Last active
April 2, 2019 17:45
-
-
Save ostwalprasad/2bb0623817471ea092c587e0a417f65a to your computer and use it in GitHub Desktop.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import pandas as pd | |
import plotly | |
import plotly.graph_objs as go | |
#Read cars data from csv | |
data = pd.read_csv("cars.csv") | |
markersize = data['engine-size']/12 | |
markercolor = data['city-mpg'] | |
markershape = data['num-of-doors'].replace("four","square").replace("two","circle") | |
#Make Plotly figure | |
fig1 = go.Scatter3d(x=data['curb-weight'], | |
y=data['horsepower'], | |
z=data['price'], | |
marker=dict(size=markersize, | |
color=markercolor, | |
symbol=markershape, | |
opacity=0.9, | |
reversescale=True, | |
colorscale='Blues'), | |
line=dict (width=0.02), | |
mode='markers') | |
#Make Plot.ly Layout | |
mylayout = go.Layout(title="2D Plot", | |
scene=dict(xaxis=dict( title="curb-weight"), | |
yaxis=dict( title="horsepower"), | |
zaxis=dict(title="price")), | |
) | |
#Plot and save html | |
plotly.offline.plot({"data": [fig1], | |
"layout": mylayout}, | |
auto_open=True, | |
filename=("2D Plot.html")) | |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment