{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Pretty rendering in RasterFrames" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Setup Spark Environment\n", "\n", "Minimal imports" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import pyrasterframes\n", "import pyrasterframes.rf_ipython\n", "from pyrasterframes.utils import create_rf_spark_session\n", "from pyrasterframes.rasterfunctions import rf_crs, rf_extent, rf_tile\n", "from pyspark.sql.functions import col" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "spark = create_rf_spark_session()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Read an EO raster source " ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "uri = 'https://modis-pds.s3.amazonaws.com/MCD43A4.006/31/11/2017158/' \\\n", " 'MCD43A4.A2017158.h31v11.006.2017171203421_B01.TIF'\n", "\n", "# here we flatten the projected raster structure \n", "df = spark.read.raster(uri) \\\n", " .withColumn('tile', rf_tile('proj_raster')) \\\n", " .withColumn('crs', rf_crs(col('proj_raster'))) \\\n", " .withColumn('ext', rf_extent(col('proj_raster'))) \\\n", " .drop('proj_raster')" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "root\n", " |-- proj_raster_path: string (nullable = false)\n", " |-- tile: tile (nullable = true)\n", " |-- crs: struct (nullable = true)\n", " | |-- crsProj4: string (nullable = false)\n", " |-- ext: struct (nullable = true)\n", " | |-- xmin: double (nullable = false)\n", " | |-- ymin: double (nullable = false)\n", " | |-- xmax: double (nullable = false)\n", " | |-- ymax: double (nullable = false)\n", "\n" ] } ], "source": [ "df.printSchema()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Rendering of python `Tile` object in Jupyter / IPython \n", "\n", "A `pyrasterframes.rf_types.Tile` will automatically render nicely in Jupyter or IPython.\n", "\n", "A `pandas.DataFrame` containing a `Tile` column will automatically render nicely in Jupyter or IPython." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "tile = df.select(df.tile).first()['tile']" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "Tile(masked_array(\n", " data=[[1225, 1244, 1247, ..., 1305, 1245, 1206],\n", " [1166, 1188, 1190, ..., 1381, 1251, 1193],\n", " [1156, 1110, 1122, ..., 1248, 1245, 1270],\n", " ...,\n", " [1485, 1749, 1761, ..., 1034, 996, 998],\n", " [1780, 1777, 1663, ..., 1008, 1027, 1174],\n", " [1728, 1647, 1562, ..., 1189, 1297, 1382]],\n", " mask=[[False, False, False, ..., False, False, False],\n", " [False, False, False, ..., False, False, False],\n", " [False, False, False, ..., False, False, False],\n", " ...,\n", " [False, False, False, ..., False, False, False],\n", " [False, False, False, ..., False, False, False],\n", " [False, False, False, ..., False, False, False]],\n", " fill_value=32767,\n", " dtype=int16), int16ud32767)" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "tile" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "You can also still access the string representation easily." ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "'Tile(dimensions=[256, 256], cell_type=CellType(int16ud32767, 32767), cells=\\n[[1225 1244 1247 ... 1305 1245 1206]\\n [1166 1188 1190 ... 1381 1251 1193]\\n [1156 1110 1122 ... 1248 1245 1270]\\n ...\\n [1485 1749 1761 ... 1034 996 998]\\n [1780 1777 1663 ... 1008 1027 1174]\\n [1728 1647 1562 ... 1189 1297 1382]])'" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "str(tile)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "And access the tile's `cells` member which is a numpy ndarray, or more specifically in this case a numpy.ma.MaskedArray." ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "masked_array(\n", " data=[[1225, 1244, 1247, ..., 1305, 1245, 1206],\n", " [1166, 1188, 1190, ..., 1381, 1251, 1193],\n", " [1156, 1110, 1122, ..., 1248, 1245, 1270],\n", " ...,\n", " [1485, 1749, 1761, ..., 1034, 996, 998],\n", " [1780, 1777, 1663, ..., 1008, 1027, 1174],\n", " [1728, 1647, 1562, ..., 1189, 1297, 1382]],\n", " mask=[[False, False, False, ..., False, False, False],\n", " [False, False, False, ..., False, False, False],\n", " [False, False, False, ..., False, False, False],\n", " ...,\n", " [False, False, False, ..., False, False, False],\n", " [False, False, False, ..., False, False, False],\n", " [False, False, False, ..., False, False, False]],\n", " fill_value=32767,\n", " dtype=int16)" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "tile.cells" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Spark DataFrame \n", "\n", "There is also a capability for HTML rendering of the spark DataFrame. Rendering work is done on the JVM and the HTML string representation is provided for Jupyter to display." ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
Showing only top 5 rows
proj_raster_pathtilecrsext
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" ], "text/markdown": [ "\n", "_Showing only top 5 rows_.\n", "\n", "| proj_raster_path | tile | crs | ext |\n", "|---|---|---|---|\n", "| https://modis-pds.s3.amazonaws.com/MCD43A4.006/31/11/2017158/MCD43A4.A2017158.h31v11.006.2017171203421_B01.TIF | | \\[+proj=sinu +lon_0=0 +x_0=0 +y_0=0 +a=6371007.181 +b=6371007.181 +units=m +no_defs ] | \\[1.4455356755667E7, -2342509.0947640934, 1.4573964811098093E7, -2223901.039333] |\n", "| https://modis-pds.s3.amazonaws.com/MCD43A4.006/31/11/2017158/MCD43A4.A2017158.h31v11.006.2017171203421_B01.TIF | | \\[+proj=sinu +lon_0=0 +x_0=0 +y_0=0 +a=6371007.181 +b=6371007.181 +units=m +no_defs ] | \\[1.4573964811098093E7, -2342509.0947640934, 1.4692572866529187E7, -2223901.039333] |\n", "| https://modis-pds.s3.amazonaws.com/MCD43A4.006/31/11/2017158/MCD43A4.A2017158.h31v11.006.2017171203421_B01.TIF | | \\[+proj=sinu +lon_0=0 +x_0=0 +y_0=0 +a=6371007.181 +b=6371007.181 +units=m +no_defs ] | \\[1.4692572866529185E7, -2342509.0947640934, 1.481118092196028E7, -2223901.039333] |\n", "| https://modis-pds.s3.amazonaws.com/MCD43A4.006/31/11/2017158/MCD43A4.A2017158.h31v11.006.2017171203421_B01.TIF | | \\[+proj=sinu +lon_0=0 +x_0=0 +y_0=0 +a=6371007.181 +b=6371007.181 +units=m +no_defs ] | \\[1.481118092196028E7, -2342509.0947640934, 1.4929788977391373E7, -2223901.039333] |\n", "| https://modis-pds.s3.amazonaws.com/MCD43A4.006/31/11/2017158/MCD43A4.A2017158.h31v11.006.2017171203421_B01.TIF | | \\[+proj=sinu +lon_0=0 +x_0=0 +y_0=0 +a=6371007.181 +b=6371007.181 +units=m +no_defs ] | \\[1.4929788977391373E7, -2342509.0947640934, 1.5048397032822467E7, -2223901.039333] |" ], "text/plain": [ "DataFrame[proj_raster_path: string, tile: udt, crs: struct, ext: struct]" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## `pandas.DataFrame` example" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "If a Pandas DataFrame contains a column of `Tile`s, the same image rendering is done to the column. \n", "\n", "In this output you may like to double-click a cell in the `tile2` column to \"expand\" the rows to full size rendering of the tile image." ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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proj_raster_pathtilecrsext
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" ], "text/plain": [ " proj_raster_path \\\n", "0 https://modis-pds.s3.amazonaws.com/MCD43A4.006... \n", "1 https://modis-pds.s3.amazonaws.com/MCD43A4.006... \n", "2 https://modis-pds.s3.amazonaws.com/MCD43A4.006... \n", "3 https://modis-pds.s3.amazonaws.com/MCD43A4.006... \n", "\n", " tile \\\n", "0 Tile(dimensions=[256, 256], cell_type=CellType... \n", "1 Tile(dimensions=[256, 256], cell_type=CellType... \n", "2 Tile(dimensions=[256, 256], cell_type=CellType... \n", "3 Tile(dimensions=[256, 256], cell_type=CellType... \n", "\n", " crs \\\n", "0 (+proj=sinu +lon_0=0 +x_0=0 +y_0=0 +a=6371007.... \n", "1 (+proj=sinu +lon_0=0 +x_0=0 +y_0=0 +a=6371007.... \n", "2 (+proj=sinu +lon_0=0 +x_0=0 +y_0=0 +a=6371007.... \n", "3 (+proj=sinu +lon_0=0 +x_0=0 +y_0=0 +a=6371007.... \n", "\n", " ext \n", "0 (14455356.755667, -2342509.0947640934, 1457396... \n", "1 (14573964.811098093, -2342509.0947640934, 1469... \n", "2 (14692572.866529185, -2342509.0947640934, 1481... \n", "3 (14811180.92196028, -2342509.0947640934, 14929... " ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pandas_df = df.limit(10).toPandas()\n", "pandas_df.head(4)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "You still get the default string representatation of a `pandas.Series`" ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/plain": [ "proj_raster_path https://modis-pds.s3.amazonaws.com/MCD43A4.006...\n", "tile Tile(dimensions=[256, 256], cell_type=CellType...\n", "crs (+proj=sinu +lon_0=0 +x_0=0 +y_0=0 +a=6371007....\n", "ext (15404221.199115746, -2342509.0947640934, 1552...\n", "Name: 8, dtype: object" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pandas_df.iloc[8]" ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/plain": [ "0 Tile(dimensions=[256, 256], cell_type=CellType...\n", "1 Tile(dimensions=[256, 256], cell_type=CellType...\n", "2 Tile(dimensions=[256, 256], cell_type=CellType...\n", "3 Tile(dimensions=[256, 256], cell_type=CellType...\n", "4 Tile(dimensions=[256, 256], cell_type=CellType...\n", "5 Tile(dimensions=[256, 256], cell_type=CellType...\n", "6 Tile(dimensions=[256, 256], cell_type=CellType...\n", "7 Tile(dimensions=[256, 256], cell_type=CellType...\n", "8 Tile(dimensions=[256, 256], cell_type=CellType...\n", "9 Tile(dimensions=[96, 256], cell_type=CellType(...\n", "Name: tile, dtype: object" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pandas_df.tile" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "And nothing different happens for a `pandas.DataFrame` that doesn't have a `Tile` in it." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "import pandas\n", "pandas.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/2011_february_us_airport_traffic.csv').head(10)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.6.5" } }, "nbformat": 4, "nbformat_minor": 2 }