Reputation: 321
At the moment, I'm wondering why is Pandas not able to convert the dataframe to a csv file as it returns AttributeError: 'str' object has no attribute 'to_csv'
I've been trying trends.to_string(index=False).to_csv('test.csv'))
etc and a few other examples others have given, but it returns the same thing over and over.
def main(url):
google = GoogleAnalysis(url)
codes = country_codes()
return pd.concat([
google.trends(country_code)
for country_code in codes[:len(codes) // 2]
])
def trends(self,country_code):
df = pd.DataFrame(
self._retrieve_trends(country_code),
columns=['Title', 'Search_Score'],
)
df['Country Code'] = country_code
df['Platform'] = 'Google'
return df
if __name__ == '__main__':
trends = main('https://trends.google.com/trends/trendingsearches/daily/rss')
trends.to_csv('k.csv').to_string(index=False)
Output of DataFrame
Title Search_Score Country Code Platform
アジアカップ 2019 20000 JP Google
康華 2000 HK Google
스피릿위시 2000 KR Google
Michelle Obama 50000 US Google
Updated ( Include
main
)
Upvotes: 3
Views: 7292
Reputation: 11
import os
import glob
import pandas as pd
import numpy as np
import openpyxl as xls
path = r"D:\\"
with open("file.csv", "w") as file:
for root, dirname, files in os.walk(path):
for x in files:
file.write(root + "\\" + x + '\n')
print(root + "\\" + x + '\n')
file.close()
Upvotes: 1
Reputation: 71570
You probably want, the below code, you have to enter the argument of trends
method:
def trends(self,country_code):
df = pd.DataFrame(
self._retrieve_trends(country_code),
columns=['Title', 'Search_Score'],
)
df['Country Code'] = country_code
df['Platform'] = 'Google'
return df
if __name__ == '__main__':
trends = main(
'https://trends.google.com/trends/trendingsearches/daily/rss')
trends.to_csv('k.csv')
Upvotes: 2