{ "cells": [ { "cell_type": "markdown", "id": "0", "metadata": {}, "source": [ "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/gee-community/geemap/blob/master/examples/notebooks/79_chart_histogram.ipynb)" ] }, { "cell_type": "markdown", "id": "1", "metadata": {}, "source": [ "Uncomment the following line to install [geemap](https://geemap.org) if needed." ] }, { "cell_type": "code", "execution_count": null, "id": "2", "metadata": {}, "outputs": [], "source": [ "# !pip install geemap" ] }, { "cell_type": "markdown", "id": "3", "metadata": {}, "source": [ "Install the necessary libraries." ] }, { "cell_type": "code", "execution_count": null, "id": "4", "metadata": {}, "outputs": [], "source": [ "import ee\n", "import geemap\n", "import geemap.chart as chart" ] }, { "cell_type": "markdown", "id": "5", "metadata": {}, "source": [ "Initialize GEE." ] }, { "cell_type": "code", "execution_count": null, "id": "6", "metadata": {}, "outputs": [], "source": [ "geemap.ee_initialize()" ] }, { "cell_type": "markdown", "id": "7", "metadata": {}, "source": [ "Set the data and plot options." ] }, { "cell_type": "code", "execution_count": null, "id": "8", "metadata": {}, "outputs": [], "source": [ "source = ee.ImageCollection(\"OREGONSTATE/PRISM/Norm81m\").toBands()\n", "region = ee.Geometry.Rectangle(-123.41, 40.43, -116.38, 45.14)\n", "my_sample = source.sample(region, 5000)\n", "property = \"07_ppt\"" ] }, { "cell_type": "code", "execution_count": null, "id": "9", "metadata": {}, "outputs": [], "source": [ "options = {\n", " \"title\": \"July Precipitation Distribution for NW USA\",\n", " \"xlabel\": \"Precipitation (mm)\",\n", " \"ylabel\": \"Pixel count\",\n", " \"colors\": [\"#1d6b99\"],\n", "}" ] }, { "cell_type": "markdown", "id": "10", "metadata": {}, "source": [ "Generate histogram with default number of bins:" ] }, { "cell_type": "code", "execution_count": null, "id": "11", "metadata": {}, "outputs": [], "source": [ "chart.feature_histogram(my_sample, property, **options)" ] }, { "cell_type": "markdown", "id": "12", "metadata": {}, "source": [ "![](https://i.imgur.com/zgzpfvb.gif)" ] }, { "cell_type": "markdown", "id": "13", "metadata": {}, "source": [ "Generate histogram and set a maximum number of bins:" ] }, { "cell_type": "code", "execution_count": null, "id": "14", "metadata": {}, "outputs": [], "source": [ "chart.feature_histogram(my_sample, property, maxBuckets=30, **options)" ] }, { "cell_type": "markdown", "id": "15", "metadata": {}, "source": [ "![](https://i.imgur.com/WV7aB1e.gif)" ] }, { "cell_type": "markdown", "id": "16", "metadata": {}, "source": [ "Generate histogram and set a minimum bin size:" ] }, { "cell_type": "code", "execution_count": null, "id": "17", "metadata": {}, "outputs": [], "source": [ "chart.feature_histogram(my_sample, property, minBucketWidth=0.5, **options)" ] }, { "cell_type": "markdown", "id": "18", "metadata": {}, "source": [ "Generate histogram, set a maximum number of bins and a minimum bin size:" ] }, { "cell_type": "code", "execution_count": null, "id": "19", "metadata": {}, "outputs": [], "source": [ "chart.feature_histogram(my_sample, property, minBucketWidth=3, maxBuckets=30, **options)" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" } }, "nbformat": 4, "nbformat_minor": 5 }