Code Cells¶
Code, Output, Streams¶
An empty code cell:
[ ]:
Two empty lines:
[ ]:
Leading/trailing empty lines:
[1]:
# 2 empty lines before, 1 after
A simple output:
[2]:
6 * 7
[2]:
42
The standard output stream:
[3]:
print('Hello, world!')
Hello, world!
Normal output + standard output
[4]:
print('Hello, world!')
6 * 7
Hello, world!
[4]:
42
The standard error stream is highlighted and displayed just below the code cell. The standard output stream comes afterwards (with no special highlighting). Finally, the “normal” output is displayed.
[5]:
import sys
print("I'll appear on the standard error stream", file=sys.stderr)
print("I'll appear on the standard output stream")
"I'm the 'normal' output"
I'll appear on the standard output stream
I'll appear on the standard error stream
[5]:
"I'm the 'normal' output"
Note
Using the IPython kernel, the order is actually mixed up, see https://github.com/ipython/ipykernel/issues/280.
Special Display Formats¶
Local Image Files¶
[6]:
from IPython.display import Image
i = Image(filename='images/notebook_icon.png')
i
[6]:

[7]:
display(i)

See also SVG support for LaTeX.
[8]:
from IPython.display import SVG
SVG(filename='images/python_logo.svg')
[8]:
Image URLs¶
There may be errors in this part because images’ URLs are not accessible during a build of RPM. See online documentation.
[9]:
Image(url='https://www.python.org/static/img/python-logo-large.png')
[9]:

[10]:
Image(url='https://www.python.org/static/img/python-logo-large.png', embed=True)
---------------------------------------------------------------------------
gaierror Traceback (most recent call last)
File /usr/lib64/python3.12/urllib/request.py:1344, in AbstractHTTPHandler.do_open(self, http_class, req, **http_conn_args)
1343 try:
-> 1344 h.request(req.get_method(), req.selector, req.data, headers,
1345 encode_chunked=req.has_header('Transfer-encoding'))
1346 except OSError as err: # timeout error
File /usr/lib64/python3.12/http/client.py:1336, in HTTPConnection.request(self, method, url, body, headers, encode_chunked)
1335 """Send a complete request to the server."""
-> 1336 self._send_request(method, url, body, headers, encode_chunked)
File /usr/lib64/python3.12/http/client.py:1382, in HTTPConnection._send_request(self, method, url, body, headers, encode_chunked)
1381 body = _encode(body, 'body')
-> 1382 self.endheaders(body, encode_chunked=encode_chunked)
File /usr/lib64/python3.12/http/client.py:1331, in HTTPConnection.endheaders(self, message_body, encode_chunked)
1330 raise CannotSendHeader()
-> 1331 self._send_output(message_body, encode_chunked=encode_chunked)
File /usr/lib64/python3.12/http/client.py:1091, in HTTPConnection._send_output(self, message_body, encode_chunked)
1090 del self._buffer[:]
-> 1091 self.send(msg)
1093 if message_body is not None:
1094
1095 # create a consistent interface to message_body
File /usr/lib64/python3.12/http/client.py:1035, in HTTPConnection.send(self, data)
1034 if self.auto_open:
-> 1035 self.connect()
1036 else:
File /usr/lib64/python3.12/http/client.py:1470, in HTTPSConnection.connect(self)
1468 "Connect to a host on a given (SSL) port."
-> 1470 super().connect()
1472 if self._tunnel_host:
File /usr/lib64/python3.12/http/client.py:1001, in HTTPConnection.connect(self)
1000 sys.audit("http.client.connect", self, self.host, self.port)
-> 1001 self.sock = self._create_connection(
1002 (self.host,self.port), self.timeout, self.source_address)
1003 # Might fail in OSs that don't implement TCP_NODELAY
File /usr/lib64/python3.12/socket.py:828, in create_connection(address, timeout, source_address, all_errors)
827 exceptions = []
--> 828 for res in getaddrinfo(host, port, 0, SOCK_STREAM):
829 af, socktype, proto, canonname, sa = res
File /usr/lib64/python3.12/socket.py:963, in getaddrinfo(host, port, family, type, proto, flags)
962 addrlist = []
--> 963 for res in _socket.getaddrinfo(host, port, family, type, proto, flags):
964 af, socktype, proto, canonname, sa = res
gaierror: [Errno -3] Temporary failure in name resolution
During handling of the above exception, another exception occurred:
URLError Traceback (most recent call last)
Cell In[10], line 1
----> 1 Image(url='https://www.python.org/static/img/python-logo-large.png', embed=True)
File /usr/lib/python3.12/site-packages/IPython/core/display.py:970, in Image.__init__(self, data, url, filename, format, embed, width, height, retina, unconfined, metadata, alt)
968 self.unconfined = unconfined
969 self.alt = alt
--> 970 super(Image, self).__init__(data=data, url=url, filename=filename,
971 metadata=metadata)
973 if self.width is None and self.metadata.get('width', {}):
974 self.width = metadata['width']
File /usr/lib/python3.12/site-packages/IPython/core/display.py:327, in DisplayObject.__init__(self, data, url, filename, metadata)
324 elif self.metadata is None:
325 self.metadata = {}
--> 327 self.reload()
328 self._check_data()
File /usr/lib/python3.12/site-packages/IPython/core/display.py:1005, in Image.reload(self)
1003 """Reload the raw data from file or URL."""
1004 if self.embed:
-> 1005 super(Image,self).reload()
1006 if self.retina:
1007 self._retina_shape()
File /usr/lib/python3.12/site-packages/IPython/core/display.py:358, in DisplayObject.reload(self)
355 elif self.url is not None:
356 # Deferred import
357 from urllib.request import urlopen
--> 358 response = urlopen(self.url)
359 data = response.read()
360 # extract encoding from header, if there is one:
File /usr/lib64/python3.12/urllib/request.py:215, in urlopen(url, data, timeout, cafile, capath, cadefault, context)
213 else:
214 opener = _opener
--> 215 return opener.open(url, data, timeout)
File /usr/lib64/python3.12/urllib/request.py:515, in OpenerDirector.open(self, fullurl, data, timeout)
512 req = meth(req)
514 sys.audit('urllib.Request', req.full_url, req.data, req.headers, req.get_method())
--> 515 response = self._open(req, data)
517 # post-process response
518 meth_name = protocol+"_response"
File /usr/lib64/python3.12/urllib/request.py:532, in OpenerDirector._open(self, req, data)
529 return result
531 protocol = req.type
--> 532 result = self._call_chain(self.handle_open, protocol, protocol +
533 '_open', req)
534 if result:
535 return result
File /usr/lib64/python3.12/urllib/request.py:492, in OpenerDirector._call_chain(self, chain, kind, meth_name, *args)
490 for handler in handlers:
491 func = getattr(handler, meth_name)
--> 492 result = func(*args)
493 if result is not None:
494 return result
File /usr/lib64/python3.12/urllib/request.py:1392, in HTTPSHandler.https_open(self, req)
1391 def https_open(self, req):
-> 1392 return self.do_open(http.client.HTTPSConnection, req,
1393 context=self._context)
File /usr/lib64/python3.12/urllib/request.py:1347, in AbstractHTTPHandler.do_open(self, http_class, req, **http_conn_args)
1344 h.request(req.get_method(), req.selector, req.data, headers,
1345 encode_chunked=req.has_header('Transfer-encoding'))
1346 except OSError as err: # timeout error
-> 1347 raise URLError(err)
1348 r = h.getresponse()
1349 except:
URLError: <urlopen error [Errno -3] Temporary failure in name resolution>
[11]:
Image(url='https://jupyter.org/assets/homepage/main-logo.svg')
[11]:
Math¶
[12]:
from IPython.display import Math
eq = Math(r'\int\limits_{-\infty}^\infty f(x) \delta(x - x_0) dx = f(x_0)')
eq
[12]:
[13]:
display(eq)
[14]:
from IPython.display import Latex
Latex(r'This is a \LaTeX{} equation: $a^2 + b^2 = c^2$')
[14]:
[15]:
%%latex
\begin{equation}
\int\limits_{-\infty}^\infty f(x) \delta(x - x_0) dx = f(x_0)
\end{equation}
Plots¶
Make sure to use at least version 0.1.6 of the matplotlib-inline
package (which is an automatic dependency of the ipython
package).
By default, the plots created with the “inline” backend have the wrong size. More specifically, PNG plots (the default) will be slightly larger than SVG and PDF plots.
This can be fixed easily by creating a file named matplotlibrc
(in the directory where your Jupyter notebooks live, e.g. in this directory: matplotlibrc) and adding the following line:
figure.dpi: 96
If you are using Git to manage your files, don’t forget to commit this local configuration file to your repository. Different directories can have different local configurations. If a given configuration should apply to multiple directories, symbolic links can be created in each directory.
For more details, see Default Values for Matplotlib’s “inline” Backend.
By default, plots are generated in the PNG format. In most cases, it looks better if SVG plots are used for HTML output and PDF plots are used for LaTeX/PDF. This can be achieved by setting nbsphinx_execute_arguments in your conf.py
file like this:
nbsphinx_execute_arguments = [
"--InlineBackend.figure_formats={'svg', 'pdf'}",
]
In the following example, nbsphinx
should use an SVG image in the HTML output and a PDF image for LaTeX/PDF output (other Jupyter clients like JupyterLab will still show the default PNG format).
[16]:
import matplotlib.pyplot as plt
[17]:
fig, ax = plt.subplots(figsize=[6, 3])
ax.plot([4, 9, 7, 20, 6, 33, 13, 23, 16, 62, 8]);
For comparison, this is how it would look in PNG format …
[18]:
%config InlineBackend.figure_formats = ['png']
[19]:
fig
[19]:

… and in 'png2x'
(a.k.a. 'retina'
) format:
[20]:
%config InlineBackend.figure_formats = ['png2x']
[21]:
fig
[21]:

Pandas Dataframes¶
Pandas dataframes should be displayed as nicely formatted HTML tables (if you are using HTML output).
[22]:
import numpy as np
import pandas as pd
---------------------------------------------------------------------------
ModuleNotFoundError Traceback (most recent call last)
Cell In[22], line 2
1 import numpy as np
----> 2 import pandas as pd
ModuleNotFoundError: No module named 'pandas'
[23]:
df = pd.DataFrame(np.random.randint(0, 100, size=[10, 4]),
columns=[r'$\alpha$', r'$\beta$', r'$\gamma$', r'$\delta$'])
df
---------------------------------------------------------------------------
NameError Traceback (most recent call last)
Cell In[23], line 1
----> 1 df = pd.DataFrame(np.random.randint(0, 100, size=[10, 4]),
2 columns=[r'$\alpha$', r'$\beta$', r'$\gamma$', r'$\delta$'])
3 df
NameError: name 'pd' is not defined
Markdown Content¶
[24]:
from IPython.display import Markdown
[25]:
md = Markdown("""
# Markdown
It *should* show up as **formatted** text
with things like [links] and images.
[links]: https://jupyter.org/

## Markdown Extensions
There might also be mathematical equations like
$a^2 + b^2 = c^2$
and even tables:
A | B | A and B
------|-------|--------
False | False | False
True | False | False
False | True | False
True | True | True
""")
md
YouTube Videos¶
[26]:
from IPython.display import YouTubeVideo
YouTubeVideo('9_OIs49m56E')
[26]:
Interactive Widgets (HTML only)¶
The basic widget infrastructure is provided by the ipywidgets module. More advanced widgets are available in separate packages, see for example https://jupyter.org/widgets.
The JavaScript code which is needed to display Jupyter widgets is loaded automatically (using RequireJS). If you want to use non-default URLs or local files, you can use the nbsphinx_widgets_path and nbsphinx_requirejs_path settings.
[27]:
import ipywidgets as w
---------------------------------------------------------------------------
ModuleNotFoundError Traceback (most recent call last)
Cell In[27], line 1
----> 1 import ipywidgets as w
ModuleNotFoundError: No module named 'ipywidgets'
[28]:
slider = w.IntSlider()
slider.value = 42
slider
---------------------------------------------------------------------------
NameError Traceback (most recent call last)
Cell In[28], line 1
----> 1 slider = w.IntSlider()
2 slider.value = 42
3 slider
NameError: name 'w' is not defined
A widget typically consists of a so-called “model” and a “view” into that model.
If you display a widget multiple times, all instances act as a “view” into the same “model”. That means that their state is synchronized. You can move either one of these sliders to try this out:
[29]:
slider
---------------------------------------------------------------------------
NameError Traceback (most recent call last)
Cell In[29], line 1
----> 1 slider
NameError: name 'slider' is not defined
You can also link different widgets.
Widgets can be linked via the kernel (which of course only works while a kernel is running) or directly in the client (which even works in the rendered HTML pages).
Widgets can be linked uni- or bi-directionally.
Examples for all 4 combinations are shown here:
[30]:
link = w.IntSlider(description='link')
w.link((slider, 'value'), (link, 'value'))
jslink = w.IntSlider(description='jslink')
w.jslink((slider, 'value'), (jslink, 'value'))
dlink = w.IntSlider(description='dlink')
w.dlink((slider, 'value'), (dlink, 'value'))
jsdlink = w.IntSlider(description='jsdlink')
w.jsdlink((slider, 'value'), (jsdlink, 'value'))
w.VBox([link, jslink, dlink, jsdlink])
---------------------------------------------------------------------------
NameError Traceback (most recent call last)
Cell In[30], line 1
----> 1 link = w.IntSlider(description='link')
2 w.link((slider, 'value'), (link, 'value'))
3 jslink = w.IntSlider(description='jslink')
NameError: name 'w' is not defined
[31]:
tabs = w.Tab()
for idx, obj in enumerate([df, fig, eq, i, md, slider]):
out = w.Output()
with out:
display(obj)
tabs.children += out,
tabs.set_title(idx, obj.__class__.__name__)
tabs
---------------------------------------------------------------------------
NameError Traceback (most recent call last)
Cell In[31], line 1
----> 1 tabs = w.Tab()
2 for idx, obj in enumerate([df, fig, eq, i, md, slider]):
3 out = w.Output()
NameError: name 'w' is not defined
Other Languages
The examples shown here are using Python, but the widget technology can also be used with different Jupyter kernels (i.e. with different programming languages).
Troubleshooting¶
To obtain more information if widgets are not displayed as expected, you will need to look at the error message in the web browser console.
To figure out how to open the web browser console, you may look at the web browser documentation:
The error is most probably linked to the JavaScript files not being loaded or loaded in the wrong order within the HTML file. To analyze the error, you can inspect the HTML file within the web browser (e.g.: right-click on the page and select View Page Source) and look at the <head>
section of the page. That section should contain some JavaScript libraries. Those relevant for widgets are:
<!-- require.js is a mandatory dependency for jupyter-widgets -->
<script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
<!-- jupyter-widgets JavaScript -->
<script type="text/javascript" src="https://unpkg.com/@jupyter-widgets/html-manager@^0.18.0/dist/embed-amd.js"></script>
<!-- JavaScript containing custom Jupyter widgets -->
<script src="../_static/embed-widgets.js"></script>
The two first elements are mandatory. The third one is required only if you designed your own widgets but did not publish them on npm.js.
If those libraries appear in a different order, the widgets won’t be displayed.
Here is a list of possible solutions:
Arbitrary JavaScript Output (HTML only)¶
[32]:
%%javascript
var text = document.createTextNode("Hello, I was generated with JavaScript!");
// Content appended to "element" will be visible in the output area:
element.appendChild(text);
Unsupported Output Types¶
If a code cell produces data with an unsupported MIME type, the Jupyter Notebook doesn’t generate any output. nbsphinx
, however, shows a warning message.
[33]:
display({
'text/x-python': 'print("Hello, world!")',
'text/x-haskell': 'main = putStrLn "Hello, world!"',
}, raw=True)
Data type cannot be displayed: text/x-python, text/x-haskell
ANSI Colors¶
The standard output and standard error streams may contain ANSI escape sequences to change the text and background colors.
[34]:
print('BEWARE: \x1b[1;33;41mugly colors\x1b[m!', file=sys.stderr)
print('AB\x1b[43mCD\x1b[35mEF\x1b[1mGH\x1b[4mIJ\x1b[7m'
'KL\x1b[49mMN\x1b[39mOP\x1b[22mQR\x1b[24mST\x1b[27mUV')
ABCDEFGHIJKLMNOPQRSTUV
BEWARE: ugly colors!
The following code showing the 8 basic ANSI colors is based on https://tldp.org/HOWTO/Bash-Prompt-HOWTO/x329.html. Each of the 8 colors has an “intense” variation, which is used for bold text.
[35]:
text = ' XYZ '
formatstring = '\x1b[{}m' + text + '\x1b[m'
print(' ' * 6 + ' ' * len(text) +
''.join('{:^{}}'.format(bg, len(text)) for bg in range(40, 48)))
for fg in range(30, 38):
for bold in False, True:
fg_code = ('1;' if bold else '') + str(fg)
print(' {:>4} '.format(fg_code) + formatstring.format(fg_code) +
''.join(formatstring.format(fg_code + ';' + str(bg))
for bg in range(40, 48)))
40 41 42 43 44 45 46 47
30 XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ
1;30 XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ
31 XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ
1;31 XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ
32 XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ
1;32 XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ
33 XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ
1;33 XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ
34 XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ
1;34 XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ
35 XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ
1;35 XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ
36 XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ
1;36 XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ
37 XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ
1;37 XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ
ANSI also supports a set of 256 indexed colors. The following code showing all of them is based on http://bitmote.com/index.php?post/2012/11/19/Using-ANSI-Color-Codes-to-Colorize-Your-Bash-Prompt-on-Linux.
[36]:
formatstring = '\x1b[38;5;{0};48;5;{0}mX\x1b[1mX\x1b[m'
print(' + ' + ''.join('{:2}'.format(i) for i in range(36)))
print(' 0 ' + ''.join(formatstring.format(i) for i in range(16)))
for i in range(7):
i = i * 36 + 16
print('{:3} '.format(i) + ''.join(formatstring.format(i + j)
for j in range(36) if i + j < 256))
+ 0 1 2 3 4 5 6 7 8 91011121314151617181920212223242526272829303132333435
0 XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
16 XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
52 XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
88 XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
124 XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
160 XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
196 XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
232 XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
You can even use 24-bit RGB colors:
[37]:
start = 255, 0, 0
end = 0, 0, 255
length = 79
out = []
for i in range(length):
rgb = [start[c] + int(i * (end[c] - start[c]) / length) for c in range(3)]
out.append('\x1b['
'38;2;{rgb[2]};{rgb[1]};{rgb[0]};'
'48;2;{rgb[0]};{rgb[1]};{rgb[2]}mX\x1b[m'.format(rgb=rgb))
print(''.join(out))
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX