I have a plotly graph stored in a html file, file.html. This was created in another script using for example:
import plotly.graph_objects as go
fig = go.Figure(data=go.Bar(y=[2, 3, 1]))
fig.write_html('file.html', auto_open=True)
Is there a way to open directly the html file without rewrite the plotly code?
Something like:
fig = go.read_html('file.html')
I need the plot inside the variable. For example this has to work:
fig = read html file file.html
fig.write_html('copyOfFile.html', auto_open=True)
I use both Python and R so I'd like a solution for both/one of them.
You can use python standard library webbrowser. It uses default browser to open the document.
import webbrowser
webbrowser.open('file.html')
I am writing and coming up with code illustrations in Jupyter Notebook. My use case then is to take the final code from certain code cells and put it in an HTML document. I have found a very good pipeline to use pygments package which highlights the code for me and puts it into proper HTML.
from pygments import highlight
from pygments.lexers import PythonLexer
from pygments.formatters import HtmlFormatter
def PyHighlight(code):
return highlight(code, PythonLexer(), HtmlFormatter())
PyHighlight("print('Hello world!')")
Output:
'<div class="highlight"><pre><span></span><span class="nb">print</span><span class="p">(</span><span class="s1">'Hello world!'</span><span class="p">)</span>\n</pre></div>\n'
But it's very tedious for me to convert each code cell into a string and then pass to the PyHighlight function and finally get the HTML.
Is there a way I can grab the content of each cell as string? Even better, can I trigger PyHighlight to run after every cell with the cell content as the argument to PyHightlight so I can just copy-paste the highlighted code HTML?
I took some inspiration from the IPython documentation on Custom Magic
Define and register the following magic in a cell.
from IPython.core.magic import (Magics, cell_magic)
#magics_class
class MyMagics(Magics):
#cell_magic
def pygmented(self, line, cell):
print(PyHighlight(cell))
get_ipython().register_magics(MyMagics)
After that, just add %%pygmented to the top of each cell, and after running the cell, the content of the cell would also be printed after all the highlighting (as asked in the question).
I try to run the below codes but I have a problem in showing the results.
also, I use pycharm IDE.
from fastai.text import *
data = pd.read_csv("data_elonmusk.csv", encoding='latin1')
data.head()
data = (TextList.from_df(data, cols='Tweet')
.split_by_rand_pct(0.1)
.label_for_lm()
.databunch(bs=48))
data.show_batch()
The output while I run the line "data.show_batch()" is:
IPython.core.display.HTML object
If you don't want to work within a Jupyter Notebook you can save data as an HTML file and open it in a browser.
with open("data.html", "w") as file:
file.write(data)
You can only render HTML in a browser and not in a Python console/editor environment.
Hence it works in Jupiter notebook, Jupyter Lab, etc.
At best you call .data to see HTML, but again it will not render.
I solved my problem by running the codes on Jupiter Notebook.
You could add this code after data.show_batch():
plt.show()
Another option besides writing it do a file is to use an HTML parser in Python to programatically edit the HTML. The most commonly used tool in Python is beautifulsoup. You can install it via
pip install beautifulsoup4
Then in your program you could do
from bs4 import BeautifulSoup
html_string = data.show_batch().data
soup = BeautifulSoup(html_string)
# do some manipulation to the parsed HTML object
# then do whatever else you want with the object
Just use the data component of HTML Object.
with open("data.html", "w") as file:
file.write(data.data)
Is it possible to embed rendered HTML output into IPython output?
One way is to use
from IPython.core.display import HTML
HTML('link')
or (IPython multiline cell alias)
%%html
link
Which return a formatted link, but
This link doesn't open a browser with the webpage itself from the console. IPython notebooks support honest rendering, though.
I'm unaware of how to render HTML() object within, say, a list or pandas printed table. You can do df.to_html(), but without making links inside cells.
This output isn't interactive in the PyCharm Python console (because it's not QT).
How can I overcome these shortcomings and make IPython output a bit more interactive?
This seems to work for me:
from IPython.core.display import display, HTML
display(HTML('<h1>Hello, world!</h1>'))
The trick is to wrap it in display as well.
Source: http://python.6.x6.nabble.com/Printing-HTML-within-IPython-Notebook-IPython-specific-prettyprint-tp5016624p5016631.html
Edit:
from IPython.display import display, HTML
In order to avoid:
DeprecationWarning: Importing display from IPython.core.display is
deprecated since IPython 7.14, please import from IPython display
Some time ago Jupyter Notebooks started stripping JavaScript from HTML content [#3118]. Here are two solutions:
Serving Local HTML
If you want to embed an HTML page with JavaScript on your page now, the easiest thing to do is to save your HTML file to the directory with your notebook and then load the HTML as follows:
from IPython.display import IFrame
IFrame(src='./nice.html', width=700, height=600)
Serving Remote HTML
If you prefer a hosted solution, you can upload your HTML page to an Amazon Web Services "bucket" in S3, change the settings on that bucket so as to make the bucket host a static website, then use an Iframe component in your notebook:
from IPython.display import IFrame
IFrame(src='https://s3.amazonaws.com/duhaime/blog/visualizations/isolation-forests.html', width=700, height=600)
This will render your HTML content and JavaScript in an iframe, just like you can on any other web page:
<iframe src='https://s3.amazonaws.com/duhaime/blog/visualizations/isolation-forests.html', width=700, height=600></iframe>
Related: While constructing a class, def _repr_html_(self): ... can be used to create a custom HTML representation of its instances:
class Foo:
def _repr_html_(self):
return "Hello <b>World</b>!"
o = Foo()
o
will render as:
Hello World!
For more info refer to IPython's docs.
An advanced example:
from html import escape # Python 3 only :-)
class Todo:
def __init__(self):
self.items = []
def add(self, text, completed):
self.items.append({'text': text, 'completed': completed})
def _repr_html_(self):
return "<ol>{}</ol>".format("".join("<li>{} {}</li>".format(
"☑" if item['completed'] else "☐",
escape(item['text'])
) for item in self.items))
my_todo = Todo()
my_todo.add("Buy milk", False)
my_todo.add("Do homework", False)
my_todo.add("Play video games", True)
my_todo
Will render:
☐ Buy milk
☐ Do homework
☑ Play video games
Expanding on #Harmon above, looks like you can combine the display and print statements together ... if you need. Or, maybe it's easier to just format your entire HTML as one string and then use display. Either way, nice feature.
display(HTML('<h1>Hello, world!</h1>'))
print("Here's a link:")
display(HTML("<a href='http://www.google.com' target='_blank'>www.google.com</a>"))
print("some more printed text ...")
display(HTML('<p>Paragraph text here ...</p>'))
Outputs something like this:
Hello, world!
Here's a link:
www.google.com
some more printed text ...
Paragraph text here ...
First, the code:
from random import choices
def random_name(length=6):
return "".join(choices("abcdefghijklmnopqrstuvwxyz", k=length))
# ---
from IPython.display import IFrame, display, HTML
import tempfile
from os import unlink
def display_html_to_frame(html, width=600, height=600):
name = f"temp_{random_name()}.html"
with open(name, "w") as f:
print(html, file=f)
display(IFrame(name, width, height), metadata=dict(isolated=True))
# unlink(name)
def display_html_inline(html):
display(HTML(html, metadata=dict(isolated=True)))
h="<html><b>Hello</b></html>"
display_html_to_iframe(h)
display_html_inline(h)
Some quick notes:
You can generally just use inline HTML for simple items. If you are rendering a framework, like a large JavaScript visualization framework, you may need to use an IFrame. Its hard enough for Jupyter to run in a browser without random HTML embedded.
The strange parameter, metadata=dict(isolated=True) does not isolate the result in an IFrame, as older documentation suggests. It appears to prevent clear-fix from resetting everything. The flag is no longer documented: I just found using it allowed certain display: grid styles to correctly render.
This IFrame solution writes to a temporary file. You could use a data uri as described here but it makes debugging your output difficult. The Jupyter IFrame function does not take a data or srcdoc attribute.
The tempfile
module creations are not sharable to another process, hence the random_name().
If you use the HTML class with an IFrame in it, you get a warning. This may be only once per session.
You can use HTML('Hello, <b>world</b>') at top level of cell and its return value will render. Within a function, use display(HTML(...)) as is done above. This also allows you to mix display and print calls freely.
Oddly, IFrames are indented slightly more than inline HTML.
to do this in a loop, you can do:
display(HTML("".join([f"<a href='{url}'>{url}</a></br>" for url in urls])))
This essentially creates the html text in a loop, and then uses the display(HTML()) construct to display the whole string as HTML
I want to print html file via default printer on windows os
I am already doing this using code:
import os
os.startfile("C:\\Users\\user\Desktop\\table.html", "print")
the problem is no colors and no background color for table fields and page.
and the actual table on browser:
so how to print with actual colors?
Maybe your printer defaults to b&w, if so, try to change that setting and then run your script again.
You could also try to first convert the html file to a pdf using pdfkit:
import os
import pdfkit
pdfkit.from_file("C:\\Users\\user\Desktop\\table.html", "out.pdf")
os.startfile("out.pdf", "print")