63 charts

Chart Overview

Reference: https://developers.google.com/earth-engine/guides/charts_feature#column_chart

In [1]:

import ee
import geemap
import geemap.chart as chart

import ee import geemap import geemap.chart as chart

In [2]:

# geemap.update_package()

# geemap.update_package()

Creating a chart from ee.FeatureCollection by feature¶

Reference: https://developers.google.com/earth-engine/guides/charts_feature#uichartfeaturebyfeature

In [3]:

Map = geemap.Map()

features = ee.FeatureCollection('projects/google/charts_feature_example').select(
    '[0-9][0-9]_tmean|label'
)

Map.addLayer(features, {}, "Ecoregions")
Map

Map = geemap.Map() features = ee.FeatureCollection('projects/google/charts_feature_example').select( '[0-9][0-9]_tmean|label' ) Map.addLayer(features, {}, "Ecoregions") Map

Out[3]:

Make this Notebook Trusted to load map: File -> Trust Notebook

In [4]:

df = geemap.ee_to_pandas(features)
df

df = geemap.ee_to_pandas(features) df

Out[4]:

	01_tmean	07_tmean	08_tmean	11_tmean	05_tmean	label	09_tmean	10_tmean	04_tmean	03_tmean	12_tmean	06_tmean	02_tmean
0	5.791036	25.066577	23.845259	9.849321	19.032815	Desert	21.454795	15.997988	14.251640	10.454658	5.641386	23.790506	7.645011
1	2.792467	17.850177	17.919983	4.784706	10.395376	Forest	15.206573	10.081709	7.120137	5.032932	2.317886	13.776134	3.609074
2	-3.756608	22.753059	21.848346	2.021918	13.643875	Grassland	16.401770	9.263021	7.721306	2.570146	-3.426706	19.033558	-1.990220

In [5]:

xProperty = "label"
yProperties = [str(x).zfill(2) + "_tmean" for x in range(1, 13)]

labels = [
    'Jan',
    'Feb',
    'Mar',
    'Apr',
    'May',
    'Jun',
    'Jul',
    'Aug',
    'Sep',
    'Oct',
    'Nov',
    'Dec',
]
colors = [
    '#604791',
    '#1d6b99',
    '#39a8a7',
    '#0f8755',
    '#76b349',
    '#f0af07',
    '#e37d05',
    '#cf513e',
    '#96356f',
    '#724173',
    '#9c4f97',
    '#696969',
]
title = "Average Monthly Temperature by Ecoregion"
xlabel = "Ecoregion"
ylabel = "Temperature"

xProperty = "label" yProperties = [str(x).zfill(2) + "_tmean" for x in range(1, 13)] labels = [ 'Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec', ] colors = [ '#604791', '#1d6b99', '#39a8a7', '#0f8755', '#76b349', '#f0af07', '#e37d05', '#cf513e', '#96356f', '#724173', '#9c4f97', '#696969', ] title = "Average Monthly Temperature by Ecoregion" xlabel = "Ecoregion" ylabel = "Temperature"

In [6]:

options = {
    "labels": labels,
    "colors": colors,
    "title": title,
    "xlabel": xlabel,
    "ylabel": ylabel,
    "legend_location": "top-left",
    "height": "500px",
}

options = { "labels": labels, "colors": colors, "title": title, "xlabel": xlabel, "ylabel": ylabel, "legend_location": "top-left", "height": "500px", }

In [7]:

chart.feature_byFeature(features, xProperty, yProperties, **options)

chart.feature_byFeature(features, xProperty, yProperties, **options)

Creating a chart from ee.FeatureCollection by property¶

Reference: https://developers.google.com/earth-engine/guides/charts_feature#uichartfeaturebyproperty

In [8]:

Map = geemap.Map()

features = ee.FeatureCollection('projects/google/charts_feature_example').select(
    '[0-9][0-9]_ppt|label'
)

Map.addLayer(features, {}, 'Features')
Map

Map = geemap.Map() features = ee.FeatureCollection('projects/google/charts_feature_example').select( '[0-9][0-9]_ppt|label' ) Map.addLayer(features, {}, 'Features') Map

Out[8]:

Make this Notebook Trusted to load map: File -> Trust Notebook

In [9]:

df = geemap.ee_to_pandas(features)
df

df = geemap.ee_to_pandas(features) df

Out[9]:

	07_ppt	02_ppt	09_ppt	11_ppt	04_ppt	label	01_ppt	06_ppt	08_ppt	05_ppt	10_ppt	03_ppt	12_ppt
0	80.389409	21.858469	37.412247	22.809099	8.252543	Desert	27.954341	14.802123	79.326886	8.372216	32.728694	17.579124	35.557367
1	23.409216	181.531780	54.064534	261.008798	150.759019	Forest	235.373540	72.709877	25.395566	112.392139	121.976155	181.917962	273.243438
2	76.181755	13.915104	45.833161	20.085923	57.736112	Grassland	9.636893	86.136860	60.189630	84.276450	38.134907	29.761295	11.198115

In [10]:

keys = [str(x).zfill(2) + "_ppt" for x in range(1, 13)]
values = [
    'Jan',
    'Feb',
    'Mar',
    'Apr',
    'May',
    'Jun',
    'Jul',
    'Aug',
    'Sep',
    'Oct',
    'Nov',
    'Dec',
]

keys = [str(x).zfill(2) + "_ppt" for x in range(1, 13)] values = [ 'Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec', ]

In [11]:

xProperties = dict(zip(keys, values))
seriesProperty = "label"

xProperties = dict(zip(keys, values)) seriesProperty = "label"

In [12]:

options = {
    'title': "Average Ecoregion Precipitation by Month",
    'colors': ['#f0af07', '#0f8755', '#76b349'],
    'xlabel': "Month",
    'ylabel': "Precipitation (mm)",
    'legend_location': "top-left",
    "height": "500px",
}

options = { 'title': "Average Ecoregion Precipitation by Month", 'colors': ['#f0af07', '#0f8755', '#76b349'], 'xlabel': "Month", 'ylabel': "Precipitation (mm)", 'legend_location': "top-left", "height": "500px", }

In [13]:

chart.feature_byProperty(features, xProperties, seriesProperty, **options)

chart.feature_byProperty(features, xProperties, seriesProperty, **options)

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Last update: 2022-03-14