plotly_ipywidget_notebooks
plotly_ipywidget_notebooks copied to clipboard
How to run?
I copied the code as below and to understand what this project is doing. It returned with 0 errors when I run it. But how do I view the plot.
import pandas as pd import numpy as np import os from ipywidgets import Image, Layout, HBox, VBox import plotly.graph_objs as go from ipywidgets import HTML import plotly.plotly as py
cars_df = pd.read_csv('data/cars/cars.csv', usecols=['City mpg', 'Fuel Type', 'Horsepower', 'Model Year', 'Torque', 'Hybrid', 'ID']) cars_df.sample(5)
image_data = {} for img_filename in os.listdir('data/cars/images'): model_year = img_filename.split('.')[0] with open("data/cars/images/2009_Audi_A3.jpg", "rb") as f: b = f.read() image_data[model_year] = b
Image(value=image_data['2012_Chevrolet_Camaro_Coupe'])
fig = go.FigureWidget( data=[ dict( type='scattergl', x=cars_df['Torque'], y=cars_df['City mpg'], mode='markers', ) ], )
fig.layout.title = 'Torque and Fuel Efficience' fig.layout.titlefont.size = 22 fig.layout.titlefont.family = 'Rockwell' fig.layout.xaxis.title = 'Torque (foot-pounds)' fig.layout.yaxis.title = 'City MPG' scatter = fig.data[0] N = len(cars_df) scatter.x = scatter.x + np.random.rand(N) * 10 scatter.y = scatter.y + np.random.rand(N) * 1 scatter.opacity = 0.2 fig.layout.hovermode = 'closest' # Set to 'closest'
contour = fig.add_histogram2dcontour( x=scatter.x, y=scatter.y) contour.colorscale = 'Hot' contour.reversescale = True
contour.hoverinfo = 'skip'
scatter.text = cars_df['ID'] scatter.hoverinfo = 'text'
details = HTML()
def hover_fn(trace, points, state): ind = points.point_inds[0] details.value = cars_df.iloc[ind].to_frame().to_html()
scatter.on_hover(hover_fn)
image_widget = Image( value=image_data['2012_Chevrolet_Camaro_Coupe'], layout=Layout(height='252px', width='400px') )
def hover_fn(trace, points, state): ind = points.point_inds[0]
# Update details HTML widget
details.value = cars_df.iloc[ind].to_frame().to_html()
# Update image widget
model_year = cars_df['Model Year'][ind].replace(' ', '_')
image_widget.value = image_data[model_year]
scatter.on_hover(hover_fn)
VBox([fig, HBox([image_widget, details])])
Hi @ankushnag14, thanks for letting me know.
Did you run the code in the classic Jupyter Notebook or in JupyterLab?
Did you follow the full set of installation instructions at https://github.com/plotly/plotly.py? There are a bunch of versions that have to line up, especially if you're working in JupyterLab.
Thanks!
I was using JupyterLab. I probably didn't have things configured correctly.