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plotly_helpers.py
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plotly_helpers.py
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import plotly.plotly as py
import plotly.graph_objs as go
import pandas as pd
import numpy as np
mapbox_access_token = 'pk.eyJ1Ijoic2ViYXN0aWFuYmVydG9saSIsImEiOiJjamI3MDd2MzEwdTcxMndxenlxeG84MW84In0.NGEBEkX3qU7NFDw31j56AQ'
def plot_datasample(df_plotting):
'''
Initial plot showing some datapoints on the map.
Parameters:
-- Pandas dataframe containing latitude-longitude columns.
Returns:
'''
fig = go.Figure(data = [go.Scattermapbox(lat=df_plotting["latitude"],
lon=df_plotting["longitude"],
mode='markers',
text="User ID: " + df_plotting["user_id"].apply(str),
textposition='bottom',
marker=go.Marker(size=3,opacity = 0.3))
],
layout = go.Layout(autosize=False,
width=640,
height=300,
margin=go.Margin(
l=0,
r=0,
b=0,
t=0,
pad=0),
hovermode='closest',
mapbox=dict(
accesstoken=mapbox_access_token,
bearing=0,
center=dict(
lat=df_plotting["latitude"].median(),
lon=df_plotting["longitude"].median()),
pitch=0,
style='light',
zoom=9.5)))
return fig
def plot_one_user(df_plotting):
'''
Initial plot showing some datapoints on the map.
Parameters:
-- Pandas dataframe containing latitude-longitude columns.
Returns:
'''
fig = go.Figure(data = [go.Scattermapbox(lat=df_plotting["latitude"],
lon=df_plotting["longitude"],
mode='markers+text',
text=("Time: "
+ df_plotting["timestamp"].dt.hour.apply(str)
+ ":"
+ df_plotting["timestamp"].dt.minute.apply(str).str.zfill(2)),
textposition='bottom',
marker=go.Marker(size=14,opacity = 0.7))
],
layout = go.Layout(autosize=False,
width=640,
height=300,
margin=go.Margin(l=0, r=0, b=0, t=0, pad=0),
hovermode='closest',
mapbox=dict(accesstoken=mapbox_access_token,
bearing=0,
center=dict(lat=df_plotting["latitude"].mean(),lon=df_plotting["longitude"].mean()),
pitch=0,
style='light',
zoom=15
),
# annotations=[dict(x=116.3432,
# y=39.92548,
# xref='x',
# yref='y',
# text='Hello',
# showarrow=True,
# arrowhead=7,
# ax=-10,
# ay=-10
# )
# ]
)
)
return fig
def plot_stops(df_plotting):
fig = go.Figure(data = [go.Scattermapbox(lat=df_plotting["latitude"],
lon=df_plotting["longitude"],
mode='markers',
text="User ID: " + df_plotting["user_id"].apply(str),
textposition='bottom',
marker=go.Marker(size=5,opacity = 1, color='orange'))
],
layout = go.Layout(autosize=False,
width=640,
height=300,
margin=go.Margin(
l=0,
r=0,
b=0,
t=0,
pad=0),
hovermode='closest',
mapbox=dict(
accesstoken=mapbox_access_token,
bearing=0,
center=dict(
lat=df_plotting["latitude"].median(),
lon=df_plotting["longitude"].median()),
pitch=0,
style='light',
zoom=9.5)))
return fig
def plot_destinations(df_plotting):
df_plotting = df_plotting.sort_values(by='count')
sizes = np.sqrt(df_plotting['count']) + 3
cluster_colors = np.log(df_plotting['count'])
fig = go.Figure(data = [go.Scattermapbox(lat=df_plotting["latitude"],
lon=df_plotting["longitude"],
mode='markers',
text="User ID: " + df_plotting["user_id"].apply(str)
+ "<br>Destination ID: " + df_plotting["cluster_assignment"].apply(str)
+ "<br># Stops: " + df_plotting["count"].apply(str),
textposition='bottom',
marker=go.Marker(size=sizes,
opacity = 1,
color=cluster_colors))
],
layout = go.Layout(autosize=False,
width=640,
height=300,
margin=go.Margin(
l=0,
r=0,
b=0,
t=0,
pad=0),
hovermode='closest',
mapbox=dict(
accesstoken=mapbox_access_token,
bearing=0,
center=dict(
lat=df_plotting["latitude"].median(),
lon=df_plotting["longitude"].median()),
pitch=0,
style='light',
zoom=9.5)))
return fig