dipanjanS

# Correlation Matrix Heatmap
f, ax = plt.subplots(figsize=(10, 6))
corr = wines.corr()
hm = sns.heatmap(round(corr,2), annot=True, ax=ax, cmap="coolwarm",fmt='.2f',
                 linewidths=.05)
f.subplots_adjust(top=0.93)
t= f.suptitle('Wine Attributes Correlation Heatmap', fontsize=14)

zuphilip

[
	{
		"name": "CrossRef Lookup",
		"alias": "CrossRef",
		"icon": "file:///C:/Users/zumstein/AppData/Roaming/Mozilla/Firefox/Profiles/fo682pah.default/zotero/locate/CrossRef%20Lookup.gif",
		"_urlTemplate": "http://crossref.org/openurl?{z:openURL}&pid=zter:zter321",
		"description": "CrossRef Search Engine",
		"hidden": false,
		"_urlParams": [],
		"_urlNamespaces": {

awni

"""
Author: Awni Hannun

This is an example CTC decoder written in Python. The code is
intended to be a simple example and is not designed to be
especially efficient.

The algorithm is a prefix beam search for a model trained
with the CTC loss function.

kingjr

wmvanvliet

import mne
import numpy as np
from scipy.stats import norm
from matplotlib import pyplot as plt

# Load required sample data
data_path = mne.datasets.sample.data_path()
subjects_dir = data_path + '/subjects'
evoked = mne.read_evokeds(data_path + '/MEG/sample/sample_audvis-ave.fif')[0]
fwd = mne.read_forward_solution(data_path + '/MEG/sample/sample_audvis-meg-eeg-oct-6-fwd.fif', surf_ori=False, force_fixed=True)

cboettig

jupyter:
  image: jupyter/datascience-notebook
  environment:
    - PASSWORD=${PASSWORD}


nginx:  
  image: nginx
  links: 
    - jupyter

endolith

lgersman

• Click into the drawing area to start the selection frame
• move the mouse to resize the selection frame
• Release the mouse button to resize the selection frame

new features :

• circles are draggable
• circles can be selected (multiple selections possible by pressing CTRL while clicking a circle)
• the selection frame selects all circles within the frame (by pressing CTRL the selected circles will be appended to current selection)
• multiple selected circles will be dragged simultaneous