Convert H5 File To Csv Python

t is easy and fast-working converter for Excel files that can turn them into the following formats: CSV, XML, XLS, DOC, TXT, DBF. How can I convert a flat CSV file to a HDF5 file. Free online CSV to TSV converter. In Python we use csv. Here, we will show you how to read different types of csv files with different delimiter like quotes(""), pipe(|) and comma(,). Before you actually plot the CSV file in Python, you'll want to make sure you have all the necessary tools and create a test file. I used h5py in testing without any problems, but now I can't do the final dataset without running out of memory. Python script that converts a VCF or VCARD file into a CSV file. VCF files that contain more than 1 Vcard and. Python tips - How to easily convert a list to a string for display There are a few useful tips to convert a Python list (or any other iterable such as a tuple) to a string for display. mat?…. The input file can be a geodatabase table, feature class, shape file,. Opening the file as csv, just to read text is displayed like this: \xc2\xc5\xcb instead of ΒΕΛ. So I decided to use an old python script that converted CSV files to XLSX and make some modifications. You see an editor in which you can type the example code. Read the HDF5 file. There are lots of different ways to do it. Load TSV, get CSV. It’s easier for programs to parse text files compared to binary file types like excel docs and PDFs. Parsing TSV files with CSV in Python. For example Grid, Split and Hub Application templates for Windows 8. Get set Time to get the data ready for Transformer models. They're are small, easy to manage, and widely used throughout software development. csv using python. csv file with following data. If you closed your database in a clean way, you only need the. Recent in Python. Convert NNP variations to valid NNP; Convert ONNX to NNP; Convert NNP to ONNX; Convert NNP to NNB(Binary format for NNabla C Runtime) Convert NNP to Tensorflow frozen. Dafydd Gibbon, 2008-08-12. Sample code would be much appreciated,please help as i have stuck on it for last few days. GitHub Gist: instantly share code, notes, and snippets. This module is similar to the csv. We have a people. If you have any doubt, feel free to contact me at Twitter @gabrielpires or by e-mail eu…. 23758893/converting-hdf5-to-csv-or-tsv-files. You can also remove double quotes, line breaks, and field delimiters from you data. I am not a good programmer so facing lot of problem. csv files in a directory named data. A Python project to convert json to csv files. txt) Pickle file (. python import json # import csv import unicodecsv as csv with open ('input. During import of our features from the locally saved. The "H" in HDF5 stands for "hierarchical", so HDF5 data is actually tree-like. Following the norm, the Yelp dataset contains two csv files train. If you need to convert the file back from fixed columns, use the Convert fixed-width to CSV option in the CSV Convert drop down. There is no “CSV standard”, so the format is operationally defined by the many applications which read and write it. They're are small, easy to manage, and widely used throughout software development. Convert PDF with Python, including PDF to XML, Excel, CSV and HTML. Create a new text file in your favorite editor and give it a sensible name, for instance new_attendees. e CSV, which is used for working with CSV files. Python Forums on Bytes. View CSV File Contents. csv files to netCDF files. This may be more efficient. A CSV file is the most common way to store your data. Hi Team, I am working on below python script which task is "It will take whatever data present in a. The so-called CSV (Comma Separated Values) format is the most common import and export format for spreadsheets and databases. In Python we use csv. You can check the size of the directory and compare it with size of CSV compressed file. Load TSV, get CSV. Exporting Garmin. For example: import os os. For example a test csv file (23 columns, 1. csv files 2) In the. Can anyone help me how to write a KSH script to convert excel coming from source to. Corey Schafer 337,219 views. If you have any doubt, feel free to contact me at Twitter @gabrielpires or by e-mail eu…. csv on Mac. 0: The order of arguments for Series was changed. A Python project to convert json to csv files. Type the following code into the. UPDATE: now on GitHub. I am struggling with the part where the data needs to be imported into Python. Powershell is a pretty cool tool for many things including working with data. That’s pretty powerful. I'll show how you can convert such a file in all major programming languages. While the Excel Spreadsheet file format is complex (since it has to accommodate a lot more!), CSV is a simpler format representing just tabular data. A comma-separated values (csv) file is returned as two-dimensional data structure with labeled axes. txt using Python programming language under MS-Windows or Unix like operating systems? You can use either remove("/path/to/file") or unlink("/file/path") to remove (delete) the file path. You can probably reduce the time to ~60 seconds by writing a. Code to convert a file from XML to CSV using ElementTree in Python 3. I am trying to learn Python and started with this task of trying to import specific csv files in a given folder into a Python Data Type and then further processing the data. In this tutorial, you'll learn how to read data from a json file and convert it into csv/excel format. Using a Python recipe? Installing ActivePython is the easiest way to run your project. Then, with python pandas script, I manipulate those csv files. How to read most commonly used file formats in Data Science (using Python)? using. Numpy is a Python library. How to manually convert a CSV file to Excel in a few easy steps. Converting HDF5 to CSV Hierarchical Data Format 5 is a popular file format for storing and managing large amounts of data. xlsx) which gets updated periodically (by someone else). File type Wheel Python version py3 Upload date May 25, 2018 Hashes View hashes: Filename, size csv_to_xlsx-. by Scott Davidson (Last modified: 05 Dec 2018) Use Python to read and write comma-delimited files. It's quite fast, may be worth a look if there's an on-going need to convert large CSV files. python import json # import csv import unicodecsv as csv with open ('input. This article describes how to use the Convert to TSV module in Azure Machine Learning Studio, to convert any dataset from the internal format that is used by all Azure Machine Learning Studio modules, to a flat file in tab-separated format. The situation may arrive when you have a XLS file and you need to fill the database from. It can convert Excel, CSV, and other tabular data to RDF. Earlier is showed you how to use the Python CSV library to read and write to CSV files. Python 3: Writing to CSV files. I wanted to import some dummy data into Mongo-DB to test the aggregation functions. The following example shows how to convert a. There are no ads, popups or nonsense, just an awesome CSV to TSV converter. All fields are numeric and there is no header line. For this, we use the csv module. Hi all, I trained a classifier model using keras then I saved the weights of the model in a H5 file and the architecture in Json file. In this article, I’m going to share with you the easiest ways to work with these 3 popular data formats in Python! CSV Data. On the first column it contains a last name, on the second a first name and on the tenth column a telephone numbe. reader() module to read the csv file. DictReader methods to load data from CSV file. Now, the only way seems to be using SAS Unix command to convert the file. txt files there are line items with the value "NaN' and these lines with the entry "NaN" should be. The mission of the Python Software Foundation is to promote, protect, and advance the Python programming language, and to support and facilitate the growth of a diverse and international community of Python programmers. Parsing TSV files with CSV in Python. If you’re comfortable with some sort of command line, give SoX - Sound eXchange a try. The difference between the two method is the first method read the csv file use csv. In the downloadFile method we are calling ConvertToCSV method which converts the JSON to CSV. About H5 Files. JSON-CSV Desktop Edition has been working flawlessly for us. 4 Distribution. How to convert txt file to csv format with rows and columns? The file is the following format: account_number, 2,48. The Python API provides the module CSV and the function reader() that can be used to load CSV files. VCF files that contain more than 1 Vcard and. In this article, I will introduce the Python csv module and show you how to use it to read and write data to csv files. txt files, and I have to do this on python, If you have 'xpdf' installed in your system, 'pdftotext' command will be available in your system. Python CSV Tutorial | Reading and Writing CSV Files in Python is today's topic. A CSV file is the most common way to store your data. Python script to convert CSV files to Excel I spent much of my last weekend generating large flat files of denormalized data from various data sources, and then converting it to Excel spreadsheets for human consumption. we can write it to a file with the csv module. The quality will be maintained and its privacy guaranteed. 30,2014-04-28 07:01:04. The script writes to a "SongCSV. CSV to XML Converter. #!/usr/bin/env python import time…. So maybe there's a way to Open file and just save as, as opposed to appending row by row like in that code? How do you suggest I can go about doing this in Python. CSV is a file extension that can store comma separated numeric and alpha numeric data in simple text format. This is an Excel based VBA script used to import bulk. Importing large csv-files into mongodb. Here’s the sorry tale, in hopes of saving others from a similar fate. My questions are: If I have a. I used jupyter because of that it doesn't have function. This command is extremely fast and produces a properly formatted CSV file including the headers. I want to convert it into. In this tutorial, you'll learn how to read data from a json file and convert it into csv/excel format. Do you need to import a CSV file into Python? If so, in this post, I’ll show you the steps to import a CSV file into Python using pandas. If you want to import or export spreadsheets and databases for use in the Python interpreter, you must rely on the CSV module, or Comma Separated Values format. Import csv module. I have searched a lot on the internet, and I tried to write Python myself, but nothing works. Parse JSON - Convert from JSON to Python If you have a JSON string, you can parse it by using the json. I am trying to learn Python and started with this task of trying to import specific csv files in a given folder into a Python Data Type and then further processing the data. But it comes to seven logfiles, I am not able to do. To read csv file in Python, you need to know that a CSV file is represented as an observation known as a record. After the spreadsheet is converted to the CSV format, close Excel without saving and use a text editor like Notepad or Word to view its contents. The csv module helps you to elegantly process data stored within a CSV file. In this article, I'm going to share with you the easiest ways to work with these 3 popular data formats in Python! CSV Data. Parsing CSV Files With Python's Built-in CSV Library. For a 8 MB csv, when compressed, it generated a 636kb parquet file. This is a simple script that takes CSV files as input and copies their contents into a SQLite database. csv or python -m csv2vcf file. It will also cover a working example to show you how to read and write data to a CSV file in Python. You can just import it and it provides necessary functions to read and write csv files. csv') print (df). Python CSV Tutorial | Reading and Writing CSV Files in Python is today’s topic. CSV files are not closing when the python script completes. If the installer asks you about configuring it to run Python scripts from the command line, say yes. Converts a table to a CSV file. Use shutil. The output from the program is a csv file named mnist_train. Python Forums on Bytes. Just load your CSV and it will automatically get converted to TSV. python,replace,out-of-memory,large-files. Creating Large XML Files in Python. CSV, of course, stands for "Comma Separated Values", more often than not though, it seems that CSV files use tabs to separate values rather than commas. In the previous article covering working with Xlsx file in Python, we covered various methods of the openpyxl module of python to create, modify and analyse Xlsx files. It can convert Excel, CSV, and other tabular data to RDF. Each excel file is roughly 100k lines and the code takes about 3-5 minutes per file. Data tables are presented in Comma Delimited, CSV text file format. A CSV file is the most common way to store your data. I thought a nice source would be the tpc-h testdata which can generate arbitrary volumes of data from 1 GB to 100 GB. csv to HDF5 File (. I used openpyxl to create the Excel XLSX files, Docopt to make the CLI creation easy, and some built in core modules: csv, json, and random. YAML (YAML Ain't Markup Language) is a plain text file with a simple format for storing data. The CSV files comply with our CSV specification. Keep in mind that a CSV file can represent only a single worksheet of a spreadsheet. How to convert ods to csv It was big surprise for me that there are so many options to convert proprietary XLS to CSV, but there are nothing available to convert open source ODS to CSV easily. convert a text file to csv. How can you convert a csv file to JSON file? The CSV dataset in Dataiku is exposed to Python as a Pandas dataframe; I would try using the to_json() method from. How can I convert a flat CSV file to a HDF5 file. I have to read. csv and you will get a file containing data like below. writer() module to write data into csv files. The input file can be a geodatabase table, feature class, shape file,. import xlrd import unicodecsv def xls2csv (xls_filename, csv_filename): # Converts an Excel file to a CSV file. Designed to work out of the box with. # -*- coding: cp1250 -*- # xml2csv. csv to HDF5 File (. dtype attributes of datasets. h5 data into a numpy array and then print its shape. I have h5 files and validation files. I used h5py in testing without any problems, but now I can't do the final dataset without running out of memory. I used to convert it before using the following commands without any problem:. In this article we will discuss how to read a CSV file with different type of delimiters to a Dataframe. I got his information from this website. Python CSV Files: Reading and Writing - DZone Big Data / Big. python - Convert huge JSON file to csv file up vote -2 down vote favorite I have a HUGE json file want to transfer to csv. csv files Posted on August 19, 2012 March 28, 2013 by mrsoltys I'm new to owning a Garmin, but I wanted to do my own analysis on my heart rate data outside of Garmin's analysis. File format converter will realize Neural Network Libraries (or Console) workflow with ONNX file format, and also NNabla C Runtime. It is easier to export data as a csv dump from one system to another system. The result will be a Python dictionary. I applied a naming convention at the csv file creation: sheet_name + timestamp. I could manually ftp the excel file to local machine and convert it to csv. Exporting Garmin. Hi everybody, this is a simple snippet to help you convert you json file to a csv file using a Python script. CSV literally stands for comma separated variable, where the comma is what is known as a "delimiter. Exchanging information through text files is the standard way to share info between programs and one of the most popular formats for transferring data in the CSV format. The question is "PyQGIS: How to convert the CSV to point shape file using python" and you only use ogr, Python only without PyQGIS. File type Wheel Python version py3 Upload date May 25, 2018 Hashes View hashes: Filename, size csv_to_xlsx-. If you need to manipulate or analyze data, you may feel the need to convert PDF to CSV format. Load TSV, get CSV. Reading a csv file into a NumPy. Convert CSV to JSON with Python. Today, I am going to show you how to both import and export CSV files. Python Tutorial: CSV Module - How to Read, Parse, and Write CSV Files - Duration: 16:12. The difference between the two method is the first method read the csv file use csv. Exchanging information through text files is the standard way to share info between programs and one of the most popular formats for transferring data in the CSV format. LDF file (for example test. What I am trying to achieve is open a Microsoft Excel file and export one of the tabs of the MS Excel file to a CSV file. h5 files to csv or tsv. In this blogpost I show you my M-Python-function that I use to export data from Power BI to csv files (Export Python). Read here what the H5 file is, and what application you need to open or convert it. Start Excel, and then choose Data -> Get Data -> From File -> From XML. 100% free, secure and easy to use! Convertio — advanced online tool that solving any problems with any files. Already have an account?. If you database was not properly closed, you need the. All gists Back to GitHub. Each line of the file is a data record. Find and replace text or letters in a csv with python is simple, super fast, faster than any SQL stuff I’ve played with in the past, so — if you need to bulk process a CSV or TEXT file — python is a great direction because it’s easy to understand. So maybe there's a way to Open file and just save as, as opposed to appending row by row like in that code? How do you suggest I can go about doing this in Python. This part of the process, taking each row of csv and converting it into an XML element, went fairly smoothly thanks to the xml. Numpy is a Python library. convert images into pixel dataframe into csv file using python. csv files are specially formatted text files, not every. This is so then the data format stays consistent and in general, csv files. To make your file conversion a success, upload the XLS file, followed by choosing CSV as your output format and finally click on convert. Learn to work with CSV files in Python. SQLITEDB or *. I have 88 gdb files on Arcmap that I need to export to csv format. ##1## is the first value, ##2## the second value and so on. CSV literally stands for comma separated variable, where the comma is what is known as a "delimiter. py -- AlesK, 2009 # # Purpose: # simple python code snippet that shows how to use python minidom module # to convert export file produced by Oracle SQL Developer (Table->Export->to xml) # to csv format. learnpython) submitted 3 years ago * by loveandkindness The following code works great, but is painfully slow when scaled up!. csv' WITH CSV HEADER. In fact, you don't need PyQGIS or ArcPy, you can use Python only and there are alternatives to ogr, easier (Problem intersecting shapefiles with OGR in Python). In similar way, we can also write a new or edit existing csv files in Python. Shows how to convert a comma separated value (csv) string to a list of records, and then do some data processing. This message is intended for the recipient only and is not meant to be forwarded or distributed in any other format. How to Read CSV, JSON, and XLS Files. It is simple and easy process. I am looking for a sample code which can convert. In this article we will learn how to convert an Xlsx file to a CSV file using the openpyxl module and Python. import glob path_to_excel_files. io LEARN DATA SCIENCE ONLINE Start Learning For Free - www. When i use pandas to convert csv files to hdf5 files the resulting file is extremely large. I didn't see anything already there, and the scripts I found in the ESRI forums seemed needlessly complicated, so I wrote this little one and added it as a new script tool with two inputs of type File. shp?, except that I don't know how to handle polygons. fname,lname,born Graham,Chapman,8 January 1941 Eric,Idle,29 March 1943 Terry,Gilliam,22 November 1940 Terry,Jones,1 February 1942 John,Cleese,27 October 1939 Michael. csv files in a directory named data. How do you import a CSV file as a list of tuples? First time Google has failed me on a python issue. split method to split on every occurance of ',' and map every string to the strip method to remove any leading/trailing whitespace. For simple JSON data, keys will be headers for the CSV file and values the descriptive data. t is easy and fast-working converter for Excel files that can turn them into the following formats: CSV, XML, XLS, DOC, TXT, DBF. You’ll find that most of the data coming from Kaggle competitions is stored in this way. The output files will be listed in the "Conversion Results. The output CSV file has the option to be pipe or comma delimited. grib > temp. doc file can be simply transformed or export to CSV format. Default options suffice for the input described: $ csv2tsv file. If you're comfortable with some sort of command line, give SoX - Sound eXchange a try. Python script to move records from CSV File to a Dynamodb table python csvToDynamodb. Create your free Platform account to download our ready-to-use ActivePython or customize Python with any packages you require. We'll be using the following example CSV data files (all attendee names and emails were randomly generated): attendees1. The Python 3 csv-module instead requires you to open the file in text-mode with newline='', and it returns and expects Unicode strings. If anyone is still ever looking at this and are interested in scripting instead of batching, you can use the glob module in python to search through your directory that contains the. Python Forums on Bytes. Tech support scams are an industry-wide issue where scammers trick you into paying for unnecessary technical support services. Do not open it using Excel. Convert Pst To Csv File Codes and Scripts Downloads Free. csv using python. You'll find that most of the data coming from Kaggle competitions is stored in this way. This part of the process, taking each row of csv and converting it into an XML element, went fairly smoothly thanks to the xml. I found several codes using python but it is only for converting single files. Option -w time=1200 filters data for time = 12:00 only, typing grib_get_data for help. With each way, we use one of these module: xlwt , xlsxwriter , openpyxl and pandas. Create a new text file in your favorite editor and give it a sensible name, for instance new_attendees. In this article, we show how to plot a graph with matplotlib from data from a CSV file using the CSV module in Python. More generic ascii files can be read using the io package in scipy. Click on convert and your document will be converted within a few seconds. JSON-CSV Desktop Edition has been working flawlessly for us. OCR the pdf using python tesseract open source OCR if PDF is not readable 2. 1) Ue the Excel automation objects to open the CSV file with Excel and the to save the file in the. Reading different types of CSV files. csv file with following data. Also,I'm not sure whether itd be better to split up the resulting CSV, or just save it all to one file. This script will take in an arguement (your csv file) as sys. Overview: This project aims to convert a json file to a csv file The json files in general don't follow any particular schema This leads to some values being left blank as some documents may not contain that field While converting such files to comma separated files (csv), it is of utmost importance to consider filling up the null values with a. CSV format was used for many years prior to attempts to describe the format in a standardized way in RFC 41. This page provides examples on how to use the TensorFlow Lite converter using the Python API. XMLGenerator class. Best way to convert your CSV to TXT file in seconds. > I need to go through each logfile and find a string (externalsystemorderservice) and get that line with limited headers (date,time,s-computername,s-ip,time-taken) to csv file. This package is fully compatible with Python >=3. Python language contains the csv module which has classes to read and write data in the CSV format. I recently downloaded Code-Point® Open file from the Ordnance Survey , a CSV file that provides a precise geographic location for each postcode unit in Great Britain. Converting csv to xlsx with same formatting. Perhaps I’ll publish similar python script, where I’ll parse xml with sax module. xlsx) which gets updated periodically (by someone else). The easiest and simplest way to read CSV file in Python and to import its date into. Hi chihung, Thanks for your reply. Text Classification with Keras and TensorFlow Blog post is here. reader and csv. What is a CSV file? A CSV file is a type of plain text file that uses specific structuring to arrange tabular data. Parsing CSV Files with Python's DictReader I had an interview today (spoiler: I didn't get an offer), and one of the rounds of my interview involved refactoring some poorly written Python code. The quality will be maintained and its privacy guaranteed. DictReader methods to load data from CSV file. There are no ads, popups or nonsense, just an awesome TSV to CSV converter. Ignition has a built-in function to convert a dataset to CSV data called system. Using MATLAB to Convert Volumetric Data from. 4 Distribution. Need help in Python code. Earlier is showed you how to use the Python CSV library to read and write to CSV files. Python script to convert DBF database file to CSV. For simple JSON data, keys will be headers for the CSV file and values the descriptive data. Before importing the file, you need to prepare the following: A database table to which the data from the file will be imported. You can either clone his entire directory or just grab the files, we'll be using two of. Learn more. /hantek-csv-converter. There are a number of ways of reading these files in Python. csv or python -m csv2vcf file. Note: I have not solved this. While CSV does work, and I still use elements of it occasionally, you will find working with Pandas to be so much easier. Using a Python recipe? Installing ActivePython is the easiest way to run your project. csv files are specially formatted text files, not every. The corresponding writer functions are object methods that are accessed like DataFrame. I'll cover that at the end. CSV format was used for many years prior to attempts to describe the format in a standardized way in RFC 41. Specifies which converter the C engine should use for floating-point values. Updated February 2019. csv file as output. I trained a classifier model using keras then I saved the architecture of the model in a H5 file and the weights in Json file. This is stored in the same directory as the Python code. Import csv module. csvfile can be any object with a write() method. Opening the file as csv, just to read text is displayed like this: \xc2\xc5\xcb instead of ΒΕΛ. In python, we use csv. CSV is a file extension that can store comma separated numeric and alpha numeric data in simple text format. mat? And how can I load after that the model architecture with these files?. reader module to read a CSV file. CSV files, one for each table in the given database file. Choose File Encoding Enter. First you'll need to install pillow which is an easier to use API for the Python Imaging Library (PIL). Click "Convert" to convert your XLS file. 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: