Use bokeh On Nov 9, 2017 1:44 PM, "Derek" <[email protected]> wrote:
> Hi > > Its unlikely anyone on this list will write your code - but the good news > is that are lots of helpful tutorials from which you can learn to do this; > for example: > > * https://docs.djangoproject.com/en/1.11/intro/tutorial04/ > * https://tutorial.djangogirls.org/en/django_forms/ > * https://www.simplifiedpython.net/django-forms-tutorial-working-forms/ > > Its likely though, that you might need to work through some of the other > material so you can understand how and where forms fit into the overall > Django approach. > > Hope this helps > Derek > > > On Friday, 3 November 2017 18:08:58 UTC+2, Rizal M. wrote: >> >> I have custom python script for twitter sentiment analysis, let's call it >> sentiment.py >> it has two inputs, topic query and number of tweets. >> >> this is the full code >> >> import sys >> import csv >> import tweepy >> import matplotlib.pyplot as plt >> >> from collections import Counter >> from aylienapiclient import textapi >> >> if sys.version_info[0] < 3: >> input = raw_input() >> >> ## Twitter credentials >> consumer_key = "xxx" >> consumer_secret = "xxx" >> access_token = "xxx" >> access_token_secret = "xxx" >> >> ## AYLIEN credentials >> application_id = "xxx" >> application_key = "xxx" >> >> ## set up an instance of Tweepy >> auth = tweepy.OAuthHandler(consumer_key, consumer_secret) >> auth.set_access_token(access_token, access_token_secret) >> api = tweepy.API(auth) >> >> ## set up an instance of the AYLIEN Text API >> client = textapi.Client(application_id, application_key) >> >> ## search Twitter for something that interests you >> query = input("topic? \n") >> number = input("number of tweets? \n") >> >> results = api.search( >> lang="en", >> q=query + " -rt", >> count=number, >> result_type="recent" >> ) >> >> print("--- Gathered Tweets \n") >> >> ## open a csv file to store the Tweets and their sentiment >> file_name = 'Sentiment_Analysis_of_{}_Tweets_About_{}.csv'.format(number, >> query) >> >> with open(file_name, 'w', newline='') as csvfile: >> csv_writer = csv.DictWriter( >> f=csvfile, >> fieldnames=["Tweet", "Sentiment"] >> ) >> csv_writer.writeheader() >> >> print("--- Opened a CSV file to store the results of your sentiment >> analysis... \n") >> >> ## tidy up the Tweets and send each to the AYLIEN Text API >> for c, result in enumerate(results, start=1): >> tweet = result.text >> tidy_tweet = tweet.strip().encode('ascii', 'ignore') >> >> if len(tweet) == 0: >> print('Empty Tweet') >> continue >> >> response = client.Sentiment({'text': tidy_tweet}) >> csv_writer.writerow({ >> 'Tweet': response['text'], >> 'Sentiment': response['polarity'] >> }) >> >> print("Analyzed Tweet {}".format(c)) >> >> ## count the data in the Sentiment column of the CSV file >> with open(file_name, 'r') as data: >> counter = Counter() >> for row in csv.DictReader(data): >> counter[row['Sentiment']] += 1 >> >> positive = counter['positive'] >> negative = counter['negative'] >> neutral = counter['neutral'] >> >> ## declare the variables for the pie chart, using the Counter variables for >> "sizes" >> colors = ['limegreen', 'dodgerblue', 'darkorchid'] >> sizes = [positive, negative, neutral] >> labels = 'Positif', 'Negatif', 'Netral' >> explode = (0.1, 0, 0) >> >> ## use matplotlib to plot the chart >> plt.pie( >> x=sizes, >> shadow=False, >> colors=colors, >> labels=labels, >> startangle=90, >> explode=explode, >> autopct='%1.0f%%' >> ) >> plt.axis('equal') >> plt.title("Sentiment of {} Tweets about {}".format(number, query)) >> plt.show() >> >> >> how to execute that file in html web page. >> let's say in the web page, there are two input texts, topic and number, >> and when I press the submit button, it executes the python script. >> >> I'm new to this Django so please explain it with detail, >> > -- > You received this message because you are subscribed to the Google Groups > "Django users" group. > To unsubscribe from this group and stop receiving emails from it, send an > email to [email protected]. > To post to this group, send email to [email protected]. > Visit this group at https://groups.google.com/group/django-users. > To view this discussion on the web visit https://groups.google.com/d/ > msgid/django-users/bb4e6be3-5e89-4c9a-bdb2-80fe24bb2a22%40googlegroups.com > <https://groups.google.com/d/msgid/django-users/bb4e6be3-5e89-4c9a-bdb2-80fe24bb2a22%40googlegroups.com?utm_medium=email&utm_source=footer> > . > For more options, visit https://groups.google.com/d/optout. > -- You received this message because you are subscribed to the Google Groups "Django users" group. 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