Ipywidgets Dropdown

现在在处理函数处理程序中,我想将DropDown值设置回’Default’. pip install ipywidgets jupyter nbextension enable--py --sys-prefix widgetsnbextension. とするだけで十分だった。 使用例. More than 1 year has passed since last update. 1 ( ­a­function­to­a­column. This includes all tags, even experimental and info tags and tags that were overridden. 2Using Interact The interactfunction (ipywidgets. Versions latest stable Downloads pdf html epub On Read the Docs Project Home Builds. Click Folder to create a working folder. But there is even more! There are widgets — buttons, sliders, drop-down menus, and more — that allows interactive interactions and make your code even more fun. frm = IntSlider (value = 0, min = 0, max = len (atoms)-1) self. LineUp is an interactive technique designed to create, visualize and explore rankings of items based on a set of heterogeneous attributes. I’ve been playing around with dropdown widgets and they’re not working for me. -or- On the Data tab of the property sheet, click to open the Query Builder. Using altair and ipywidgets I built a quick and simple tool that helped me explore the data I was working on. We're unable to provide a concrete ETA right now though. They are extracted from open source Python projects. We have prepared for you a framework for visualizing the decision functions of different classifiers on different datasets. Recent versions of IPython notebook include a toolbar that allows to attach metadata to each cell, which can, for example, define its role in the presentation. The Manage add-ons screen loads. In some cases, the visual presentation might be different (Jupyter using a drop-down box while SageNB uses something like radio buttons). atoms = atoms: if isinstance (atoms [0], Atoms): if isinstance (atoms [0], Atoms): # Assume this is a trajectory or struct list: self. How to make IPython Notebook Widgets in Python with Plotly. Hi, just a quick addition with a simular issue: in the Python 2. Users gain control of their data and can visualize changes in the data. 7 version, there are no notebooks for menpofit 0. Dropdown( With Safari, you learn the way you learn best. For more details on using interact , see the official ipywidgets documentation. Hi, I’m trying to do something relatively simple: I want a drop-down menu so that I can visualize my time-series scatterplot for a single variable at the time (or in this context, the Tweets of news organizations one at…. If type is None, the type is inferred from the type of the value being passed, numeric (float or int type), boolean (bool type), widget (any widget object), or else text. They are extracted from open source Python projects. A screenshot of this in action, binding variables from ipywidgets Text() and interact() for use throughout the notebook is shown here: The python code required to make this happen is explained here:. If you can register your widgets using the `@register` decorator from ipywidgets, and then list the registered widget types from ipywidgets import register, DOMWidget, Widget @register('my. When you check or uncheck the box, we call the toggle() function, which determines what action we took - if it is checked, we disable the form field, and if it is unchecked, we enable the form field. display import display from. Click the file name Untitled. value显示为’Default’,DropDown仍然显示原始选择值(例如,’C’). By continuing to use Pastebin, you agree to our use of cookies as described in the Cookies Policy. The dashboards layout extension is an add-on for Jupyter Notebook. Hurricane Tracker with NHC Data¶. A screenshot of this in action, binding variables from ipywidgets Text() and interact() for use throughout the notebook is shown here: The python code required to make this happen is explained here:. They are extracted from open source Python projects. Widget and DOMWidget, not listed below, are base classes. Dropdown taken from open source projects. Python ipywidgets 模块, Dropdown() 实例源码. This notebook shows a bqplot example of an interactive linear regression. I cannot try your code so it is quite hard to know what is wrong but I would suggest you to use the widgets. See the below example, taken from Dominodatalab, on how an interactive widget looks like: You can check out a comprehensive guide to widgets here. If you are using lmfit. IPython widgets in a static html file? Is there a way to keep IPython interactive widgets when converting into a static html file? The only option I have found is ipywidgets, which is no longer supported. Use the display property to both hide and remove an element from the document layout!. interact) automatically creates user interface controls to explore code and data interactively. Complete list¶. --- title: ipywidgetsとBokeh使ってインタラクティブな可視化をする tags: Jupyter Python Bokeh ipywidgets author: driller slide: false --- # なぜ対話型なのか 何らかのパラメータが入ったグラフを出力したい場合、パラメータを変化させる度に確認する方法としては下記のような方法が考えられます。. py originally written by Unidata Intern Florita Rodriguez. How do I get the text value of a selected option? Select elements typically have two values that you want to access. Say we have a function, stats_for_article_published_between , that takes a start and end date and prints stats for all the articles published between them. The drop down below contains more than. > 1) If yes to 0) Whether ipywidgets is still alive Very much so, it is one of the most active and high priority parts of jupyter/ipython. Users gain control of their data and can visualize changes in the data. # TODO: reorg # simplify code from __future__ import absolute_import import time import json from IPython. Locate IPython Notebook Viewer for Confluence via search. Using Interact¶. Instead of rebuilding immediately, you can choose to postpone the rebuild to a more appropriate time by clicking the ‘Ignore’ button on the drop-down. Im using the Venture theme for my sho (under construction) and would like to add thumbnails to my main menu (with drop down) as seen in the themes demo view. The next argument to this function is the name of the command as it would be used in a script or can be seen in the Praat user interface. You can think of a widget as having two parts:. Here are the examples of the python api ipywidgets. graph_objects as go from ipywidgets import widgets We'll be making an application to take a look at delays from all flights out of NYC in the year 2013. By voting up you can indicate which examples are most useful and appropriate. The ipywidgets package provides many common user interface controls for exploring code and data interactively. interactivity and reproducibility in online publishing New tools for building interactive figures and software make scientific data more accessible, and reproducible. Making Sense of List Boxes. Widgets that are designed to work for any of the GUI backends. GitHub Gist: instantly share code, notes, and snippets. We'll be making an application to take a look at delays from all flights out of NYC in the year 2013. For example, I use widgets for creating simple UI for classifying images and creating a data set. For a complete list of the GUI widgets available to you, you can list the registered widget types. If you don't have access to MATLAB and if the examples don't run in GNU Octave for some reason, the value of these textbooks is reduced. 概要 OpenCV で各種画像処理を行うためには決めなければならないパラメータがいくつか出てくる。 Notebook 上でスライダーやプルダウンメニューを使えるようにする GUI ウィジェットである ipywidgets を組み合わせることで、画像処理の結果を確認しながら、パラメータを決めることができる。. Observe that the dashboard shows a dropdown near the right border of browser with an arrow beside the New button. I have a seemingly simple intention, just have a dropdown widget in jupyter notebook to trigger some simple action. display import display from ipywidgets import interactive from __future__ import division %matplotlib inline What I'd like to see: Two drop-down selection menus. Join Coursera for free and transform your career with degrees, certificates, Specializations, & MOOCs in data science, computer science, business, and dozens of other topics. This also breaks %sh, which is a macro that expands into Python code. You have seen how the checkbox and text widgets work above. Python New to Plotly?¶ Plotly's Python library is free and open source!. Github link to notebook: https://github. In fact, the HBox and VBox helpers used above are functions returning instances of the Box widget with specific options. Check out a preview at nbviewer. Notebooks come alive when interactive widgets are used. import datetime import numpy as np import pandas as pd import plotly. Considering astronomers are usually experienced scripting programmers (but less so in web development) and the fact that Python is one of the most common languages used today, we have created Vizic, a Jupyter-based interactive visualization tool, which is a Python package designed to work with the Jupyter Notebook App. Double click on the cell to enter editing mode (green frame) and input "# My notebook" ("#" is used in Markdown for header 1). The keys in the dictionary are used for the names in the dropdown menu UI and the values are the arguments that are passed to the underlying Python function. 0 July 27, 2017 Contents. ToggleButtons (options = list (sensors. Complete list¶. It's how I like to learn about new things. グラフの横軸、縦軸を調整する。 例えば、大きすぎる範囲なので、特定範囲を見せたい時とか、 pyplotの関数、xlim()とylim()を使う。. Change the format from Code to Markdown in the drop-down list above the cell. interact) automatically creates user interface (UI) controls for exploring code and data interactively. I copied the following code from the example on the plotly website. The legs give this piece a light, airy feel, while strong joinery keeps it stable and sturdy. > 1) If yes to 0) Whether ipywidgets is still alive Very much so, it is one of the most active and high priority parts of jupyter/ipython. import __all__ as __packageall. Clash Royale CLAN TAG#URR8PPP two way webservice communication REST G'day folks, So I have an application in mind with a client-server architecture where multiple clients are connected to a web service. You have seen how the checkbox and text widgets work above. widget_types At the time of writing, this gave me. bind/unbind interpreter from with in a notebook, not from the dropdown list under your login!!!. atoms = atoms: if isinstance (atoms [0], Atoms): if isinstance (atoms [0], Atoms): # Assume this is a trajectory or struct list: self. > 2) If yes to 1), is it stable or is major functionality likely to change > over, say, the next year. Installation; Using Interact; Simple Widget Introduction; Widget List. widgets has moved to ipywidgets. I have a case where one dropdown selection updates another, with the 2nd dropdown starting with a singular value of [" -"]. from ipywidgets import interact, Button, Dropdown, HBox from IPython. display import display from ipywidgets import interactive from __future__ import division %matplotlib inline What I'd like to see: Two drop-down selection menus. 650585","severity":"normal","status":"CONFIRMED","summary":"dev-lang\/python-exec-2. NVIDIAの非常に強力でエネルギー効率に優れたJetsonモジュールは、AIの最先端コンピューティングプラットフォームです。. class bs_ds. You can vote up the examples you like or vote down the ones you don't like. from ipywidgets import Button, Layout b = Button (description = '(50% width, 80px height) button', layout = Layout (width = '50%', height = '80px')) b The layout property can be shared between multiple widgets and assigned directly. selected_path and. Defaults to 27017. 29" }, "rows. { "packages": [ { "name": "0ad" }, { "name": "0ad-data" }, { "name": "0xffff" }, { "name": "2048-qt" }, { "name": "2ping" }, { "name": "2utf" }, { "name": "2vcard. Axes instance and pass that as the first arg. Even though you could, the goal of ipywidgets isn’t creating large and complex UI, rather it can be used for creating small interactive elements in your code. a dropdown menu, for example—the ipywidgets library executes user-defined Python functions on the Jupyter kernel and renders the result in the cell [8]. The ipywidgets. At Zymergen, we use Jupyter notebooks to quickly create user interfaces for rapidly developed tools. Many models that leverage data can be used to improve the descriptions of uncertainty for these two variables. lib import examples import geopandas as gpd import pandas as pd import numpy as np from pysal. But, this isn't the only way to create a dynamic chart allowing users to select data from a list. Cell magics just seem like one possible method of choosing which language to use, a menu such as what beaker uses seems alright too. How To Install Plotly In Jupyter Notebook. The appropriate app version appears in the search results. The list is from a previous output and could have a varying number of elements depending on the previous input. Package Index: G-L. choosing the kernel from the dropdown list), the mathtype is not rendered. Using Interact¶. Here, more details about the different abbreviations for sliders and dropdowns are given. They are extracted from open source Python projects. 2 – 有没有办法让Apache遵循标题内容类型的符号链接?. This example is only intended to be run in a Jupyter Notebook running a Python kernel as it displays the ability to use widgets and make an interactive plot. You have seen how the checkbox and text widgets work above. This is using the bqplot library which allows for the straightforward creation of plots with interactive elements. This is similar to your standard combobox on your operating system. By replacing Float with Int in the widget name, you can find the Integer equivalent. Python-Data Projeler — Ipywidgets Destekli Basit Veri Analizi. However, there is a big effort to introduce elements called ipywidgets, which renders fun and interactive controls on the Jupyter notebook. ", ShimWarning) Cargar la tabla de datos. bind/unbind interpreter from with in a notebook, not from the dropdown list under your login!!!. Few consideration about the data: ¶ The slices are significantly different from a plane to another: this is the first thing I noticed as a non-specialist. ipywidgets are interactive HTML widgets for Jupyter notebooks and the IPython kernel. You can select which metrics are displayed from the metrics dropdown. UCSC AstroComputing Seminar --- prototyping interactions with data, using `ipywidgets` and `bokeh`. value sensorW = widgets. #Installing ipywidgets with conda automatically enables the extension در ادامه نگاهی به برخی از ویجت‌ها انداخته می‌شود. Given a 1D array, negate all elements which are between 3 and 8, in place. IPython widgets in a static html file? Is there a way to keep IPython interactive widgets when converting into a static html file? The only option I have found is ipywidgets, which is no longer supported. You can reuse the IPython kernel machinery to handle the communications, and just describe how to execute your code. The Flexbox layout¶. 2 interact 简单交互二 lineup_widget 一 ipywidgets 文档:htt. Parameters: host (str) - The host name or address. This tutorial demonstrates how to use Jupyter to access data and make sense of data interactively using the Jupyter pyspark interpreter. Click the New drop down menu list, and you can select Python 3 menu item to create a executable python 3 notebook file. Read the Docs v: latest. When scaling the height to 2 in, the scaled width '%. display import display from. It sort of works, but following script actually seems to trigger the event three. Notebooks come alive when interactive widgets are used. Note that: To update the state of the widget, please refer to the set_widget_state() method. display import display slider = FloatSlider display (slider) In order to understand how a widget is displayed, one must understand how code is executed in the Notebook. Definition and Usage. Update Dropdown¶ The "update" method should be used when modifying the data and layout sections of the graph. A Shaolin Widget is an object that mimics the ipywidgets interface and adds additional functionality. NVIDIAの非常に強力でエネルギー効率に優れたJetsonモジュールは、AIの最先端コンピューティングプラットフォームです。. # TODO: reorg # simplify code from __future__ import absolute_import import time import json from IPython. They are extracted from open source Python projects. Interacts for the Sage Jupyter notebook ¶. Dropdown Note that a dropdown is used if a list or a list of tuples is given (signifying discrete choices), and a slider is used if a tuple is given (signifying a range). I have a seemingly simple intention, just have a dropdown widget in jupyter notebook to trigger some simple action. jsで描画し、 拡大したりスクロールしたり. When creating variables for use within Jupyter (iPython) notebooks you need two widgets, one for input, and another to bind the value of that input. You have seen how the checkbox and text widgets work above. A Shaolin Widget is an object that mimics the ipywidgets interface and adds additional functionality. In this post, we share code samples for developing IPython custom extensions, ipywidgets, and…. Widget and DOMWidget, not listed below, are base classes. We have prepared for you a framework for visualizing the decision functions of different classifiers on different datasets. Notebooks come alive when interactive widgets are used. widget_types At the time of writing, this gave me. There is another package of widgets, called ipywidgets, that has all of the standard controls that you might want to use, with many optional parameters available to customize your display. This manuscript describes a GenePattern Notebook implementing a standard analysis pipeline for single-cell RNA sequencing data. The appropriate app version appears in the search results. """ import nibabel as nib import matplotlib. Bokeh lets users enable this feature by exposing an OpenURL callback object that can be passed to a Tap tool in order to have that action called whenever the users clicks on the glyph. After the initial creation of a dropdown widget when i assign a new set of options the view does not update. " ], "text/plain": [ " geometry tweet_count ", "LSOA11CD ", "E01006633 POLYGON ((335944. To get more from the IPywidgets library, we can make the widgets ourselves and use them int the interact function. This example demonstrates how to update which traces are displayed while simulaneously updating layout attributes such as the chart title and annotations. 1-Oct-2019-PM : Search For Build An Easel. Python ipywidgets 模块, Dropdown() 实例源码. Dropdown Note that a dropdown is used if a list or a list of tuples is given (signifying discrete choices), and a slider is used if a tuple is given (signifying a range). All of these widgets require you to predefine a matplotlib. Another new tab will open which is your Notebook. io # Use IPython widgets for interacting import. Sat, 14 Sep 2019 04:59:07 GMT academic/Gridcoin-Research: Updated for version 4. Users gain control of their data and can visualize changes in the data. The ipywidgets package provides many common user interface controls for exploring code and data interactively. ipywidgets are interactive HTML widgets for Jupyter notebooks and the IPython kernel. Release v0. --- title: ipywidgetsとBokeh使ってインタラクティブな可視化をする tags: Jupyter Python Bokeh ipywidgets author: driller slide: false --- # なぜ対話型なのか 何らかのパラメータが入ったグラフを出力したい場合、パラメータを変化させる度に確認する方法としては下記のような方法が考えられます。. In fact, the HBox and VBox helpers used above are functions returning instances of the Box widget with specific options. To get more from the IPywidgets library, we can make the widgets ourselves and use them int the interact function. See the below example, taken from Dominodatalab, on how an interactive widget looks like: You can check out a comprehensive guide to widgets here. A simple dropdown widget: blaze-simple-widgets. import ipywidgets as widgets from traitlets import Unicode from traitlets import default from traitlets import List. com/profile/01477408942876127202 [email protected] -or- Type an SQL statement. 2f' is large than 8" % (width / fontscale), UserWarning). For example, I use widgets for creating simple UI for classifying images and creating a data set. All of these widgets require you to predefine a matplotlib. The following are code examples for showing how to use ipywidgets. Projects 0 Wiki Security Insights Branch: master. To me it was just like a combo box, but it stayed open all the time and there was no place for the user to type. import datetime import numpy as np import pandas as pd import plotly. {"bugs":[{"bugid":681660,"firstseen":"2019-03-24T13:50:00. These input widgets are notebook-level entities. 2 interact 简单交互二 lineup_widget 一 ipywidgets 文档:htt. Keyboard Shortcuts – Save time and become even more productive!. Complete list¶. This also breaks %sh, which is a macro that expands into Python code. Applied math, Python and Plotly lover. "Various ways of querying a DataFrame and plotting the results using ipywidgets and declarative widgets. 13 ipywidgets dropdown widgets: what is the onchange event? 12 Troubleshooting "descriptor 'date' requires a 'datetime. bs_ds module¶. This doesn't run for me at all, only the drop down appears, but no graph. Even though you could, the goal of ipywidgets isn’t creating large and complex UI, rather it can be used for creating small interactive elements in your code. Multiple selection with checkboxes and search field. type (string) - Type of cell, options are: text, numeric, checkbox, dropdown, numeric, date, widget. That is a nice trick to learn. graph_objs as go from plotly. To me it was just like a combo box, but it stayed open all the time and there was no place for the user to type. User Guide. They are extracted from open source Python projects. This is a list of all source packages that have at least one lintian tag. Here is the code for the dynamic service. One of the things that my group does is help people make use of Sheffield's High Performance Computing cluster, Iceberg. One potential issue is that SageNB supports all kinds of numbers ( Integer , RealNumber , Rational , ) for sliders while Jupyter only supports int and float. As with all learning environments operated by schools, colleges, universities and other learning providers, the FutureLearn. By voting up you can indicate which examples are most useful and appropriate. The following are code examples for showing how to use ipywidgets. import ipywidgets as widgets from traitlets import Unicode from traitlets import default from traitlets import List. Jupyter notebook交互输入方法(ipywidgets控件),包括文本框text input box,按钮button等 例如widgets. Courtesy Towards Data Science by Will Koehrsen. A screenshot of this in action, binding variables from ipywidgets Text() and interact() for use throughout the notebook is shown here: The python code required to make this happen is explained here:. This is the second post in a series on Introduction To Spark. When you check or uncheck the box, we call the toggle() function, which determines what action we took - if it is checked, we disable the form field, and if it is unchecked, we enable the form field. This opens a jupyter notebook with sagemath kernel. - basic_widget_usage. index[keyword=colname] returns the fit encoder object for that column. IPyWidgets in the Jupyter Notebook. What we are doing is feeding the function the ID of the checkbox field, and the ID of the form field we want to disable. #Installing ipywidgets with conda automatically enables the extension در ادامه نگاهی به برخی از ویجت‌ها انداخته می‌شود. Installing with pip. contiguity import Queen from pysal. In a typical usage, the user is asked to pick an option that are either pre-defined by developer, or. This allows you to explore your DataFrames with intuitive scrolling, sorting, and filtering controls, as well as edit your DataFrames by double clicking cells. Is there a centralized list of Ipython widgets where people could register and make accessible/visible their custom widgets? 'IPython. If you want a dropdown menu that passes non-string values to the Python function, you can pass a dictionary. " ], "text/plain": [ " geometry tweet_count ", "LSOA11CD ", "E01006633 POLYGON ((335944. Often, you want the user to choose n options (where n is small-ish) from a very large (hundreds or thousands) number of possibilities. """Widgets that visualise volume images in. I can get a properly functioning sage notebook by entering: sage -n ipython in terminal, but when starting the notebook from my standard jupyter environment (i. Based on these core elements, several 2D and 3D dynamic data visualization projects (e. GitHub Gist: instantly share code, notes, and snippets. One of my favorite widgets is the DatePicker. filter_obj = True f. For a complete list of the GUI widgets available to you, you can list the registered widget types. 1-Oct-2019-PM : Search For Build An Easel. Here, more details about the different abbreviations for sliders and dropdowns are given. # The first selection is a drop-down menu for number of cylinders cylSelect = widgets. In a typical usage, the user is asked to pick an option that are either pre-defined by developer, or. If you want a dropdown menu that passes non-string values to the Python function, you can pass a dictionary. Complete list¶. python-pptx¶. on_clickにハンドラを登録することはできますが、ドロップダウンウィジェットに対して同じことをする方法がわかりませんimport ipywidgets as widgets from IPython. Many models that leverage data can be used to improve the descriptions of uncertainty for these two variables. Update Dropdown¶ The "update" method should be used when modifying the data and layout sections of the graph. This example is only intended to be run in a Jupyter Notebook running a Python kernel as it displays the ability to use widgets and make an interactive plot. Dropdown (options = sensors [init], description = 'Sensors') # Create buttons for start and end dates. Using Interact¶. ipywidgets are interactive HTML widgets for Jupyter notebooks and the IPython kernel. They are extracted from open source Python projects. A beautiful, Build An Easel for your home. I work at The University of Sheffield where I am one of the leaders of the new Research Software Engineering function. show_asetraj (atoms) self. There is another package of widgets, called ipywidgets, that has all of the standard controls that you might want to use, with many optional parameters This website uses cookies to ensure you get the best experience on our website. When you install a conflicting version of a library, such as ipython, ipywidgets, numpy, scipy, or pandas to the PYTHONPATH, then the Python REPL can break, causing all commands to return Cancelled after 30 seconds. Issues 385. The new layout templates of ipywidgets wrap the CSS properties with a pythonic interface and sensible defaults, so they never expose the user to the nasty CSS spec. Navigation. Here the plot shows the average waiting time by hospitals, while the ipywidgets here simply add a dropdown menu that you can change the color of the plot interactively. In the drop down menu below you can choose between the different options of x_y_relation and get a scatter plot of the combined X and, if the interaction version is chosen, interaction terms of X plotted on the y values. com/markjay4k/. By default, ipywidgets are installed in Anaconda or you can also install it manually with conda. from ipywidgets import FloatSlider from IPython. storyboard, control+click on the button and drag. "Listen" to state changes (with observe) • Callback function has only one parameter of type dictionary containing the change description 4 {'owner': ,. • Created an interactive U. "Various ways of querying a DataFrame and plotting the results using ipywidgets and declarative widgets. " ], "text/plain": [ " geometry tweet_count ", "LSOA11CD ", "E01006633 POLYGON ((335944. Computer Science && Computer Graphics && Altera DEADC0DE http://www. All of these widgets require you to predefine a matplotlib. LineUp is an interactive technique designed to create, visualize and explore rankings of items based on a set of heterogeneous attributes. display import clear_output. ", "$\\renewcommand{\\vec}{\\boldsymbol}$ ", "$\ ewcommand{\\erf}{\\mathop{\\rm erf}\ olimits}$ ", "$\ ewcommand{\\mod}{\\mathop{\\rm mod}\ olimits}$ ", ". The Flexbox layout¶. I don't care about that. A new tab should appear in your default browser listing the files in the selected folder. 1 and using the still available 0. Explore Channels Plugins & Tools Pro Login About Us. Tkinter supports dropdown menus. It allows you to store customised code snippets that can be readily accessed and entered into notebook cells using a quick drop-down menu selection method. The legs give this piece a light, airy feel, while strong joinery keeps it stable and sturdy. But there is even more! There are widgets — buttons, sliders, drop-down menus, and more — that allows interactive interactions and make your code even more fun. At Zymergen, we use Jupyter notebooks to quickly create user interfaces for rapidly developed tools. Here the plot show the average waiting time by hospitals, while the ipywidgets here simply add a dropdown menu that you can change the color of the plot interactively. com), 专注于IT课程的研发和培训,课程分为:实战课程、 免费教程、中文文档、博客和在线工具 形成了五. Jupyter widgets is the easy to make python apps. This also breaks %sh, which is a macro that expands into Python code. Classifier Comparison¶. % matplotlib inline # import matplotlib and numpy import matplotlib. We then define a function that will be invoked whenever one of the buttons is clicked. Get unlimited access to videos, live online training, learning paths, books, interactive tutorials, and more. The ipywidgets package provides many common user interface controls for exploring code and data interactively. This opens a jupyter notebook with sagemath kernel. Model and the NaN values come from your data array and are meant to indicate missing values, or if you using lmfit. { "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# II - Accessing Astronomical Data From Python ", " ", "## 0. 0, the language-agnostic parts of the project: the notebook format, message protocol, qtconsole, notebook web application, etc. Each UI element in the library can respond to events and invokes specified event handler functions. This doesn't run for me at all, only the drop down appears, but no graph. By continuing to use Pastebin, you agree to our use of cookies as described in the Cookies Policy. You can vote up the examples you like or vote down the ones you don't like. pyplot as plt from pysal. pyplot as plt import numpy as np from ipywidgets import interact, fixed, IntSlider import ipywidgets as widgets import inspect import scipy. import io import os import base64 import collections import ipywidgets as ipy from pip. Hurricane Tracker with NHC Data¶. GenePattern notebooks allow a user to access python libraries for data analysis through a simple GUI--dropdown menus, text fields, and sliders are used to provide inputs to python functions that get run under the hood. Notebooks come alive when interactive widgets are used. However, unfortunately, interaction commands and widgets (slider, select, dropdown) are not fully compatible: under Jupyter I must use ipywidgets, but then the code is not compatible with SageMath, if I want to make it available in SageMathCloud or SageMathCell. The new layout templates of ipywidgets wrap the CSS properties with a pythonic interface and sensible defaults, so they never expose the user to the nasty CSS spec. This is similar to your standard combobox on your operating system. Learn how to create alert, prompt and confirm dialog boxes using JavaScript along with syntax, example code and how it looks on a browser. For adusting the width of the dropdown, you can explicitly set the width, or you can set width to initial, which right now makes it expand to the width of the output: from ipywidgets import * Dropdown( layout = { ' width ' : ' initial ' }, options = [ ' very very very very very very very very very very very very very very long option. OK, I Understand. A quick post to note a couple of tricks for generating simple interactive controls that let you manipulate the display of a pandas dataframe in a Jupyter notebook using IPython widgets. 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: