Recently, I was crawling through a volunteer service project , The web page is a volunteer service network , Lazy when climbing , Only saved into a big dictionary , Put it in pickle in .
More useless code . I took a screenshot of .
Get one df, This df It is in the form of a dictionary .
df = pd.read_pickle(os.path.join(data_dir, org_data_list[1299]))
among PTU It's a list , There's a dictionary in it .
ptu = df['PTU'] ptu len(ptu)
ptu Every element in it , Yes volun_name , I want to make a big dictionary , Yes name Count , And save it as pickle. That's exactly what it is .：
def get_org_s_parter(ptu):
dct_temp = {}
for p in ptu:
print(p['volun_name'])
for nm in p['volun_name']:
if dct_temp.get(nm) is None:
dct_temp[nm] = 1
else:
dct_temp[nm] += 1
return dct_temp
aaa = get_org_s_parter(ptu)
aaa
Got aaa That's what I want .
The following is the dictionary , Stored as a file name pickle 了 .
