View iris-3.dib
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#!fsharp | |
#r "nuget:Dash.NET.Interactive,0.2.0-alpha.4" | |
#!fsharp | |
#r "nuget: FSharp.Data" | |
open FSharp.Data | |
let [<Literal>] Csv = "https://raw.githubusercontent.com/plotly/datasets/master/iris-id.csv" | |
type CsvData = CsvProvider<Csv> |
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View gist:1c2efd206c094ab96608299c920c103d
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from jupyter_dash import JupyterDash | |
import dash | |
import dash_table as dt | |
import pandas as pd | |
import dash_bootstrap_components as dbc | |
from dash.dependencies import Input, Output | |
df = pd.read_csv('https://git.io/Juf1t') |
View ssim.m
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% Write MATLAB image | |
% saveas(gcf,'matlab_line1.png') | |
% Write Plotly image | |
% write_image(fig2plotly(gcf),'png', 'plotly_line1.png', 875, 1167, 1) | |
ref = imread('matlab_line1.png'); | |
A = imread('plotly_line1.png'); |
View dash_proto.m
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pyenv('Version','/opt/anaconda3/bin/python3'); | |
pyenv('ExecutionMode','OutOfProcess'); | |
pyenv | |
dct = py.dict(pyargs('href', 'https://stackpath.bootstrapcdn.com/bootstrap/4.1.3/css/bootstrap.min.css', ... | |
'rel', 'stylesheet', ... | |
'integrity', 'sha384-MCw98/SFnGE8fJT3GXwEOngsV7Zt27NXFoaoApmYm81iuXoPkFOJwJ8ERdknLPMO', ... | |
'crossorigin', 'anonymous' )) |
View musical_instruments.csv
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reviewerID,asin,reviewerName,helpful,reviewText,overall,summary,unixReviewTime,reviewTime | |
A2IBPI20UZIR0U,1384719342,"cassandra tu ""Yeah, well, that's just like, u...","[0, 0]","Not much to write about here, but it does exactly what it's supposed to. filters out the pop sounds. now my recordings are much more crisp. it is one of the lowest prices pop filters on amazon so might as well buy it, they honestly work the same despite their pricing,",5.0,good,1393545600,"02 28, 2014" |
View musical_instruments.csv
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reviewerID,asin,reviewerName,helpful,reviewText,overall,summary,unixReviewTime,reviewTime | |
A2IBPI20UZIR0U,1384719342,"cassandra tu ""Yeah, well, that's just like, u...","[0, 0]","Not much to write about here, but it does exactly what it's supposed to. filters out the pop sounds. now my recordings are much more crisp. it is one of the lowest prices pop filters on amazon so might as well buy it, they honestly work the same despite their pricing,",5.0,good,1393545600,"02 28, 2014" |
View musical_instruments.csv
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reviewerID,asin,reviewerName,helpful,reviewText,overall,summary,unixReviewTime,reviewTime | |
A2IBPI20UZIR0U,1384719342,"cassandra tu ""Yeah, well, that's just like, u...","[0, 0]","Not much to write about here, but it does exactly what it's supposed to. filters out the pop sounds. now my recordings are much more crisp. it is one of the lowest prices pop filters on amazon so might as well buy it, they honestly work the same despite their pricing,",5.0,good,1393545600,"02 28, 2014" |
View lunar_lander.py
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import dash | |
import dash_core_components as dcc | |
import dash_html_components as html | |
from dash.dependencies import Input, Output | |
import numpy as np | |
import casadi | |
from casadi import SX, DM | |
from math import cos, sin | |
import plotly.graph_objects as go |
View v_slice.py
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# -*- coding: utf-8 -*- | |
import dash | |
import dash_core_components as dcc | |
import dash_html_components as html | |
import numpy as np | |
import plotly.graph_objects as go | |
from scipy import ndimage | |
external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css'] |
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