import numpy as np

from PIL import Image

from os import path

import matplotlib.pyplot as plt

import random

from tweepy import OAuthHandler

from tweepy import API

from tweepy import Cursor

from datetime import datetime

import pandas as pd

from pandas import ExcelWriter

from pandas import ExcelFile

import time

import json

import os

from pytagcloud.lang.counter import get_tag_counts

import webbrowser

from wordcloud import WordCloud

from pytagcloud import create_tag_image, create_html_data, make_tags, LAYOUT_HORIZONTAL, LAYOUTS, LAYOUT_MIX, LAYOUT_VERTICAL, LAYOUT_MOST_HORIZONTAL, LAYOUT_MOST_VERTICAL

writer = ExcelWriter('c:\\temp\\heyo.xlsx')

d = path.dirname(__file__)

consumer_key = ''

def grey_color_func(word, font_size, position, orientation, random_state=None, **kwargs):

return "hsl(0, 0%%, %d%%)" % random.randint(60, 100)

auth = OAuthHandler(consumer_key, consumer_secret)

auth.set_access_token(access_token, access_token_secret)

api = API(auth, wait_on_rate_limit=True)

data = api.user_timeline(screen_name ,count=5000)

tweet_data = []

current_working_dir = "./"

log_tweets = current_working_dir + str(time.time()) + 'tweets.txt'

with open(log_tweets, 'w') as outfile:

for tweet in data:

tweet_data.append(json.loads(json.dumps(tweet._json)))

outfile.write(json.dumps(tweet._json))

outfile.write("\n")

tweets = pd.DataFrame()

tweets['text'] = map(lambda tweet: tweet['text'], tweet_data)

tweets.to_excel(writer,'Sheet1',index=True)

writer.save()

text=(str(tweets.text))

alice_mask = np.array(Image.open(path.join(d, "twitter_mask.png")))

wc = WordCloud(background_color="black", max_words=5000, mask=alice_mask)

wc.generate(text)

wc.to_file(path.join(d, "alice.png"))

plt.imshow(wc)

plt.axis("off")

plt.figure()

plt.imshow(alice_mask, cmap=plt.cm.gray)

plt.axis("off")

plt.show()