[python] TypeError: sequence item 0: expected string, int found

I am attempting to insert data from a dictionary into a database. I want to iterate over the values and format them accordingly, depending on the data type. Here is a snippet of the code I am using:

def _db_inserts(dbinfo):
    try:
        rows = dbinfo['datarows']

        for row in rows:
            field_names = ",".join(["'{0}'".format(x) for x in row.keys()])
            value_list = row.values()

            for pos, value in enumerate(value_list):
                if isinstance(value, str):
                    value_list[pos] = "'{0}'".format(value)
                elif isinstance(value, datetime):
                    value_list[pos] = "'{0}'".format(value.strftime('%Y-%m-%d'))

            values = ",".join(value_list)

            sql = "INSERT INTO table_foobar ({0}) VALUES ({1})".format(field_names, values)

    except Exception as e:
        print 'BARFED with msg:',e

When I run the algo using some sample data (see below), I get the error:

TypeError: sequence item 0: expected string, int found

An example of a value_list data which gives the above error is:

value_list = [377, -99999, -99999, 'f', -99999, -99999, -99999, 1108.0999999999999, 0, 'f', -99999, 0, 'f', -99999, 'f', -99999, 1108.0999999999999, -99999, 'f', -99999, 'f', -99999, 'f', 'f', 0, 1108.0999999999999, -99999, -99999, 'f', 'f', 'f', -99999, 'f', '1984-04-02', -99999, 'f', -99999, 'f', 1108.0999999999999] 

What am I doing wrong?

This question is related to python

The answer is


string.join connects elements inside list of strings, not ints.

Use this generator expression instead :

values = ','.join(str(v) for v in value_list)

Although the given list comprehension / generator expression answers are ok, I find this easier to read and understand:

values = ','.join(map(str, value_list))

Replace

values = ",".join(value_list)

with

values = ','.join([str(i) for i in value_list])

OR

values = ','.join(str(value_list)[1:-1])

you can convert the integer dataframe into string first and then do the operation e.g.

df3['nID']=df3['nID'].astype(str)
grp = df3.groupby('userID')['nID'].aggregate(lambda x: '->'.join(tuple(x)))

String interpolation is a nice way to pass in a formatted string.

values = ', '.join('$%s' % v for v in value_list)


The answers by cval and Priyank Patel work great. However, be aware that some values could be unicode strings and therefore may cause the str to throw a UnicodeEncodeError error. In that case, replace the function str by the function unicode.

For example, assume the string Libiƫ (Dutch for Libya), represented in Python as the unicode string u'Libi\xeb':

print str(u'Libi\xeb')

throws the following error:

Traceback (most recent call last):
  File "/Users/tomasz/Python/MA-CIW-Scriptie/RecreateTweets.py", line 21, in <module>
    print str(u'Libi\xeb')
UnicodeEncodeError: 'ascii' codec can't encode character u'\xeb' in position 4: ordinal not in range(128)

The following line, however, will not throw an error:

print unicode(u'Libi\xeb') # prints Libiƫ

So, replace:

values = ','.join([str(i) for i in value_list])

by

values = ','.join([unicode(i) for i in value_list])

to be safe.