Hi,
As the title suggests I'm trying to download a report from the Adwords API
using Python and put the data into a Pandas DataFrame, but I am having no
luck. I'm still new to Python so my error may be a lack of basic
understanding. I've tried multiple ways of solving this problem, but below
is my python script to get the output into a Pandas DataFrame.
from googleads import adwordsimport pandas as pdimport numpy as np
# Initialize appropriate service.
adwords_client = adwords.AdWordsClient.LoadFromStorage()
report_downloader = adwords_client.GetReportDownloader(version='v201710')
# Create report query.
report_query = ('''
select Date, Clicks
from ACCOUNT_PERFORMANCE_REPORT
during LAST_7_DAYS''')
df = pd.read_csv(report_downloader.DownloadReportWithAwql(
report_query,
'CSV',
client_customer_id='xxx-xxx-xxxx', # denotes which adw account to pull from
skip_report_header=True,
skip_column_header=False,
skip_report_summary=True,
include_zero_impressions=True))
And this is the error that I am getting.
Day,Clicks2017-11-05,420612017-11-07,457922017-11-03,368742017-11-02,397902017-11-06,449342017-11-08,456312017-11-04,36031---------------------------------------------------------------------------ValueError
Traceback (most recent call
last)<ipython-input-5-cc25e32c9f3a> in <module>()
25 skip_column_header=False,
26 skip_report_summary=True,---> 27 include_zero_impressions=True))
/anaconda/lib/python3.6/site-packages/pandas/io/parsers.py in
parser_f(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols,
squeeze, prefix, mangle_dupe_cols, dtype, engine, converters, true_values,
false_values, skipinitialspace, skiprows, nrows, na_values, keep_default_na,
na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format,
keep_date_col, date_parser, dayfirst, iterator, chunksize, compression,
thousands, decimal, lineterminator, quotechar, quoting, escapechar, comment,
encoding, dialect, tupleize_cols, error_bad_lines, warn_bad_lines, skipfooter,
skip_footer, doublequote, delim_whitespace, as_recarray, compact_ints,
use_unsigned, low_memory, buffer_lines, memory_map, float_precision)
653 skip_blank_lines=skip_blank_lines)
654 --> 655 return _read(filepath_or_buffer, kwds)
656
657 parser_f.__name__ = name
/anaconda/lib/python3.6/site-packages/pandas/io/parsers.py in
_read(filepath_or_buffer, kwds)
390 compression = _infer_compression(filepath_or_buffer, compression)
391 filepath_or_buffer, _, compression = get_filepath_or_buffer(--> 392
filepath_or_buffer, encoding, compression)
393 kwds['compression'] = compression
394
/anaconda/lib/python3.6/site-packages/pandas/io/common.py in
get_filepath_or_buffer(filepath_or_buffer, encoding, compression)
208 if not is_file_like(filepath_or_buffer):
209 msg = "Invalid file path or buffer object type: {_type}"--> 210
raise ValueError(msg.format(_type=type(filepath_or_buffer)))
211
212 return filepath_or_buffer, None, compression
ValueError: Invalid file path or buffer object type: <class 'NoneType'>
Any help would be greatly appreciated
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