temp/test/plasmid/logs/plasmidID.log for more information.
command:
summary_report_pid.py -i /home/robert_petit/temp/test/plasmid/NO_GROUP/SRX4563634 -g
---------------------------------------
Doing some digging, covered_df might the issue. It looks like this:
print(covered_df)
id len_covered
0 500039.4128 2363
print(covered_df.dtypes)
id float64
len_covered int64
dtype: object
Going to play around with this some more
Update 2
Converted the ID to a string and now have this
Columns must be same length as key
Traceback (most recent call last):
File "./summary_report_pid.py", line 470, in <module>
main()
File "./summary_report_pid.py", line 462, in main
summary_df = complete_report_df(complete_file, len_description_df, percentage_df)
File "./summary_report_pid.py", line 126, in complete_report_df
df['contig_name'] = df.apply(lambda x: set_to_list(x), axis=1)
File "/home/robert_petit/miniconda3/envs/test-plasmidid/lib/python3.7/site-packages/pandas/core/frame.py", line 3602, in __setitem__
self._set_item_frame_value(key, value)
File "/home/robert_petit/miniconda3/envs/test-plasmidid/lib/python3.7/site-packages/pandas/core/frame.py", line 3729, in _set_item_frame_value
raise ValueError("Columns must be same length as key")
ValueError: Columns must be same length as key
Traceback (most recent call last):
File "./summary_report_pid.py", line 470, in <module>
main()
File "./summary_report_pid.py", line 462, in main
summary_df = complete_report_df(complete_file, len_description_df, percentage_df)
File "./summary_report_pid.py", line 126, in complete_report_df
df['contig_name'] = df.apply(lambda x: set_to_list(x), axis=1)
File "/home/robert_petit/miniconda3/envs/test-plasmidid/lib/python3.7/site-packages/pandas/core/frame.py", line 3602, in __setitem__
self._set_item_frame_value(key, value)
File "/home/robert_petit/miniconda3/envs/test-plasmidid/lib/python3.7/site-packages/pandas/core/frame.py", line 3729, in _set_item_frame_value
raise ValueError("Columns must be same length as key")
ValueError: Columns must be same length as key
Hi @rpetit3 ! Thanks for getting in touch!
I will take a look! It surely matters that percentage file is empty!
i think the problem is the input files, you are using as input PlasmidFinder database, that is only rep and INC genes for detecting if there is a plasmid.
PlasmidID needs as a database a set of COMPLETE plasmids in fasta format, because it tries to reconstruct the whole plasmids in the sample not only detect if there is one.
In order to build the database you can create a custom one with sequences of your choice, or you can follow this steps: https://github.com/BU-ISCIII/plasmidID/wiki/Plasmid-Database
In any case I'm aware that the summary plasmid script may be a little bit buggy, so if you get any error, please tell me and I can check what is going on :)
I'm trying to run PlasmidID via the Bioconda release, and Am running into an issue with Pandas. Might be user error though!
Command Used
Here are the files used (added .txt so GitHub would allow upload)
plasmidFinder_01_26_2018.fsa.txt
SRX4563634.fna.txt
Update 1.
Doing some digging,
covered_df
might the issue. It looks like this:Going to play around with this some more
Update 2
Converted the ID to a string and now have this
Update 3
Looks like the dataframe is empty
Not sure if it matters but the
percentage_file
(e.g. *.coverage_adapted_clustered_percentage) does not existThe text was updated successfully, but these errors were encountered: