79 chart histogram

Uncomment the following line to install geemap if needed.

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# !pip install geemap

# !pip install geemap

Install the necessary libraries.

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import ee
import geemap
import geemap.chart as chart

import ee import geemap import geemap.chart as chart

Initialize GEE.

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geemap.ee_initialize()

geemap.ee_initialize()

Set the data and plot options.

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source = ee.ImageCollection("OREGONSTATE/PRISM/Norm81m").toBands()
region = ee.Geometry.Rectangle(-123.41, 40.43, -116.38, 45.14)
my_sample = source.sample(region, 5000)
property = "07_ppt"

source = ee.ImageCollection("OREGONSTATE/PRISM/Norm81m").toBands() region = ee.Geometry.Rectangle(-123.41, 40.43, -116.38, 45.14) my_sample = source.sample(region, 5000) property = "07_ppt"

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options = {
    "title": "July Precipitation Distribution for NW USA",
    "xlabel": "Precipitation (mm)",
    "ylabel": "Pixel count",
    "colors": ["#1d6b99"],
}

options = { "title": "July Precipitation Distribution for NW USA", "xlabel": "Precipitation (mm)", "ylabel": "Pixel count", "colors": ["#1d6b99"], }

Generate histogram with default number of bins:

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chart.feature_histogram(my_sample, property, **options)

chart.feature_histogram(my_sample, property, **options)

Generate histogram and set a maximum number of bins:

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chart.feature_histogram(my_sample, property, maxBuckets=30, **options)

chart.feature_histogram(my_sample, property, maxBuckets=30, **options)

Generate histogram and set a minimum bin size:

In [ ]:

chart.feature_histogram(my_sample, property, minBucketWidth=0.5, **options)

chart.feature_histogram(my_sample, property, minBucketWidth=0.5, **options)

Generate histogram, set a maximum number of bins and a minimum bin size:

In [ ]:

chart.feature_histogram(my_sample, property, minBucketWidth=3, maxBuckets=30, **options)

chart.feature_histogram(my_sample, property, minBucketWidth=3, maxBuckets=30, **options)