from lw import get_logger, get_header, get_root_logger
import argparse
from src import InsultExtractor
def main(path):
insults = InsultExtractor()
insults.extract()
insults.export_to_csv(path)
if __name__ == '__main__':
root_logger = get_root_logger()
get_header(root_logger,
"Extracting all of Trump's insults. This may take a while...")
parser = argparse.ArgumentParser()
parser.add_argument(
'--path',
required=True,
help='where would you like to extract_insult_tweets to?')
args = parser.parse_args()
main(args.path)
insult_tweets = pd.merge(
self.insults,
self.insult_tweets,
left_on='tweet_id',
right_on='id',
how='inner'
).loc[:, ['name', 'text_x', 'id_x', 'trump', 'campaign', 'created_at'
]].drop_duplicates()
# index by time
insult_tweets['created_at'] = pd.to_datetime(
insult_tweets['created_at'])
insult_tweets.set_index('created_at', inplace=True)
# resample to daily + take rolling 7-day avg
insult_tweets = insult_tweets.resample('D').sum()
insult_tweets_avg = insult_tweets.rolling(window=7,
min_periods=1).mean()
print('break')
if __name__ == '__main__':
logger = get_root_logger()
logger = get_header(logger, 'Running Tweet Analysis')
ta = TweetAnalysis()
ta.load_data()
ta.transform()
from lw import get_logger, get_header, get_root_logger
import argparse
from src import InsultExtractor
def main(path):
insults = InsultExtractor()
insults.extract()
insults.export_to_csv(path)
if __name__ == '__main__':
root_logger = get_root_logger()
get_header(root_logger, "Extracting all of Trump's insults. This may take a while...")
parser = argparse.ArgumentParser()
parser.add_argument('--path', required=True, help='where would you like to extract_insult_tweets to?')
args = parser.parse_args()
main(args.path)
self.insult_tweets,
left_on='tweet_id',
right_on='id',
how='inner'
).loc[:, ['name', 'text_x', 'id_x', 'trump', 'campaign', 'created_at']].drop_duplicates()
# index by time
insult_tweets['created_at'] = pd.to_datetime(insult_tweets['created_at'])
insult_tweets.set_index('created_at', inplace=True)
# resample to daily + take rolling 7-day avg
insult_tweets = insult_tweets.resample('D').sum()
insult_tweets_avg = insult_tweets.rolling(window=7, min_periods=1).mean()
print('break')
if __name__ == '__main__':
logger = get_root_logger()
logger = get_header(logger, 'Running Tweet Analysis')
ta = TweetAnalysis()
ta.load_data()
ta.transform()
from lw import get_logger, get_header, get_root_logger
import argparse
from src import TweetExtractor
def main(path):
twex = TweetExtractor()
twex.extract_insult_tweets()
twex.extract_all_tweets()
twex.export_to_csv(path)
if __name__ == "__main__":
root_logger = get_root_logger()
get_header(root_logger, "Extracting all of Trump's insulting Tweets. Lucky Me...")
parser = argparse.ArgumentParser()
parser.add_argument("--path", required=True, help="where would you like to extract_insult_tweets to?")
args = parser.parse_args()
main(args.path)
from lw import get_logger, get_header, get_root_logger
import argparse
from src import TweetExtractor
def main(path):
twex = TweetExtractor()
twex.extract_insult_tweets()
twex.extract_all_tweets()
twex.export_to_csv(path)
if __name__ == '__main__':
root_logger = get_root_logger()
get_header(root_logger,
"Extracting all of Trump's insulting Tweets. Lucky Me...")
parser = argparse.ArgumentParser()
parser.add_argument(
'--path',
required=True,
help='where would you like to extract_insult_tweets to?')
args = parser.parse_args()
main(args.path)
