Tweepy Filter

The new map object is a filtered iterable of all elements that returned True. Twitter for Python! Contribute to tweepy/tweepy development by creating an account on GitHub. Revision 920f5c49. from tweepy import Stream. [Python] Running into rate-limit errors using Twitter streaming api (Tweepy) (self. You can track data adressed to your account by using userstream() instead of filter. Installing Tweepy. Sentiment Analysis is a special case of text classification where users' opinions or sentiments regarding a product are classified into predefined categories such as positive, negative, neutral etc. Stream() the authentication handler auth and the Stream listener l; To filter Twitter Streams, pass to the track argument in stream. You can scrape Twitter website or use a simpler technique, which involves connecting to Twitter API using Python. A number of twitter streams are available through Tweepy. In particular, Tweepy in one of the most interesting and straightforward to use, so let’s install it: pip install tweepy==3. Use these date filters to narrow down your results. © Copyright 2009, Joshua Roesslein. This causing me a Name Error--. I was working with the Tweepy library for python to access the public twitter stream and ran into a problem where one the stream is running, it doesn't stop. The following are code examples for showing how to use tweepy. The on_status() of FavRetweetListener processes tweets from the stream. Create your Stream object with authentication by passing to tweepy. Twitterbots can prove to be useful through providing interesting information or updates, and they can also be fun or humorous. bz2: 1 year and 3 months ago conda-forge 12965: main cf201901. Big data is everywhere. You can actually try this one out right now. Using Tweepy to scrape tweets from twitter using API : complete Twitter developers account ( skip to the end for scrapper and logger ) To begin with you will be needing a twitter developers account, dont worry the account is free and easily available for personal uses and research purposes. @mathemaphysics That is not related to this issue, but I'm unable to reproduce this using Stream. Learn how to use Apache Hive to process Twitter data. auth = tweepy. Below you ignore all retweets by adding -filter:retweets to your query. Tweepy is a Python library for accessing the Twitter API. The Twitter API and Python - Syntactic Sugar for Tweepy in separate methods and we just call the appropriate Tweepy function: use in combination with a filter. bio_contains: Performs a substring match on the user’s account-level bio, which is comprised of user-generated text and may not include location information. stream = tweepy. 0 of Tweepy has introduced a problem with Python 3, currently fixed on github but not yet available with pip, for this reason we're using version 3. With data an increasingly valuable commodity, businesses need tools to help them manage the mountains of data they’re collecting. You can include the tweepy api in any website or application that you are making. You can also see who are the influencers tweeting about a specific hashtag as well. There is no way to filter from the web UI all retweets. The following are code examples for showing how to use tweepy. Few options are available for Tweepy:. display import display, HTML from tweepy import OAuthHandler, Stream, StreamListener, API as TwApi from util. Filter out the tweets that aren't relevant. Tweepy is an open source Python library that enables Twitter APIs to be used in the Python programming language. Stream, being another important object in tweepy also has many methods, in this case filter() is used with parameters passed. screen_name sent a reply tweet. morphological synonyms, morphological pronunciation, morphological translation, English dictionary definition of morphological. The default value is none, which includes all available Tweets. These approaches were named:. I wanted to do some research with public tweets using tweepy. python,geolocation,tweepy. Indices and tables¶. @mathemaphysics That is not related to this issue, but I'm unable to reproduce this using Stream. The following additional operators filter on fields which, while not explicitly location fields, do sometimes contain account-based location information. 取得済みツイートからrtのものを除外する. In this tutorial, you will learn how to use Twitter API and Python Tweepy library to search for a word or phrase and extract tweets that include it and print the results. OAuthHandler taken from open source projects. It also has the listening feature for the Streaming API, which opens a connection that receives tweet objects from any specific subject. A number of twitter streams are available through Tweepy. Index; Search Page; Next. I found a way using purely Python to get the coordinates for tweets using a word filter. You can actually try this one out right now. Building a graph of flights from airport codes in tweets Sep 10, 2017. You can include the tweepy api in any website or application that you are making. But it seems. One common way to analyze Twitter data is to identify the co-occurrence and networks of words in Tweets. What you will need to do is go to each profile you follow, then: Click the gear icon; Select Turn off Retweets; Do this for every user you follow that you do not want to see what they retweet. Reading in Data. I'd import 'tweepy' package for accessing twitter data for analysis and visualization in Python. Twitter Streaming API with Tweepy. Im using Anaconda Jupiter notebook for Python3 and tweepy 3. It is an intermediate operation and can be used with reduce(), collect(), map() etc. How does the bounding box filter work?. Twitter is a gold mine of data. EDIT: I'm going to add my solution here in case it's helpful to others or someone can tell me a better method. The latest version is upgraded to support the OAuth 1. Additionally you will need a twitter account and an app with keys. People call this visualization of the filters. py below) to start my flask app as a separate process with daemon=True. Point being: You’re not going to get much work without social media apps. com is your blog for all digital aspects of geosciences. This essentially means that the stream will be collecting tweets that mention either 'canada' or 'usa'. These posts are known as "tweets". Twython is a very robust, mature library for Twitter. For example, if an inbound HTTP POST comes in to API Gateway or a new file is uploaded to AWS S3 then AWS Lambda can execute a function to respond to that API call. They are extracted from open source Python projects. The first step in any data processing is getting the data! Here is how to parse in and prepare common input formats using D3. The first one covers the simplest way to get streaming data from Twitter. First of all we will fetch tweets using Python and the tweepy library. Stream() the authentication handler auth and the Stream listener l; To filter Twitter streams, pass to the track argument in stream. With Tweepy, we can do analysis of Twitter data in Python. tweepy documentation: Getting started with tweepy. tweepy_stream = tweepy. Tweepy uses a "listener" to not only grab the streaming tweets, but filter them as well. filter() method. Install tweepy, this will help you to fetch tweets. Try filtering all users with the 'Verified?' column to discover which celebrities are following you. Analyze Twitter data using Apache Hive and Apache Hadoop on HDInsight. Fun with Markov Chains, Python, and Twilio SMS. Tweepy+PythonによるTwitterのStream REST API と Streaming API があります。 REST APIは取得回数に制限があり、リアルタイムに更新するような動作はできません。. screen_name. You can also see who are the influencers tweeting about a specific hashtag as well. So if 26 weeks out of the last 52 had non-zero commits and the rest had zero commits, the score would be 50%. This parameter may be used on all streaming endpoints, unless explicitly noted. 4 / Python 3, so if you prefer to stay on Python 3 you can also downgrade to Tweepy 3. Streaming filter API: to parese real-time tweets. So you want to do a twitter location search. The language filter works only if track filter is provided. Among the many libraries available for using Twitter API, Tweepy, implemented in python, is usually the first choice of most programmers, 'cause it's really efficient and easy to use. The three tweepy class imports will be used to construct the stream listener, the time library will be used create a time-out feature for the script, and the os library will be used to set your working directory. Stream, being another important object in tweepy also has many methods, in this case filter() is used with parameters passed. Thu, Nov 16, 2017, 6:00 PM: Main PresentationDiscussion of sentiment analysis and its use. py #!/usr/bin/env python #-*- coding:utf-8-*-from tweepy. pip install tweepy. Twitter Data Extraction using Python. In this step, we'll use pip to install Tweepy. Twitter allows a maximum of 3200 tweets for extraction. By voting up you can indicate which examples are most useful and appropriate. You'll have to filter out other Tweets yourself. Tweepy is a Python library for accessing the Twitter API. Index; Search Page; Next. I still need that first, and it's a once-in-a-lifetime thing, so you'll have to do it only once. For more details check the Tweepy documentation here. In our example, we will collect data on any tweet mentioning #rstats or #python in the tweet text, username, or user description with the filter endpoint. More advance solutions could create a new folder and move the files there, as well as filter them by their specific type (image, video, audio,…). Scrape Tweets from Twitter using Python and Tweepy February 24, 2017 November 15, 2017 Kevin Jacobs Do-It-Yourself , Data Science , Software Science This tutorial guides you in setting up a system for collecting Tweets. A good amount of the work that I do involves using social media content for analyzing networks, sentiment, influencers and other various types of analysis. from tweepy import Stream. filter(track=["Modi"]) RAW Paste Data. Programming and photography blog. The Twitter API and Python - Syntactic Sugar for Tweepy in separate methods and we just call the appropriate Tweepy function: use in combination with a filter. hi im trying to send heart emoji or any emojis but it gives me like this unknown question mark symbols like this "????" api. process, filter, map reduce. まずはtweepyをpipでインストール。pip install tweepy. tweepy is a member of Vimeo. I ended up setting my tweepy stream. The script creates a twitter stream listener using Tweepy then stores the data in a MySQL database. This is a simple implementation of the TextBlob module using the Twitter API via Tweepy. They are extracted from open source Python projects. You can also save this page to your account. It is important to exercise care. Create your Stream object with authentication by passing to tweepy. The SListener module has already been defined and imported for you. Aaron Re: Having trouble with follow in Stream. twitterStream. Type: All All; conda win-64/tweepy-3. 更にいえば, 絞り込むを行うためのfilterを使用することになります. This code is separately written for convenience and explanation purposes. filter(track=['tweepy']) You can track different keywords by changing the track parameter. Instead you write a location filter which is the whole world. It is possible to retrieve up to a maximum of 3200 of a user’s most recent Tweets through Twitter API. This is a script which monitor's Twitter for tweets containing certain hashtags, words, or phrases. tweepy (to gather Tweets) aylien-apiclient (to analyze the sentiment of the Tweets) matplotlib (to visualize the results) Get API keys for Twitter: Getting the API keys from Twitter Developer (which you can do here) is the most time consuming part of this process, but this video can help you if you get lost. Mining Twitter Data using Python: Getting Started Data Mining is a hot topic these days, and Twitter is being used heavily as a data source in various Data Mining applications. Timeline methods; Status methods; User methods; Direct Message Methods; Friendship Methods; Account Methods; Favorite Methods; Block Methods; Mute. For more details, see Filtered stream. Date filters. I ended up setting my tweepy stream. I was working with the Tweepy library for python to access the public twitter stream and ran into a problem where one the stream is running, it doesn't stop. In this example we will use filter to stream all tweets containing the word python. auth = tweepy. Tweepyからいくつかのtwitterストリームが利用可能です。ほとんどの場合、filter、user_stream、またはsitestreamが使用されます。さまざまなストリームの機能と制限の詳細については、 Twitter Streaming API Documentation を参照してください。. Here are the examples of the python api tweepy. You can also save this page to your account. tweepy is a member of Vimeo. This article covers the sentiment analysis of any topic by parsing the tweets fetched from Twitter using Python. To be more specific, you can track multiple hashtags as well. Installing Tweepy. We can create a list of words that we want to filter the stream for. I can write custom code to filter the statuses of those users so I can work around the problem but this seems like it might be a bug. filter(locations=locs) 36 twitterStream. learnprogramming) submitted 3 years ago * by MurrayJ I've been working on a twitter program that handles stream data. Create your Stream object with authentication by passing to tweepy. Creepy is a geolocation OSINT Tool. Martha Morrissey, Leah Wasser, Jeremey search_term = "#climate+change -filter:retweets. If you are using the Anaconda platform run the following command. Additionally you will need a twitter account and an app with keys. Para usar Tweepy (es un módulo de Python para transmitir tweets de Twitter) haga una instalación de tweepy. Now you have to implement StreamListener to get the stream : class TwitterStreamListener(tweepy. twitter analysis with tweepy 1. A Twitter sentiment analysis tool. If you haven’t done so, we invite you to join Labs to provide feedback. Most cases will use filter, the user_stream, or the sitestream. filter(track=['#MySpecialHashtag', '#AlsoThisHashtag']) This will pick up only tweets that contain the hashtags you provide as part of the tweet text and save you from arbitrarily collecting tweets and checking if the hashtag field has your hashtag in it. まずはtweepyをpipでインストール。pip install tweepy. You can vote up the examples you like or vote down the ones you don't like. Contribute to tweepy/tweepy development by creating an account on GitHub. The Twitter API and Python - Syntactic Sugar for Tweepy in separate methods and we just call the appropriate Tweepy function: use in combination with a filter. We will store the tweets as well well as their sentiment within a created database via PyMySQL. I have been trying to devise the simplest script possible to show my students how to access Twitter's streaming api with tweepy, and I have come up with the followoing (note that we want to access the stream in Spanish):. Here you can find a more detailed answer to a similar question: How to add a location filter to tweepy module. auth import OAuthHandler from tweepy. Tweepy Documentation — tweepy 3. There are more changes than in a typical release, and more that are important for all Python users. Read more about the Twitter APIs, Tweepy documentation, or check out Tweepy on GitHub. These posts are known as "tweets". The pprint module provides a capability to “pretty-print” arbitrary Python data structures in a form which can be used as input to the interpreter. Setting this parameter to one of none, low, or medium will set the minimum value of the filter_level Tweet attribute required to be included in the stream. Index; Search Page; Next. It doesn't seem like many people include location with their tweets. Built with Maptimize. 【Python】tweepyでTwitter Streaming APIを使う方法です。 ソースコードは以下のとおりです。 View the code on Gist. In our example, we will collect data on any tweet mentioning #rstats or #python in the tweet text, username, or user description with the filter endpoint. Photo by Marten Bjork on Unsplash. Filter the stream for keywords. The criteria / filter was a table I have within my database. In this article, you’ll learn how to make your own Twitter Bot in Python with Tweepy, a package that provides a very convenient way to use the Twitter API. Most cases will use filter, the user_stream, or the sitestream. In this example we will use filter to stream all tweets containing the word python. I had to include the library code myself since it's not included on Python Anywhere which isn't a big deal. [Python] Running into rate-limit errors using Twitter streaming api (Tweepy) (self. API available for platform integration. You can test it by putting a unique filter word and then tweeting that word from your Twitter account. Timeline methods; Status methods; User methods; Direct Message Methods; Friendship Methods; Account Methods; Favorite Methods; Block Methods; Mute. This blog post will discuss various techniques to use Twitter's search REST API most effectively, given the constraints and limits of the said API. Learn how to use Apache Hive to process Twitter data. Unfortunately Tweepy is not listed in the ArcGIS Pro Python Package Manager. filter(track=['tweepy']) You can track different keywords by changing the track parameter. Now you have to implement StreamListener to get the stream : class TwitterStreamListener(tweepy. Check out Topsy (product). This page contains some basic documentation for the Tweepy module. Scraping Twitter Data With Tweepy. The API allows you track multiple filter terms, in this example track=['usa','canada']. Sentiment Analysis is a special case of text classification where users' opinions or sentiments regarding a product are classified into predefined categories such as positive, negative, neutral etc. I want to download tweets with special hashtags. It accesses the Twitter REST (including Search) and Stream APIs. You can use this command in your Terminal. Gentle Introduction to MongoDB using Pymongo Warning: This is a very old post so comments may not be valid anymore I use mongoDB along with Pymongo for personal projects only (I hope this changes in the near future though) and not very often to be honest. Assuming we have collected a list of tweets (see Part 1 of the tutorial), the first exploratory analysis that we can perform is a simple word count. Part of Twitter’s draw is the vast number of voices offering their opinions and thoughts on the latest events. With data an increasingly valuable commodity, businesses need tools to help them manage the mountains of data they’re collecting. Analyze Twitter data using Apache Hive and Apache Hadoop on HDInsight. Amazon Web Services (AWS) Lambda provides a usage-based compute service for running Python code in response to developer-defined events. This parameter may be used on all streaming endpoints, unless explicitly noted. Gathers geolocation related information from online sources, and allows for presentation on map, search filtering based on exact location and/or date, export in csv format or kml for further analysis in Google Maps. The pprint module provides a capability to “pretty-print” arbitrary Python data structures in a form which can be used as input to the interpreter. Here are the examples of the python api tweepy. list so that apt-get install knows what packages to look for. Creepy is a geolocation OSINT tool. In the post I will show you how to use Twitter Streaming API and of. StreamListener): """ A listener handles tweets are the received from the stream. # Tweepy # Copyright 2009-2010 Joshua Roesslein # See LICENSE for details. Assalamualaikum, Mm, selama ini udah penasaran banget gimana caranya ngambil data tweet dari twitter. You track Tweet by location, language, and text by passing the three arrays shown below into the stream. I'm using. The Stream object is created, which uses that listener as output. Learn how to implement and use recurrent neural network models based on the Reservoir Computing paradigm with Nils Schaetti, AI specialist in Geneva. In addition to writing scripts and tutorials, he draws and animates both the digital and the analog. Date filters. , streaming, tweepy, filter Maintainers mjbrooks Classifiers. You can't filter both things at once, you need to choose one and then check the other. Tweepy Listener. Tweepy is a Python wrapper for the Twitter API. 0 of Tweepy has introduced a problem with Python 3, currently fixed on github but not yet available with pip, for this reason we're using version 3. If the formatted structures include objects which are not fundamental Python types, the representation may not be loadable. To find out trending topics worldwide : [code] import tweepy consumerKey = "jkjk" consumerSecret = ";1234" accessToken = "abcd" accessTokenSecret = "xxyy" auth = tweepy. Setting this parameter to one of none, low, or medium will set the minimum value of the filter_level Tweet attribute required to be included in the stream. Basically what I wanted to do is save all the tweets to my local mysql database instance that met my certain criteria. Tweepy is a Python library for accessing the Twitter API. bio_contains: Performs a substring match on the user's account-level bio, which is comprised of user-generated text and may not include location information. In particular, Tweepy in one of the most interesting and straightforward to use, so let’s install it: pip install tweepy==3. Hook up Apache Spark Streaming to an incoming Twitter Stream. Streaming filter API: to parese real-time tweets. I make sure to filter the stream using the user id of my account, as I only want tweet info from my timeline, not the whole wider Twitter universe. With Tweepy, we can do analysis of Twitter data in Python. obj − This is the object to be counted in the list. set up tweeter account. I had to include the library code myself since it's not included on Python Anywhere which isn't a big deal. Web server processes are meant to fit into a requests/response model -- they get a request from a browser, they send a response to it, and that's expected to be a very fast cycle, maybe 100ms. Free and Useful Twitter Follow Sites: FriendorFollow. The second function we'll work with is the filter() function. Vas a necesitar una cuenta de Twitter APPS. Tweepy does not support multi. Tweepy supports both OAuth 1a (application-user) and OAuth 2 (application-only) authentication. over Tweepy. Scraping Twitter Data With Tweepy. We will be using a Python library called Tweepy to connect to Twitter Streaming API and downloading the data. reply (status, model=None, **kwargs) ¶ Compose a reply to the given tweepy. twitterStream. If you knew that why didnt you include any of that in what you've tried. Skip to content. Mining Twitter Data using Python: Getting Started Data Mining is a hot topic these days, and Twitter is being used heavily as a data source in various Data Mining applications. Write a Twitter Bot with Python Tweepy to Follow New Followers was posted by Jared on September 12th, 2014. Among the many libraries available for using Twitter API, Tweepy, implemented in python, is usually the first choice of most programmers, 'cause it's really efficient and easy to use. And the second thing we'll need is a tweepy package for Python. At least one predicate parameter, follow, locations, or track must be specified. In this tutorial we will be covering: Get tweets. 引数で色々指定できますが, "中野"を含むツイートを探すだけなので, 引数はtrackのみを指定します. Contribute to tweepy/tweepy development by creating an account on GitHub. from tweepy import Stream. I use tweepy for streaming some tweet. Hello, My overall goal is to text to my Pi and then retrieve its data from the temperature sensor. In this example we will use filter to stream all tweets containing the word python. filter(track=['tweepy']) Sie können durch Ändern der verschiedenen Keywords verfolgen track Parameter. A step-by-step guide (with code and tips) on obtaining a large Twitter dataset using the easy-to-use Python library Tweet datasets are an extremely …. This sounds complicated, but Tweepy makes it easy. The statuses/filter endpoint is not limited to a specific user context like the now deprecated and retired User Streams used to be. We can then add filters in the way we stream using the stream. com/appengine/docs/python/sockets/#making. Next create, a file called twitter_streaming. For more information on the capabilities and limitations of the different streams see Twitter Streaming API Documentation. First of all, you must install the Python Tweepy library. Among the many libraries available for using Twitter API, Tweepy, implemented in python, is usually the first choice of most programmers, 'cause it's really efficient and easy to use. Twitter Streaming API allows you to connect to the Twitter…. Twitter for Python! Contribute to tweepy/tweepy development by creating an account on GitHub. Then it can also spin your tweet message automatically if you need. Additionally you will need a twitter account and an app with keys. © Copyright 2009, Joshua Roesslein. Date filters. pip install tweepy. Something like Tweepy can help you collect them. Using Tweepy to scrape tweets from twitter using API : complete Twitter developers account ( skip to the end for scrapper and logger ) To begin with you will be needing a twitter developers account, dont worry the account is free and easily available for personal uses and research purposes. What kinds of user data are you looking for? MyPersonality was an example of volunteered user data. I'll be using python for demonstration, but any native API which supports the Twitter REST API will do. Hey there, I manage a few Twitter bots using the Python-Twitter library worked fine on a free account here. API Reference¶. This parameter may be used on all streaming endpoints, unless explicitly noted. I'd import 'tweepy' package for accessing twitter data for analysis and visualization in Python. In this tutorial we will be covering: Get tweets. pip install tweepy. bio_contains: Performs a substring match on the user’s account-level bio, which is comprised of user-generated text and may not include location information. Tweepy is a Python wrapper for the Twitter API. Tweepy uses a "listener" to not only grab the streaming tweets, but filter them as well. At its core, it is. Hello community, here is the log from the commit of package python-tweepy for openSUSE:Factory checked in at 2016-03-02 14:21:21. The cool thing with Tweepy is that you can customize the code to collect the data you want, like the numbers of RT a tweet has, the numbers of one’s followers, the hashtags you want to analyze, the localization of the tweets, etc. I ended up setting my tweepy stream. StreamListener): """ A listener handles tweets are the received from the stream. Amazon Web Services (AWS) Lambda provides a usage-based compute service for running Python code in response to developer-defined events. reply_all (model=None, **kwargs) ¶ Reply to all mentions since the last time self. This post by Lucas Puente does it with R and the Google Maps API. Before diving into constructing the stream listener, let's set some variables. A Tweepy stream is created to filter tweets that are in the English language and include some of the keywords specified in the main function argument, "Python" or "Tweepy" in this case. filter (track = hash_tag_list). By continuing to use Pastebin, you agree to our use of cookies as described in the Cookies Policy. Tweepy supports both OAuth 1a (application-user) and OAuth 2 (application-only) authentication. Tweepy streaming returns 401 Authorization Required. It provides a simple API for diving into common natural language processing (NLP) tasks such as part-of-speech tagging, noun phrase extraction, sentiment analysis, classification, translation, and more. filter(locations=[-180,-90,180,90]: is a little trick to get rid of the require filter word. Tweepy requires twitter app to be created to use Twitter's API to exchange information between Twitter and Python. twitter analysis with tweepy 1. API available for platform integration. Development Status. twitterStream. Python, tweepy stream. Once you have that, you're going to need to get Tweepy, which is a Python module for streaming Twitter tweets. The Stream object is created, which uses that listener as output. Learn about installing packages. retweet(id_string) return # This is the listener. EDIT: I'm going to add my solution here in case it's helpful to others or someone can tell me a better method. You'll have to filter out other Tweets yourself. I wanted to do some research with public tweets using tweepy. During this talk, Tobias Riazi will introduce attendees to performing sentiment analysis on Twitter data and. Personal project in Python, web using amazon web services, iot projects, etc. tweepy / tweepy. Start consuming public statuses that match one or more filter predicates. The fact-checkers, whose work is more and more important for those who prefer facts over lies, police the line between fact and falsehood on a day-to-day basis, and do a great job. Today, my small contribution is to pass along a very good overview that reflects on one of Trump’s favorite overarching falsehoods. Namely: Trump describes an America in which everything was going down the tubes under  Obama, which is why we needed Trump to make America great again. And he claims that this project has come to fruition, with America setting records for prosperity under his leadership and guidance. “Obama bad; Trump good” is pretty much his analysis in all areas and measurement of U.S. activity, especially economically. Even if this were true, it would reflect poorly on Trump’s character, but it has the added problem of being false, a big lie made up of many small ones. Personally, I don’t assume that all economic measurements directly reflect the leadership of whoever occupies the Oval Office, nor am I smart enough to figure out what causes what in the economy. But the idea that presidents get the credit or the blame for the economy during their tenure is a political fact of life. Trump, in his adorable, immodest mendacity, not only claims credit for everything good that happens in the economy, but tells people, literally and specifically, that they have to vote for him even if they hate him, because without his guidance, their 401(k) accounts “will go down the tubes.” That would be offensive even if it were true, but it is utterly false. The stock market has been on a 10-year run of steady gains that began in 2009, the year Barack Obama was inaugurated. But why would anyone care about that? It’s only an unarguable, stubborn fact. Still, speaking of facts, there are so many measurements and indicators of how the economy is doing, that those not committed to an honest investigation can find evidence for whatever they want to believe. Trump and his most committed followers want to believe that everything was terrible under Barack Obama and great under Trump. That’s baloney. Anyone who believes that believes something false. And a series of charts and graphs published Monday in the Washington Post and explained by Economics Correspondent Heather Long provides the data that tells the tale. The details are complicated. Click through to the link above and you’ll learn much. But the overview is pretty simply this: The U.S. economy had a major meltdown in the last year of the George W. Bush presidency. Again, I’m not smart enough to know how much of this was Bush’s “fault.” But he had been in office for six years when the trouble started. So, if it’s ever reasonable to hold a president accountable for the performance of the economy, the timeline is bad for Bush. GDP growth went negative. Job growth fell sharply and then went negative. Median household income shrank. The Dow Jones Industrial Average dropped by more than 5,000 points! U.S. manufacturing output plunged, as did average home values, as did average hourly wages, as did measures of consumer confidence and most other indicators of economic health. (Backup for that is contained in the Post piece I linked to above.) Barack Obama inherited that mess of falling numbers, which continued during his first year in office, 2009, as he put in place policies designed to turn it around. By 2010, Obama’s second year, pretty much all of the negative numbers had turned positive. By the time Obama was up for reelection in 2012, all of them were headed in the right direction, which is certainly among the reasons voters gave him a second term by a solid (not landslide) margin. Basically, all of those good numbers continued throughout the second Obama term. The U.S. GDP, probably the single best measure of how the economy is doing, grew by 2.9 percent in 2015, which was Obama’s seventh year in office and was the best GDP growth number since before the crash of the late Bush years. GDP growth slowed to 1.6 percent in 2016, which may have been among the indicators that supported Trump’s campaign-year argument that everything was going to hell and only he could fix it. During the first year of Trump, GDP growth grew to 2.4 percent, which is decent but not great and anyway, a reasonable person would acknowledge that — to the degree that economic performance is to the credit or blame of the president — the performance in the first year of a new president is a mixture of the old and new policies. In Trump’s second year, 2018, the GDP grew 2.9 percent, equaling Obama’s best year, and so far in 2019, the growth rate has fallen to 2.1 percent, a mediocre number and a decline for which Trump presumably accepts no responsibility and blames either Nancy Pelosi, Ilhan Omar or, if he can swing it, Barack Obama. I suppose it’s natural for a president to want to take credit for everything good that happens on his (or someday her) watch, but not the blame for anything bad. Trump is more blatant about this than most. If we judge by his bad but remarkably steady approval ratings (today, according to the average maintained by 538.com, it’s 41.9 approval/ 53.7 disapproval) the pretty-good economy is not winning him new supporters, nor is his constant exaggeration of his accomplishments costing him many old ones). I already offered it above, but the full Washington Post workup of these numbers, and commentary/explanation by economics correspondent Heather Long, are here. On a related matter, if you care about what used to be called fiscal conservatism, which is the belief that federal debt and deficit matter, here’s a New York Times analysis, based on Congressional Budget Office data, suggesting that the annual budget deficit (that’s the amount the government borrows every year reflecting that amount by which federal spending exceeds revenues) which fell steadily during the Obama years, from a peak of $1.4 trillion at the beginning of the Obama administration, to $585 billion in 2016 (Obama’s last year in office), will be back up to $960 billion this fiscal year, and back over $1 trillion in 2020. (Here’s the New York Times piece detailing those numbers.) Trump is currently floating various tax cuts for the rich and the poor that will presumably worsen those projections, if passed. As the Times piece reported: