Elephant GPS Collar Tracking

import pandas as pd #for handling csv and csv contents
from rdflib import Graph, Literal, RDF, URIRef, Namespace #basic RDF handling
from rdflib.namespace import FOAF , XSD, SSN, SOSA #most common namespaces
import urllib.parse #for parsing strings to URI's
import matplotlib.pyplot as plt
import plotly.graph_objects as go
import plotly.express as px
import stardog
import json
import io
import os

---------------------------------------------------------------------------
ModuleNotFoundError                       Traceback (most recent call last)
Cell In[1], line 1
----> 1 import pandas as pd #for handling csv and csv contents
      2 from rdflib import Graph, Literal, RDF, URIRef, Namespace #basic RDF handling
      3 from rdflib.namespace import FOAF , XSD, SSN, SOSA #most common namespaces

ModuleNotFoundError: No module named 'pandas'

df = pd.read_csv('Jasmin.csv')

df['Altitude']= pd.to_numeric(df['Altitude'],errors='coerce')
df['Altitude'].mean().round(6)

143.757143

df.head(10)

	ID	LocalDate	LocalTime	GMTDate	GMTTime	lat	long	Temperature	Speed	Direction	Altitude	Cov	HDOP	Distance	Count
0	1SAT32	2011-10-26	07:40:35 AM	2011-10-25	11:40:35 PM	5.437206	118.111301	24.5	0.24	0	NaN	0	1.64	0	1
1	2SAT32	2011-10-26	03:41:35 PM	2011-10-26	07:41:35 AM	5.433402	118.108162	29.0	0.76	0	NaN	0	1.74	548	2
2	3SAT32	2011-10-26	11:40:35 PM	2011-10-26	03:40:35 PM	5.433734	118.108599	27.0	0.86	0	NaN	0	2.18	61	3
3	4SAT32	2011-10-27	11:40:34 PM	2011-10-27	03:40:34 PM	5.455738	118.183640	28.0	0.16	0	NaN	0	1.89	8669	4
4	5SAT32	2011-10-28	07:42:53 AM	2011-10-27	11:42:53 PM	5.456503	118.187684	27.5	1.46	0	NaN	1	2.50	456	5
5	6SAT32	2011-10-28	03:41:05 PM	2011-10-28	07:41:05 AM	5.483344	118.232541	33.5	0.06	0	NaN	5	1.45	5800	6
6	7SAT32	2011-10-28	03:41:05 PM	2011-10-28	07:41:05 AM	5.483344	118.232541	33.5	0.06	0	NaN	5	1.45	0	7
7	8SAT32	2011-10-28	03:41:05 PM	2011-10-28	07:41:05 AM	5.483344	118.232541	33.5	0.06	0	NaN	5	1.45	0	8
8	9SAT32	2011-10-28	07:40:34 PM	2011-10-28	11:40:34 AM	5.479701	118.243606	29.0	0.14	0	NaN	4	0.95	1291	9
9	10SAT32	2011-10-28	07:40:34 PM	2011-10-28	11:40:34 AM	5.479701	118.243606	29.0	0.14	0	NaN	5	0.95	0	10

df.describe()

	lat	long	Temperature	Speed	Direction	Altitude	Cov	HDOP	Distance	Count
count	899.000000	899.000000	899.000000	899.000000	899.000000	7.000000	899.000000	899.000000	899.000000	899.000000
mean	5.509015	118.237317	28.888765	0.587164	1.329255	143.757143	2.497219	2.550044	640.407119	450.000000
std	0.073845	0.105518	4.016236	0.673300	17.429289	88.443143	2.170552	3.812480	917.534269	259.663243
min	5.392483	117.981100	-35.500000	0.000000	0.000000	101.500000	0.000000	0.710000	0.000000	1.000000
25%	5.465016	118.199810	28.000000	0.180000	0.000000	103.050000	0.000000	1.295000	145.500000	225.500000
50%	5.490733	118.248029	28.500000	0.370000	0.000000	114.900000	2.000000	1.830000	341.000000	450.000000
75%	5.546202	118.311595	30.000000	0.735000	0.000000	120.200000	5.000000	2.715000	761.000000	674.500000
max	5.706847	118.403456	37.500000	6.610000	343.000000	343.400000	5.000000	99.900000	9603.000000	899.000000

# 'Visualising Elephant Jasmin Movements'
# Creating and visualizing a scatter plot on Mapbox
fig = px.scatter_mapbox(df, lat='lat', lon='long',
                  animation_frame = 'GMTDate', animation_group = 'GMTTime',
                  color='Speed', size='Speed',
                  color_continuous_scale=px.colors.cyclical.IceFire,
                  size_max=50, zoom=1.75, hover_name='ID', 
                  hover_data = ['GMTDate', 'GMTTime', 'lat','long'], 
                  title = 'Visualising Elephant Jasmin Movements')

fig.update_layout(
        height=800,
        margin={'l': 0, 't': 0, 'b': 0, 'r': 0},
        mapbox={
            'center': {'lon': 118, 'lat': 5},
            'accesstoken':"pk.eyJ1IjoibmFlaW1hIiwiYSI6ImNsNDRoa295ZDAzMmkza21tdnJrNWRqNmwifQ.-cUTmhr1Q03qUXJfQoIKGQ",
            'style': 'satellite-streets',
            #'style': "open-street-map",
             #'style': 'outdoors',
            'center': {'lon': 118, 'lat': 5},
            'zoom': 8})
fig.show()