Import File In Jupyter Notebook

Uses include: data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more. xls) files using the xlwt package. Try JupyterLab JupyterLab is the new interface for Jupyter notebooks and is ready for general use. The most convenient method is to have these support files in the same directory as the Jupyter notebook to allow for the direct import of code or data that is contained in these files. I would like to set up Jupyter so we have remote access. ipynb is the name of the file path to your notebook to be converted. display import display (Other types: file links, audio files, code, and more. jupyter nbconvert --to notebook. >>> Python Software Foundation. ipynb extension on GitHub, they will render as static HTML files in your repository. Jupyter notebooks are often saved with output cells that have been cleared. Configure PyCharm with the same python interpreter as Jupyter. It would be nice if I can just double click the. dbapi2 import * File "H:\Anaconda3\lib\sqlite3\dbapi2. Share your notebook file with gists or on github, both of which render the. Any way to work with ARCSI (Atmospheric and Radiometric Correction of Satellite Imagery) like any other python package? Can it be imported in a jupyter notebook? >>>import arcsi or is. It is an interactive computational environment, in which you can combine code execution, rich text, mathematics, plots and rich media. Choose to clone using git or download the zip file. In Jupyter Notebook, Cells create a body of the notebook. They will exist in your directory as a JSON file with the extension. One option that I missed quite early during my work with Jupyter notebooks, was the ability to import other notebooks using the import statement. You can create a new Python 3 Jupyter Notebook file (. Furthermore we’ll explore the basic functionality of Jupyter Notebook and you’ll be able to try out first examples. Another reason is that the notebook can be processed by any programing language, and can be converted to any file formats such as Markdown, HTML, PDF, and others. Defaults for these options can also be set by creating a file named jupyter_notebook_config. IPython also provides edit magic command. This ensures that the kernel is configured to use the package before the session starts. To start Jupyter Notebook with the. display import SVG from rdkit import Chem from rdkit. Windows: Under "Search programs and files" from the Start menu, type jupyter notebook and select "Jupyter notebook. %matplotlib inline import matplotlib. HTML class, because this example will use html to embed a local video file to display, so need the HTML class. In the notebook they can see the code as well as the actual results of running the code. Explore Popular Topics Like Government, Sports, Medicine, Fintech, Food, More. my_format is one of the conversion options. Introduction. Enterprise Gateway provides a Kubernetes deployment descriptor that makes it simple to deploy it on a Kubernetes environment with the command below:. Output Formats HTML. In this article, we'll introduce you to PixieDust and use it to open Jupyter notebooks using Node. Choose to clone using git or download the zip file. Hi, I have been trying to make use of IFrame to display a PDF file inside a Jupyter notebook. ipynb) that is not already in that directory. ipynb and create a new file called notebook. Of course, I can use nbconvert to convert my notebook files to other formats - including HTML - right from the command line. Chem import rdDepictor from rdkit. Flexible Data Ingestion. In addition to Python and Jupyter Notebook, you will need the following Python modules: matplotlib - data visualization; NumPy - numerical data functionality; OpenPyXL - read/write Excel 2010 xlsx/xlsm files; pandas - data import, clean-up, exploration. This post is part 2 in a series about how to simplify your Jupyter Scala notebooks by moving complex code into precompiled jar files. I created a new environment called ‘idp’ with Intel optimized libraries, but when I run ‘jupyter notebook’ , The kernel does never start up. It is to make sure that all the product imports made with Product Export Import Plugin for WooCommerce are accurate. There's also ipdb but importing and calling it directly only works in the terminal, not in notebooks (see this issue). This is the way Python handles imports - when you from bar import func, it reads the file and gives you func. Why are my edits to an IPython Notebook being "undone" after a few seconds. Is there a way to load a file containing LaTeX macros in a markdown cell (or in some other location, if it gets the job done)? I am trying to avoid having to cut-and-paste a long list of LaTeX macros into every Jupyter Notebook I create. When working with Jupyter Notebook, you will find yourself needing to distribute your Notebook as something other than a Notebook file. While using jupyter notebook, you decided to keep it clean by write your own functions in a separate python file named myUtils. For this example, I am using Jupyter Notebook. It looks like you are using the Pandas module, perhaps? Including that, or whatever module you are using, in your internet search for help will lead to more thorough results. You can create a new Python 3 Jupyter Notebook file (. Amazon EMR offers you two options to work with Jupyter notebooks:. pyecharts support show charts and export to some file formats in the Jupyter Notebook. The import functionality validates the structure of the workspace file and validates the id field in the workspace metadata to make sure its URL is compatible with either the workspaces_url configuration or the page_url configuration to verify that it is a correctly named workspace or it is the default workspace. It is a common problem that people want to import code from Jupyter Notebooks. Docstring specifies that you have a value parameter which is a bytes. py file in the same directory as the pynq directory with the following code. Enter command mode and use Shift + S to toggle the current cell to either a split cell or full width. It is a document, following a versioned schema, and containing an ordered list of input/output cells which can contain code, text, headings, mathematics, plots, and rich media. You can get a list of standard paths Jupyter tools use for configuration, static assets, and temporary runtime files by running the command jupyter --paths. 0-2019-08-29 with jupyter notebook. ipynb extension) can be saved and executed from. importing (CSV) files from jupyter notebook's project and analyzing the data us. ipynb extension on GitHub, they will render as static HTML files in your repository. 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. Notebook name: The name displayed at the top of the page, next to the Jupyter logo, reflects the name of the. This notebook simply loads the JSON file to a dataframe and writes it again to a pickle. pip install jupyter_plotly_dash Now the package is installed, it can be used within a Jupyter notebook. Defaults for these options can also be set by creating a file named jupyter_notebook_config. ) If using From Computer, drag and drop your. "Writeandexecute" allows you to quickly save classes or functions in a Jupyter notebook as separate *. NET dev can implement machine learning without switching language is cool. Contributed Recipes¶. With a local connection, the code you execute can read, write, and delete files on your computer. Once the appropriate environment is activated, you can create and open a Jupyter Notebook, connect to a remote Jupyter server for running code cells, and export a Jupyter Notebook as a Python files. 3, the first time you log-in using a token, the notebook server should give you the opportunity to setup a password from the user interface. Other options are. To convert, you can either do this using the dropdown menu option File -> download as -> or via the command line by using the following lines: jupyter nbconvert notebook_name. ) and data from a database into Jupyter Notebook. Can Jupyter notebook run simultaneously with sage? Use Vi keys in sage console. ipynb) will be saved in your Downloads directory *** Opening and running the notebook on your computer **** Now that the file is on your computer, you should open the Jupyter notebook on your computer (jupyter notebook is the command). (Again, if your notebook is in a GitHub repository, follow the steps on Quickstart: Clone a notebook instead. The Jupyter Notebook is an incredibly powerful tool for interactively developing and presenting data science projects. Sample Code: https://github. Running asynchronous Rasa code in Jupyter Notebooks requires an extra requirement, since Jupyter Notebooks already run on event loops. Defaults for these options can also be set by creating a file named jupyter_notebook_config. From your terminal shell, run jupyter nbconvert --to my_format my_notebook. I get this error:. Create whatever widgets you’d like, and use Save Notebook Widget State and save the notebook. By the end of this guide, you will be able to run Python 3 code using Jupyter Notebook run. Consoles in general: require support for carriage return (CR, \r). py", line 6, in. ipynb) that is not already in that directory. Installing Jupyter using Anaconda and conda ¶ For new users, we highly recommend installing Anaconda. py, and importing it by calling import myUtils in your notebook. To launch a Jupyter notebook on your local machine, you can do the following. Jupyter Notebook, JupyterLab, Colab, or nteract) Additionally, Altair’s documentation makes use of the vega_datasets package, and so it is included in the installation instructions below. Make a multi-project utils library 3. 3, the first time you log-in using a token, the notebook server should give you the opportunity to setup a password from the user interface. ipynb extension. Users sometimes share interesting ways of using the Jupyter Docker Stacks. Two versions of Wing are appropriate for use with this document: Wing Pro is the full-featured Python IDE for professional developers, and Wing Personal is a free alternative with reduced feature set. creating a directory, renaming it, listing all directories and working with them. Importing Jupyter Notebooks as Modules¶. The content for the current page is contained in a Jupyter Notebook in the notebooks/ folder of the repository. Chem import rdDepictor from rdkit. The most likely reason is that you want to share the content of your Notebook to non-technical users that don’t want to install Python or the other dependencies necessary to use your Notebook. show_pytraj ( traj ) view. py contents into. There are various fields you can add to your kyso. It should have worked. One thing that makes this really seamless is using the autoreload magic extension. clear () view. IPython 3 was the last major monolithic release containing both language-agnostic code, such as the IPython notebook , and language specific code, such as the IPython. Why "Hydrogen"? Hydrogen atoms make up 90% of Jupiter by volume. From computer: Drag and drop files into the popup, or select Choose Files, then browse to and select the data files you want to import. Let’s say I want to install a de_DE dictionary. This new menu contains little snippets of code that we all forget from time to time but. ANN: Import/export to Jupyter (IPython) notebooks Showing 1-27 of 27 messages. Interacting with AWS S3 using Python in a Jupyter notebook It has been a long time since I’ve last posted anything. In our data file, there are above 29,000 rows. ipynb extension on GitHub, they will render as static HTML files in your repository. pip_install('matplotlib'), and get no errors with import matplotlib. Jupyter Notebook interface. The IPython Notebook is now known as the Jupyter Notebook. We will use Python 3 and Jupyter Notebook to demonstrate the code in this tutorial. F1キーでコマンドパレットを起動した後に次を入力します。途中まで入力すると補完が効くと. However, there isn’t one clearly right way to perform this task. exe, a jupyter console window showed up and disappeared in 3 seconds and without openning the localhost:8888. Defaults for these options can also be set by creating a file named jupyter_notebook_config. Then create this program:. gets converted to unwanted characters. Table of Contents — This extension enables you to collect all running headers and display them in a floating window, as a sidebar, or with a navigation menu. Next Steps. Tip: For more information see Configuring Jupyter Notebook Server. jupyter/jupyter_notebook_config. Add the following imports at the beginning of the file: import ipywidgets as widgets from traitlets import Unicode from traitlets import default from traitlets import List. As much as possible, I try to use a Jupyter Notebook as my go-to solution when I need to do moderately complex data analysis in a business setting. Try Jupyter; Installing Jupyter Notebook; Optional: Installing Kernels Running the Notebook. Jupyter provides the basis of the Azure Notebooks user experience. js is a dynamic, browser-based visualization library. 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. pem -out mycert. A Jupyter notebook is saved in a JSON text file. jupyter-nbconvert --to notebook --execute --output output_file_path input_file_path Of course, we want to do this programmatically and we want to be able to capture errors. It is an interactive computational environment, in which you can combine code execution, rich text, mathematics, plots and rich media. The most convenient method is to have these support files in the same directory as the Jupyter notebook to allow for the direct import of code or data that is contained in these files. line 6, in from notebook. However, there isn't one clearly right way to perform this task. First, in your Jupyter notebook/lab folder, upload the credentials JSON file you just downloaded from the Google Cloud Console. Built on top of the Plotly JavaScript library , plotly. Hi, I have been trying to make use of IFrame to display a PDF file inside a Jupyter notebook. csv") [/code]Here's a video explaining this so. Share your notebook file with gists or on github, both of which render the. Why math expressions of tuples in table are wraped? Import custom sage libraries into a Jupyter notebook. Jupyter should automatically migrate your notebook and qtconsole config to the new location if they exist. The notebook extends the console-based approach to interactive computing in a qualitatively new direction, providing a web-based application suitable for capturing the whole computation process: developing, documenting, and executing code, as well as communicating the results. For today sample I'm using Pima Indians Diabetes Database. The data is returned as a “DataFrame” which is a 2 dimensional spreadsheet-like data structure with columns of different types. A Jupyter widget to interactively view molecular structures and trajectories. Jupyter Lab. Introduction. To convert, you can either do this using the dropdown menu option File -> download as -> or via the command line by using the following lines: jupyter nbconvert notebook_name. jupyter nbconvert --to notebook. py) and it works for most of cases. js, MongoDB and rich visualizations. ipynb extension). I have no problem importing modules like matplotlib, reuqests, etc. The most likely reason is that you want to share the content of your Notebook to non-technical users that don't want to install Python or the other dependencies necessary to use your Notebook. Hi, it's my first time trying to use Jupyter and I tried almost everything and nothing give me a result whenever I try to launch Jupyter notebook It gets the follow error: Traceback (most recent call last): File "C:\Anaconda\lib\site-packages\notebook\services\sessions\sessionmanager. So, as recommended on the official page, I installed Jupyter using anaconda, and since doing so I am now able to successfully run Jupyter notebook using the command jupyter notebook. Where did it go? How do I read the file I just saved? Pandas and most other libraries have APIs to read or write from or to local file. These do not embed the data into the notebook file, and require that the files exist when you are viewing the notebook. So far, I have been using PyCharm to execute all of my code. jupyter-nbconvert --to notebook --execute --output output_file_path input_file_path Of course, we want to do this programmatically and we want to be able to capture errors. Tutorial: create and run a Jupyter notebook with Python. Before we upload one of our existing files, we will first create a new notebook with a “print(‘hello world’)” Python statement in a single cell. pyplot as plt 그리고 그래프 출력이 되는 코드를. This article introduces an example of a such a dataset: Oracle OpenWorld 2018 was a conference that took place in October 2018 in San Francisco. While the notebook supports multiple languages, most often it is used with Python. On the toolbar, click the New Import icon. Getting data from sensors and taking action in a physical world. ② 方法二——在Jupyter Notebook中新建终端 ⑴ 启动方法. All Jupyter Notebooks are identifiable by the notebook icon next to their name. What is Jupyter notebook? The IPython Notebook is now known as the Jupyter Notebook. This makes sure your dataset is isolated in one state so that it doesn't change as you analyze it. Use curl to retrieve a file from GitHub. You'll need some test logs that could be visualized in tensorboard, unless you already have the output files. To start Jupyter Notebook with the. In order to proceed my projects using iPython Notebook, I need to run some of my python scripts (tp. 7, Ubuntu 16. To access your server, enter. Jupyter Notebooks are often shared using github. Jupyter Python Notebook Keyboard Shortcuts and Text Snippets for Beginners Here are some of the keyboard shortcuts and text snippets I’ve shared with others during Pair Programming sessions that have been well received. load ( 'sim. Language independent: Jupyter Notebook is platform-independent because it is represented as JSON (JavaScript Object Notation) format, which is a language-independent, text-based file format. This is made difficult by the fact that Notebooks are not plain Python files, and thus cannot be imported by the regular Python machinery. If I ran Jupyter notebook from the myproject directory, I ended up with a ton of. Another reason is that the notebook can be processed by any programing language, and can be converted to any file formats such as Markdown, HTML, PDF, and others. Another python newbie here. It sets the workdir for the whole jupyter server. Integrate SAGE Jupyter Notebook in Anaconda Python Distribution. File and Output Formats¶. You'll need some test logs that could be visualized in tensorboard, unless you already have the output files. Jupyter Notebook is a locally installed application that runs in a web browser and provides a front-end to many different languages and interactive shells such as IPython. Config file and command line options¶ The notebook server can be run with a variety of command line arguments. If you’d like to learn spark in more detail, you can take our. Jupyter appliance The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and explanatory text. from sqlite3. When all the indexing processes are finished, you are ready to start working with the notebook files. We offer several ways to access Jupyter notebook: Jupyter notebook on a desktop or interactive node - Direct notebook. ipynb notebook document file into another static format including HTML, LaTeX, PDF, Markdown, reStructuredText, and more. Data files ¶ Jupyter uses a search path to find installable data files, such as kernelspecs and notebook extensions. You may already have this file, if so you can skip this step. もうすこし詳しく書くと、Jupyter Notebookの保存形式 ipynb の中身はjsonフォーマットです。これをPythonのimport文で読み込もうとすると、PythonがPythonの文法としてjsonフォーマットを解釈しようとします。. Jupyter Notebook Cheatsheet Tidy Display of Pandas Dataframes and Inline Images: from IPython. In the notebook they can see the code as well as the actual results of running the code. If you are new to Jupyter Notebook and do not know how to install in the local machine that I recommend you to check out my article Getting Started With Jupyter Notebook. pyecharts support show charts and export to some file formats in the Jupyter Notebook. py, as SASPy actually checks for sascfg_personal. Jupyter notebook snippets menu¶ Adds a customizable menu item to Jupyter notebooks to insert snippets, boilerplate, and examples of code. import ibm_db import ibm_db_sa import sqlalchemy %load_ext sql You now have the basics you need to connect to any local or cataloged DB2 database. We will use Python 3 and Jupyter Notebook to demonstrate the code in this tutorial. IPython 3 was the last major monolithic release containing both language-agnostic code, such as the IPython notebook , and language specific code, such as the IPython. It’d be great to interact with PySpark from a Jupyter Notebook. Defaults for these options can also be set by creating a file named jupyter_notebook_config. Once it's done that, changing the code in the file has no effect - Python isn't looking at it again unless you ask it to reload the file. Another reason is that the notebook can be processed by any programing language, and can be converted to any file formats such as Markdown, HTML, PDF, and others. In order to display plots inside the Jupyter notebook, run the following commands, preferably at the top of your notebook: In [5]: % matplotlib inline import matplotlib. Clone a project. This rewrite does not change the underlying Jupyter notebook file format. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more. The notebook web server can also be configured using Jupyter profiles and configuration files. py", line 10, in import sqlite3 File "C:\Anaconda\lib. Jupyter Notebook Document. For questions about installing and using Jupyter Notebook. Once the upload is complete, it will show in the directory. read_csv[/code] method. To start Jupyter Notebook with the. ast_node_interactivity = "all" # Show Python version import platform platform. Searching "oracle dmp file" I can see here that they are intended for use with Oracle, they must be a binary file and not a simple text file that could be opened. Jupyter should automatically migrate your notebook and qtconsole config to the new location if they exist. A tutorial introducing basic features of Jupyter notebooks and the IPython kernel using the classic Jupyter Notebook interface. You can see a list of your notebooks by clicking on the Notebook tab. Then select Upload. py file and restarting the notebook server. FAQ and Known Issues. Creating a startup script¶. Parameter tuning. Video on the topic: Jupyter Notebook tricks for advanced in 2019 In this article: How to suppress output. Importing Jupyter Notebooks into the project; Loading and running the notebook; The purpose of the notebook is to build a machine learning model to predict customer churn using a Jupyter Notebook. py", line 10, in import sqlite3 File "C:\Anaconda\lib. For those who are familiar with Jupyter notebooks and prefer a similar notebook format, Zepl includes the. Converting notebooks to other formats¶ Newly added in the 1. There are three main kernels: Installing Jupyter Notebook will automatically install the IPython kernel. Installation. Notebook name: The name displayed at the top of the page, next to the Jupyter logo, reflects the name of the. Installation of the drivers happens automatically in the Jupyter Notebook, so there's no need for you to manually download the files. docstring for my. pyspark profile, run: jupyter notebook --profile=pyspark. We install jupyter with the command. Jupyter lab is a browser-focused computational environment allowing you to write and execute Jupyter Notebooks, scripts, and even text files from a centralized interface. The Snowflake jdbc driver and the Spark connector must both be installed on your local machine. You’re going to have to convert your code into a package so that your Python app can use the ‘import’ command on your notebook. Traversing sage's symbolic expression trees in python. While Jupyter notebook has a built-in facility for multiple output formats, its use depends on OS platform and requirements on the output file. Video on the topic: Jupyter Notebook tricks for advanced in 2019 In this article: How to suppress output. ) Use the notebook or the notebook, both of which allow Cython code inline. The IPython notebook. It's time to write our first program using pyspark in a Jupyter notebook. jupyter/jupyter_notebook_config. They will exist in your directory as a JSON file with the extension. The Snowflake jdbc driver and the Spark connector must both be installed on your local machine. This video will show you steps to use jupyter for executing python code. In IPython 3, data files lived in ~/. How to Upload large files to Google Colab and remote Jupyter notebooks Photo by Thomas Kelley on Unsplash. Jupyter Notebook 데이터 시각화. yaml file to configure the behavior you like: posts: All you need to do is to add a posts field to the kyso. Install ipyext: Conda:. py file, you can type jupyter --config-dir , and if you don't find the file there, you can create it by typing jupyter notebook --generate-config. (If you don't know how to do that, I really do recommend going through the articles I linked in the " Before we start " section. Two versions of Wing are appropriate for use with this document: Wing Pro is the full-featured Python IDE for professional developers, and Wing Personal is a free alternative with reduced feature set. Hello Jupyter community. pip install import-ipynb 2) Import import_ipynb in jupyter notebook. For example, to create a PDF, simply write: jupyter nbconvert --to pdf notebook. Jupyter Notebook is an open-source web application that you can use to create and share documents that contain live code, equations, visualizations, and narrative text. Users sometimes share interesting ways of using the Jupyter Docker Stacks. I get this error:. Explore Popular Topics Like Government, Sports, Medicine, Fintech, Food, More. JUPYTER NOTEBOOK 이해하기 Moon Yong Joon 2. py the content of filename. Hi there, I am experiencing some troubles in letting jupyter use rdkit on Fedora 25 I installed Anaconda 4. Then click on the green Clone or download button. The commands that you run in this notebook are interpreted and executed by Python in the essentially same way that they would be in a IPython console. ipynb extension in a GitHub repository will be rendered as static HTML files when they are opened. In the notebook they can see the code as well as the actual results of running the code. How about sub-ing in Jupyter console or Jupyter Notebooks? -----Any change of this happening? And I don't mean attaching a notebook to a thread since it 'zips' the file, effectively making it useless. You can access functions. line 6, in from notebook. We can import the Matplotlib library using the following code. Jupyter Notebook files with. Then select Upload. I see that if I execute from terminal python and when it shows the prompt of python >> if I do import turicreate as tc then it imports correct turicreate, so I think that must have a problem with jupyter notebook installation, but I do not know how to solve it. Jupyter (formerly IPython) uses ZeroMQ to connect a client (like Hydrogen) to a running kernel (like IJulia or iTorch). { "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Introduction ", " ", "This notebook outlines how to build a recommendation system using. 2017-07-04 Jupyter Spark Andrew B. It’d be great to interact with PySpark from a Jupyter Notebook. Then select Upload. Jupyter Notebook 데이터 시각화. Jupyter notebooks are one way engineers can write and execute Python code. Here is a link from searching "jupyter notebook oracle",. While the notebook supports multiple languages, most often it is used with Python. First we import the. ) If using From Computer, drag and drop your. Notebook should have one Hypothesis-Data-Interpretation loop 2. Upload would allow you to import an existing Jupyter Notebook file (. ipynb) will be saved in your Downloads directory *** Opening and running the notebook on your computer **** Now that the file is on your computer, you should open the Jupyter notebook on your computer (jupyter notebook is the command). My use case is much narrower than what Joel describes. But evolution never stops and the source code of Jupyter notebook built on the web technologies of 2011 started to show its age. We are pleased to announce the release of Jupyter Notebook 5. The source code for an R Markdown notebook is an. Final results in your Jupyter Notebook look like this: Optional: Import, test, and debug your project in Scala IDE for Eclipse. py into my notebook, but without the ability to call SAGE methods: e. PixieDust is an extension to the Jupyter Notebook which adds a wide range of functionality to easily create customized visualizations from your data sets with little code involved. js visualization in a Jupyter Notebook. Note: By default, the Visual Studio Code Python extension will open a Jupyter Notebook (. A list of available options can be found below in the options section. ipynb extension. But for some reasons beyond my knowledge I wasn't able to run it. # To find out where the pyspark import findspark. In our data file, there are above 29,000 rows. Perhaps the most requested output is pdf format currently done in two-steps: html to latex to pdf 1. 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. Once you changed any function in functions. Additionally, you will see how to use Jupyter notebooks over SSH tunneling or SSL with with Let’s Encrypt. Defaults for these options can also be set by creating a file named jupyter_notebook_config. 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: