I would just like it to return the value once.Ĭode to recreate df df=,]ĭf = pd.DataFrame(df, columns=)ĭf2 = df.reindex(df.columns.tolist() + ,axis=True) so if python and Rstudio are referenced more than once it will return each occurrence. The job description might reference the values in a list multiple times. My current solution: df2 = ('|'.join(pl_list),re.IGNORECASE)ĭf2 = ('|'.join(dv_list),re.IGNORECASE)
Programming_Languages,Data visualisation etcĮach column has a list of values to check for there occurrence in the job description eg. To extract the key skill requirements from the job description column a number of additional columns were created.
The Job description column contains the full job description. I have a dataframe which includes a number of job listings. My issue is that multiple values from the list might exist in each row of the df and the list values might be referenced more than once. However, The solution provided appears to work where only one element of the list will exist in the dataframe column. Examples: vs2015, ucrt, vc are Windows specific libnsl, libgfortran5 are Linux specific.My question is similar to this question raised One of the most likely reasons is that those packages are specific to operating system. While executing restoration command renv::restore() you may see that some conda packages are not available. Some conda packages are only available on Linux or only on Windows. This will overwrite the one created by renv::snapshot(), which does include build information, which is specific to OS, and may create problems for environment setup on another OSĬhange name parameter within the file to nullĬhange prefix parameter within file to appropriate value Recreate environment.yml file using commands:Ĭonda activate renv/python/condaenvs/renv-pythonĬonda env export -no-build > environment.yml In case you or your collaborators are going to reproduce the same environment on a different OS (for example Widnows -> Linux or Linux -> Windows), you may need to change content of this file.
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