/apps/python/3.11.0/lib/python3.11/site-packages/nanoget/utils.py:19: FutureWarning: In a future version, df.iloc[:, i] = newvals will attempt to set the values inplace instead of always setting a new array. To retain the old behavior, use either df[df.columns[i]] = newvals or, if columns are non-unique, df.isetitem(i, newvals)
df.loc[:, df_int.columns] = df_int.apply(pd.to_numeric, downcast='integer')
/apps/python/3.11.0/lib/python3.11/site-packages/nanoget/utils.py:20: FutureWarning: In a future version, df.iloc[:, i] = newvals will attempt to set the values inplace instead of always setting a new array. To retain the old behavior, use either df[df.columns[i]] = newvals or, if columns are non-unique, df.isetitem(i, newvals)
df.loc[:, df_float.columns] = df_float.apply(pd.to_numeric, downcast='float')
`
wdecoster
commented
10 months ago
Could you please help with this error/warning? Could it simply be ignored. I am still getting all the results files.
Also it is not using all the cores but only one.
`NanoPlot --threads 64 --fastq ../nano.fastq --store
/apps/python/3.11.0/lib/python3.11/site-packages/nanoget/utils.py:19: FutureWarning: In a future version,
df.iloc[:, i] = newvalswill attempt to set the values inplace instead of always setting a new array. To retain the old behavior, use eitherdf[df.columns[i]] = newvalsor, if columns are non-unique,df.isetitem(i, newvals)df.loc[:, df_int.columns] = df_int.apply(pd.to_numeric, downcast='integer') /apps/python/3.11.0/lib/python3.11/site-packages/nanoget/utils.py:20: FutureWarning: In a future version,df.iloc[:, i] = newvalswill attempt to set the values inplace instead of always setting a new array. To retain the old behavior, use eitherdf[df.columns[i]] = newvalsor, if columns are non-unique,df.isetitem(i, newvals)df.loc[:, df_float.columns] = df_float.apply(pd.to_numeric, downcast='float') `