Last active
June 8, 2020 09:38
-
-
Save aniruddha27/8b02558f244afed3aa75496c26314383 to your computer and use it in GitHub Desktop.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
# create a df containing sentence and its output for rule 3 | |
row_list = [] | |
# df2 contains all the sentences from all the speeches | |
for i in range(len(df2)): | |
sent = df2.loc[i,'Sent'] | |
year = df2.loc[i,'Year'] | |
output = rule3(sent) | |
dict1 = {'Year':year,'Sent':sent,'Output':output} | |
row_list.append(dict1) | |
df_rule3_all = pd.DataFrame(row_list) | |
# check rule3 output on complete speeches | |
output_per(df_rule3_all,'Output') |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment