Problems importing strings to form a path from a .csv file - python-2.7

Question

I am referring to this question I posted days ago, I haven't' get any replies yet and I suspect that the situation was not properly described, I made a simpler set up that would be easier to understand, and hopefully. get more attention from the experienced programmers!
I forgot to mention, I am running Python 2 on Jupyter
import pandas as pd
from pandas import Series, DataFrame
g_input_df = pd.read_csv('SetsLoc.csv')
URL=g_input_df.iloc[0,0]
c_input_df = pd.read_csv(URL)
c_input_df = c_input_df.set_index("Parameter")
root_path = c_input_df.loc["root_1"]
input_rel_path = c_input_df.loc["root_2"]
input_file_name = c_input_df.loc["file_name"]
This section reads from a .csv a list of paths, just one at a time, each one of them directing to another .csv file that contains the input for a simulation to be set-up using python.
The results from the above code can be tested here:
c_input_df
Value Parameter
root_1 C:/SimpleTest/
root_2 Input/
file_name Prop_1.csv
URL
'C:/SimpleTest/Sets/Set_1.csv'
root_path+input_rel_path+input_file_name
Value C:/SimpleTest/Input/Prop_1.csv
dtype: object
Property_1 = pd.read_csv('C:/SimpleTest/Input/Prop_1.csv')
Property_1
height weight
0 100 50
1 110 44
2 98 42
...on the other hand, if I try to use varibales to describe the file's path and name I get an error:
Property_1 = pd.read_csv(root_path+input_rel_path+input_file_name)
Property_1
I get the following error:
ValueErrorTraceback (most recent call last)
<ipython-input-3-1d5306b6bdb5> in <module>()
----> 1 Property_1 = pd.read_csv(root_path+input_rel_path+input_file_name)
2 Property_1
C:\ProgramData\Anaconda2\lib\site-packages\pandas\io\parsers.pyc 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
C:\ProgramData\Anaconda2\lib\site-packages\pandas\io\parsers.pyc 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
C:\ProgramData\Anaconda2\lib\site-packages\pandas\io\common.pyc 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 'pandas.core.series.Series'>}
I beleive that the problem resides in the way the parameters that make up the path and filenemae are read from the dataframe, is there any way to specify that those parameters are paths, or something similar that will avoid this problem?
Any help is highly appreciated!

Answer 1

I posted the solution in the other question related to this post, in case someone wants to get a look:
Problems opening a path in Python