UnicodeEncodeError: 'charmap' codec can't encode character '\uff1f' in position 6: character maps to <undefined>

[BongeZagh]

If you have this error

python csv2logseq.py "russia.csv" ruassia.md
Traceback (most recent call last):
  File "csv2logseq.py", line 44, in <module>
    print("\t\t"+str(index)+":: "+str(data[i]))
  File "C:\Users\10024\AppData\Local\Programs\Python\Python37-32\lib\encodings\cp1252.py", line 19, in encode
    return codecs.charmap_encode(input,self.errors,encoding_table)[0]
UnicodeEncodeError: 'charmap' codec can't encode character '\uff1f' in position 6: character maps to <undefined>
"

then you can try this version to solve the problem

# you may pip install pandas before.
import sys
import pandas as pd

# read file from argv
df = pd.read_csv (sys.argv[1], na_filter=False)

# extract csv file name
import_file_name = sys.argv[1].split('.')[0]

if len(sys.argv) == 3:
    table_name = sys.argv[2]
else:
    table_name = ''
    print("Maybe you forget your \"table name\" or type it wrong!")

# put the output file (same name with your input file but with _local.md)
output_file = open('./'+import_file_name+'.md', 'w')
sys.stdout = output_file

# pd.set_option('max_colwidth',None)
df.columns = df.columns.str.strip()
df.columns = df.columns.str.replace(' ', '_')

# create a first-level block in your logseq, the name is your input file
print("- "+str(sys.argv[1]))

# find first column name, you will use it as block title
first_column_name = df.columns[0]

# output from csv to block properties
for i in range(df.shape[0]):
    for index,data in df.iteritems():
        # block title is your first column name in csv
        if index == first_column_name:
            # create a second-level block under above first-level block, this block with two[[]], that can link to a new page, you can use it to write new notes
            print("\t"+"- [["+str(data[i])+"]]")
            # create a third-level block under above second-level block, without any [[]], that can be used to in query table
            print("\t\t"+"- "+str(data[i]))
            # incorporate a source-file property in every third-level block that can be query afterward
            print("\t\t"+"source_file:: "+str(sys.argv[1]))
        else:
        # write properties of the third-level block
            print("\t\t"+str(index)+":: "+str(data[i]))

# a basic query that will create a table that looks like the format in csv or a notion table database
# you can change the table name Publication list to any name you want!!!
print("- query-table:: true"+"\n"+
"  #+BEGIN_QUERY"+"\n"+
"  {:title [:h2 "+"\""+str(table_name)+"\"]"+"\n"+
"   :query [:find (pull ?b [*])"+"\n"+
"           :where"+"\n"+
"           [?b :block/properties ?p]"+"\n"+
"           [(get ?p :source-file) ?t]"+"\n"+
"           [(= \""+str(sys.argv[1])+"\" ?t)]]}"+"\n"+
"  #+END_QUERY")

output_file.close()
    

[BongeZagh]

solved