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kandi X-RAY | jupyter Summary
kandi X-RAY | jupyter Summary
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Top functions reviewed by kandi - BETA
- Filter the title and link weight .
- ReadConf reads configuration from file
- Done fetches the robots from the robot .
- NewArticle creates a new Article
- Get gets a GET request
- FindMostMayDate finds the most date from the raw string
- NewConsoleBar returns a new ConsoleBar
- Main page .
- max returns the largest of a and b .
- Construct a new UrlSim from urlstr
jupyter Key Features
jupyter Examples and Code Snippets
def plot_model(model,
to_file='model.png',
show_shapes=False,
show_dtype=False,
show_layer_names=True,
rankdir='TB',
expand_nested=False,
dpi=96)
Community Discussions
Trending Discussions on jupyter
QUESTION
I have the following code in Python Jupyter:
...ANSWER
Answered 2021-Jun-14 at 18:48Since you are benchmarking in a top-level scope you have to interpolate variables in @btime
with $
so the way to benchmark your code is:
QUESTION
I've got a Dataframe with around 16000 entries and 12 columns. I've (hopefully) already removed duplicates and Nan values. I want to visualise the number of occurrences in the column 'brand' in a Pie chart with Pandas. But every Brand which occurs less than 20 times should be grouped together and be named 'Freie Tankstellen'.
I've gotten to:
df_stations['brand'].value_counts().to_frame()< 20
But i don't know how to proceed, thank you in advance!
elias_lay_u_schisslbauer_simon2021-06-12_11-57 - Jupyter Notebook
...ANSWER
Answered 2021-Jun-13 at 22:50- Use
df.brand.value_counts()
to add a'total_count'
column to thedf
using.merge
. - Use Boolean indexing to rename any
'brand'
with a'total_count'
less than,.lt
, 20. - Get the new
.value_counts
for'brand'
, and plot a horizontal bar usingpandas.DataFrame.plot
withkind='barh'
. If there aren't many brands, usekind='bar'
and changefigsize
.kind='pie'
can be used, but, while I likepi
, and pieces of pie, I do not like, or recommendpie
charts.- The main purpose of using a pie chart, rather than a bar graph, is to visually indicate that a set of values are fractions or percentages that add up to a whole. This message comes at a considerable cost: Comparing values is more difficult with a pie chart than with a bar chart because is harder for the viewer to compare the angles subtended by two arcs than to compare the height for two bars. - Bergstrom, Carl T.; West, Jevin D.. Calling Bullshit (p. 179). Random House Publishing Group. Kindle Edition.
- Using
pandas v1.2.4
andmatplotlib v3.4.2
QUESTION
This question is similar to: Hide "Requirement already satisfied" warning but I want to have solution working in Windows cmd.
I have a cmd script that automatically prepares virtual environment. Part of the script installs requirements:
...ANSWER
Answered 2021-Jun-13 at 08:01This shows only messages without Requirement already satisfied
:
QUESTION
ANSWER
Answered 2021-Jun-12 at 10:34You imported pandas in a function which is sent to garbage when function is over.
Try importing outside the function
QUESTION
Yeo-Johnson method in PowerTransformer in sklearn (0.21.3; python 3.6) throws an error
...ANSWER
Answered 2021-Jun-12 at 09:42This is not a bug but because of the internals of PowerTransformer
. Have a look at these lines of your error stack trace:
QUESTION
I'm working with this molecule found in the the pdb database. https://pubchem.ncbi.nlm.nih.gov/compound/65106
When I go to use the MoltoSMILES module, I'm not getting anything in return, or it seems to inconsistent. Here is my code I use in Jupyter Notebook. Another issue I'm having is minor, but I'd like to use Spyder. I notice the figure never draws in Spyder so I switched to Jupyter. Anyways, here is the code, and I'll show differnt SMILES formats I've either found of generated:
...ANSWER
Answered 2021-Jun-12 at 05:23Let RDKit compute 2D coordinates and use the CoordGen library.
QUESTION
I've collected some sensor-values for the Cloud(csv file) and noticed a problem which I think I can go around by combining different columns into one table. I have the following table:
...ANSWER
Answered 2021-Jun-12 at 01:32At the moment you are using the notna()
method which returns the mask of your column ('Ax'): Trues at values and Falses at NaNs. So then you can call:
QUESTION
I recently installed anaconda and am using jupyter notebooks to code. When opening a bracket - "(" in the editor, it automatically opens three like this - ((). Same with parenthesis. How can this be corrected/ disabled?
print((""text")
ANSWER
Answered 2021-Jun-11 at 18:26Issue solved -- I was using a 3rd party keyboard app that lets me switch between English and my local language on Chrome. I disabled the extension and the issue solved itself.
QUESTION
I'm working in a Jupyter Notebook with pandas and pandas-bokeh.
I can create a chart no problem, but when I want to add an element (like a Span), I can't figure out how to avoid getting a second copy of the chart displayed in the notebook.
Is there a way to any of these:
- Delay drawing the figure until I'm ready to show() it?
- Update the existing figure in place?
- Delete the existing figure before drawing the second figure?
This code demonstrates the issue:
...ANSWER
Answered 2021-Jun-11 at 14:53Found the answer in the docs (imagine that).
Had to add the option show_figure=False
to the figure creation line to prevent it from being shown on figure creation:
QUESTION
I'm using jupyter notebook, and it works fine, but when I press TAB, the auto-completion doesn't work. I already checked all the similar cases in StackOverflow, but none of the solutions worked for me. I have also tried to do "pip upgrade" to: IPython, IPYKernel, Jedi, and Tornado, the upgrade works fine but the problem is still there. I tried in Firefox, Chrome and Edge. When I press TAB I can see those errors in the terminal:
...ANSWER
Answered 2021-Feb-03 at 13:55I encontered the same issue some time ago with Jupyterlab when working locally on my machine with virtual environments.
This is a problem with Jedi being too slow (or rather taking forever) to load the completion, what worked for me was to add the follwing line at the top of the notebook (for example where you typically do the imports):
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