How To Import Plotly In Jupyter

Using plotly in your notebook for a jekyll blog post¶ First we'll start out like normal by importing necessary plotly modules as well as numpy and pandas. Let’s compare Jupyter with the R Markdown Notebook! There are four aspects that you will find interesting to consider: notebook sharing, code execution, version control, and project management. graph_objs as go from plotly import tools import plotly. py is a high-level, declarative charting library that includes over 30 chart types, including scientific charts, 3D graphs, statistical charts, SVG maps, financial charts, and more. The live training shows how to get started with the basics in Python via Jupyter notebooks, then proceeds to dive into nuts and bolts of Data Science libraries in Python. The first thing we need to do is to import the Plotly library, which we can do with the following statements. In this episode, we are going to work with importing a dataset and using specific information from the dataset to build a new visualization. The jupyter_config_wrapper command calls a script that will create encryption keys for the Jupyter notebook, configure the jupyter config file, and sets the default tmux shell to bash. News Tests are failing due to release of plotly v3. plotly as py from. I tried a variety of commands in the terminal but none of them worked. In a way, jupyter-scala is just a bridge between these two projects. When the code is executed inside a Jupyter notebook, it will display a histogram using the plotly javascript library. offline as py import plotly. Unable to see plot in jupyter notebook. You can publish Jupyter Notebooks on Plotly. The interaction with Jupyter (the Jupyter protocol, ZMQ concerns, etc. iplot(data, filename="barplot") The result in PyCharm is a blank field: In Jupyter Notebook this code gives a (proper) interactive chart as the result. Read through the first couple chapters of “Learning IPython for Interactive Computing and Data Visualization”, which is attached. If you want to download the. Sharing a visualization that I made with Python, in Jupyter Notebook. 57K stars python-xlib @plotly/webpack-dash-dynamic-import. GitHub Gist: instantly share code, notes, and snippets. Plotly OEM Pricing Enterprise Pricing About Us Careers Resources Blog Support Community Support Documentation JOIN OUR MAILING LIST Sign up to stay in the loop with all things Plotly — from Dash Club to product updates, webinars, and more! Subscribe. 1 Warning: * Feel free to review the docs for additional. jupyter notebook --NotebookApp. For offline plotting in Jupyter, you need to use: import plotly. I wanted to learn more about plotly and dash while exploring the potential for linking an interactive map with graphs, in this case 24-hr timeseries graph of the average travel times on the selected. Plotly With Python: Recently, I stumbled upon Plotly, a beautiful online Data Visualization system by virtue of a MAKE article. An extension for supercharging your Data Science workflow by previewing Jupyter Notebook within VS Code. EDA, or exploratory data analysis, is at the heart of the Machine Learning; therefore, this series also highlights how to perform EDA in Python and Jupyter Notebook. This way, we can display them in a jupyter notebook or save them as a standalone HTML. plotly, which shouldn't be happening. offline import download_plotlyjs, init_notebook_mode, plot, iplot init_notebook_mode(connected=True). plotly is an interactive visualization library. offline as py import numpy as np data = [] steps = [] for step in. plotly as py import pandas as pd import numpy as np #once you set credentials they are stored in local space and referenced automatically #you need to subscribe to the site to get the credentials. You can vote up the examples you like or vote down the ones you don't like. If you have Docker installed, you can install and use JupyterLab by selecting one of the many ready-to-run Docker images maintained by the Jupyter Team. In this tutorial, we step through how install Jupyter on your Spark cluster and use PySpark for some ad hoc analysis of reddit comment data on Amazon S3. figure_factory as FF import numpy as np import pandas as pd A Simple Example ¶ CSV or comma-delimited-values is a very popular format for storing structured data. The Jupyter Notebook used to be called the IPython Notebook. import pandas as pd import numpy as np import nltk from sklearn. Open the ipython-notebook web browser interface. stem import WordNetLemmatizer from nltk. pyplot as plt import seaborn as sns % matplotlib inline from bubbly. In this tutorial, we will use the Javascript kernel IJavascript which makes it possible to run Javascript code. Hello, I’m new to Python. PyCharm also colours comments differently than rest of code, so you can spot it easily. from plotly. Here’s a talk by Jon Mease, the plotly. from plotly. graph_objs import *. Now that we have grouped and counted the file extensions found within the directory tree, we are finally ready to plot the results. IPython (now Jupyter) was originally started by Fernando Perez as a way to improve the Python work flow for scientific computing. plotly) and I made sure that was readable and writable (thinking that the import was actually failing due to a non-writable plotly directory, though I see that isn. Our Part 1 of Jupyter Notebook Tutorial was on how to install on localhost or server - on Mac OS X or GNU/Linux. pyplot as plt import seaborn as sns % matplotlib inline from bubbly. The pandas package offers spreadsheet functionality, but because you’re working with Python, it is much faster and more efficient than a traditional. A workaround for this at the moment is to downgrade plotly and install cufflinks with the following commands. Plotly as you can see was very succinct and they added interactivity automatically. This is my command in Jupyter Notebook: from plotly import version. Simply visit plot. import plotly import plotly. To import the notebook, go to the Zeppelin home screen. js' hide_colorbar: Hide color bar(s) rdrr. import plotly. stem import WordNetLemmatizer from nltk. init_notebook_mode # graphs charts inline (IPython). 👍 1 This comment has been minimized. offline import download_plotlyjs,init_notebook_mode,plot,iplot. 125) This file has been truncated. Colab (Google's flavor of Jupyter Notebook) can now open/save notebooks directly from Github. offline import iplot, init_notebook_mode init_notebook_mode. Jupyter Notebook Cheat Sheets Scipy Stack Cheat Sheets Scipy Stack Cheat Sheets Table of contents. Change the colors of a scatterplot3d trough plotly python. We'll use mapbox-gl to map the data. Hello, I’m new to Python. Matplotlib, which is the one of the easiest to use, is designed for use on the local. iopub_data_rate_limit=214748364 Matplotlib 2. Create a Python powered dashboard in under 10 minutes Published December 4, 2014 March 28, 2017 by modern. Importing necessary libraries. The FloatLogSlider has a log scale, which makes it easy to have a slider that covers a wide range of positive magnitudes. See USA County Choropleth Maps in Python for more information on the county choropleth figure factory. This file can be opened in your browser. Parametrize and run Jupyter and nteract Notebooks @plotly/webpack-dash-dynamic-import. graph_objs import *. using pip or an environment manager like Anaconda) and import the package into your script/program. go_offline # required to use plotly offline (no account required). plotly as py from. When the code is executed inside a Jupyter notebook, it will display a histogram using the plotly javascript library. Regardless of the language chosen, the Jupyter interface remains the same. import plotly. ayandeephalder September 27, 2019, 1:01pm #1. py files in Google Colab ; How to recover deleted Jupyter notebook cell? How to edit and save text files(. Along the way you will learn about following #data #visualization. iplot() when working offline in a Jupyter Notebook. It is redundant for me to say that there are various articles which show the utilisation of Plotly for Arduino, Raspberry Pi, etcetera. In the course, we will start from basic data analysis tasks in Jupyter Notebook and work our way up to learn some common scientific Python tools such as pandas, matplotlib, and plotly. You can vote up the examples you like or vote down the ones you don't like. layout = html. In Spyder, goto->Tools ->PYTHONPATH Manager -> addPath -> insert path to Plotly library (mine was in python\python36-32\Lib\site-packages), then synchronize; Restart Spyder; test it out with import plotly. An issue I am trying to better understand is how to insure that plotly graphics will be saved/rendered to SVG with the state corresponding to the latest plot interaction using the controls available in the upper right of the displayed plot. import plotly. graph_objs import Scatter, Layout plotly. By default, plotly works in online mode, which requires computer connected to internet and a Plotly account created. In our previous lesson, we made an interactive 2D-plot with Plotly for one Finse Station (Hills) and one variable (sonic temperature) over a chosen period of time (between 1/12/2017 to 1/1/2018). However, this rarely happens in practice!. py is an interactive, open-source, and JavaScript-based graphing library for Python. path hack" you mean [code]append[/code]ing or [code]insert[/code]ing to [code]sys. graph_objs import Scatter, Layout import plotly. init_notebook_mode(). Plotly has a wrapper for pandas (data manipulation library) called Cufflinks, which is currently having compatibility issues with plotly's latest version. IPython) submitted 3 years ago * by pybokeh As some of you may already know, plotly has open-sourced their javascript library. py that exposes a simple syntax for complex charts. figure_factory as FF import numpy as np import pandas as pd A Simple Example ¶ CSV or comma-delimited-values is a very popular format for storing structured data. Plotly & Python Next I'll discuss an example creating a visualization with Plotly's Python Library. I tried a variety of commands in the terminal but none of them worked. Posts render beautifully, interactive charts make it easy to interact with your data. vscode-nbpreviewer. plotly as py import plotly. Occasionally we will also use interactive visualization libraries like Plotly: In [5]: ## Plotly plotting support import plotly. tokenize import word_tokenize # tokenize a document into words from nltk. 5 Interact with data structures 1. 2 SDE连接postgresql配置. Whether it be a simple line graph or complex objects like wordclouds or sunbursts , there are countless tools across different programming languages and platforms. Plotly OEM Pricing Enterprise Pricing About Us Careers Resources Blog Support Community Support Documentation JOIN OUR MAILING LIST Sign up to stay in the loop with all things Plotly — from Dash Club to product updates, webinars, and more! Subscribe. offline as py import plotly. offline import iplot, init_notebook_mode init_notebook_mode. offline as py import numpy as np data = [] steps = [] for step in. ly figure, or any object that can be passed to iplot() insights. data()); The html function can be used to wrap html text. They are extracted from open source Python projects. Follow the instructions in the Quick Start Guide to deploy the chosen Docker image. 0 of Plotly. import plotly. plotly as py. Instalé plotly. arrows to represent vector quantities. How to plot data on maps in Jupyter using Matplotlib, Plotly, and Bokeh Posted on June 27, 2017 If you're trying to plot geographical data on a map then you'll need to select a plotting library that provides the features you want in your map. Configuration Overview; Config file and command line options; Running a notebook server; Security in the Jupyter notebook server; Security in notebook documents; Configuring the notebook frontend. It is a common problem that people want to import code from Jupyter Notebooks. This is difficult to explain but basically I have a bunch of buttons and these buttons at the same time have their own class and unique variablesI want to be able to get the last clicked button but I do not know how to do this. figure_factory as FF import numpy as np import pandas as pd A Simple Example ¶ CSV or comma-delimited-values is a very popular format for storing structured data. pip install plotly is an easy way to install the latest stable package for Plotly from PyPi. Also, this library contains a set of complex tools for visualization that would otherwise (i. Hydrogen makes it easy to convert between text files and Jupyter Notebook (. data in Business Intelligence , Dashboards , Python Plotly graphs can be embedded in web sites to create interactive, highly customized dashboards that have many advantages over what is available with expensive, traditional BI software. 続いて、Jupyterにてプログラム「fb_news_53D_plotly. As the platform evolved, additional languages (called kernels) were added. pip install jupyter_plotly_dash Now the package is installed, it can be used within a Jupyter notebook. You can continue learning about these topics by:. The online support also is really great. jupyter-plotly-dash latest Contents: Introduction; Installation; Usage; Development; jupyter-plotly-dash from jupyter_plotly_dash import JupyterDash. offline as offline is commented (line starts with # symbol means it is a comment). co/UJam4Lppjv. Installing Jupyter Notebook using Anaconda. Plotly is by far the best interactive visualization library/platform I have used, and it works very well with IPython/Jupyter too. ) are handled in a separate project, jupyter-kernel. Save Jupyter Notebook with Plotly Express widgets displaying Updated August. If you're not sure which to choose, learn more about installing packages. Using Jupyter Notebook and Plot. Once I create my first pizza. show method on a graph object figure, or pass the figure to the plotly. Use plotly. Occasionally we will also use interactive visualization libraries like Plotly: In [5]: ## Plotly plotting support import plotly. offline as py import plotly. In the course, we will start from basic data analysis tasks in Jupyter Notebook and work our way up to learn some common scientific Python tools such as pandas, matplotlib, and plotly. Normal figures displayed by the iplot command work fine, but the Figurewidgets are not supported in the export and do not show up. After exploring some options to enable interactive plot displays via Jupyter Notebooks in our Projects posts, I came across the Plotly API module. The resolve is : pip install plotly --upgrade. The following are code examples for showing how to use plotly. from plotly. Plotly & Python Next I’ll discuss an example creating a visualization with Plotly’s Python Library. import ipywidgets as widgets The Output widget can capture and display stdout, stderr and rich output generated by IPython. It also supports python and most importantly it can be used to plot offline and integrates very well with jupyter notebooks. import plotly as py import plotly. How to use Jupyter notebooks with Flask app June 27, 2017 flask , jupyter , python The strong part of Python and other interpreted languages is an interactive shell. Yet there is something still amiss. import plotly. import plotly as py import plotly. 6 (17G65) with jupyter 4. Plotly Express is a new high-level Python visualization library: it’s a wrapper for Plotly. init_notebook_mode(). Plotly visualizations are built with plotly. Regardless of the language chosen, the Jupyter interface remains the same. ! pip install plotly. websocket import WebSocketServerProtocol, WebSocketServerFactory #import websockets import numpy import threading import time import plotly from plotly. The following example demonstrates using Plotly to create an interactive figure within a notebook. The jlpm command is JupyterLab's pinned version of yarn that is installed with JupyterLab. Embedding Maps with Python & Plotly Data Visualization is an art form. This notebook was produced by Pragmatic AI Labs. I have written the plotly and ipywidget codes in a separate module and I am calling the functions from this custom module in the jupyter notebook to create the widgets and the plots. when I run the code from plotly tutorial , I got nothing. In this tutorial, we step through how install Jupyter on your Spark cluster and use PySpark for some ad hoc analysis of reddit comment data on Amazon S3. The documentation is not very well organized, at-least not from my point of view. 1 Cufflinks 0. Plotly是一个非常著名且强大的开源数据可视化框架,它通过构建基于浏览器显示的web形式的可交互图表来展示信息,可创建多达数十种精美的图表和地图,本文就将以jupyter notebook为开发工具,详细介绍Plotly的基础内容。. from plotly import iplot 0 Votes Sunny Patel October 09, 2018 19:25 PM. It can plot various graphs and charts like histogram, barplot, boxplot, spreadplot and many more. Visualizing K-Means Clusters in Jupyter Notebooks Posted on April 18, 2017 The information technology industry is in the middle of a powerful trend towards machine learning and artificial intelligence. Offline plotting has two options: Use plotly. Once that's done, you will get an API key. Next, we need to start jupyter. interact) automatically creates user interface (UI) controls for exploring code and data interactively. The Python code looks like this:. Just like with Jupyter, you can also work interactively with your R Markdown notebooks. import plotly import plotly. Amazon SageMaker is a fully-managed service that covers the entire machine learning workflow. PyCharm also colours comments differently than rest of code, so you can spot it easily. data in Python. 7 Summary Lesson 2: Writing and Applying Functions Learning Objectives 2. Occasionally we will also use interactive visualization libraries like Plotly: In [5]: ## Plotly plotting support import plotly. Use plotly. plotly as py py. ! pip install plotly. 今日の勉強会はグラフ可視化だったのですが、plotlyがすごいかっこいいことがわかったのでメモを残します。 plotlyはログインしないといけないと勘違いしてましたが、 勉強会で教えて. But now, it is no longer working Here is the code which I ran to launch plotly and cufflinks in my jupyter notebook: import plotly. offline as py import numpy as np data = [] steps = [] for step in. , and share these documents easily. Jupyter notebooks allow you to run abitary shell commands directly from inside the notebook. Test that the Anaconda´s package manage called conda works by opening a command prompt as a admin user and running command conda--version. init_notebook_mode (). PyCharm also colours comments differently than rest of code, so you can spot it easily. If plotly is already on your computer, pip will tell you that the requirement is already satisfied. If data is available from REST APIs, Jupyter Notebooks are a fine vehicle for retrieving that data and storing it in a meaningful, processable format. To add data visualization functionality to your code, you must download a Python visualization package (e. Then we are setting up our bar chart parameters, followed by our overall layout parameters such as our title and then we're using dictionaries to set up how we want parameters such as our axes and. These programming languages were the first target languages of the Jupyter application, but nowadays, the notebook technology also supports many other languages. graph_objs as go import plotly. plotly can either render interactive graphs inside a jupyter notebook or save plots as html and open them inside a browser. Open the Anaconda prompt, and type pip install plotly. Pragmatic AI Labs. data in Business Intelligence , Dashboards , Python Plotly graphs can be embedded in web sites to create interactive, highly customized dashboards that have many advantages over what is available with expensive, traditional BI software. Visualizing K-Means Clusters in Jupyter Notebooks Posted on April 18, 2017 The information technology industry is in the middle of a powerful trend towards machine learning and artificial intelligence. Dash for the application, and copy the following into a code cell and evaluate it. For security, it only accepts connections from localhost (i. jpeg version, visit your Viewplot and click on the blue 'Export' at the top right-hand side of your plot and select it in the popup menu. #Enabling the offline mode for interactive plotting locally from plotly. This guide describes how to install and use Jupyter Notebook App as normal desktop application, without using any remote server. js, so that one can use plotly-scala by following the documentation of plotly. from dataiku import insights # f is a plot. ! pip install plotly. 4 Use numbers and arithmetic operations 1. Tip on how to run plotly examples in offline mode As some of you may already know, plotly has open-sourced their javascript library. Plotly is an interactive graphing library. It supports many languages and kernels, and works with frontends including the web application Jupyter Notebook. #Enabling the offline mode for interactive plotting locally from plotly. ! pip install plotly. This article covers how to create a virtual Python environment and run a jupyter notebook inside it. This is optional, Plotly can be used offline. Its classes closely follow the API of plotly. For example, I can run the following code but it generates a graph in a HTML file that can be accessed OUTSIDE of jupyter notebook. Horizontal colorbar and same size as the figure in matplotlib. I'm also using the versatile library "requests", which has a built-in JSON decoder, which is important when working with an API that returned JSON data. The jupyter_config_wrapper command calls a script that will create encryption keys for the Jupyter notebook, configure the jupyter config file, and sets the default tmux shell to bash. Chart Studio Support¶ The chart-studio package can be used to upload plotly figures to Plotly's Chart Studio Cloud or On-Prem services. graph_objs import *. jupyter notebook --NotebookApp. Plotly Express is a new high-level Python visualization library: it’s a wrapper for Plotly. what is choropleth maps and point maps. Next Previous. Plotly provides online graphing, analytics, and statistics tools for individuals and collaboration, as well as scientific graphing libraries for Python , R , MATLAB , Perl , Julia , Arduino , and REST. When I started writing this blog, plotly graphs were not embedded in the correct format. Read through the first couple chapters of “Learning IPython for Interactive Computing and Data Visualization”, which is attached. As the platform evolved, additional languages (called kernels) were added. Besides the differences between the Jupyter and R Markdown notebooks that you have already read above, there are some more things. Amazon SageMaker is a fully-managed service that covers the entire machine learning workflow. Plotlywrapper wraps plotly to make easy plots easy to make. Normal figures displayed by the iplot command work fine, but the Figurewidgets are not supported in the export and do not show up. The following code sets up our bar chart using Plotly. Finally, I had to code my way through. graph_objs as go import math % matplotlib inline. offline as py from plotly. The resolve is : pip install plotly --upgrade. Save Jupyter Notebook with Plotly Express widgets displaying Updated August. in the cloud hate cloud) plotly. Plotly full open-sourcing in November 2015 was immediately followed by the ability to make Plotly plots completely offline, without Plotly's servers. @KNerush @Volodymyrk Volodymyr (Vlad) Kazantsev Head of Data @ product madness Product Manager MBA @LBS Graphics programming Writes code for money since 2002 Math degree 2 Kateryna (Katya) Nerush Mobile Dev @ Octopus Labs Dev Lead in Finance Data Engineer. Plot Controls & IPython widgets. text import CountVectorizer import plotly. Jupyter – the IPython spin-off notebook that contains the IPython kernel as well as many other languages. Bar( x=['giraffes', 'orangutans', 'monkeys'], y=[20, 14, 23] )] py. If Jupyter Notebook is installed, the command to start Jupyter is jupyter notebook and the first line of code to enable plotting in the current Notebook is %matplotlib inline. Środowisko. Normal figures displayed by the iplot command work fine, but the Figurewidgets are not supported in the export and do not show up. But you won't be able to get to files outside the tree jupyter has access to (though I could be wrong). Python's Plotly allows plotting interactive graphs both in offline as well as online mode. One big stumbling block was that we wanted students to be able to show 3D models inside a Jupyter Notebook. tokenize import sent_tokenize # tokenize a document into sentences from collections import Counter from nltk. It is mainly used in data analysis as well as financial analysis. Hello, I’m new to Python. To display a figure using the renderers framework, you call the. For additional examples, check out the Plotly Dash gallery and our own examples section. offlineというのが. iopub_data_rate_limit=214748364 Matplotlib 2. In this lesson, we will look at basic examples with Plotly and build up simple and intuitive time-series data graphs which will be 100% interactive in nature and yet easy to design. With a good visualisation, one can most. , jupyter_start 9876). We are pleased to announce the release of Jupyter Notebook 5. I have written the plotly and ipywidget codes in a separate module and I am calling the functions from this custom module in the jupyter notebook to create the widgets and the plots. Today I’ll be talking about Plotly, a much richer package that allows for a lot more functionality. Dash is a Python framework for building analytical web apps in Python. offline as py import plotly. Here’s a talk by Jon Mease, the plotly. Plotly is a really cool plotting library for python which creates amazing interactive plots, which are great for notebooks! In this video, we do a simple interactive example with plotly and. from jupyter_plotly_dash import JupyterDash import dash import dash_core_components as dcc import dash_html_components as html from dash. The HBox in Jupyter creates a horizontal box into which we can insert these elements. Now that you have it installed, you'll need to go to the Plotly website and create a free account. NumPy – the fundamental package for scientific computing with Python, contains N-dimensional array objects. Has someone faced the same issue? import plotly import numpy as np from plotly. py # Just to clean up after the work, deactivate. An open-source, interactive graphing library for Python. At this point, PyCharm will. Since then Plotly offline plots don’t need IPython/Jupyter, although. Then to get more information about that type in: anaconda show [user]/[package]. init_notebook_mode(connected=True) py. Built on top of plotly. figure_factory as FF import numpy as np import pandas as pd A Simple Example ¶ CSV or comma-delimited-values is a very popular format for storing structured data. show all the rows or columns from a DataFrame in Jupyter QTConcole. Check out the full Jupyter notebook for the nitty gritty data munging steps in Pandas. Plotly OEM Pricing Enterprise Pricing About Us Careers Resources Blog Support Community Support Documentation JOIN OUR MAILING LIST Sign up to stay in the loop with all things Plotly — from Dash Club to product updates, webinars, and more! Subscribe. Visually representing the content of a text document is one of the most important tasks in the field of text mining as a Data Scientist or NLP specialist. Running code inline and in real time is a more natural way to develop. ipynb_checkpoints/MRMR-checkpoint. Also, this library contains a set of complex tools for visualization that would otherwise (i. figure_factory as ff. Its classes closely follow the API of plotly. Normal figures displayed by the iplot command work fine, but the Figurewidgets are not supported in the export and do not show up. See USA County Choropleth Maps in Python for more information on the county choropleth figure factory. I have written the plotly and ipywidget codes in a separate module and I am calling the functions from this custom module in the jupyter notebook to create the widgets and the plots. iplot() or plotly. To use Plotly, install the Plotly PyPI package and attach it to your cluster. View Sheema Murugesh Babu’s profile on LinkedIn, the world's largest professional community. plotly for an online plot. graph_objs as go import plotly. I decided to have a little fiddle around with WordPress by making some custom PHP and CSS for the first time. If you are running an older version of the IPython Notebook (version 3 or earlier) you can use the following to upgrade to the latest version of the Jupyter Notebook. 2 Utilize functional programming concepts. 👍 1 This comment has been minimized. py scrypt; Hope it works out for you. graph_objs as go in a new. See some example notebooks:. Setup Jupyter Notebook with Plot. We’re importing our libraries, and using the same color palette. 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: