python - Call two pandas columns in a function? -


i have bunch of urls trying write files. store urls in pandas dataframe.

the dataframe has 2 columns: url , id. trying request each url url , write file named id.

here got far: 

def get_link(url):      file_name = os.path.join('/mypath/foo/bar', df.id)     try:          r = requests.get(url)     except exception e:         print("failded " + url)     else:         open(file_name, 'w') f:              f.write(r.text)  df.url.apply(lambda l: get_link(l))

but when call function, obvioulsly fails, since os.path.join expects string , not series. hence error join() argument must str or bytes, not 'series'

any ideas how can simultaenously call df.id , df.url?

thank you/r

you can enhance function take id_ parameter in addition url.

def get_link(url, id_):      file_name = os.path.join('/mypath/foo/bar', id_)     try:          r = requests.get(url)     except connectionerror, missingschema e:         print("failded " + url)     else:         open(file_name, 'w') f:              f.write(r.text)

then iterate through dataframe call function. 

for idx, row in df.iterrows():     get_link(url=row.url, id_=row.id)

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