DatePickerSingle | Dash for R Documentation (2022)

dccDatePickerSingle is a component for rendering a calendar from which the user can select a date.

You can use either strings in the form YYYY-MM-DD or date objects from the datetime module to provide dates to Dash components. Strings are preferred because that’s the form dates take as callback arguments. If you are using date objects, we recommend using datetime.date so there is no time part. dccDatePickerSingle accepts dates with a time part, but this can be confusing, particularly for the initial call of a callback. After the user chooses a new date, there will be no time part—only the date. If you already have a object, you can convert it with

Month and Display Format

The month_format property determines how calendar headers are displayed when the calendar is opened.
The display_format property determines how selected dates are displayed in the dccDatePickerSingle component.

Both of these properties are configured through strings that use a combination of any of the following tokens.

String TokenExampleDescription
YYYY20144 or 2 digit year
YY142 digit year
Y-25Year with any number of digits and sign
Q1..4Quarter of year. Sets month to first month in quarter.
M MM1..12Month number
MMM MMMMJan..DecemberMonth name
D DD1..31Day of month
Do1st..31stDay of month with ordinal
DDD DDDD1..365Day of year
X1410715640.579Unix timestamp
x1410715640579Unix ms timestamp

Examples

Find a few usage examples below.

Simple DatePickerSingle Example

This is a simple example of a dccDatePickerSingle component tied to a callback.

The min_date_allowed and max_date_allowed properties define the minimum and maximum selectable dates on the calendar while initial_visible_month defines the calendar month that is first displayed when the dccDatePickerSingle component is opened.

This example has not been ported to R yet - showing the Python version instead.

Visit the old docs site for R at: https://community.plotly.com/c/dash/r/21

from datetime import datefrom dash import Dash, html, dccfrom dash.dependencies import Input, Outputapp = Dash(__name__)app.layout = html.Div([ dcc.DatePickerSingle( id='my-date-picker-single', min_date_allowed=date(1995, 8, 5), max_date_allowed=date(2017, 9, 19), initial_visible_month=date(2017, 8, 5), date=date(2017, 8, 25) ), html.Div(id='output-container-date-picker-single')])@app.callback( Output('output-container-date-picker-single', 'children'), Input('my-date-picker-single', 'date'))def update_output(date_value): string_prefix = 'You have selected: ' if date_value is not None: date_object = date.fromisoformat(date_value) date_string = date_object.strftime('%B %d, %Y') return string_prefix + date_stringif __name__ == '__main__': app.run_server(debug=True)

Month Format Examples

You can set month_format to any permutation of the string tokens shown in Month and Display Format above to change how calendar titles are displayed in the dccDatePickerSingle component.

This example has not been ported to R yet - showing the Python version instead.

Visit the old docs site for R at: https://community.plotly.com/c/dash/r/21

from dash import dccfrom datetime import datedcc.DatePickerSingle( month_format='MMM Do, YY', placeholder='MMM Do, YY', date=date(2017, 6, 21))

This example has not been ported to R yet - showing the Python version instead.

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Visit the old docs site for R at: https://community.plotly.com/c/dash/r/21

from dash import dccfrom datetime import datedcc.DatePickerSingle( month_format='M-D-Y-Q', placeholder='M-D-Y-Q', date=date(2017, 6, 21))
from dash import dccfrom datetime import datedcc.DatePickerSingle( month_format='MMMM Y', placeholder='MMMM Y', date=date(2020, 2, 29))

This example has not been ported to R yet - showing the Python version instead.

Visit the old docs site for R at: https://community.plotly.com/c/dash/r/21

from dash import dccfrom datetime import datedcc.DatePickerSingle( month_format='X', placeholder='X', date=date(2017, 6, 21))

Display Format Examples

You can use any permutation of the string tokens shown in Month and Display Format above to change how selected dates are displayed in the dccDatePickerSingle component.

This example has not been ported to R yet - showing the Python version instead.

Visit the old docs site for R at: https://community.plotly.com/c/dash/r/21

from dash import dccdcc.DatePickerSingle( date='2017-06-21', display_format='MMM Do, YY')

This example has not been ported to R yet - showing the Python version instead.

Visit the old docs site for R at: https://community.plotly.com/c/dash/r/21

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from dash import dccfrom datetime import datedcc.DatePickerSingle( date=date(2017, 6, 21), display_format='M-D-Y-Q',)

This example has not been ported to R yet - showing the Python version instead.

Visit the old docs site for R at: https://community.plotly.com/c/dash/r/21

from dash import dccfrom datetime import datedcc.DatePickerSingle( date=date(2017, 6, 21), display_format='MMMM Y, DD')

This example has not been ported to R yet - showing the Python version instead.

Visit the old docs site for R at: https://community.plotly.com/c/dash/r/21

Vertical Calendar and Placeholder Text

The dccDatePickerSingle component can be rendered in two orientations, either horizontally or vertically. If calendar_orientation is set to 'vertical', it will be rendered vertically and will default to 'horizontal' if not defined.

The placeholder defines the grey default text defined in the calendar input boxes when no date is selected.

This example has not been ported to R yet - showing the Python version instead.

Visit the old docs site for R at: https://community.plotly.com/c/dash/r/21

from dash import dccfrom datetime import datedcc.DatePickerSingle( calendar_orientation='vertical', placeholder='Select a date', date=date(2017, 6, 21))

Calendar Clear and Portals

When the clearable property is set to the component will be rendered with a small x that will remove all selected dates when selected.

The dccDatePickerSingle component supports two different portal types, one being a full screen portal (with_full_screen_portal) and another being a simple screen overlay, like the one shown below (with_portal).

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This example has not been ported to R yet - showing the Python version instead.

Visit the old docs site for R at: https://community.plotly.com/c/dash/r/21

from dash import dccfrom datetime import datedcc.DatePickerSingle( clearable=True, with_portal=True, date=date(2017, 6, 21))

Right To Left Calendars and First Day of Week

When the is_RTL property is set to the calendar will be rendered from right to left.

The first_day_of_week property allows you to define which day of the week will be set as the first day of the week. In the example below, Tuesday is the first day of the week.

This example has not been ported to R yet - showing the Python version instead.

Visit the old docs site for R at: https://community.plotly.com/c/dash/r/21

from dash import dccfrom datetime import datedcc.DatePickerSingle( is_RTL=True, first_day_of_week=3, date=date(2017, 6, 21))

DatePickerSingle Properties

Our recommended IDE for writing Dash apps is Dash Enterprise’s
Data Science Workspaces,
which has typeahead support for Dash Component Properties.
Find out if your company is usingDash Enterprise.

date (character; optional):
Specifies the starting date for the component, best practice is to
pass value via datetime object.

min_date_allowed (character; optional):
Specifies the lowest selectable date for the component. Accepts
datetime.datetime objects or strings in the format ‘YYYY-MM-DD’.

max_date_allowed (character; optional):
Specifies the highest selectable date for the component. Accepts
datetime.datetime objects or strings in the format ‘YYYY-MM-DD’.

disabled_days (unnamed list of characters; optional):
Specifies additional days between min_date_allowed and
max_date_allowed that should be disabled. Accepted datetime.datetime
objects or strings in the format ‘YYYY-MM-DD’.

placeholder (character; optional):
Text that will be displayed in the input box of the date picker when
no date is selected. Default value is ‘Start Date’.

initial_visible_month (character; optional):
Specifies the month that is initially presented when the user opens
the calendar. Accepts datetime.datetime objects or strings in the
format ‘YYYY-MM-DD’.

clearable (logical; default FALSE):
Whether or not the dropdown is “clearable”, that is, whether or not a
small “x” appears on the right of the dropdown that removes the
selected value.

reopen_calendar_on_clear (logical; default FALSE):
If True, the calendar will automatically open when cleared.

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display_format (character; optional):
Specifies the format that the selected dates will be displayed valid
formats are variations of “MM YY DD”. For example: “MM YY DD” renders
as ‘05 10 97’ for May 10th 1997 “MMMM, YY” renders as ‘May, 1997’ for
May 10th 1997 “M, D, YYYY” renders as ‘07, 10, 1997’ for September
10th 1997 “MMMM” renders as ‘May’ for May 10 1997.

month_format (character; optional):
Specifies the format that the month will be displayed in the calendar,
valid formats are variations of “MM YY”. For example: “MM YY” renders
as ‘05 97’ for May 1997 “MMMM, YYYY” renders as ‘May, 1997’ for May
1997 “MMM, YY” renders as ‘Sep, 97’ for September 1997.

first_day_of_week (a value equal to: 0, 1, 2, 3, 4, 5 or 6; default 0):
Specifies what day is the first day of the week, values must be from
[0, …, 6] with 0 denoting Sunday and 6 denoting Saturday.

show_outside_days (logical; default TRUE):
If True the calendar will display days that rollover into the next
month.

stay_open_on_select (logical; default FALSE):
If True the calendar will not close when the user has selected a value
and will wait until the user clicks off the calendar.

calendar_orientation (a value equal to: ‘vertical’ or ‘horizontal’; default 'horizontal'):
Orientation of calendar, either vertical or horizontal. Valid options
are ‘vertical’ or ‘horizontal’.

number_of_months_shown (numeric; default 1):
Number of calendar months that are shown when calendar is opened.

with_portal (logical; default FALSE):
If True, calendar will open in a screen overlay portal, not supported
on vertical calendar.

with_full_screen_portal (logical; default FALSE):
If True, calendar will open in a full screen overlay portal, will take
precedent over ‘withPortal’ if both are set to True, not supported on
vertical calendar.

day_size (numeric; default 39):
Size of rendered calendar days, higher number means bigger day size
and larger calendar overall.

is_RTL (logical; default FALSE):
Determines whether the calendar and days operate from left to right or
from right to left.

disabled (logical; default FALSE):
If True, no dates can be selected.

style (named list; optional):
CSS styles appended to wrapper div.

className (character; optional):
Appends a CSS class to the wrapper div component.

id (character; optional):
The ID of this component, used to identify dash components in
callbacks. The ID needs to be unique across all of the components in
an app.

loading_state (named list; optional):
Object that holds the loading state object coming from dash-renderer.

loading_state is a named list with keys:

  • component_name (character; optional):
    Holds the name of the component that is loading.

  • is_loading (logical; optional):
    Determines if the component is loading or not.

  • prop_name (character; optional):
    Holds which property is loading.

persistence (logical | character | numeric; optional):
Used to allow user interactions in this component to be persisted when
the component - or the page - is refreshed. If persisted is truthy
and hasn’t changed from its previous value, a date that the user has
changed while using the app will keep that change, as long as the new
date also matches what was given originally. Used in conjunction
with persistence_type.

persisted_props (unnamed list of values equal to: ‘date’; default ['date']):
Properties whose user interactions will persist after refreshing the
component or the page. Since only date is allowed this prop can
normally be ignored.

persistence_type (a value equal to: ‘local’, ‘session’ or ‘memory’; default 'local'):
Where persisted user changes will be stored: memory: only kept in
memory, reset on page refresh. local: window.localStorage, data is
kept after the browser quit. session: window.sessionStorage, data is
cleared once the browser quit.

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Streamlit is more structured and focused more on simplicity. It only supports Python-based data analysis and has a limited set of widgets (for example, sliders) to choose from. Dash is more adaptable.

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Plotly Express is a better option for your EDA than Seaborn.

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17, 2022 (GLOBE NEWSWIRE) -- Plotly has released Dash Enterprise 5.0, the leading low-code platform for building, scaling, and deploying Python data apps.

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Plotly Dash is a reasonably new framework for building machine learning and data science applications. Dash was created by parent company Plotly, who are already well established within the world of data science, due to their 'plotly.py' and 'plotly. js' Python and JavaScript graphing libraries.

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Use dashes to mark the beginning and end of a series, which might otherwise get confused, with the rest of the sentence: Example: The three female characters—the wife, the nun, and the jockey—are the incarnation of excellence. Dashes are also used to mark the interruption of a sentence in dialogue: Example: “Help!

Is R Shiny free? ›

It's free, open source, and available from GitHub. Shiny Server is a server program that Linux servers can run to host a Shiny app as a web page.

Can Streamlit replace Flask? ›

Use Streamlit as your Web application base when security is not needed. If you need security from your Web application, use Flask, FastAPI, or Django packages. I am refactoring Flask-based applications into Streamlit-based applications.

Is Shiny better than tableau? ›

While both the products offer good speed and efficient data processing, R Shiny is easier when it comes to repeatability and scalability. In Tableau, when a dashboard is deleted or decommissioned, it has to be created from scratch.

Is R Shiny hard to learn? ›

Along with Shiny elements, you can use HTML elements to stylize your content in your application. In my opinion, R Shiny is very easy to learn despite how powerful the tool is. If you're working on a side project or looking to add something to your portfolio, I highly recommend trying it out.

Who uses R Shiny? ›

What do Viacom, Ubisoft, and Bank of America have in common? Hint: they are Fortune 500 companies with R Shiny in their tech stack. It's also no coincidence that they are all using open source packages for Shiny app development created at Appsilon.

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We've intentionally designed Shiny's API so that you can from shiny import * to get access to most of what you need for most apps without introducing an excessive amount of namespace pollution. Namely, it gives you: User interface (UI/HTML) helpers, available via the ui subpackage.

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Tableau is great for analysing an existing data set, but it is pretty weak at actually calculating things based on user input. Dash is great for that. You have to write code for Dash but that means you can do almost anything with it.

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Through a couple of simple patterns, Dash abstracts away all of the technologies and protocols that are required to build a full-stack web app with interactive data visualization. Dash is simple enough that you can bind a user interface to your code in less than 10 minutes.

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Dash is a web application framework that provides pure R and Python abstraction around HTML, CSS, and JavaScript. Instead of writing HTML or using an HTML templating engine, you compose your layout using R functions within the dashHtmlComponents package.

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A Div component. Div is a wrapper for the <div> HTML5 element. For detailed attribute info see: https://developer.mozilla.org/en-US/docs/Web/HTML/Element/div. Access this documentation in your Python terminal with: >>> help(dash.html.Div)

Is General Assembly dash free? ›

Dash is a fun and free online course that teaches you the basics of web development through projects you can do in your browser.

Do companies use Streamlit? ›

13 companies reportedly use Streamlit in their tech stacks, including LMS, Melio Consulting, and aepsy.

What are the limitations of Streamlit? ›

The downsides of Streamlit are its lack of design flexibility and control over your application layout. If your application and/or dataset is large, you will likely run into speed issues due to the application flow — with the entire source code being re-run on every new change or interaction.

Can I use Streamlit for production? ›

Therefore, the best option for the data scientists is to use Streamlit for creating interactive web applications and deploying them into the production environment as they only need to: Have a basic Python knowledge. Know how to write scripts for performing specific tasks.

What programming language is dash? ›

DASH is a C++ Template Library for Distributed Data Structures with Support for Hierarchical Locality for HPC and Data-Driven Science.

Is an en dash? ›

An en dash is a punctuation mark that is typically used to express ranges or to clarify more complex compound words. An en dash resembles a hyphen (-) but is slightly longer (–). Most keyboards don't have a key reserved for the en dash. It usually needs to be added as a special character on most writing programs.

What is an M dash in writing? ›

An em dash is a punctuation mark that can be used to replace commas, parentheses, colons, and semicolons. In general, the em dash is seen as being more interruptive or striking than other punctuation, so it is often used stylistically to draw a reader's attention to a particular bit of information.

Why C is not a high level language? ›

C is called middle-level language because it is actually bind the gap between a machine level language and high-level languages. C is a middle level language. because by using C we can improve the program as well as system efficiency.

What is the meaning of R code? ›

The R programming language is an open source scripting language for predictive analytics and data visualization.

What language uses mnemonic codes? ›

Assembly Language

Uses Mnemonic Codes or Symbols instead of binary numbers. The only language directly understood by a computer.

What is an en dash example? ›

Use an en dash to show a period of time. Examples: I lived in Georgia from 2001–2011. The meeting will be held May 2–May 4 at the Hilton Hotel.

Where are en dashes used? ›

An en dash is a midsize dash (longer than a hyphen but shorter than an em dash) that is mostly used to show ranges in numbers and dates. It can also be used for clarity in forming complex compound adjectives.

How do you use dashes correctly? ›

Use dashes to mark the beginning and end of a series, which might otherwise get confused, with the rest of the sentence: Example: The three female characters—the wife, the nun, and the jockey—are the incarnation of excellence. Dashes are also used to mark the interruption of a sentence in dialogue: Example: “Help!

Is an em dash professional? ›

The em dash is one of the most under-appreciated punctuation marks. It looks sleek and professional when you write. And it's multifunctional! The em dash is versatile and can be used in place of many other punctuation marks, which increases sentence variety and readability.

Why do writers use em dashes? ›

Use em dashes to set off parenthetical information

Em dashes are often used to set off parenthetical information. Using em dashes instead of parentheses puts the focus on the information between the em dashes.

How do I type an em dash? ›

1.

For Mac: press “option+shift+hyphen key”. Word will automatically convert it to an em-dash. On some Mac keyboards, the option key is called “alt”. For desktop PC: press “alt+ctrl+minus” on the numeric keypad (the number section on the far right of your keyboard).

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