Last active
November 24, 2019 02:52
-
-
Save DFoly/a83a81bb413ef0e89015f2448fe54f4c 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
import mysql.connector | |
from mysql.connector import Error | |
import os | |
import re | |
import pandas as pd | |
from nltk.tokenize import word_tokenize | |
from nltk.corpus import stopwords | |
from nltk.stem.porter import PorterStemmer | |
from nltk.stem import WordNetLemmatizer | |
import nltk | |
from wordcloud import WordCloud, STOPWORDS | |
import numpy as np | |
import matplotlib.pyplot as plt | |
from textblob import TextBlob | |
class TweetObject(): | |
def __init__(self, host, database, user): | |
self.password = os.environ['PASSWORD'] | |
self.host = host | |
self.database = database | |
self.user = user | |
def MySQLConnect(self,query): | |
""" | |
Connects to database and extracts | |
raw tweets and any other columns we | |
need | |
Parameters: | |
---------------- | |
arg1: string: SQL query | |
Returns: pandas dataframr | |
---------------- | |
""" | |
try: | |
con = mysql.connector.connect(host = self.host, database = self.database, \ | |
user = self.user, password = self.password, charset = 'utf8') | |
if con.is_connected(): | |
print("Successfully connected to database") | |
cursor = con.cursor() | |
query = query | |
cursor.execute(query) | |
data = cursor.fetchall() | |
# store in dataframe | |
df = pd.DataFrame(data,columns = ['date', 'tweet']) | |
#print(df.head()) | |
except Error as e: | |
print(e) | |
cursor.close() | |
con.close() | |
return df |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment