{ "cells": [ { "cell_type": "markdown", "id": "c1d2e3f40001", "metadata": {}, "source": "# Time Series - Comparing" }, { "cell_type": "markdown", "id": "c1d2e3f40002", "metadata": {}, "source": [ "It's common to want a quick visual comparison between two time series -- two sensors, two sites, before/after a data-cleaning step, and so on. `TimeSeries.view_compare_times_series()` is a static method that overlays two `TimeSeries` objects on a shared time axis, alongside a histogram and CDF, so their distributions can be compared at a glance.\n", "\n", "Covered here:\n", "\n", "- Loading two independent `TimeSeries` objects\n", "- Calling `view_compare_times_series()` inline (`return_fig=True`)\n", "- Setting per-series colors via `view_specs`\n", "- Saving the comparison to a file instead of displaying it inline" ] }, { "cell_type": "markdown", "id": "c1d2e3f40003", "metadata": {}, "source": [ "## Notebook setup\n", "\n", "For users running this tutorial as a Jupyter Notebook, this cell must be executed first:" ] }, { "cell_type": "code", "id": "c1d2e3f40004", "metadata": { "ExecuteTime": { "end_time": "2026-08-25T20:12:09.842570Z", "start_time": "2026-08-25T20:12:09.277964Z" } }, "source": [ "import sys\n", "from pathlib import Path\n", "import numpy as np\n", "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "\n", "# Install `plans` in `google.colab`.\n", "# Use `pip install plans` for other environments.\n", "\n", "if \"google.colab\" in sys.modules:\n", " import os\n", " os.system(f\"{sys.executable} -m pip install -q plans\")\n", "\n", "# This avoids warnings related to uninstalled fonts\n", "import logging\n", "logging.getLogger('matplotlib.font_manager').setLevel(logging.ERROR)\n", "\n", "# define output folder\n", "OUTPUT_DIR = Path(\"outputs/time-series\")\n", "OUTPUT_DIR.mkdir(parents=True, exist_ok=True)\n", "print(f\"Outputs will be saved to: ./{OUTPUT_DIR}\")\n", "\n", "RNG_SEED = 1\n", "np.random.seed(RNG_SEED)" ], "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Outputs will be saved to: ./outputs\\time-series\n" ] } ], "execution_count": 1 }, { "cell_type": "markdown", "id": "c1d2e3f40006", "metadata": {}, "source": [ "## Create two synthetic series to compare\n", "\n", "Two Trend-Seasonality-Noise archetype series with different bases, trends, and noise levels -- a stand-in for, e.g., two different sensors or sites over the same period." ] }, { "cell_type": "code", "id": "c1d2e3f40007", "metadata": { "ExecuteTime": { "end_time": "2026-08-25T20:12:09.986262Z", "start_time": "2026-08-25T20:12:09.849811Z" } }, "source": [ "from plans.datasets import TimeSeries\n", "\n", "df_site_a = TimeSeries.make_synthetic_tsn(\n", " start=\"2020-01-01\",\n", " end=\"2020-02-01\",\n", " base=100,\n", " freq=\"1h\",\n", " trend=0.001,\n", " noise_sd=4.0,\n", " amplitude=50,\n", " seasonal_period=\"YS\",\n", " minor_amplitude=20,\n", " minor_seasonal_period=\"D\"\n", ")\n", "\n", "df_site_b = TimeSeries.make_synthetic_tsn(\n", " start=\"2020-01-01\",\n", " end=\"2020-02-01\",\n", " base=120,\n", " freq=\"1h\",\n", " trend=-0.002,\n", " noise_sd=6.0,\n", " amplitude=30,\n", " seasonal_period=\"YS\",\n", " minor_amplitude=15,\n", " minor_seasonal_period=\"D\"\n", ")\n", "\n", "print(f\"Site A rows: {len(df_site_a)}\")\n", "print(f\"Site B rows: {len(df_site_b)}\")" ], "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Site A rows: 745\n", "Site B rows: 745\n" ] } ], "execution_count": 2 }, { "cell_type": "markdown", "id": "c1d2e3f40008", "metadata": {}, "source": "## Save and load both as `TimeSeries` objects" }, { "cell_type": "code", "id": "c1d2e3f40009", "metadata": { "ExecuteTime": { "end_time": "2026-08-25T20:12:10.019554Z", "start_time": "2026-08-25T20:12:09.993618Z" } }, "source": [ "file_a = OUTPUT_DIR / \"site_a.csv\"\n", "file_b = OUTPUT_DIR / \"site_b.csv\"\n", "df_site_a.to_csv(file_a, sep=\";\", index=False)\n", "df_site_b.to_csv(file_b, sep=\";\", index=False)\n", "\n", "ts_a = TimeSeries(name=\"Site A\", alias=\"a\")\n", "ts_a.load_data(\n", " file_data=file_a,\n", " input_dtfield=\"datetime\",\n", " input_varfield=\"level\",\n", " in_sep=\";\",\n", ")\n", "\n", "ts_b = TimeSeries(name=\"Site B\", alias=\"b\")\n", "ts_b.load_data(\n", " file_data=file_b,\n", " input_dtfield=\"datetime\",\n", " input_varfield=\"level\",\n", " in_sep=\";\",\n", ")" ], "outputs": [], "execution_count": 3 }, { "cell_type": "markdown", "id": "c1d2e3f4000a", "metadata": {}, "source": [ "## Comparing the two series\n", "\n", "`view_compare_times_series()` is a **static method** on `TimeSeries` -- called on the class itself, not an instance -- taking both series plus a `specs` dict of plot overrides. It draws:\n", "\n", "- the two series overlaid on a shared time axis (left panel)\n", "- a horizontal histogram of each series' distribution (middle panel)\n", "- a CDF with each series' mean annotated (right panel)\n", "\n", "Each series keeps its own color, set via `view_specs[\"color\"]` on each object *before* calling the method, and its own label, taken from `.name`." ] }, { "cell_type": "code", "id": "c1d2e3f4000b", "metadata": { "ExecuteTime": { "end_time": "2026-08-25T20:15:23.033629Z", "start_time": "2026-08-25T20:15:22.847373Z" } }, "source": [ "ts_a.view_specs[\"color\"] = \"tab:blue\"\n", "ts_b.view_specs[\"color\"] = \"tab:orange\"\n", "ts_a.view_specs[\"n_dates\"] = 5\n", "\n", "specs = {\"title\": \"Site A vs Site B\"}\n", "\n", "fig = TimeSeries.view_compare_times_series(\n", " ts_a, ts_b, specs, return_fig=True\n", ")\n", "plt.show()" ], "outputs": [ { "data": { "text/plain": [ "
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" }, "metadata": {}, "output_type": "display_data" } ], "execution_count": 9 }, { "cell_type": "markdown", "id": "c1d2e3f4000c", "metadata": {}, "source": [ "## Saving to a file\n", "\n", "With `return_fig=False` (the default), the method saves the figure to disk instead of returning it. In that mode, `specs` must also include `\"folder\"` and `\"filename\"` -- these are used to build the output path (`\"{folder}/{filename}.{fig_format}\"`). Note that `dpi` and `fig_format` are **not** read from `specs`; they're always taken from `ts_first.view_specs` regardless of what's passed." ] }, { "cell_type": "code", "id": "c1d2e3f4000d", "metadata": { "ExecuteTime": { "end_time": "2026-08-25T20:12:10.552752Z", "start_time": "2026-08-25T20:12:10.400969Z" } }, "source": [ "specs_save = {\n", " \"title\": \"Site A vs Site B\",\n", " \"folder\": str(OUTPUT_DIR),\n", " \"filename\": \"site_a_vs_site_b\",\n", "}\n", "\n", "TimeSeries.view_compare_times_series(\n", " ts_a, ts_b, specs_save, show=False, return_fig=False\n", ")\n", "\n", "saved_path = OUTPUT_DIR / f\"site_a_vs_site_b.{ts_a.view_specs['fig_format']}\"\n", "print(f\"Saved to: {saved_path}\")\n", "print(f\"Exists: {saved_path.exists()}\")" ], "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Saved to: outputs\\time-series\\site_a_vs_site_b.jpg\n", "Exists: True\n" ] } ], "execution_count": 5 }, { "cell_type": "markdown", "id": "c1d2e3f4000e", "metadata": {}, "source": [ "## Note: `view_specs` is mutated in place\n", "\n", "Both `ts_a.view_specs` and `ts_b.view_specs` are updated in place by the call above -- the contents of `specs` get merged in, along with layout and color settings the method sets internally. If you plan to call `.view()` on either series afterward expecting its *original* single-series layout, be aware the specs have changed:" ] }, { "cell_type": "code", "id": "c1d2e3f4000f", "metadata": { "ExecuteTime": { "end_time": "2026-08-25T20:12:10.563354Z", "start_time": "2026-08-25T20:12:10.559972Z" } }, "source": [ "print(f\"ts_a.view_specs['title'] after comparison call: {ts_a.view_specs['title']!r}\")\n", "print(f\"ts_a.view_specs['layout'] after comparison call: {ts_a.view_specs['layout']!r}\")" ], "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "ts_a.view_specs['title'] after comparison call: 'Site A vs Site B'\n", "ts_a.view_specs['layout'] after comparison call: 'mini'\n" ] } ], "execution_count": 6 }, { "cell_type": "markdown", "id": "c1d2e3f40010", "metadata": {}, "source": [ "## Recap\n", "\n", "- `TimeSeries.view_compare_times_series(ts1, ts2, specs, ...)` is a static method that overlays two series with a shared histogram/CDF comparison.\n", "- Set each series' `view_specs[\"color\"]` beforehand to control which color it's plotted in; the label comes from `.name`.\n", "- Use `return_fig=True` for inline display (e.g. in a notebook); omit it (or set `False`) to save to `\"{folder}/{filename}.{fig_format}\"`, in which case `specs` must include `\"folder\"` and `\"filename\"`.\n", "- Both input objects' `view_specs` are mutated in place by the call -- pass copies if you need the originals preserved for later single-series `.view()` calls." ] } ], "metadata": { "language_info": { "name": "python" } }, "nbformat": 4, "nbformat_minor": 5 }