python - Issue with concatenating and replace in Pandas dataframe -


i stymied something, , if fix 1 way, breaks else.

i have set of data lists file status country. want is, each country in country column, print missing files each status in visitstatus column. rows country=france, every visit "complete", list number of missing files.

there 2 dataframes concatenating 1 combined set work , deliver final output. concat'ing df_s , df_ins df_combined.

when grab set of unique values country , visitstatus columns loop over, try write out results per country excel file workbook, quirks in data kick out 'duplicate sheetname' error. in 1 of source dataframes, there status of "do not review" in visitstatus column, in other source dataframe, it's named "do not review", lowercase second 2 words. when they're concatenated, kicks out unique values of "do not review" , "do not review". when xslx writer tries make workbooks second one, checks against existing workbooks disregarding case, finds first one, decides same since ignoring case, , kicks out error saying 'do not review' worksheet exists.

if run replace() , change "do not review" values in visitstatus column "do not review" match , don't give 2 results when call unique(), breaks , gives me keyerror on visitstatus.

so far have read thread after thread , haven't been able solve this. tried running replace() on source dataframe, , throws error saying "status" float , can't handled string.

i'm @ loss. in advance!

#     combo # merge screening , in study datasets df_combined = pd.concat([df_s,df_ins], axis=0, ignore_index=true) df_combined = df_combined.query('visitstatus != "hand off  information"') print(df_combined.columns.values)  print("---------------------------------------------------------------------------------") # display , save out country , missing file status statuses = df_combined['visitstatus'].unique() countries = df_combined['country'].unique() status in statuses:     print("x" + status + "x")     print('\n') print (statuses) country in countries:     status in statuses:         print('\n')         print("---> missing files " + country + " visits status of: " + str(status))         df_cmb = df_combined[(df_combined.country==country) & (df_combined.visitstatus==status)]         print('\n')         numrows=df_cmb.shape[0]         if numrows > 0:             print("----> number of visits in " + str(status) + " subset: " + str(numrows))             print("drf forms missing: " + str(df_cmb['drf-form-uploaded'].sum()) + " vs. " + str(numrows - df_cmb['drf-form-uploaded'].sum()) + " collected")             print("cssrs forms missing: " + str(df_cmb['cssrs-form-uploaded'].sum()) + " vs. " + str(numrows - df_cmb['cssrs-form-uploaded'].sum()) + " collected")             print("cdr forms missing: " + str(df_cmb['cdr-form-uploaded'].sum()) + " vs. " + str(numrows - df_cmb['cdr-form-uploaded'].sum()) + " collected")             print("cdr audio missing: " + str(df_cmb['cdr-audio-uploaded'].sum()) + " vs. " + str(numrows - df_cmb['cdr-audio-uploaded'].sum()) + " collected")             print("mmse forms missing: " + str(df_cmb['mmse-form-uploaded'].sum()) + " vs. " + str(numrows - df_cmb['mmse-form-uploaded'].sum()) + " collected")             print("mmse audio missing: " + str(df_cmb['mmse-audio-uploaded'].sum()) + " vs. " + str(numrows - df_cmb['mmse-audio-uploaded'].sum()) + " collected")             print("rbans forms missing: " + str(df_cmb['rbans-form-uploaded'].sum()) + " vs. " + str(numrows - df_cmb['rbans-form-uploaded'].sum()) + " collected")             print("rbans audio missing: " + str(df_cmb['rbans-audio-uploaded'].sum()) + " vs. " + str(numrows - df_cmb['rbans-audio-uploaded'].sum()) + " collected")             print("--------------------------------------")             print('\n')         else:             print("no " + status + " files/visits " + country)         if country =="united states":             country="usa"         # borked in next line - somehow there 2 "do not review" status types in combined file, triggers "already in use" sheetname         df_cmb.to_excel(combo_writer, header=true, index=false, sheet_name=str(country)[:3] + "-by-" + str(status))

oh lord. i'm answering own question.

so tinkered more , nothing else made sense, started wondering if putting in arguments replace() correctly, , had them backwards. assumed "do not review" needed changed "do not review", other way around...i assumed incorrectly source file data needed modified. once flipped them, works.


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