Open OrsoArmeno opened 4 years ago
Hi Hulya, i have the same question. Can you explain why we can't concatenate dict here?
hi @hichnicksemen . i have found a workaround since when I wrote my issue:
import pytrends
from pytrends.request import TrendReq
import pandas as pd
import time
import datetime
from datetime import datetime, date, time
pytrend = TrendReq()
searches = ['kw1', 'kw2', 'kw2', 'kw3']
groupkeywords = list(zip(*[iter(searches)]*1))
groupkeywords = [list(x) for x in groupkeywords]
dicti = {}
i = 1
for trending in groupkeywords:
pytrend.build_payload(trending, geo = 'US', timeframe = 'today 3-m', cat = 1)
dicti[i] = pytrend.interest_over_time()
i+=1
result = pd.concat(dicti, axis=1)
result.columns = result.columns.droplevel(0)
result = result.drop('isPartial', axis = 1)
result.reset_index(level=0, inplace=True)
pd.melt(result, id_vars='date', value_vars=searches)
print(result)
I hope it works
@OrsoArmeno Thanks, i'll try!
Hello,
I am following religiously your tutorial, that is GREAT.
I ended up in having an issue though.
When I try to concatenate the results of my multiple searches
result = pd.concat(dicti, axis=1) result.columns = result.columns.droplevel(0) result = result.drop('isPartial', axis = 1)
I receive this error
TypeError: cannot concatenate object of type '<class 'dict'>'; only Series and DataFrame objs are valid
I have understood that Python doesn't allow me to concatenate the results of my searches, but I have no idea how to overcome this issue. Can you maybe help me?
(this is my first request on GitHub, so I apologize in advance if lacks the "etiquette" of this place)