Important
This documentation covers IPython versions 6.0 and higher. Beginning with version 6.0, IPython stopped supporting compatibility with Python versions lower than 3.3 including all versions of Python 2.7.
If you are looking for an IPython version compatible with Python 2.7, please use the IPython 5.x LTS release and refer to its documentation (LTS is the long term support release).
Module: display
¶
Public API for display tools in IPython.
23 Classes¶
-
class
IPython.display.
Audio
(data=None, filename=None, url=None, embed=None, rate=None, autoplay=False)¶ Bases:
IPython.core.display.DisplayObject
Create an audio object.
When this object is returned by an input cell or passed to the display function, it will result in Audio controls being displayed in the frontend (only works in the notebook).
Parameters: - data (numpy array, list, unicode, str or bytes) –
Can be one of
- Numpy 1d array containing the desired waveform (mono)
- Numpy 2d array containing waveforms for each channel. Shape=(NCHAN, NSAMPLES). For the standard channel order, see http://msdn.microsoft.com/en-us/library/windows/hardware/dn653308(v=vs.85).aspx
- List of float or integer representing the waveform (mono)
- String containing the filename
- Bytestring containing raw PCM data or
- URL pointing to a file on the web.
If the array option is used the waveform will be normalized.
If a filename or url is used the format support will be browser dependent.
- url (unicode) – A URL to download the data from.
- filename (unicode) – Path to a local file to load the data from.
- embed (boolean) –
Should the audio data be embedded using a data URI (True) or should the original source be referenced. Set this to True if you want the audio to playable later with no internet connection in the notebook.
Default is
True
, unless the keyword argumenturl
is set, then default value isFalse
. - rate (integer) – The sampling rate of the raw data. Only required when data parameter is being used as an array
- autoplay (bool) – Set to True if the audio should immediately start playing.
Default is
False
.
Examples
# Generate a sound import numpy as np framerate = 44100 t = np.linspace(0,5,framerate*5) data = np.sin(2*np.pi*220*t) + np.sin(2*np.pi*224*t)) Audio(data,rate=framerate) # Can also do stereo or more channels dataleft = np.sin(2*np.pi*220*t) dataright = np.sin(2*np.pi*224*t) Audio([dataleft, dataright],rate=framerate) Audio("http://www.nch.com.au/acm/8k16bitpcm.wav") # From URL Audio(url="http://www.w3schools.com/html/horse.ogg") Audio('/path/to/sound.wav') # From file Audio(filename='/path/to/sound.ogg') Audio(b'RAW_WAV_DATA..) # From bytes Audio(data=b'RAW_WAV_DATA..)
-
__init__
(data=None, filename=None, url=None, embed=None, rate=None, autoplay=False)¶ Create a display object given raw data.
When this object is returned by an expression or passed to the display function, it will result in the data being displayed in the frontend. The MIME type of the data should match the subclasses used, so the Png subclass should be used for ‘image/png’ data. If the data is a URL, the data will first be downloaded and then displayed. If
Parameters:
-
reload
()¶ Reload the raw data from file or URL.
- data (numpy array, list, unicode, str or bytes) –
-
class
IPython.display.
Code
(data=None, url=None, filename=None, language=None)¶ Bases:
IPython.core.display.TextDisplayObject
Display syntax-highlighted source code.
This uses Pygments to highlight the code for HTML and Latex output.
Parameters: - data (str) – The code as a string
- url (str) – A URL to fetch the code from
- filename (str) – A local filename to load the code from
- language (str) – The short name of a Pygments lexer to use for highlighting. If not specified, it will guess the lexer based on the filename or the code. Available lexers: http://pygments.org/docs/lexers/
-
__init__
(data=None, url=None, filename=None, language=None)¶ Create a display object given raw data.
When this object is returned by an expression or passed to the display function, it will result in the data being displayed in the frontend. The MIME type of the data should match the subclasses used, so the Png subclass should be used for ‘image/png’ data. If the data is a URL, the data will first be downloaded and then displayed. If
Parameters:
-
class
IPython.display.
DisplayHandle
(display_id=None)¶ Bases:
object
A handle on an updatable display
Call
.update(obj)
to display a new object.Call
.display(obj
) to add a new instance of this display, and update existing instances.-
__init__
(display_id=None)¶ Initialize self. See help(type(self)) for accurate signature.
-
display
(obj, **kwargs)¶ Make a new display with my id, updating existing instances.
Parameters: - obj – object to display
- **kwargs – additional keyword arguments passed to display
-
update
(obj, **kwargs)¶ Update existing displays with my id
Parameters: - obj – object to display
- **kwargs – additional keyword arguments passed to update_display
-
-
class
IPython.display.
DisplayObject
(data=None, url=None, filename=None, metadata=None)¶ Bases:
object
An object that wraps data to be displayed.
-
__init__
(data=None, url=None, filename=None, metadata=None)¶ Create a display object given raw data.
When this object is returned by an expression or passed to the display function, it will result in the data being displayed in the frontend. The MIME type of the data should match the subclasses used, so the Png subclass should be used for ‘image/png’ data. If the data is a URL, the data will first be downloaded and then displayed. If
Parameters:
-
reload
()¶ Reload the raw data from file or URL.
-
-
class
IPython.display.
FileLink
(path, url_prefix='', result_html_prefix='', result_html_suffix='<br>')¶ Bases:
object
Class for embedding a local file link in an IPython session, based on path
e.g. to embed a link that was generated in the IPython notebook as my/data.txt
you would do:
local_file = FileLink("my/data.txt") display(local_file)
or in the HTML notebook, just:
FileLink("my/data.txt")
-
__init__
(path, url_prefix='', result_html_prefix='', result_html_suffix='<br>')¶ Parameters: - path (str) – path to the file or directory that should be formatted
- url_prefix (str) – prefix to be prepended to all files to form a working link [default: ‘’]
- result_html_prefix (str) – text to append to beginning to link [default: ‘’]
- result_html_suffix (str) – text to append at the end of link [default: ‘<br>’]
-
-
class
IPython.display.
FileLinks
(path, url_prefix='', included_suffixes=None, result_html_prefix='', result_html_suffix='<br>', notebook_display_formatter=None, terminal_display_formatter=None, recursive=True)¶ Bases:
IPython.lib.display.FileLink
Class for embedding local file links in an IPython session, based on path
e.g. to embed links to files that were generated in the IPython notebook under
my/data
, you would do:local_files = FileLinks("my/data") display(local_files)
or in the HTML notebook, just:
FileLinks("my/data")
-
__init__
(path, url_prefix='', included_suffixes=None, result_html_prefix='', result_html_suffix='<br>', notebook_display_formatter=None, terminal_display_formatter=None, recursive=True)¶ See
FileLink
for thepath
,url_prefix
,result_html_prefix
andresult_html_suffix
parameters.- included_suffixes : list
- Filename suffixes to include when formatting output [default: include all files]
- notebook_display_formatter : function
- Used to format links for display in the notebook. See discussion of formatter functions below.
- terminal_display_formatter : function
- Used to format links for display in the terminal. See discussion of formatter functions below.
Formatter functions must be of the form:
f(dirname, fnames, included_suffixes)
- dirname : str
- The name of a directory
- fnames : list
- The files in that directory
- included_suffixes : list
- The file suffixes that should be included in the output (passing None meansto include all suffixes in the output in the built-in formatters)
- recursive : boolean
- Whether to recurse into subdirectories. Default is True.
The function should return a list of lines that will be printed in the notebook (if passing notebook_display_formatter) or the terminal (if passing terminal_display_formatter). This function is iterated over for each directory in self.path. Default formatters are in place, can be passed here to support alternative formatting.
-
-
class
IPython.display.
GeoJSON
(*args, **kwargs)¶ Bases:
IPython.core.display.JSON
GeoJSON expects JSON-able dict
not an already-serialized JSON string.
Scalar types (None, number, string) are not allowed, only dict containers.
-
__init__
(*args, **kwargs)¶ Create a GeoJSON display object given raw data.
Parameters: - data (dict or list) – VegaLite data. Not an already-serialized JSON string. Scalar types (None, number, string) are not allowed, only dict or list containers.
- url_template (string) – Leaflet TileLayer URL template: http://leafletjs.com/reference.html#url-template
- layer_options (dict) – Leaflet TileLayer options: http://leafletjs.com/reference.html#tilelayer-options
- url (unicode) – A URL to download the data from.
- filename (unicode) – Path to a local file to load the data from.
- metadata (dict) – Specify extra metadata to attach to the json display object.
Examples
The following will display an interactive map of Mars with a point of interest on frontend that do support GeoJSON display.
>>> from IPython.display import GeoJSON
>>> GeoJSON(data={ ... "type": "Feature", ... "geometry": { ... "type": "Point", ... "coordinates": [-81.327, 296.038] ... } ... }, ... url_template="http://s3-eu-west-1.amazonaws.com/whereonmars.cartodb.net/{basemap_id}/{z}/{x}/{y}.png", ... layer_options={ ... "basemap_id": "celestia_mars-shaded-16k_global", ... "attribution" : "Celestia/praesepe", ... "minZoom" : 0, ... "maxZoom" : 18, ... }) <IPython.core.display.GeoJSON object>
In the terminal IPython, you will only see the text representation of the GeoJSON object.
-
-
class
IPython.display.
HTML
(data=None, url=None, filename=None, metadata=None)¶ Bases:
IPython.core.display.TextDisplayObject
-
class
IPython.display.
IFrame
(src, width, height, **kwargs)¶ Bases:
object
Generic class to embed an iframe in an IPython notebook
-
__init__
(src, width, height, **kwargs)¶ Initialize self. See help(type(self)) for accurate signature.
-
-
class
IPython.display.
Image
(data=None, url=None, filename=None, format=None, embed=None, width=None, height=None, retina=False, unconfined=False, metadata=None)¶ Bases:
IPython.core.display.DisplayObject
-
__init__
(data=None, url=None, filename=None, format=None, embed=None, width=None, height=None, retina=False, unconfined=False, metadata=None)¶ Create a PNG/JPEG/GIF image object given raw data.
When this object is returned by an input cell or passed to the display function, it will result in the image being displayed in the frontend.
Parameters: - data (unicode, str or bytes) – The raw image data or a URL or filename to load the data from. This always results in embedded image data.
- url (unicode) – A URL to download the data from. If you specify
url=
, the image data will not be embedded unless you also specifyembed=True
. - filename (unicode) – Path to a local file to load the data from. Images from a file are always embedded.
- format (unicode) – The format of the image data (png/jpeg/jpg/gif). If a filename or URL is given for format will be inferred from the filename extension.
- embed (bool) –
Should the image data be embedded using a data URI (True) or be loaded using an <img> tag. Set this to True if you want the image to be viewable later with no internet connection in the notebook.
Default is
True
, unless the keyword argumenturl
is set, then default value isFalse
.Note that QtConsole is not able to display images if
embed
is set toFalse
- width (int) – Width in pixels to which to constrain the image in html
- height (int) – Height in pixels to which to constrain the image in html
- retina (bool) – Automatically set the width and height to half of the measured width and height. This only works for embedded images because it reads the width/height from image data. For non-embedded images, you can just set the desired display width and height directly.
- unconfined (bool) – Set unconfined=True to disable max-width confinement of the image.
- metadata (dict) – Specify extra metadata to attach to the image.
Examples
# embedded image data, works in qtconsole and notebook # when passed positionally, the first arg can be any of raw image data, # a URL, or a filename from which to load image data. # The result is always embedding image data for inline images. Image(‘http://www.google.fr/images/srpr/logo3w.png’) Image(‘/path/to/image.jpg’) Image(b’RAW_PNG_DATA…’)
# Specifying Image(url=…) does not embed the image data, # it only generates
<img>
tag with a link to the source. # This will not work in the qtconsole or offline. Image(url=’http://www.google.fr/images/srpr/logo3w.png’)
-
reload
()¶ Reload the raw data from file or URL.
-
-
class
IPython.display.
JSON
(data=None, url=None, filename=None, expanded=False, metadata=None, **kwargs)¶ Bases:
IPython.core.display.DisplayObject
JSON expects a JSON-able dict or list
not an already-serialized JSON string.
Scalar types (None, number, string) are not allowed, only dict or list containers.
-
__init__
(data=None, url=None, filename=None, expanded=False, metadata=None, **kwargs)¶ Create a JSON display object given raw data.
Parameters: - data (dict or list) – JSON data to display. Not an already-serialized JSON string. Scalar types (None, number, string) are not allowed, only dict or list containers.
- url (unicode) – A URL to download the data from.
- filename (unicode) – Path to a local file to load the data from.
- expanded (boolean) – Metadata to control whether a JSON display component is expanded.
- metadata (dict) – Specify extra metadata to attach to the json display object.
-
-
class
IPython.display.
Javascript
(data=None, url=None, filename=None, lib=None, css=None)¶ Bases:
IPython.core.display.TextDisplayObject
-
__init__
(data=None, url=None, filename=None, lib=None, css=None)¶ Create a Javascript display object given raw data.
When this object is returned by an expression or passed to the display function, it will result in the data being displayed in the frontend. If the data is a URL, the data will first be downloaded and then displayed.
In the Notebook, the containing element will be available as
element
, and jQuery will be available. Content appended toelement
will be visible in the output area.Parameters: - data (unicode, str or bytes) – The Javascript source code or a URL to download it from.
- url (unicode) – A URL to download the data from.
- filename (unicode) – Path to a local file to load the data from.
- lib (list or str) – A sequence of Javascript library URLs to load asynchronously before running the source code. The full URLs of the libraries should be given. A single Javascript library URL can also be given as a string.
- css (: list or str) – A sequence of css files to load before running the source code. The full URLs of the css files should be given. A single css URL can also be given as a string.
-
-
class
IPython.display.
Latex
(data=None, url=None, filename=None, metadata=None)¶ Bases:
IPython.core.display.TextDisplayObject
-
class
IPython.display.
Markdown
(data=None, url=None, filename=None, metadata=None)¶ Bases:
IPython.core.display.TextDisplayObject
-
class
IPython.display.
Math
(data=None, url=None, filename=None, metadata=None)¶ Bases:
IPython.core.display.TextDisplayObject
-
class
IPython.display.
Pretty
(data=None, url=None, filename=None, metadata=None)¶ Bases:
IPython.core.display.TextDisplayObject
-
class
IPython.display.
ProgressBar
(total)¶ Bases:
IPython.core.display.DisplayObject
Progressbar supports displaying a progressbar like element
-
class
IPython.display.
SVG
(data=None, url=None, filename=None, metadata=None)¶ Bases:
IPython.core.display.DisplayObject
-
class
IPython.display.
ScribdDocument
(id, width=400, height=300, **kwargs)¶ Bases:
IPython.lib.display.IFrame
Class for embedding a Scribd document in an IPython session
Use the start_page params to specify a starting point in the document Use the view_mode params to specify display type one off scroll | slideshow | book
e.g to Display Wes’ foundational paper about PANDAS in book mode from page 3
ScribdDocument(71048089, width=800, height=400, start_page=3, view_mode=”book”)
-
__init__
(id, width=400, height=300, **kwargs)¶ Initialize self. See help(type(self)) for accurate signature.
-
-
class
IPython.display.
TextDisplayObject
(data=None, url=None, filename=None, metadata=None)¶ Bases:
IPython.core.display.DisplayObject
Validate that display data is text
-
class
IPython.display.
Video
(data=None, url=None, filename=None, embed=False, mimetype=None)¶ Bases:
IPython.core.display.DisplayObject
-
__init__
(data=None, url=None, filename=None, embed=False, mimetype=None)¶ Create a video object given raw data or an URL.
When this object is returned by an input cell or passed to the display function, it will result in the video being displayed in the frontend.
Parameters: - data (unicode, str or bytes) – The raw video data or a URL or filename to load the data from.
Raw data will require passing
embed=True
. - url (unicode) – A URL for the video. If you specify
url=
, the image data will not be embedded. - filename (unicode) – Path to a local file containing the video.
Will be interpreted as a local URL unless
embed=True
. - embed (bool) –
Should the video be embedded using a data URI (True) or be loaded using a <video> tag (False).
Since videos are large, embedding them should be avoided, if possible. You must confirm embedding as your intention by passing
embed=True
.Local files can be displayed with URLs without embedding the content, via:
Video('./video.mp4')
- mimetype (unicode) – Specify the mimetype for embedded videos. Default will be guessed from file extension, if available.
Examples
Video(‘https://archive.org/download/Sita_Sings_the_Blues/Sita_Sings_the_Blues_small.mp4’) Video(‘path/to/video.mp4’) Video(‘path/to/video.mp4’, embed=True) Video(b’raw-videodata’, embed=True)
- data (unicode, str or bytes) – The raw video data or a URL or filename to load the data from.
Raw data will require passing
-
reload
()¶ Reload the raw data from file or URL.
-
-
class
IPython.display.
VimeoVideo
(id, width=400, height=300, **kwargs)¶ Bases:
IPython.lib.display.IFrame
Class for embedding a Vimeo video in an IPython session, based on its video id.
-
__init__
(id, width=400, height=300, **kwargs)¶ Initialize self. See help(type(self)) for accurate signature.
-
-
class
IPython.display.
YouTubeVideo
(id, width=400, height=300, **kwargs)¶ Bases:
IPython.lib.display.IFrame
Class for embedding a YouTube Video in an IPython session, based on its video id.
e.g. to embed the video from https://www.youtube.com/watch?v=foo , you would do:
vid = YouTubeVideo("foo") display(vid)
To start from 30 seconds:
vid = YouTubeVideo("abc", start=30) display(vid)
To calculate seconds from time as hours, minutes, seconds use
datetime.timedelta
:start=int(timedelta(hours=1, minutes=46, seconds=40).total_seconds())
Other parameters can be provided as documented at https://developers.google.com/youtube/player_parameters#Parameters
When converting the notebook using nbconvert, a jpeg representation of the video will be inserted in the document.
-
__init__
(id, width=400, height=300, **kwargs)¶ Initialize self. See help(type(self)) for accurate signature.
-
16 Functions¶
-
IPython.display.
clear_output
(wait=False)¶ Clear the output of the current cell receiving output.
Parameters: wait (bool [default: false]) – Wait to clear the output until new output is available to replace it.
-
IPython.display.
display
(*objs, include=None, exclude=None, metadata=None, transient=None, display_id=None, **kwargs)¶ Display a Python object in all frontends.
By default all representations will be computed and sent to the frontends. Frontends can decide which representation is used and how.
In terminal IPython this will be similar to using
print()
, for use in richer frontends see Jupyter notebook examples with rich display logic.Parameters: - objs (tuple of objects) – The Python objects to display.
- raw (bool, optional) – Are the objects to be displayed already mimetype-keyed dicts of raw display data, or Python objects that need to be formatted before display? [default: False]
- include (list, tuple or set, optional) – A list of format type strings (MIME types) to include in the format data dict. If this is set only the format types included in this list will be computed.
- exclude (list, tuple or set, optional) – A list of format type strings (MIME types) to exclude in the format data dict. If this is set all format types will be computed, except for those included in this argument.
- metadata (dict, optional) – A dictionary of metadata to associate with the output. mime-type keys in this dictionary will be associated with the individual representation formats, if they exist.
- transient (dict, optional) – A dictionary of transient data to associate with the output. Data in this dict should not be persisted to files (e.g. notebooks).
- display_id (str, bool optional) – Set an id for the display.
This id can be used for updating this display area later via update_display.
If given as
True
, generate a newdisplay_id
- kwargs (additional keyword-args, optional) – Additional keyword-arguments are passed through to the display publisher.
Returns: handle – Returns a handle on updatable displays for use with
update_display()
, ifdisplay_id
is given. ReturnsNone
if nodisplay_id
is given (default).Return type: Examples
>>> class Json(object): ... def __init__(self, json): ... self.json = json ... def _repr_pretty_(self, pp, cycle): ... import json ... pp.text(json.dumps(self.json, indent=2)) ... def __repr__(self): ... return str(self.json) ...
>>> d = Json({1:2, 3: {4:5}})
>>> print(d) {1: 2, 3: {4: 5}}
>>> display(d) { "1": 2, "3": { "4": 5 } }
>>> def int_formatter(integer, pp, cycle): ... pp.text('I'*integer)
>>> plain = get_ipython().display_formatter.formatters['text/plain'] >>> plain.for_type(int, int_formatter) <function _repr_pprint at 0x...> >>> display(7-5) II
>>> del plain.type_printers[int] >>> display(7-5) 2
See also
Notes
In Python, objects can declare their textual representation using the
__repr__
method. IPython expands on this idea and allows objects to declare other, rich representations including:- HTML
- JSON
- PNG
- JPEG
- SVG
- LaTeX
A single object can declare some or all of these representations; all are handled by IPython’s display system.
The main idea of the first approach is that you have to implement special display methods when you define your class, one for each representation you want to use. Here is a list of the names of the special methods and the values they must return:
_repr_html_
: return raw HTML as a string_repr_json_
: return a JSONable dict_repr_jpeg_
: return raw JPEG data_repr_png_
: return raw PNG data_repr_svg_
: return raw SVG data as a string_repr_latex_
: return LaTeX commands in a string surrounded by “$”._repr_mimebundle_
: return a full mimebundle containing the mapping- from all mimetypes to data. Use this for any mime-type not listed above.
When you are directly writing your own classes, you can adapt them for display in IPython by following the above approach. But in practice, you often need to work with existing classes that you can’t easily modify.
You can refer to the documentation on integrating with the display system in order to register custom formatters for already existing types (Rich display).
New in version 5.4: display available without import
New in version 6.1: display available without import
Since IPython 5.4 and 6.1
display()
is automatically made available to the user without import. If you are using display in a document that might be used in a pure python context or with older version of IPython, use the following import at the top of your file:from IPython.display import display
-
IPython.display.
display_html
(*objs, **kwargs)¶ Display the HTML representation of an object.
Note: If raw=False and the object does not have a HTML representation, no HTML will be shown.
Parameters: - objs (tuple of objects) – The Python objects to display, or if raw=True raw HTML data to display.
- raw (bool) – Are the data objects raw data or Python objects that need to be formatted before display? [default: False]
- metadata (dict (optional)) – Metadata to be associated with the specific mimetype output.
-
IPython.display.
display_javascript
(*objs, **kwargs)¶ Display the Javascript representation of an object.
Parameters: - objs (tuple of objects) – The Python objects to display, or if raw=True raw javascript data to display.
- raw (bool) – Are the data objects raw data or Python objects that need to be formatted before display? [default: False]
- metadata (dict (optional)) – Metadata to be associated with the specific mimetype output.
-
IPython.display.
display_jpeg
(*objs, **kwargs)¶ Display the JPEG representation of an object.
Parameters: - objs (tuple of objects) – The Python objects to display, or if raw=True raw JPEG data to display.
- raw (bool) – Are the data objects raw data or Python objects that need to be formatted before display? [default: False]
- metadata (dict (optional)) – Metadata to be associated with the specific mimetype output.
-
IPython.display.
display_json
(*objs, **kwargs)¶ Display the JSON representation of an object.
Note that not many frontends support displaying JSON.
Parameters: - objs (tuple of objects) – The Python objects to display, or if raw=True raw json data to display.
- raw (bool) – Are the data objects raw data or Python objects that need to be formatted before display? [default: False]
- metadata (dict (optional)) – Metadata to be associated with the specific mimetype output.
-
IPython.display.
display_latex
(*objs, **kwargs)¶ Display the LaTeX representation of an object.
Parameters: - objs (tuple of objects) – The Python objects to display, or if raw=True raw latex data to display.
- raw (bool) – Are the data objects raw data or Python objects that need to be formatted before display? [default: False]
- metadata (dict (optional)) – Metadata to be associated with the specific mimetype output.
-
IPython.display.
display_markdown
(*objs, **kwargs)¶ Displays the Markdown representation of an object.
Parameters: - objs (tuple of objects) – The Python objects to display, or if raw=True raw markdown data to display.
- raw (bool) – Are the data objects raw data or Python objects that need to be formatted before display? [default: False]
- metadata (dict (optional)) – Metadata to be associated with the specific mimetype output.
-
IPython.display.
display_pdf
(*objs, **kwargs)¶ Display the PDF representation of an object.
Parameters: - objs (tuple of objects) – The Python objects to display, or if raw=True raw javascript data to display.
- raw (bool) – Are the data objects raw data or Python objects that need to be formatted before display? [default: False]
- metadata (dict (optional)) – Metadata to be associated with the specific mimetype output.
-
IPython.display.
display_png
(*objs, **kwargs)¶ Display the PNG representation of an object.
Parameters: - objs (tuple of objects) – The Python objects to display, or if raw=True raw png data to display.
- raw (bool) – Are the data objects raw data or Python objects that need to be formatted before display? [default: False]
- metadata (dict (optional)) – Metadata to be associated with the specific mimetype output.
-
IPython.display.
display_pretty
(*objs, **kwargs)¶ Display the pretty (default) representation of an object.
Parameters: - objs (tuple of objects) – The Python objects to display, or if raw=True raw text data to display.
- raw (bool) – Are the data objects raw data or Python objects that need to be formatted before display? [default: False]
- metadata (dict (optional)) – Metadata to be associated with the specific mimetype output.
-
IPython.display.
display_svg
(*objs, **kwargs)¶ Display the SVG representation of an object.
Parameters: - objs (tuple of objects) – The Python objects to display, or if raw=True raw svg data to display.
- raw (bool) – Are the data objects raw data or Python objects that need to be formatted before display? [default: False]
- metadata (dict (optional)) – Metadata to be associated with the specific mimetype output.
-
IPython.display.
publish_display_data
(data, metadata=None, source=None, *, transient=None, **kwargs)¶ Publish data and metadata to all frontends.
See the
display_data
message in the messaging documentation for more details about this message type.Keys of data and metadata can be any mime-type.
Parameters: - data (dict) – A dictionary having keys that are valid MIME types (like ‘text/plain’ or ‘image/svg+xml’) and values that are the data for that MIME type. The data itself must be a JSON’able data structure. Minimally all data should have the ‘text/plain’ data, which can be displayed by all frontends. If more than the plain text is given, it is up to the frontend to decide which representation to use.
- metadata (dict) – A dictionary for metadata related to the data. This can contain arbitrary key, value pairs that frontends can use to interpret the data. mime-type keys matching those in data can be used to specify metadata about particular representations.
- source (str, deprecated) – Unused.
- transient (dict, keyword-only) – A dictionary of transient data, such as display_id.
-
IPython.display.
set_matplotlib_close
(close=True)¶ Set whether the inline backend closes all figures automatically or not.
By default, the inline backend used in the IPython Notebook will close all matplotlib figures automatically after each cell is run. This means that plots in different cells won’t interfere. Sometimes, you may want to make a plot in one cell and then refine it in later cells. This can be accomplished by:
In [1]: set_matplotlib_close(False)
To set this in your config files use the following:
c.InlineBackend.close_figures = False
Parameters: close (bool) – Should all matplotlib figures be automatically closed after each cell is run?
-
IPython.display.
set_matplotlib_formats
(*formats, **kwargs)¶ Select figure formats for the inline backend. Optionally pass quality for JPEG.
For example, this enables PNG and JPEG output with a JPEG quality of 90%:
In [1]: set_matplotlib_formats('png', 'jpeg', quality=90)
To set this in your config files use the following:
c.InlineBackend.figure_formats = {'png', 'jpeg'} c.InlineBackend.print_figure_kwargs.update({'quality' : 90})
Parameters: - *formats (strs) – One or more figure formats to enable: ‘png’, ‘retina’, ‘jpeg’, ‘svg’, ‘pdf’.
- **kwargs – Keyword args will be relayed to
figure.canvas.print_figure
.