Skip to content

aggarnav/googleearthplot

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

46 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

googleearthplot

Python library for plotting on google earth.

Galleries

barchartssample.png

barchartsample.png

linechartsample.png

linechartwithheightsample.png

linechartfromcsv.png

linecharwithheightsample2.png

barchartwithlabel.png

plotoverlayimagesample.png

pointchart.png

Requirements

simplekml

pandas

Google Earth (Pro)

install:

from the upper link

Install

You can install to use pip:

sudo pip install googleearthplot

Usages

This library generates a kml file for plot as below.

First of all, import the lib:

from googleearthplot.googleearchplot import googleearthplot

The import code depends on the script path which use googleearchplot.

Point plot

A point plot is created like this:

#Plot point
lon=18.333868#degree
lat=-34.038274#degree
gep9=googleearthplot()
gep9.PlotPoints(lat,lon,"point")
gep9.GenerateKMLFile(filepath="sample9.kml")

Then, you can see

pointchart.png

 

Of course, you can plot mutipul points.

# Plot point chart
gep10 = googleearthplot()
lat = [ -77.6192, -77.6195, -77.6198, -77.6208, -77.6216]
lon = [43.1725, 43.1728, 43.173, 43.1725, 43.1719, 43.1719]
for (ilat,ilon) in zip(lat,lon):
    gep10.PlotPoints(ilat, ilon, "point")
gep10.GenerateKMLFile(filepath="sample10.kml")

pointchars.png

A bar plot

You can plot a bar chart like:

#A bar plot 
gep1=googleearthplot()
lat=18.333868#degree
lon=-34.038274#degree
num=100 #bar height size
size=1  #meter
name="barsample"
color="red"
gep1.PlotBarChart(lat,lon,num,size,name,color);
gep1.GenerateKMLFile(filepath="sample1.kml")

If you click the generated kml file,

you can see the plot on Google Earth.

barchartsample.png

The addLabel flag is on,

PlotBarChart(lat,lon,num,size,name,color,addLabel=True)

you can add labels on the plot

barchartwithlabel.png

Bar plots from csv data

You can plot bar charts from a csv file like:

#bar plot from csv
gep=googleearthplot()
gep.PlotBarChartsFromCSV("barchartsampledata.csv")
gep.GenerateKMLFile(filepath="sample2.kml")

you can see plots when you click the generated kml file.

barchartssample.png

The CSV file format should be like the sample file:

Line plot

You can plot a line chart:

#Plot line chart
gep2=googleearthplot()
lat=[-77.6192,-77.6192,-77.6195,-77.6198,-77.6208,-77.6216,-77.6216,-77.6216]
lon=[43.1725,43.1725,43.1728,43.173,43.1725,43.1719,43.1719,43.1719,43.1719]
gep2.PlotLineChart(lat, lon, name="trajectory",color="pink")
gep2.GenerateKMLFile(filepath="sample3.kml")

Then, you can see:

linechartsample.png

Line plot with height

You can plot a line chart with height data:

#Plot line chart with height
gep3=googleearthplot()
lat=[-77.6192,-77.6192,-77.6195,-77.6198,-77.6208,-77.6216]
lon=[43.1725,43.1725,43.1728,43.173,43.1725,43.1719,43.1719]
height=[10,40,60,80,100,120,140]
gep3.PlotLineChart(lat, lon, heightList=height, name="trajectory2",color="aqua")
gep3.GenerateKMLFile(filepath="sample4.kml")

you can see:

linechartwithheightsample.png

Line plot from csv file

You can plot the line chart from a csv file:

#line plot from csv file
gep4=googleearthplot()
gep4.PlotLineChartFromCSV("sampledata/lineplotsampledata.csv", name="trajectory3", color="gold", width=10)
gep4.GenerateKMLFile(filepath="sample5.kml")

you can get the image:

linechartfromcsv.png

Check the csv file format

Line plot with height from csv file

You can plot the line chart with height from a csv file:

#line plot from csv file with height
gep5=googleearthplot()
gep5.PlotLineChartFromCSV("sampledata/lineplotsampledata2.csv", name="trajectory4", color="orange", width=10)
gep5.GenerateKMLFile(filepath="sample6.kml")

you can get:

linecharwithheightsample2.png

see the csv sample file

lineplotsampledata2.csv

Plot Overlay Image

You can plot a overlay image (logo, etc.)

#Plot overlay image sample
gep8=googleearthplot()
gep8.PlotOverlayImg("img/samplelogo.png",200,300,name="logo")
gep8.GenerateKMLFile(filepath="sample8.kml")

This is a sample screenshot:

plotoverlayimagesample.png

Color options

You can choose a color option from belows:

'aliceblue', 'antiquewhite', 'aqua', 'aquamarine', 'azure', 'beige', 'bisque', 'black', 'blanchedalmond', 'blue', 'blueviolet', 'brown', 'burlywood', 'cadetblue', 'changealpha', 'changealphaint', 'chartreuse', 'chocolate', 'coral', 'cornflowerblue', 'cornsilk', 'crimson', 'cyan', 'darkblue', 'darkcyan', 'darkgoldenrod', 'darkgray', 'darkgreen', 'darkgrey', 'darkkhaki', 'darkmagenta', 'darkolivegreen', 'darkorange', 'darkorchid', 'darkred', 'darksalmon', 'darkseagreen', 'darkslateblue', 'darkslategray', 'darkslategrey', 'darkturquoise', 'darkviolet', 'deeppink', 'deepskyblue', 'dimgray', 'dimgrey', 'dodgerblue', 'firebrick', 'floralwhite', 'forestgreen', 'fuchsia', 'gainsboro', 'ghostwhite', 'gold', 'goldenrod', 'gray', 'green', 'greenyellow', 'grey', 'hex', 'hexa', 'honeydew', 'hotpink', 'indianred', 'indigo', 'ivory', 'khaki', 'lavender', 'lavenderblush', 'lawngreen', 'lemonchiffon', 'lightblue', 'lightcoral', 'lightcyan', 'lightgoldenrodyellow', 'lightgray', 'lightgreen', 'lightgrey', 'lightpink', 'lightsalmon', 'lightseagreen', 'lightskyblue', 'lightslategray', 'lightslategrey', 'lightsteelblue', 'lightyellow', 'lime', 'limegreen', 'linen', 'magenta', 'maroon', 'mediumaquamarine', 'mediumblue', 'mediumorchid', 'mediumpurple', 'mediumseagreen', 'mediumslateblue', 'mediumspringgreen', 'mediumturquoise', 'mediumvioletred', 'midnightblue', 'mintcream', 'mistyrose', 'moccasin', 'navajowhite', 'navy', 'oldlace', 'olive', 'olivedrab', 'orange', 'orangered', 'orchid', 'palegoldenrod', 'palegreen', 'paleturquoise', 'palevioletred', 'papayawhip', 'peachpuff', 'peru', 'pink', 'plum', 'powderblue', 'purple', 'red', 'rgb', 'rosybrown', 'royalblue', 'saddlebrown', 'salmon', 'sandybrown', 'seagreen', 'seashell', 'sienna', 'silver', 'skyblue', 'slateblue', 'slategray', 'slategrey', 'snow', 'springgreen', 'steelblue', 'tan', 'teal', 'thistle', 'tomato', 'turquoise', 'violet', 'wheat', 'white', 'whitesmoke', 'yellow', 'yellowgreen'

Licence

MIT

PyPI page

googleearthplot

Author

AtsushiSakai

About

Python library for plotting on google earth

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 100.0%