{ "cells": [ { "cell_type": "code", "execution_count": 1, "id": "cec68756-107d-4cb0-a8e5-c53191ccf1eb", "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", " \n", " \n", " " ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import numpy as np\n", "import pandas as pd\n", "from IPython.display import Image, HTML\n", "\n", "from lets_plot import *\n", "from lets_plot.tilesets import CARTO_POSITRON, CARTO_POSITRON_HIRES, NASA_CITYLIGHTS_2012\n", "\n", "LetsPlot.setup_html()" ] }, { "cell_type": "code", "execution_count": 2, "id": "ed6f028f-6720-4a73-826c-87c042ad77d8", "metadata": {}, "outputs": [], "source": [ "def save_and_show(p, name, scale=1):\n", " print(\"HTML:\")\n", " p.show()\n", "\n", " path = ggsave(p, name, scale=scale)\n", " \n", " print(path)\n", " display(Image(path))" ] }, { "cell_type": "markdown", "id": "45509d24-bb65-40a1-ada7-ea3294279d8b", "metadata": {}, "source": [ "Lets-Plot vector tiles" ] }, { "cell_type": "code", "execution_count": 3, "id": "24b0bcb0-7547-4925-8073-7752b6e775d4", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "HTML:\n" ] }, { "data": { "text/html": [ "
\n", " " ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "TileWebSocket.connect() failed: TLS sessions are not supported on Native platform.\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "kotlin.IllegalStateException: TLS sessions are not supported on Native platform.\n", " at 0 lets_plot_kotlin_bridge.cpython-312-x86_64-linux-gnu.so 0x7c08a94d968d 0x0 + 136376642016909 \n", " at 1 lets_plot_kotlin_bridge.cpython-312-x86_64-linux-gnu.so 0x7c08a94d4249 0x0 + 136376641995337 \n", " at 2 lets_plot_kotlin_bridge.cpython-312-x86_64-linux-gnu.so 0x7c08a94d4579 0x0 + 136376641996153 \n", " at 3 lets_plot_kotlin_bridge.cpython-312-x86_64-linux-gnu.so 0x7c08a94d4109 0x0 + 136376641995017 \n", " at 4 lets_plot_kotlin_bridge.cpython-312-x86_64-linux-gnu.so 0x7c08aa1726f0 0x0 + 136376655226608 \n", " at 5 lets_plot_kotlin_bridge.cpython-312-x86_64-linux-gnu.so 0x7c08aa1720c3 0x0 + 136376655225027 \n", " at 6 lets_plot_kotlin_bridge.cpython-312-x86_64-linux-gnu.so 0x7c08aa1724fc 0x0 + 136376655226108 \n", " at 7 lets_plot_kotlin_bridge.cpython-312-x86_64-linux-gnu.so 0x7c08aa171c96 0x0 + 136376655223958 \n", " at 8 lets_plot_kotlin_bridge.cpython-312-x86_64-linux-gnu.so 0x7c08aa17de28 0x0 + 136376655273512 \n", " at 9 lets_plot_kotlin_bridge.cpython-312-x86_64-linux-gnu.so 0x7c08aa3a2743 0x0 + 136376657520451 \n", " at 10 lets_plot_kotlin_bridge.cpython-312-x86_64-linux-gnu.so 0x7c08a94dfd73 0x0 + 136376642043251 \n", " at 11 lets_plot_kotlin_bridge.cpython-312-x86_64-linux-gnu.so 0x7c08aa3a27e9 0x0 + 136376657520617 \n", " at 12 lets_plot_kotlin_bridge.cpython-312-x86_64-linux-gnu.so 0x7c08a968b258 0x0 + 136376643793496 \n", " at 13 lets_plot_kotlin_bridge.cpython-312-x86_64-linux-gnu.so 0x7c08aa3af3db 0x0 + 136376657572827 \n", " at 14 lets_plot_kotlin_bridge.cpython-312-x86_64-linux-gnu.so 0x7c08a961a644 0x0 + 136376643331652 \n", " at 15 lets_plot_kotlin_bridge.cpython-312-x86_64-linux-gnu.so 0x7c08aa3a27e9 0x0 + 136376657520617 \n", " at 16 lets_plot_kotlin_bridge.cpython-312-x86_64-linux-gnu.so 0x7c08a94e005c 0x0 + 136376642043996 \n", " at 17 lets_plot_kotlin_bridge.cpython-312-x86_64-linux-gnu.so 0x7c08aa3a27e9 0x0 + 136376657520617 \n", " at 18 lets_plot_kotlin_bridge.cpython-312-x86_64-linux-gnu.so 0x7c08a9682129 0x0 + 136376643756329 \n", " at 19 lets_plot_kotlin_bridge.cpython-312-x86_64-linux-gnu.so 0x7c08aa3b1170 0x0 + 136376657580400 \n", " at 20 lets_plot_kotlin_bridge.cpython-312-x86_64-linux-gnu.so 0x7c08a9685bd0 0x0 + 136376643771344 \n", " at 21 lets_plot_kotlin_bridge.cpython-312-x86_64-linux-gnu.so 0x7c08aa3b1170 0x0 + 136376657580400 \n", " at 22 lets_plot_kotlin_bridge.cpython-312-x86_64-linux-gnu.so 0x7c08a96aa713 0x0 + 136376643921683 \n", " at 23 lets_plot_kotlin_bridge.cpython-312-x86_64-linux-gnu.so 0x7c08aa3a2743 0x0 + 136376657520451 \n", " at 24 lets_plot_kotlin_bridge.cpython-312-x86_64-linux-gnu.so 0x7c08a94dfd73 0x0 + 136376642043251 \n", " at 25 lets_plot_kotlin_bridge.cpython-312-x86_64-linux-gnu.so 0x7c08aa3a27e9 0x0 + 136376657520617 \n", " at 26 lets_plot_kotlin_bridge.cpython-312-x86_64-linux-gnu.so 0x7c08a9682129 0x0 + 136376643756329 \n", " at 27 lets_plot_kotlin_bridge.cpython-312-x86_64-lin" ] }, { "name": "stdout", "output_type": "stream", "text": [ "/home/ikupriyanov/Projects/lets-plot/docs/dev/notebooks/lets-plot-images/geom_livemap_vector.png\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "ux-gnu.so 0x7c08aa3b1170 0x0 + 136376657580400 \n", " at 28 lets_plot_kotlin_bridge.cpython-312-x86_64-linux-gnu.so 0x7c08a962e50b 0x0 + 136376643413259 \n", " at 29 lets_plot_kotlin_bridge.cpython-312-x86_64-linux-gnu.so 0x7c08aa3b0fa3 0x0 + 136376657579939 \n", " at 30 lets_plot_kotlin_bridge.cpython-312-x86_64-linux-gnu.so 0x7c08a96a1dc7 0x0 + 136376643886535 \n", " at 31 lets_plot_kotlin_bridge.cpython-312-x86_64-linux-gnu.so 0x7c08a96a15cb 0x0 + 136376643884491 \n", " at 32 lets_plot_kotlin_bridge.cpython-312-x86_64-linux-gnu.so 0x7c08a96a17e4 0x0 + 136376643885028 \n", " at 33 lets_plot_kotlin_bridge.cpython-312-x86_64-linux-gnu.so 0x7c08a96a78fb 0x0 + 136376643909883 \n", " at 34 lets_plot_kotlin_bridge.cpython-312-x86_64-linux-gnu.so 0x7c08a96a991f 0x0 + 136376643918111 \n", " at 35 lets_plot_kotlin_bridge.cpython-312-x86_64-linux-gnu.so 0x7c08a96a996f 0x0 + 136376643918191 \n", " at 36 lets_plot_kotlin_bridge.cpython-312-x86_64-linux-gnu.so 0x7c08aa3a0d08 0x0 + 136376657513736 \n", " at 37 lets_plot_kotlin_bridge.cpython-312-x86_64-linux-gnu.so 0x7c08a94eb4d8 0x0 + 136376642090200 \n", " at 38 lets_plot_kotlin_bridge.cpython-312-x86_64-linux-gnu.so 0x7c08aa479098 0x0 + 136376658399384 \n", " at 39 lets_plot_kotlin_bridge.cpython-312-x86_64-linux-gnu.so 0x7c08aa478131 0x0 + 136376658395441 \n", " at 40 libc.so.6 0x7c09fe49caa3 0x0 + 136382362798755 \n", " at 41 libc.so.6 0x7c09fe529c6b 0x0 + 136382363376747 \n" ] }, { "data": { "image/png": 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", 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