{ "nbformat": 4, "nbformat_minor": 0, "metadata": { "colab": { "name": "Activity 2 Data Visualization.ipynb", "provenance": [], "collapsed_sections": [], "toc_visible": true }, "kernelspec": { "name": "python3", "display_name": "Python 3" } }, "cells": [ { "cell_type": "markdown", "metadata": { "id": "QxxH0AcX15bs", "colab_type": "text" }, "source": [ "# Activity 2 - Data Visualization\n", "**2020 Data Labs REU**\n", "\n", "*Written by Sage Lichtenwalner, Rutgers University, June 12, 2020*\n", "\n", "In this notebook we will cover some of basics of plotting in python, primarily using the [matplotlib](https://matplotlib.org) library. We've actually already used this library, as it is built into the pandas and xarray libraries to provide quick plotting capabilities. But if we want to customize our charts, it's often better to create them directly using matplotlib function calls.\n", "\n", "The examples today will continue to use the mooring timeseries data available from [NDBC](https://www.ndbc.noaa.gov) in order to demonstrate timeseries, scatterplots, histograms and box plots.\n", "\n", "For an example of other graph types commonly seen in oceanography, including profiles and TS diagrams, check out Bonus Activity 4, which demonstrates how to load and plot profile data from the [ARGO](https://www.aoml.noaa.gov/phod/argo/) drifter network." ] }, { "cell_type": "code", "metadata": { "id": "2RFwIGGoqOAc", "colab_type": "code", "outputId": "83cd27cb-9f90-4681-95d4-462ef09a87a9", "colab": { "base_uri": "https://localhost:8080/", "height": 68 } }, "source": [ "# Notebook setup\n", "import xarray as xr\n", "!pip install netcdf4\n", "\n", "import matplotlib.pyplot as plt" ], "execution_count": 0, "outputs": [ { "output_type": "stream", "text": [ "Requirement already satisfied: netcdf4 in /usr/local/lib/python3.6/dist-packages (1.5.3)\n", "Requirement already satisfied: numpy>=1.7 in /usr/local/lib/python3.6/dist-packages (from netcdf4) (1.18.5)\n", "Requirement already satisfied: cftime in /usr/local/lib/python3.6/dist-packages (from netcdf4) (1.1.3)\n" ], "name": "stdout" } ] }, { "cell_type": "markdown", "metadata": { "id": "wz9cADfDiJrB", "colab_type": "text" }, "source": [ "# NDBC Timeseries\n", "Following our example from yesterday, let's load some timeseries data from an NDBC mooring. We will use this dataset to show how to customize your plot." ] }, { "cell_type": "code", "metadata": { "id": "EhkuiP5kqQ7r", "colab_type": "code", "colab": {} }, "source": [ "# Open dataset\n", "ds = xr.open_dataset('https://dods.ndbc.noaa.gov/thredds/dodsC/data/stdmet/44025/44025.ncml')\n", "\n", "# Subset the dataset to 1 year\n", "ds = ds.sel(time=slice('2019-01-01','2020-01-01'))" ], "execution_count": 0, "outputs": [] }, { "cell_type": "markdown", "metadata": { "id": "aoBzRGc0g8f_", "colab_type": "text" }, "source": [ "## Convert Xarray Dataset to Pandas Dataframe\n", "Yesterday we used the power of Xarray to load our NDBC dataset directly from a Thredds server. Xarray is great, especially when dealing with 3D or 4D datasets. But it can overcomplicate things. For example, our NDBC dataset actually loads with 3 dimensions (time, latitude and longitude), but we only need 1 (time).\n", "\n", "Here are a few example plotting calls. Can you tell what's different in the output for each?" ] }, { "cell_type": "code", "metadata": { "id": "gCwKa_iGhyhz", "colab_type": "code", "colab": {} }, "source": [ "# Built in xarray plotting\n", "# ds.sea_surface_temperature.plot();\n", "\n", "# Plot using matplotlib - This won't work\n", "# plt.plot(ds.sea_surface_temperature);\n", "\n", "# Plot using matplotlib - This will, but the units are wrong\n", "# plt.plot(ds.sea_surface_temperature.squeeze())\n", "\n", "# Plot using matplotlib - Correctly plotted with time\n", "# plt.plot(ds.time,ds.sea_surface_temperature.squeeze());" ], "execution_count": 0, "outputs": [] }, { "cell_type": "markdown", "metadata": { "id": "x8bE343DjfyI", "colab_type": "text" }, "source": [ "To simply things, we can convert our Xarray Dataset to a Pandas Dataframe, which will give use something like a spreadsheet of columns for each variable, and rows for each measurement time.\n", "\n", "Here's how easy it is to convert." ] }, { "cell_type": "code", "metadata": { "id": "m-JgymDurD9z", "colab_type": "code", "outputId": "a14bdbb3-5ac7-413c-c1f7-3f6a0c63bec9", "colab": { "base_uri": "https://localhost:8080/", "height": 425 } }, "source": [ "# Convert to Pandas Dataframe\n", "df = ds.to_dataframe()\n", "df.head()" ], "execution_count": 0, "outputs": [ { "output_type": "execute_result", "data": { "text/html": [ "
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" ], "text/plain": [ " wind_dir ... water_level\n", "latitude longitude time ... \n", "40.250999 -73.164001 2019-01-01 00:50:00 135.0 ... NaN\n", " 2019-01-01 01:50:00 127.0 ... NaN\n", " 2019-01-01 02:50:00 137.0 ... NaN\n", " 2019-01-01 03:50:00 150.0 ... NaN\n", " 2019-01-01 04:50:00 168.0 ... NaN\n", "\n", "[5 rows x 13 columns]" ] }, "metadata": { "tags": [] }, "execution_count": 4 } ] }, { "cell_type": "markdown", "metadata": { "id": "yKEsomTbj8jd", "colab_type": "text" }, "source": [ "Unfortunately, there's still a bit of complexity here because of the multi-dimensional index. If we try to plot this now, we get some crazy labels." ] }, { "cell_type": "code", "metadata": { "id": "FzuWgc81j5Ot", "colab_type": "code", "outputId": "4e8419c5-ebdd-4e6c-fbb7-355a8375d969", "colab": { "base_uri": "https://localhost:8080/", "height": 279 } }, "source": [ "df.sea_surface_temperature.plot();" ], "execution_count": 0, "outputs": [ { "output_type": "display_data", "data": { "image/png": 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" ] }, "metadata": { "tags": [], "needs_background": "light" } } ] }, { "cell_type": "markdown", "metadata": { "id": "u7n-GfWXkO7S", "colab_type": "text" }, "source": [ "Here's how we can properly convert this Dataset to a Dataframe." ] }, { "cell_type": "code", "metadata": { "id": "aR1ASIUsqbjH", "colab_type": "code", "outputId": "e577e75d-dafd-4931-9b76-daee0ed3550a", "colab": { "base_uri": "https://localhost:8080/", "height": 425 } }, "source": [ "# Convert to Pandas Dataframe\n", "df = ds.to_dataframe().reset_index().set_index('time')\n", "df.head()" ], "execution_count": 0, "outputs": [ { "output_type": "execute_result", "data": { "text/html": [ "
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latitudelongitudewind_dirwind_spdgustwave_heightdominant_wpdaverage_wpdmean_wave_dirair_pressureair_temperaturesea_surface_temperaturedewpt_temperaturevisibilitywater_level
time
2019-01-01 00:50:0040.250999-73.164001135.011.314.11.5600:00:05.55999900:00:04.710000153.01018.4000248.17.1NaNNaNNaN
2019-01-01 01:50:0040.250999-73.164001127.011.214.01.9200:00:05.88000000:00:05.090000135.01016.5999768.37.1NaNNaNNaN
2019-01-01 02:50:0040.250999-73.164001137.012.715.32.2300:00:06.25000000:00:05.219999143.01013.5999768.77.2NaNNaNNaN
2019-01-01 03:50:0040.250999-73.164001150.013.716.92.5200:00:06.67000000:00:05.489999148.01010.7000129.57.2NaNNaNNaN
2019-01-01 04:50:0040.250999-73.164001168.09.511.22.7700:00:07.13999900:00:05.750000141.01010.00000010.27.2NaNNaNNaN
\n", "
" ], "text/plain": [ " latitude longitude ... visibility water_level\n", "time ... \n", "2019-01-01 00:50:00 40.250999 -73.164001 ... NaN NaN\n", "2019-01-01 01:50:00 40.250999 -73.164001 ... NaN NaN\n", "2019-01-01 02:50:00 40.250999 -73.164001 ... NaN NaN\n", "2019-01-01 03:50:00 40.250999 -73.164001 ... NaN NaN\n", "2019-01-01 04:50:00 40.250999 -73.164001 ... NaN NaN\n", "\n", "[5 rows x 15 columns]" ] }, "metadata": { "tags": [] }, "execution_count": 6 } ] }, { "cell_type": "code", "metadata": { "id": "BVWMyXBxkc3R", "colab_type": "code", "outputId": "069d890f-d3dd-453d-ab02-2ef12ace49c3", "colab": { "base_uri": "https://localhost:8080/", "height": 277 } }, "source": [ "# Yes, even Pandas has built in plotting\n", "df.sea_surface_temperature.plot();" ], "execution_count": 0, "outputs": [ { "output_type": "display_data", "data": { "image/png": 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\n", 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" ] }, "metadata": { "tags": [], "needs_background": "light" } } ] }, { "cell_type": "markdown", "metadata": { "id": "UQP0ag8JkZNY", "colab_type": "text" }, "source": [ "And now we're off to the races (again)." ] }, { "cell_type": "markdown", "metadata": { "id": "XByMkKw1BOnv", "colab_type": "text" }, "source": [ "### Exporting Data\n", "One quick aside... Pandas also allows you to quickly export your data, which you can use to load the dataset into another program like Excel. Here's a quick example." ] }, { "cell_type": "code", "metadata": { "id": "Jyk0HSQ8aiHb", "colab_type": "code", "colab": {} }, "source": [ "df[['air_temperature','sea_surface_temperature','wind_spd']].to_csv('44025data.csv')" ], "execution_count": 0, "outputs": [] }, { "cell_type": "markdown", "metadata": { "id": "ZywEndgyzyCF", "colab_type": "text" }, "source": [ "## Customizing Timeseries Plots\n", "[Matplotlib](https://matplotlib.org) provides quite a few ways to customize your plot. " ] }, { "cell_type": "markdown", "metadata": { "id": "UGdAePY-gI4J", "colab_type": "text" }, "source": [ "### Customizing Lines\n", "Here are some of the more common parameters you will typically use when creating your plot.\n", "\n", "* **linewidth** - For example 0.5, 1, 2...\n", "* **linestyle** - For example '-','--', or ':' or other [basic](https://matplotlib.org/api/_as_gen/matplotlib.lines.Line2D.html#matplotlib.lines.Line2D.set_linestyle) or [advanced](https://matplotlib.org/gallery/lines_bars_and_markers/linestyles.html) styles\n", "* [**color**](https://matplotlib.org/gallery/color/named_colors.html)\n", "* [**marker**](https://matplotlib.org/api/markers_api.html#module-matplotlib.markers)\n", "* **label** - The name of the line, used in a legend (see the next section)\n", "\n", "For reference and inspiration, you can also check out the [Matplotlib Gallery](https://matplotlib.org/gallery/index.html)." ] }, { "cell_type": "code", "metadata": { "id": "VWNuGX6krKO0", "colab_type": "code", "outputId": "20f85199-85ba-45b4-c26d-dd50065a9eff", "colab": { "base_uri": "https://localhost:8080/", "height": 282 } }, "source": [ "# Line Example\n", "plt.plot(df.index,df.sea_surface_temperature, color='red', linewidth=3)" ], "execution_count": 0, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "[]" ] }, "metadata": { "tags": [] }, "execution_count": 9 }, { "output_type": "display_data", "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "tags": [], "needs_background": "light" } } ] }, { "cell_type": "code", "metadata": { "id": "pm5IzQ8AsE6f", "colab_type": "code", "outputId": "0664efd3-0f8a-4b97-c169-fedc83c81eab", "colab": { "base_uri": "https://localhost:8080/", "height": 282 } }, "source": [ "# Custom Markers Example\n", "plt.plot(df.index,df.sea_surface_temperature, color='red', linestyle='', \n", " marker='d', markerfacecolor='b', markeredgecolor='g', markersize=5)" ], "execution_count": 0, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "[]" ] }, "metadata": { "tags": [] }, "execution_count": 10 }, { "output_type": "display_data", "data": { "image/png": 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\n", 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" ] }, "metadata": { "tags": [], "needs_background": "light" } } ] }, { "cell_type": "code", "metadata": { "id": "Bl3SyVeyqv2l", "colab_type": "code", "colab": {} }, "source": [ "# Your Turn - Create a graph of air temperature using blue dots" ], "execution_count": 0, "outputs": [] }, { "cell_type": "markdown", "metadata": { "id": "KLhQEBbQqHl5", "colab_type": "text" }, "source": [ "### Customizing the Axis\n", "* Axis Title: `plt.title('Title')`\n", "* Legend: `plt.legend()`\n", "* Axes Labels: `plt.xlabel('Time')` or `plt.ylabel('Temperature')`\n", "* Axes Limits: `plt.ylim([-5,5])`" ] }, { "cell_type": "code", "metadata": { "id": "nfPzhFOmtJCv", "colab_type": "code", "outputId": "efdf4789-a5cc-4197-e473-b694c243410e", "colab": { "base_uri": "https://localhost:8080/", "height": 265 } }, "source": [ "# Incomplete Example\n", "plt.plot(df.index,df.air_temperature, color='red')\n", "plt.plot(df.index,df.sea_surface_temperature, color='blue', label='Sea Surface Temp')\n", "plt.legend();" ], "execution_count": 0, "outputs": [ { "output_type": "display_data", "data": { "image/png": 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Lrdy61Zlm4pFHnAcPkzE0z+gJZP/+G/9jG/KNEX6DwYWefQuwhRoA5LQOTaL2EReErPvd40bQIHUdZUvnUJYDjvU38RyrV4NPbR0HmTgFdFXW0ew4oCaVla0anFw2bPsDvGvF/e/6UtVk4D+hAXUHyWQYY9hNxeDArwc7diiPjb1scFRkWTcdM+M+KTHCbzC4OEJQCL/ldHZTUU3kcnGNLTHaOUxmK9U4/uJWfMupjnafVB4CNWvyE50d6//70wCsKpQREcBtPBE8JsE6BqXKBaudUaVK4Olg5x5rVq9NfCfRn4/px3iu5gWGMYznnaqemwtWmUyA225THptJk6LrZwB9zEQ8TRjyjRF+g8GF3eIH2EBdT+G3M46hVGM7VKnCqcwMrJ9Ef9pkroCUFMqx37FP/U618MU2wKx5gjuYY908nuG/wQ2uhGx6IHjX/rSQ7QOYxAV8HHiSeYf/Y+sWm1U+ahRUqqTGBKQMGO6RUhWFoAeMjfAnJUb4DQYXExjseH+YDE/hL0XQUg64cVq3BqBcpoql7M9HAeEdyahA+3P5LHwn3LV5W6rY/k7Mdax+kludA7cEo4dueb+jWuGRsO1R7gosvzHdNpP49deDy2PGeJYlcDBjBnjVYDYWf1JjhN9gcPFf12Ssf8n0FP4sm0uo/Jknq6IqV10F8+ax5u80Vr+t6jFr4a3HhkD717kickfss2xHqZuGAHKf/B9dUHV1T+W7kN1SbMPTu3YBUvI3R/Mg3uU1b3+/nXrAOHiQ1X+n8ji3qyN88AFi/ToA5MpVoTtKCT16wCWXwF5rMtncuTBhghH+JMd8KgZDBA5QNqyrZ/ora+EqW0hkx45UA6rVs/wkHrnxK789JvKJmzQJLh99dGBR7N/H95zCfDpyAr+EPcSuXZB2JIMG/B223f1XraPG5PGMZi7bqcblvEmtH38klenAlWT/uQZo4tzpieCYAxUrKsv/YlVwhgcfVK8ZGRiSD2PxGwwROEiZEOG/lScDy+Wql/HeUQu+fh04kJE8yP1po1TCtFiwl2asW5dUcunscvt4cWjzbu5fdF7I+h58w2BeZw8VAJgyOZd7GaWKtWNFM3XqFMxSKj0Ku9x5p/O9Fn2Ae605D+VDs4caCh8j/AZDBA5SxpH3/kpepXvvYAxmk5Y+ufq14Gsfe6NGPMh93Fc+nyUR+/YNLr/wgmeT/1mDv4cPSXJX/OnY9gS38Q1n8DpXUoF9nNZ4LRtw1kCYRTeyKlShFOqpZczsNs4T+GT5lMBhywX2L6WDFr+U8NxzsHFjNFdoSDBG+A0lj82bvQVz+XJ4552Q1W6L/9VlXWj2v6sBGMj7VKlfzvs8Wvi1n3uKlYffr2B7tFSrBq1aqeX23qmgm1tJ3X77DWoQKI3BCx3f4HpedLStUWYfOa4nmuGMJn3alIDFv3RzFXbo2i6ffAK33+5ov4ujeIB7uYaXacBadlOR8uzjqd1DVIM1a+Dmm/3rGhgKFOPjN5Q8Lr0Uvv0WTj0VWrRQUTEXXQSTJ8PBg4DTDRPi6mnWjMbAd8//QYe+vUKiagLokEY9Q+v332Pv6/r1wRvFXXfBKmuQVZ+zVCnP3XItm27wfyoBjwFwB49x/TnZMP+go22NP74FWuKFtvgB1r36DVVu7wnnnx9Yl0UaqeSoYvA25tXoS86WNG775WJuBTXwDfCjdy4iQ8FiLH5DyWOflTphry2t8fvvW6IfRBvoN/Mcx7E05DDdbziOsnU9S0kr9PHyU0O4bt1AKCcPPwwTJ6plq+auX23dPVQMWTeKkTBiBEydqgq5HKcqhGXmBmcUT7/KGZq5iKCL55c73ndsm00XyrGfB7gv5FxnblEF5gVWP+3+f0OhY4TfULyZPVtZx7/9FlynreQI1ajK+XhwoqZ9ezW4eZ8ljM/k07dv59FHoXJlZ+SPjVzXT7sb31Pqwn7K/dS7t8rKuUQVxWvA2kC7rs23O/5VM+gRWB7CqwgBe61yj1/TiyNk8KCH8BuSm3iUXqwnhPhOCLFUCPGHEGK4tb6yEOIbIcRK6zWMaWQwJIjJk9XrV7ZKVtrn7pqOuoaGfMJ5Ic3sPP106DpfKldWTxXdrNKKN94Yw84R6NNHJdLxSvQzciSn8a1j1TTOgA8+8DzUlbzGm1zGfsqSLrJo2RJkFe/KXgAd+BmB5CGfeQGDmACoCW6SFP4e/jR0tCaTnRhaKtJQ8MTD4s8GbpFStgA6ATcIIVoAdwIzpJTHADOs9wZDwaKte3vOeT3omp0N1wQLnLRhEefzSeB9HWdpXMAZVRkzHvH8CeHBB6nNJs7iCwA+4Twy8M+ylkYOl/E2ZTkYnHgVJv7+T5qGPf0ErkAimIpKydxx9KXB/792URkKlXiUXtwkpfzFWt4HLAPqAH2BN6xmbwChwcQGQ0FhH4DVApyTEyhaDrDPimnXeGVIrlAhdF1M9O2rMp8lmlGjaMxqAI5id4TGNnSoaHo63fgegOtcUUB+1GAzV/Ba4H1PpnMsK9hKDf7ZX5GJDODPAx53U0OBE1cfvxCiAdAWmAfUsNXZ3QxWVqjQfYYKIRYIIRZs27Ytnt0xFEdOPBH69fPfPn68Enm3hWkfBPVx9djpWet3zzHZfM9H+vRT54zXRHHaaTzB7bzNpZxiCXhE7rgDmls1BzIyeJ+LeLP8DbzIDb67DOy0lips53u6sZlavHbGRMf2MSj31l1bbuIiJtJ06SdehzEUMHETfiFEOeAj4GYppaMKtJRS4qxvYd82TkrZXkrZvlq1avHqjqG4Mn++Ek8/7rlHveoQSJ1dzGbx/0smH3Bh2MHdvrnqHO4C6fkJ0ClQypQhk0Ncyrv4BJuGYh/UyMigFpu5rKpKRbGKxiHNZ8/K5f2b57GdanTjB7Xy3HMdbTqgwjjf3B+sXbBiRdRXEZ7//AeOOSZOBytZxEX4hRClUKL/jpTyY2v1FiFELWt7LSBcBVCDIe/83/8Fi4i700m6hf+rr7hz0UAG8gHfnes/Upu+RSUne6+8GgMY3nk+77wD9erFvfeJIdrkaFZIJ+CcE5BpzUYuo9JRNGYNr7uylnbpmhKattOKFNJUsrmZ+qOS+t91F/Hh2WeD8xoMMRGPqB4BvAosk1Laf0mTgUHW8iCIlIfWYMgj77wD06Y51x06pF61MKWkqIHLs85i82a1ajPeZQ4B9p6iLNdSvy1EfjaZZ+d05JJL4t3xBFLGJ3+Qmzlzgsv2m4UW/n37Av/DwYEhO9j6iTURyz1Y6xGvLxFkl63IJNSs3Y8/zkN+f0NciYfF3wW4DDhNCLHI+uuNmi7YUwixEuiBnj5oMMSD3R4Dlrt2wRYrPcHdd6tXLUxCBG4G6VaEi7vgip2Ora0xggYNQtwXRQJ7aa8BA5wC74dd+LUyr1vnaLLswUlMZADVqltPUG7hr+QdtZ16RJWOrJSiPrfVqyN3x5A44hHVM1tKKaSUraSUbay/L6SUO6SUp0spj5FS9pBS7oxHhw0GABo3hjFjoI0teVjlysFlrSx2V48l/DoNQTjh7/q/YhSEVrMmdO7svc0e7WQXfv3E5KJZxl8MYFKwTq9b+P1Gv61SXpNrXQvAa695NzMUDGbmrqHoMHp0cHnnTrjpJli82Lvt/Pnq1S78g5TnUQu/rq27i6PowHzn/sWhgIgW9WhjUMNd82eWp1Y/aWnh79RJvXboENW5OpdaAMC8ebaV/fur+RQ//BC+f7m5aiKelGY+QD4xwm8oOgwfHn3bl19WVqZOk5CSEpi9a7f4/+ZoPuICFtAhsOugQSFHK5ronPg++XwAf4vfnXhOzxDW0VJ6gtexxyohnj9fvdpnEnvcSFJlNn36uEoKf/SRmk/RrZu3C0/z7LNw1lkqO2ggVaghLxjhNyQ/2dnwvYpFv4aXGMEjkffJyHCqi03IAsVFSKMBf3M1rzh2nTAh3z1ODiIWzHXhNddBoweLdTnI9HQ8sc/49UonkZND3brBoZh//4VWLGYWXYMr/NDuu40bYc8e/3aGiBjhNyQ/Dz4I3bsDMI5reIwRvk33U5afaa9cAW++GdxgE/4UK2PkLcSSeKcIEo3w27fZrXztq7/lFvWqRXzGDPXqJ/x2vPz9ublUr67uyTk5sHQp/E4rbsJy49lTa/j1VYhgaglDnjDCb0h+XLHhmn2UYzGtHOsGM4GO/MzOvWkql73GVnhFC7+bZ56BmTPz3dvk4bTTnK9e+Am/5vjj1avbeo9G+N1typSBnByqV1en3b49WKJgMW3UDE+fQeWQPhvhzxdG+A3Jj0/Qd18+ow2L6cb3PIQK39T54zfNdsULahcFIHwKp1x5JZxyShz6myycfLIS0lNP9W/j9zSgk9fpqCm38PsUgHHg/j8fPAhbtlAjQ40TTJ0KV1wR3JyCZMfmLHzRN5IjR4zw5xMj/IbkR6dWdvGD5Rf+gW6M5CEAKqCyhaz68Fd44QVyESyknWM/0f98vMh3/v1kJEyWTcDf4u/XDw4cCAq/e0JYuNwV338Pr7/uu7naUJVr6aqrQrd9+6Orv198ESzXqG82OTlG+POJEX5DkSWV0CeBaqhEf+fxGT9wMs/wH9qzkNl0CbSxFynZtyuYrydc8EuxxS7g7n+AXeztFn+jRuGFv1s3GDzYd/Nx/OG7bfMW280nK0vVHZg0SS0L26QxI/z5oiR+1Q3FBLev/hAZpBwbrEjVmy+4lf8B0JXZ7LbKER4qfRSg5jSVOyqNPXtKcAqB0qXhwgvVsl/tYHDWEqhSJV+nrNa8GqtWwau1g4VcbuVJAG4acwyXX26VvbS55zh40JlpNSuMS8gQESP8huTkk0+UEL3yim8Tt/AP4AP+3BmsHLUfZ1TJS1zL6tpd+XOzugF8951aX6FCCbX2NTp0M9rUo7pweiTcN5KXX1avlSvTuDFcWe4DTkNFCT3J7YFmb70F55wD27cpN9RmarD9+ffhf+omTm5u0UyjkUSU5K+7IZk53/LDX321bxO38H/OuazZHlpkXJNGNk02zuKbb9T7SO7vEoMuPh+p2ICXUz4WWrSAM88MWuvZ2XxBb3ahnsAu5l1H82rdVebQWmym2j3BSml8/rlx9eQTI/yGIotfWKYft/FUgnpSxNFCHClEs4ZnLaXoSU1V55g/PxCLn8ERjkJNxnqHS0N20amcAT7CMgZ+/JFdHMU8OvIPtfPXpxKKEX5DkcEeeDiHzlELf5cuoSGLptibDV2QJlJ+Iu0KqlUruuO6XT1pac6by4YNzubAwfc+Y9AgeO665QB8RP/A9v58hEBSlW1UZhedmEd3ZgYP8PDDwQlmhrAY4TcUGbIJCtMKmiLD1JaqaCsA8uabznaXXAJVq7r3KMFYs6KpXz98Oy38OrwyVtzC70FmqWwmTICbLtzE6Uz3bLOD4Ie3imNo2dJK8XPPPdCjR976VsIwwm8oMuhsmqCKqOzGO/c7wEZq8+ExI7i663IaNAiuXzg/h3feSWAniyJ33QV//RW5jKFfKmY/3En3tasnHLm5av7An3/yMefzFb1oyJqQZlXYTht+BdTE7odH5bIzzPfB4MQIvyH58JlN+qHtsf8uHvVss/yzFeygMmX4lwtGHMu4Wc1ISYF3uIRLeZt2HVI99yvRpKTguDv6oUM6o419dd8gorD4yc1VM+muvZYK7KMX01hDYyQCiWAnlZhFV5bTjI8I1vF96ukUqrCTHVR2Hm/DBrjoIjMY7CJeNXdfE0JsFUIssa27Xwjxj6sql8EQmfHjPVfbS//Zufba4HKDxqlUxkodbPNZX8J7vM1lcetiiUTHvOY1F340wh/hplKJ3XRlNlXZQSP+og7OcYKq7HCG+NerBxMnwnRvt1FJJV4W/wTgTI/1z9ircsXpXIbiztSpnqsr4J2K97nnoEvKTwBkHJUZ3JBqrPu48qtyrfD223nbPy0tco6fMWOiO1arVnDXXaxMaRaS0SM9HdaudbU/6qhoe1kiiIvwSylnAaa0Yklk7Vq47bboc75Hg1/ZP5bTs01oOE56OnxZ5gJW0iRYJBxMlaZ4o4uk7N+ft/1TU4OFcfyYO9f5ftgw73aZmSAEmfzLOefA7QPX0pFgWa/rL9/n/E6GS/dcAkm0j3+YEOI3yxVkRlKE6IgAACAASURBVF6KIw0bwlNPBWdlxoNVqzxX76Eilcoe4frWP4ZsK39aB5qwWkWe6HKA9h/7kCHBilSGvNFPJVfLs8Uf7RNYw4bB5SuugKZNQ9tYwq/F/fFBy5hHJ+60xn6+/KG8M61DNOmeSxCJFP6xQGOgDbAJrKQpLoQQQ4UQC4QQC7aZ4Oqiy6xZ8TnOu+/CmtAojlwEW6hBhV1/8+wpn4Tu9957Krl7mTLQsqVaZ//hjx8PDzwQnz6WVC6+WFnkl1wSXfudO52um9Klo0u1YE8OV6UKLF8ON9zgbLNihUP49U3+Ue4KNDmzdwofcCFT6GOE30XChF9KuUVKmSOlzAXGAx192o2TUraXUravVq1aorpjSDThEnzFwqXB2ZsSeIQRrKMeN/ACu6lEuS6tKJWSw1Kacyrf8vzTVrRGmTLBoiHaj2wSecUXIeDEE6P/rCtVgubNg+8zMogqlvYPW/ZOPRh8yy3QzpZee9MmZz88ona+npHGQD7gHKbw6/LMkO0ODh2C++4LX/qxGJEw4RdC2Kf39QO8yygZDD5soQZ38wj1WcdLXAfA4bRysG8fzVnOt5zODTd5uA90NE+JTbmZRNhnA2dkqFDNkSP927vRwt+wISxc6NxmLy0ZwYe/6C+Vw2naNPj4Y48GY8eqEp9PlYy0HhHmaEeHEOI9oDtQVQixAbgP6C6EaIMy3NYC1/gewFD0mTNH5dI9++y8H8Ml1DmEivrBg8AbrwZXePmNtaUfTZUoQ2KxC7/+PGIZdA+XOM4u/DaL/0pepUy9qjy/vm/wMKXVd6JXr+AuDnSfdu2Kvm9FmHhF9VwspawlpSwlpawrpXxVSnmZlLKllLKVlPJcKeWmeJzLUMj89JP6wf3oGmBdu1bl0s0PLqsti1DhbtIkZFUoN94IdevCBRdEbmtILHbh10J95ZWhN+xJk/DEffPWFnnFir7C/ypDGNP2Ncdut7zbzvGgsdMdg6jTURhXj8HgwbRp6vW55/J3nNdeU1ka7ezd63hrT9GguemmKI7dvLkqtF6zZj46aIgLXonfGjVSPnV7tM4ZZ3jv7x5P0CZ7nTrhXT2lS3PdRbs4yprMt25HOR56KLj5nntc59GT06RU4wlCFOtMfkb4DbGhf2x+Flq0XHWVGijcY5uUNXSoo8mR3/90vE/nMBUqEHn2pyF58AvhTEtT0TqazAiDr/b9QGUU9bH4AShdmhdHrGcXlbmOF0MOM3YsLF7sc46nn1avDz4YXZ80PXuqJ5EigBF+Q2zEI3rH7uO151v4/HP2UIGXGYoEvv46uGk+HViJlUQsWpEwFD6RUj3fc48yANwuneOPh3XrQtvXr6+ihR5/PLzFn5kZmHD2IjdwY4+lgU06M2ubNrBsmev49u93mOpvALRvr9p//716P316yFNrsmKE3xAb8RD+gweDyxs3qtcdOwC4gRe4lpeZW6k3t96qNo0aBR2O2cPRT9yoVjRrlv8+GAqGSMI/alTobF1Qk/Dq1Qtdn5mpHPTnnRf8Lq5aFWrxlypF4AsEjL5kHgsXwp9/OoODWrSwKnz+aIWd/vVX9H3XB/roI+d6Xd8giTHCb4gNj8lVUaMrL/30U3CddgVYP9xNqCjg8RVuCTQ56STUL/a229SKqVNV/dXffst7XwwFQyTxtLPJFv8RzX46Cuyyy0KFX0ro3Nnxvl07lXn66KNDJ4df/U53RvIg2+baUklHK+DuEKGxY6PbrxApPsI/Z46auWlILK+/HlyOVXg//FC92scH9KCalbtdV9V6/e/TAk2OO851nCpV4L//Dc7QNSQvsQh/2bKx7afDdn/5JVT4c3PVILLGJc6NG6tVjz8eXPcQI3n035uDKy6+OLp+u8NTi0BIaPER/i5dVMY+Q3yZMUNZ6StWhG6bMiW2Y+kfyMGD5CJ4iWvYlGU5XLt2BULr6M6dm/9Sr4ZCJJYMqfZUDdEIv90i97L47TO3fZII3n47gWLvAM8cuYE9VFBvotWTTa5I9SIwcbD4CL8hMehSdqNHh2ZljJCRs2dPWyj9gQPKPQOwZw+/05LreInbVjojeezC37SpGvczFGFisfjtN4loJt/Zhf8NV62G3FznzcDvu5qby1Hs4QWuD6w6ij1soA7b95Sid2/44YcIpXw/ceWOMsJvKPL06aNeTzklNMoiJBjayfTptunx110X3DBlCodQE2aWbXKGv6US/NHo1DuGIkwswg8qhj7a/ewW/YEDzm25uVFZ/Doa6HrG8htB12E9NlDt/hv48kvo1k3ZP489FqYv9vMXgRnjRvgN4dFf4nnzYMsWxyYJfMT55Ni/RnoA1o2rMsZhMoDQtAyC4A+0CLhKDZGIVfh1+1hdPW7csf1+wm/L2tmSJeQiaIx3WvARI8L0RUengcegVPJhhN8QHu2Xf/ppOO00x6b3uYj+fMSz2AbE/JJcucJAtfBnZzpzsaTUDDr0zcTbYkCswq/dPfkV/mgtfpdBIoAVNOV1BgfW2Wf8RoUJ5zQUecL4K7egRPpv6kc+jo/w56RlONYvzTk2sPz889F20pC0xCr8mpQopClc2u1offwek8RSyeX/UMVmLroI7r47mC382Wd9zmfP92+Ev4AoIYmVCgWf+rcAEiXm7kgcwBnq2aBBcHajxaG6ahZuTq7zhrBqm4qwWL1aTdA0FHESWfc4kqvHbfH//LOqvbt9e3B99eqeu6eJXOQ9I3nvPfVeF2/7z3/g8Zs3qlxQdozwFwJ//x3f440dq8JDDWHRwm/3ywewV17y+HwOZahB3exc9RXMJtVxHHsItqEIk1eLP5oaztG4evSNR0o1OrtnD8ycGWzn9dRw3XVqP9vT7rHHBqaaMOG5PWoWmB374K4R/gIi3qPo11+vJoSVdHTt2hiQqNA3fVMAmE0X/rWieMYwjMt5gwO5Vr4d6we+nar57q4hCdEuG/vkrHBo0Yw1nNONHtzNyAi+t2fgDHeMjAy1/lFVv5e+feHpp2nUCIYPh+U0V9/nWrZaUxs2BJdNOGcBEY0/0BDK2Wc7Zye++66KXQP145g3L+zuWtxf4AYutXyib3EZPXpAyivjAu26MpsO/MxxLOEmxvAWl7PlL2UhHc5J48Yb4TrxUhwvzJBUjB+vZtdGg062lpERvh2EL+iiLX6dyVXK4DiTfT8/4bczeXIgzFTP6TqLL50Cf+gQU+mNQLJxe/Jnjy0eilkE7rBJydSp8P77wfeXXqpmq0BooRVNWlrA0tHCn0U673Ipq2nEWhp47vYHx7OUYJjbfaiUtwdyMnn+efhUnhfY5g7JNhRxhgxRvpJo0DnwoxH+cOjBXS/ht1v8Xq6eMOe+7DJIIYfv6U6PXR9wDS8FjnMHKv9DnXuuiNy/XbtgSeFVo42L8AshXhNCbBVCLLGtqyyE+EYIsdJ6TdxQXTyEf8AAePvt/B+nuGBPpGYnIyOQrtbuzgFowmpSy8aWMnlvrtMF8MMPzpn7hhKGFueqUbj+wmWK1YO7dlePl/BHY/HbKFUKJjIQgBlZpzCOa9hDBbL/zeIPgjMOI1aXPOWUQK6pvn3hrrsitI8z8bL4JwBnutbdCcyQUh4DzLDeJ4Z4CP+kSep2bieW2qDFiT/+CBajcJOeHjZ5zuGs2L5S0vUVNHl5SjhPPqlCaKIpm+kl/AcOqApsbos/OxsmTlTL+RB+gAtwpmHuyg/c87kzt8jWrRH6rhNK5uQweXJwOKGgiFfN3VmAu4plX0An0HgDOI9EkShXT3F0IW3b5hyI8uL442HzZu9t6elhx1R+OtIuYhe+/14V4Hqx81sh2ypXjri7oThTqxY88EB0YaC9ezvfz5unHhdTUkItfvt3Ph+uHlCTvObRkYtSPwBgOc14fKYS/iGMB5TtFIkXuY5+ZxSOXzORPv4atgLrmwFPW04IMVQIsUAIsWBbXmtcJip8qjgKf/Xq3gUu3AnK/UhPD8x2tIdfNkdVOJpOz8C6OXTGjRCSbt2Ut6huxX0h2486KmSVweDN5ZcHl1etgo4d1XJKSujgrp1YB3c96MjPvJd6GR1KLSLLVhv6dp4AVG4fv0nsmht4kU+/rRB4H24+WrwpkMFdKaUEr2BvkFKOk1K2l1K2r1atWt5OkF+BDqm/ZlEE4nHjhisPjy/r1wdCG+aLYLjn71ePcTSryjaORs2K7E8w//7HHwcfz3s0/gs3iZzvYyjGVKkSXBYi6OrRIm5X1W3blC9myBCYPTv0WNEOLGdnUystaKy+xDU0JljI5bbbYNGi0H0YOJDxDAk5nFUpskBIpPBvEULUArBeI3m98k5+hd9v5m+yW/xTpqjH4ngQS0nFxo156/k9TJL9AahdG1LHjWXKa8GPeC0NqMNGNlCHMVWDRavPszn8MssWj6AyQxJgF2u7q0db/Pb0DbfcogaTXn0VXn7Z+1jRTDzLzaVsmpqx27n2Wq5hHClIZp9+X6BJ27bBQDnef18N6n7wAUMtl5CdnW5neQJJ5C9vMjDIWh4EfJawM+VXoEuryUUhRbzjYfGvWhXdLMS8cM45cP/90V//vlDXSoAYhH/9erh8WPARVVdj7HNJRaqjnhzKchAuv5w6bKTGpT28D5SRwVJUrdNz+Yyd9z0XdR8MBgd24bdb/Fr43cXYIx3rppugXLmIv91Ha47mXD7jzTPeCazrMuNBXno2mMJh7lzo0EFS++JuyDlzyMX7t2aVnS4Q4hXO+R7wE9BUCLFBCHEV8BjQUwixEuhhvU8M+RV+vX96emT/n5v9+2HwYO8cwjNnqiKfb76Zv/55Ye/n4sXR7RNuEo0rS6FnE+rzL6Uds9XHjrX95jIyWE89NmGl1bTSa4qaNXi86xSevf0f5wHT02nOclbTiI+4gEoHXdsNhmixBxx4De7GKvylSqnffwRtqV9uB59xHk3KOqtwnd48mKb5449hwQLBJmqzmNakunJbnYx6JBg3jgIjj4k0nEgp/YpTnh6P40fELdBHjighjjY2UH+4KSnOR8Jobigvvqiq/1SrpkLR7Oih/fnzYdCg0H3zg30wNtqw03A3oEsu8Vy9k0qkc4S5dKIn0ymfsh/79/baa53t08miJqHjBbfPOjv04NaPshGWr98+WGcw5BU9uJsfiz8tTd047BrgZf3r1BKukdkmvRrzZ8X2HLvnZ+bODa5vS9Dp35k5fMAAqrGNIV3/5KSToshyGyeKh5PVLdD/93/K2hw5UlWJ+vrr6PZPSXHOWI3F1ePlKonk4tm9O++ZRcOWA/KhSRPv9e5MgzaqsJPGrGYhJwCwL7dcYNvSpRHOp11ofnlX3INoeR3cNxjsaFfPunXB71gsiRy18OfkODUgJyf0N61vLB4hOcfsWRD2ND/Shbr8QwZHeKvpQwwdGrZ5XCkewu/+p0+yokgeeggefhjOPDO89W4XfvuxYnEhPflk7IndKlWC9u1j20djr1ISbT/tYxj2L/CwYUyjJ2O5NnQfYKtHJG5mpponE5YhQ9S0RJ+nCSP8hnxT38NKTklRv8WsrGDtz19/jf6Y6enBwV37k0JWVujTtTZq3MXeLSZMUK+lxaGQbQ5T0ZoNX1AUD+H3+ac7CJdwzC789hj3aCx++4iMO5VzNAOmEc1mGw8+GHQf1a4dXG/vZ26uf81Cv4pE+/bRi2lcz1hn+6ZNA4t7qeDYNG2aTx/1PgcOqP/lp586sxjacVtPJtmeIVYWL4Z/XGNDQgQDGfISHH/kSFD47Xn2vYQ/jMUPKv1V//7wpXQmNmjCymCS/0KgePzS7MI/fLhj0x4qsJFa4TVcC39qqvODjWRJv/cePPFEbH3NK/v2wX33qXAwcJansvdzxAg1/dUrKNg+Qc4e4eMXR2YrUvEIdweWS5WCk0/26ee8eeqxOpqEOz//HLmNwRCOihWdRhDk34A4ciRoybuF360JPj5+TVqackB053t68VWw2+zxflopIIqH8J90EnTooJZHjw6s3kMF6vAPddjIXS95zFbV2C1++x0iksX/7bfht+ubyJdfhm8XDbqPuk9DhoRuA/hATSMPEfO33nIOPh88GFy2RQVJ4GHuYjlNyc7wzqEe1oiqWDG0SIUf8a6jYDCAt/DHcjOoWzd2V0+kJ4vzz6ctQXfT61wR29yZOFM8hL9OHd5udC+TOSew6nPO5ij2cAA1GDn5hzBJYPLq4/fzG+7cqQp1anH9K3SGqoNo4vz1F05XELIPCls3g+zsYC1bpFTn18f+5BPn8Xy+qLuoxD08TE++4eoVt4ZsT0+PY7zxiBFw6qnQp08Y35HBECN2QdVPyHXrRr//Mcd4u3qOHPF39URyNzdqRCWUC/YmnqMlS5xl5sqUcZaETDDFQ/iByyaeTV8mB96/z0WO7S0ahQ6uBAhn8e/f738DWLjQe/0tt8Ajjzhz3YcjZF63B/Yv3Kmnqn7Z+wmcfjqUXrtcrdu1S1U90nnQ5893Hs8nvG03KlnOBuoxYb0zGvfle//h8OE4JlKrX189NU2ZAj17Rm5vMESD3bofMUK9Rhuht2ePeo3W4nf7+P/3P+/j5uZSCxXrXx8rwshelezgwcjJfeJIsRD+P/8MLi+wwg7f5dLAus7MYcsvYTJSamEXIjR8q3FjuPJK7/38YvP1l8Vrpuzy5fCSq9pUNEk63F84e7USy9qYNcu2Xfvzdbz/8cfjwMdCeZ5hvl3oObhO5H4aDIWN3eLX4hqN8KekQAUriMFP+MP5+IXwLziTlcVAJvIlZzIca4a6OzFVXusT54FiIfx2L0EHFrCRYBTJTirRkL+Ys791wOsR8h3QIpie7nSBZGWpZE5vvhn6gR8+rCZuhcPry9a2rSrm7Jcm1g/3+e3C7zWBy/00UrGi872Pq+cZ/ut4v2oV7N0L06dDw4aRu2kwFDp2i1+LqddTuztFi12I8+LjT031F+/sbNLJ4ky+Ds7cdfv4C3DMq1gIf58+8OE13wTe1yE4Xboie6hslQpYulTNzypVylVZUAu/nqat0Y99oD7Qt2z541980b9DvncYgj5De9hoNDNv3ceyu3pWrAhtP3Kk93k11j9AAm/gP2O2cWMoX165kQyGIoFdfLWYe/0W3TnA7UKcl3DO1FTvNNB6eyz9TjDFQvgbNoQLOv3DGpwm6Rw6k4LkUlQCpf/+Nxj0cvLJNm/H4cO8wPVspLbzC+IebHnvveCyW0i90Mfyi2PXRCP8Xha/thC0HzPcvvYoHoBly9hLeVKQDCb0yaUlv3HtSb9F7pfBkGzYLedwwl+unPO9l/C7LX53Ghj74G5qqn9K5+zs0G1ui98Ifx5IS6Mha2lk5cMezOt0RiXJOJF5ZKYdYdq0oPCD+hwaN4YbX2/LMF7ggrVPOe/M7qrf9sGYcInjtcWvc9y744zd5EX49+8PfVT148CB4KSuk05Sr506sZmans3Hci2/0ZqxV4Wfcm4wJCV2AU1LUwLr5erp1Uu96jBnLxeR3WCyhYoHcLt6/ITfqyiM8fHHAeufNp0ezOQUXh8cHOkUwPxzHgJCKwquWQPPz2gBwNz9LZ13eHfki31SUrgPye2zjxQWGk3KBbfFcuCAb2xySNrXAweU2+rii4O1dC+7LBj6aVGt4mG2Uo1rsXKUV3DO1jUYigRui98etKHFdvhw9VuYOjU4G9FL+AcPDq57913/c0US/uxsZ0qSKlWU1blwYTDk1Ah/HrD+aQ1ZyynMCpk5enz56JI05eyz3eHd7hz7HTuWUlGRIgryavGfeKJn0yO4LIvatdUgddmyji/XLioFljM5yNZ5a6mGzb1VvnzkfhkMyYbbx28Xfi3UOvVy797B37WXqycSbh9/OIvf/oS+fbt6364d1Knj7FsBUHyE3/1Pc6cMyMpizhx1o9dJ9qRU86zsvDjNlsHSbfHbxP7fm+/kZYb6FlVwEMmij1H4/6E2k7Z1V5NSunWD7t0dlRNDhB9UaE7ZsoH/03d0VzdIC4lwurLAWPyGoomXxa/Rxpzdpavb50f4tY9fZ6R18/HHylhzjyvYMRZ/HnD/09z+75wcOneGZ591PtHdak1OLYPy5980qasSVvqHWvw24b+XB7mWl7mC10P7EqurJ8aonu7MZMCul8nKrKCuOzvbUdLQ7cIBVRh96PeX8m9OOpfxJqfxnWP7XzQMnd1oLH5DUcTL4ndjT0Wuhd/L1ROJaFw9OrHi33+ryZruLL5aL4qT8Ash1gohfhdCLBJCJG600P1Pc1v8PuJ71FEgR94bSO0A0IZFDGAS+/a6BFwLv5RsQ/nr3mQQOe5/YwKE//ShjeluifVaGqjdypYPCP/GYASrQ/j/5mju4mEAxi/qQJl2zXibyxzH3kv5YPEUq5A6YCx+Q9HEz+K33wDs4dDRCr/X7yEa4bdPlmzcGDp3dm4vjsJvcaqUso2UMo/J56MgkqsnnJ/d+mA+PfFRALZbor5ic0VqsZERPKLaaeHfv59MgrlyxnN1+L6tXq0mbfnlC4liVuG3CyrwPd0d67LKVIS0NHKyclm3Lrhe++4/ph8N+JtHucvzmKU4wj7KUZ79wRSx3wTnQxiL31AksQtoqVJBwbcLu9040+6aSMK/d2/oumh8/NGOBxZD4U88kVw94cTV8uXXLu3MaNnh4xFsphaPMYLv6M7OI+X49FNg716H8F/HSwgk+/RTg+1LdZh0xnE1h196LTRveDR98yAN1X7q0gaQlsYrW85xbH+VqwC4gRfCHmfdqDcpZ7m4Ailiq1eH8ePVBDNj8RuKInYj0C78dgG2C388fPyHDvkLv3sOjRvdlwKsR1EQZ5LANCHEQiFESHExIcRQIcQCIcSCbfZ88bGSF+GvVQsefTQg/MeU3RjaxuIKXqfKi6Po109NenWnNgC4idHs2AHVp7yKQPIFZ1Gaw1zDOEpzGHdihkW0ZhZdQ/t24YWqapgHAskh1LVdNPF8clNLsfWIcwbic9zMt5zKZrwnjn3BWaykCTXvsaV2tv+/hgxR/shYIpcMhmTBLuB+wm9f1oKbHx+/PqaXeEdbE7sA0zQXxLPFyVLKf4QQ1YFvhBDLpZSBcBIp5ThgHED79u2jSFrjg/uDckeoeAn/5s1wV9ANclTaftJScsjOTeUCPuQj+ge2/W351QFOHuhMVtaYVaymCRO4gglVAVRenD584WiXguQ3WrKM5pzOjEDhZZn9qqPdrx+uIpN/+etL5Q50zyy3k/rJh57rTye0VkBmejbb1+yjTN2vQncYOND5vhBzhRsM+eIF25Oun6vHS+TtaVTyKvxeRBL+76xAi+KUlllK+Y/1uhX4BOiYkBO5ffzu99G4U6Qk6793IhF8yIXc1OAzbufxsLusojGTOTfqbrbidwbyAVUJJrUXQ67iyy9VxFfu7r2041eas5zevVXd+HjwAtez/eMfKFPRJ1bYlD00FBfsg6l65q5e1tgLGVWurPJwTZni3C8aopnbEylPz9at6jVcedg4k9BfuxCirBCivF4GzgCWJORkdqGXMtRidUfWeEXaSOn4kJ5rNJrHuTPsaRuzhtI4wz5vO3pioCjMFbxGNqkspF3Y4/TuDRdcAKmVnH71JTH+t27/r/MG9yl9+Y2WXM9YylTJDP1CL1um6uIaDMURP1ePPf4ZlIVV05bCxE/4K1eGFi2cx9d4Cf/o0dGP4UXrEooDiTbzagCzhRCLgfnAVCmlh58hDrgtfLsFm54e+s/3ugtLqdrpL4rl+/+GHp6nXIsaEC1DcPDmzTfhiYZjOYcpHCKD17iKVHIdZdfsjOZG+jDFcxsoV/vatd7bcn9ZRLfqywPvuzCbxx4DWacuEoH8aS59mayq/YCKdHL/n5o1g759fc9vMBRpUlKcwn/00So1eiT8hL9CBbj55uD7SBb/8OGRhV8/1vvV90gACRV+KeUaKWVr6+84KeXDCTtZOOHPyIhe+O1Tq63UxT2YoYT04UdYtQpeO/k1JIL6qBjKGmwhk4NcXHEql10GtGypTkvwkVMAz3GT1T6YMOhGnmc8V1O5skoZ8nSNUNeSXx58kVmaD7qOCbyfRTdEmu3L5/6flC1rBmwNxZ+hrhgSu6vn77/hl18iH8NP+FNTnb8hu/D7uUu11rzgE2X31ltKewqwCl3xcey6p0rnR/j9pl2npNC4MVyx1SnOAhU7/1bN29UKnwlb3awUCS9xrWN9LTazYwf88MYa/rPlTrZQnSe4LSQ5KEB1bLkZMjOpUXoPy2jGq1xJCjI0osGOe8DbYCiOuPOweLl6IuEn/NWrO4/jdjF7obVHJ4NLAoqP8Fet6nxvF/7SpaMTfr3eL92x/mB1xr6DB5VfLiuLjIH9SJXWOXyEvw2LySaV8/iMvnzKi1znbGAVUK/ONm7jKcrs3+pIDgiwMq0F0+jJF5ylrksImrGCK71SR0SazWwwFEfc6Y/jKfwffhhMcQ5O4feboa+1pgCTsEWi4KaKJRr3h50Ii1/XxtXJ2zIy1JcqLU19qfTgTJgUDbrs2qf0C93oroN77LE8smw3Eyaot+O4mgo5u+jJdLWidGn/bIAQeW6DwVAc8dOCWGbG2tuWLRuszVG7tvN3aj+X3+CszqBYgDNzI1F8LH43bovfLcbhhN9PTJ94Qr0eOaLu3u64YH2OV18N3VfTsWNorg7Nv/863+/ZEyj4U5p/GVL9c+fjZOnSTjHXGec07i9aElkcBkPCcH/Pd1oz8vNq8etwS419Jq5d+P0MvuHDQ49ZyBQv4Z84MVh5Pa8Wf3Z2ZIE8fDj05qAt/kiF07OynC6Xy616t+PGwb59Ic1TUuDJY8czjTMQW7c4N6anO59O7LHJkFRfNIOhwPCre5tXi9/tIrWXX4zG1ePVtpApXsowYEBw2S78ZcqElt664YbQ/bXFH+kDWrXKmd1Pny8nJ7RcoxudzEmjl6+5Bpo08dzl1hN/gD9nh24Qwvkl18v6C2j/8rpn5hoMxRW/3288fPzgNLa8b8t7swAAEkpJREFUhL9ePZX2uXZtNaCr670mkSFWvCx+O3bhL18+1I0yfbrzfefO0Qv/5Mmh61JT1b6REpvpgg32/TSrVnnvo79o55wTus0exaN9jPoGkJYGY8aop6C33w7fL4OhuOAXVpkXi98rlvqSS4LLdq3Qvz9tGFaq5HwKSCKLv2QIf0aGGon/9Vflylmxwtl29GgloJGE3x0f7D7fli1OV8+NN4bGDPtZ/OCfHycrCypWhI8+cj7VAHTpElxu1Ei9fv013HefqvE5bJiKD04ia8NgKBRiiWpLTYURI+C990K32d28Xm6l9HQ1ILxrF2zaFFyfRL/BkiH8sy03yXnnwciRaraqnczMUOG3+/E09qT3bvyma7tnCa5dq9q+9ZZ6BPRLFVuvnqrHCeopoVo11S+35X7WWcFlfeNo1gzuv98kWjMYAM4+W73GOo/lkUd861oH8BtPANi40VltK4ks/uS5BcUbu/DrrHfr1sGsWaFtdSIn++DuqFGhFv5XX3kXY3CfLxxSKrHX07R/+MG7Xdu2apYhKDeVdveUKqVuGu7Qz1h45ZXQeQ8GQ3FFC24iJjDaxTySoZVEFn/y9CTe+Amx13pdnk0Lf2qq/4ekB2/d22MZOPJz9bjbaP/gkSNOy8KdsvOzz5w1RCNx1VXRtzUYijr6t+quoR0L77zjnXMnFiveWPwFgJfAn3NOcBKWHbvFn5Oj3vt9SEKoAi59+oQ/32uv+fctkvB//DG8+25Q+COFmJ4bfVpog6HEoX87DRrk/Rj2AV074cbo+vSBqVP9txciJcvHX7Omt2vFbfGnpYV/LMvJCRVst/BfcYX//pGEv18/p8Wv+2QwGKLj8cdVMAQEhb9y5fgdX/v+w4l5Ete4KL5qYv9A2rRRZazGj/du6/bxRxL+3NzQDzUWV4+9b9G4eozwGwyxcfvtwWX9Ww03EBsrM2YEvQfnnAOffx56E0hi4U/enuUXewROONcNBMXXLvzhXD3RWPzhiCa2NzVVTTXPzoY//jDCbzDkFR0tF0/hL1sW6lglWEeN8m6TRK4dNyVDTVJTw3/oebH44yX84fJ+79oVvDHMmBH98Q0GQxD3xMZ442e8lWSLXwhxphBihRBilRAifB3DeNKhQ3A5nsKvLX73h7pnT/R9i0b4k/hLYzAUKRJh8XuRH2OwgEl0zd1U4AXgLKAFcLEQokX4veKEO772r7/823oN7oZzDXlZ/LH4+O3C77dfEj8mGgxFikQLv1duLHAKvz26JwlI9C2pI7DKKsF4BHgfKJgCr7F8yLG6erws/khZOd37a4zAGwyJJdGuHp2fq1Mn53r7b9srE0Ahkmgffx3APrNoAxBhDnSciGWyhN3ijxTHr9u4LXW/Igxe2CeCuG8gn30W/XEMBkNktFGWqAlU9evDggVw/PHO9fbfdpLVui50J5QQYqgQYoEQYsG2bdvid+BYM/FFa/FL6e3qiUX47bNs3Ra/Ts1sngQMhvigf5uJ9LmfcEJojY4SLPz/APVs7+ta6wJIKcdJKdtLKdtXq1YtfmeORjh1sra0NPUhxSL8+XH1LFkSXHYfJz/Tyg0GQyj6t1nQxpT9t51k4diJFv6fgWOEEA2FEOnARYBHMvtCQCdAA3U3TklRgq5z9fg9FmrrwX0Hj1R9xw/3l1H7C43FbzDEBy38BR1lE81EzUIiobchKWW2EGIY8DWQCrwmpfwjkeeMmqOPDn4htKtHC3+pUv53aC3w7i9RLK4er+OBysjpU4XLYDDkEV2EKVJ1vHiTxK6ehD9/SCm/AL5I9Hnyhbb4darjcMKvB2bdH2Qsrh47hw8Hl08/3b/d00/n7fgGQ0knM1O9emXXTCQl2NWT3Ojwrqws9SFpEc6L8Nst/tNOc25bulSVQPTCPiM33Jdj0CD/bQaDwR8dbVOzZsGe1+7qcQ/8FjIlW/hPOCG4LIRT+P2sg2hcPY884tzWvDkcd5z38V54IbgcTviTKJe3wVCkuPNOlepcV+IqKOzCX6VKwZ47AiVb+F98UaVubdMm1OKvU0fdpe03B4jO4tePlnbs7e3pYZs2DVrz4fyARvgNhryRnq5SnRd0wITd/Ztkv9/iLfzt2sGQIaHrV65Ur5mZcP75atkt/JmZKrSyXz/nvn4Wv32QtlWr0HPa2x9zjHObtvTtFr/7S5pkPkKDwRCBvI77FQDFW00WLvRe7xU54xZ+jdvl42fxRxo4+uWX4PKUKc5t+ljhxD3JogIMBkME8hrpVwAUb4s/FoRwRvVojjrK2U4LvNviz8pSrx9/7H18nbsbQguda8H3E3cdbmowGIoOWvifeqpw++GBEX5NSkrQXWMX/htucFbu0m38JnD5iXfr1v7n9hJ+u9AnmX/QYDBEgX2eUJJRcoT/gQfCb7db8HahTUtzjhP4uXp0uoly5byPrws933hj6DZ7BTBNNDn7DQZD8uI3yz8JKDmKcu+9cN99/tvtFnaklMwQ6up57jmVlvXUU733S0vzH+zR57OPExw8GFzet8+/PwaDITnRv3cj/IXMzJn+Obn9LH43fhZ/+fIwdGje+qWPZRd+Pc3cYDAUTYzFnySccor/tminV/tZ/PnBy+I3wm8wFG2Mj78IEEn433lHvb7yinqN513cK2KnoPOKGAyG+JLErh4j/JpIPn693S9cMz9of759xq9Oz2wwGIom2pg0wp/ERLL43Va5jvmPB716qVf7wPC4cfE7vsFgKDyScA5O8jmfCotIubPdH549nXJ+6dlT5QovUya4rkoVlcdnxYr4ncdgMBQckeb2FCLG4tdE6+rRxNPiB6foa5J4yrfBYIiAFn4zuJvExOrqcWftTARG+A2GoktJtPiFEPcLIf4RQiyy/non6lxxIVrhP/ZYqFULTjop8X0ywm8wFF2SWPgT/QzyjJQy+TIUeRGt8B8+XHCVfLTwL1tWMOczGAzxQ/9+C7rIexQkX48Ki2h9/IcP+8/+jTfaYvDy/xsMhuRG60gSJllMtPAPE0L8JoR4TQhRyauBEGKoEGKBEGLBtm3bEtydMNjvyl7hV4Uh/H37qtckK9tmMBiiYOxYGD4cTj+9sHsSQr6EXwgxXQixxOOvLzAWaAy0ATYB//M6hpRynJSyvZSyfTWd4bIwsAv/hg2h2wtD+J99FrZuhbJlC+Z8BoMhftSurX7DSRjVk68eSSl7RNNOCDEemBKxYWFit/LDRewcOVJwwp+WFkz3bDAYDHEikVE9tWxv+wFLEnWuuGC3+EuXDt2ubwzZ2QUn/AaDwZAAEvkM8oQQog0ggbXANQk8V/6x59WINHM33pO3DAaDoQBJmPBLKS9L1LETghZ+P2veLvxffpn4/hgMBkOCMOGcGm3l+4VOJmGiJYPBYMgLRvg12q/vJ/BG+A0GQzHBCL9GW/x+oVdG+A0GQzHBCL9GC79fQXQj/AaDoZhghF+jhX/LFu/tduH3Cvc0GAyGIoIRfk2kDHp24a9XL7F9MRgMhgRihF8Ti/Abt4/BYCjCGOHXRMqnYYTfYDAUE4zwa2Kx+Nu1S2xfDAaDIYEY4ddo4W/SxHu7XfhffTXx/TEYDIYEYYRfo4W/aVPv7Xbhz8xMfH8MBoMhQRjh12jhNzN3DQZDMccIvyYWH7/BYDAUYYzwa4zFbzAYSghG+DWRLP4kLJ9mMBgMecEIv0bn4/ez7EuVKri+GAwGQwLJb7H1C4UQfwghcoUQ7V3bRgghVgkhVggheuWvm0mAKbdoMBiKCfn1XywBzgdetq8UQrQALgKOA2oD04UQx0opc/J5vsShs3Iai99gMBRz8mXxSymXSSlXeGzqC7wvpTwspfwLWAV0zM+5Ch0j/AaDoZiQKB9/HWC97f0Ga10IQoihQogFQogF27ZtS1B3osBY/AaDoYQQ0dUjhJgO1PTYdLeU8rP8dkBKOQ4YB9C+fXufKihJgBF+g8FQTIgo/FLKHnk47j+APWl9XWtd8hLJ4jeDuwaDoZiQKFfPZOAiIUSGEKIhcAwwP0HnKhiMxW8wGIoJ+Q3n7CeE2AB0BqYKIb4GkFL+AXwALAW+Am5I6ogeMD5+g8FQYshXOKeU8hPgE59tDwMP5+f4hYKf8JuZuwaDoZhgZu5qZIRxZWPxGwyGYoIRfjd+Fn+kXD4Gg8FQRDDCrzn+ePV69tmF2w+DwWBIMMZxrWneHPbuhfLl/ds89xx061ZwfTIYDIYEYITfTjjRB7jppoLph8FgMCQQ4+oxGAyGEoYRfoPBYChhGOE3GAyGEoYRfoPBYChhGOE3GAyGEoYRfoPBYChhGOE3GAyGEoYRfoPBYChhCBkpOVkBIoTYBvydx92rAtvj2J3CwlxH8lGcrgWK1/WYa1HUl1JWi7ZxUgl/fhBCLJBSti/sfuQXcx3JR3G6Fihe12OuJW8YV4/BYDCUMIzwGwwGQwmjOAn/uMLuQJww15F8FKdrgeJ1PeZa8kCx8fEbDAaDITqKk8VvMBgMhigwwm8wGAwljEITfiFEPSHEd0KIpUKIP4QQw631lYUQ3wghVlqvlaz1zYQQPwkhDgshbnUda7gQYol1nJvDnPNMIcQKIcQqIcSdtvXDrHVSCFG1CF/Hq0KIxUKI34QQHwohyhXR65gghPhLCLHI+msT7XUk4bX8YLuOjUKIT2O5liS8ntOEEL9Yx3hDCBFTMadCupbXhBBbhRBLXOsvtPbNFULEHEaZh2u51Ppt/i6EmCOEaG07luf/2+Ocg6zjrhRCDLKtf1gIsV4IsT+qzkspC+UPqAW0s5bLA38CLYAngDut9XcCj1vL1YEOwMPArbbjHA8sAcqgKopNB5p4nC8VWA00AtKBxUALa1tboAGwFqhahK+jgq3d0/r8RfA6JgD9i8N3y9XuI+Dyono9KENxPXCs1e5B4KpkvharbTegHbDEtb450BSYCbQvgM/lJKCStXwWMC/G709lYI31Wsla1sfrZPVnfzR9LzSLX0q5SUr5i7W8D1gG1AH6Am9Yzd4AzrPabJVS/gxkuQ7VHPUPPCilzAa+B873OGVHYJWUco2U8gjwvnUupJS/SinXFoPr2AsghBBAJhD1yH0yXUd+ScZrEUJUAE4DYrb4k+h6qgBHpJR/Wu2+AS5I8mtBSjkL2OmxfpmUckUs/c/ntcyRUu6y1s8F6lrL0f4WegHfSCl3Wsf5BjjTOvZcKeWmaPueFD5+IUQDlNU9D6hhu4DNQI0Iuy8BugohqgghygC9gXoe7eqgrBXNBmtd3EiG6xBCvG6drxkwJvarSI7rAB62HoufEUJkxH4ViiS5FlA//hn65pxXCvl6tgNpNrdIf5/9o6KArqVAyMO1XAV8aS1Hq01x07BCL7YulB/6I+BmKeVeZawqpJRSCBHWapVSLhNCPA5MAw4Ai4CcBHbZk2S5DinlFUKIVJToDwRej2X/JLmOEagfTDoqtvkOlFshJpLkWjQXA6/kcV+g8K/HOsdFgL4ZT4tlfzuFfS3xJNZrEUKc+v/tnDFrFEEYhp8BxUZETxEPghiwC9gIEUQttJEUhvwErVL5B2xShiRFfkAsFIOdnYWFEhRJYxEiiNEELUxCBFHsAupn8X3ByRJj9jRx9/Z9YNm9b+Z25t2bnZ2Zdzm847+wpxXN+K8j/pTSfvyCTZvZgwivpZTakd4GPv7pPGZ228zOmtkl4DPwJoyXDVNtGFhm84igJ2Jdp8PMvuPTxVLT8KroiCm0mdk6/uDqL6OjSlqirGOh4WFZHVXTY2azZnbRzPqBp/i6dpW17CpltaSUzuADgEEz+xThLa93SulcpuXa7/J1VHHr0ED72w1IwF1gshAfZ7MxMlZIHyEzeSJ2PPYngdfA4S3K24ebIb38MlD6CnneU97crYSOqMfprE4TwETddERaO6vTJDBax98kSx8G7nTDvZJ9/wDwGLhcZS1Z3lMUzN0sbYbOzN1SWqKei8D5Mu0ny9cC3uHG7pE4bhXy7Mjc7agh/osNn+YYMI9P0+bwdbqj0aDe4k59K/KfwNe0vgJf4vhQpD0DXsUFu7JNmQP4CGUJuJXFb8b5vgErwFTddOCzt+fAS3z9c5rsLZ+66Ij4k0zHPeBgXdtWpM0AV7vkXhnHTcwFfGmjDlruA6u4QfyBeBMJGIrP68Aa8GiXtUzhM5ONvC920n4KZd7AHx6LwPUsPhZafsR+ZLu66y8bhBCiYVTirR4hhBB7hzp+IYRoGOr4hRCiYajjF0KIhqGOXwghGoY6fiGEaBjq+IUQomH8BLH84m5imtzVAAAAAElFTkSuQmCC\n", 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" ] }, "metadata": { "tags": [], "needs_background": "light" } } ] }, { "cell_type": "code", "metadata": { "id": "35jnNjmZtjg0", "colab_type": "code", "colab": {} }, "source": [ "# Your Turn - Fix the legend, and add a title and y label to the above plot. " ], "execution_count": 0, "outputs": [] }, { "cell_type": "markdown", "metadata": { "id": "oPS9KtgcUx-N", "colab_type": "text" }, "source": [ "### Customizing Time Axes Limits\n", "There are a few ways you can change the x-axis limits when you are working with timeplots. By default, plots will show the full range of data, with a little bit of padding on each side.\n", "\n", "To plot just the full **Full Time Range** of data, you can use\n", "`plt.xlim(df.index.min(),df.index.max())` \n", "\n", "To plot a **Specific Time Range**, you can use\n", "`plt.xlim(datetime.date(2017,4,1),datetime.date(2019,10,1))`\n", "Note you will need to run `import datetime` first for this command to run.\n", "\n", "When you customize date limits you may also need to rotate your tick labels to prevent them from overlapping. One solution that might work is \n", "`plt.xticks(rotation=45)`" ] }, { "cell_type": "code", "metadata": { "id": "Cc6m8a5VVpDX", "colab_type": "code", "colab": {} }, "source": [ "# Your Turn - Try changing the y and/or x limits for the above plot" ], "execution_count": 0, "outputs": [] }, { "cell_type": "markdown", "metadata": { "id": "PwV_p5YDq1e_", "colab_type": "text" }, "source": [ "### Adding Subplots and Saving\n", "We can create a figure with multiple plots using the subplots feature.\n", "\n", "And we can save a figure to a file using `fig.savefig()`" ] }, { "cell_type": "code", "metadata": { "id": "bNdpbTv3qzoM", "colab_type": "code", "outputId": "3a873880-2dd7-42d7-f975-19cf6e36e448", "colab": { "base_uri": "https://localhost:8080/", "height": 391 } }, "source": [ "# Subplot example\n", "fig, (ax1,ax2) = plt.subplots(2,1, sharex=True, figsize=(10,6))\n", "\n", "df.air_temperature.plot(ax=ax1)\n", "df.sea_surface_temperature.plot(ax=ax1)\n", "df.wind_spd.plot(ax=ax2, marker='.',linestyle='',markersize=1)\n", "\n", "ax1.legend()\n", "ax1.set_ylabel('Temperature (C)')\n", "ax2.set_ylabel('Wind Speed (m/s)')\n", "ax1.set_title('NDBC Station 44025');\n", "\n", "# Save the figure to a file\n", "fig.savefig('44025_example.png')" ], "execution_count": 0, "outputs": [ { "output_type": "display_data", "data": { "image/png": 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\n", 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" ] }, "metadata": { "tags": [], "needs_background": "light" } } ] }, { "cell_type": "code", "metadata": { "id": "eOY5YRUurG0A", "colab_type": "code", "colab": {} }, "source": [ "# Your Turn - Recreate the above plot with a 3rd or 4th subplot using other variables" ], "execution_count": 0, "outputs": [] }, { "cell_type": "markdown", "metadata": { "id": "hRcYklGsEULf", "colab_type": "text" }, "source": [ "## Scatterplot\n", "When two variables are plotted against each other, this is typically called a scatterplot. They are really no different than the plots we crated above. We just need to pick two variables, and use a marker instead of a line." ] }, { "cell_type": "code", "metadata": { "id": "sYwPGpPvyTwC", "colab_type": "code", "outputId": "69d5292f-8294-405d-e102-41b0e5c715a9", "colab": { "base_uri": "https://localhost:8080/", "height": 295 } }, "source": [ "# One way - Using a modified plot() call\n", "plt.plot(df.sea_surface_temperature,df.air_temperature, linestyle='', marker='.', markersize=3)\n", "\n", "# Another (better) way - Using scatter()\n", "# plt.scatter(df.sea_surface_temperature, df.air_temperature, s=3)\n", "\n", "plt.xlabel('Sea Surface Temperature (C)')\n", "plt.ylabel('Air Temperature (C)')\n", "plt.title('NDBC Station 44025 from 1/1/2019 to 1/1/2020');" ], "execution_count": 0, "outputs": [ { "output_type": "display_data", "data": { "image/png": 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\n", 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" ] }, "metadata": { "tags": [], "needs_background": "light" } } ] }, { "cell_type": "code", "metadata": { "id": "hfs4QRJay4DH", "colab_type": "code", "colab": {} }, "source": [ "# Your Turn - Create a scatterplot of winds vs. waves" ], "execution_count": 0, "outputs": [] }, { "cell_type": "markdown", "metadata": { "id": "I5gg-slUBkmN", "colab_type": "text" }, "source": [ "One of the big advantages of the `.scatter()` function, is that you can also color and size the dots based on a variable, rather than having them all be the same." ] }, { "cell_type": "code", "metadata": { "id": "V-r15Yh6fJTe", "colab_type": "code", "colab": {} }, "source": [ "# Your Turn - Now try coloring it using temperature or time" ], "execution_count": 0, "outputs": [] }, { "cell_type": "markdown", "metadata": { "id": "8YtkThM0Ezru", "colab_type": "text" }, "source": [ "## Histogram\n", "We can easily create [histograms](https://matplotlib.org/gallery/statistics/hist.html?highlight=histogram) of a single variable. Use the `bins` parameter to increase or decrease the number of data bins." ] }, { "cell_type": "code", "metadata": { "id": "iTvGj4n1Mfet", "colab_type": "code", "outputId": "1e2dd262-0709-401a-d4db-aa68ce3e439b", "colab": { "base_uri": "https://localhost:8080/", "height": 265 } }, "source": [ "# We can also easily create histograms\n", "df['sea_surface_temperature'].hist(bins=50);" ], "execution_count": 0, "outputs": [ { "output_type": "display_data", "data": { "image/png": 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\n", 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" ] }, "metadata": { "tags": [], "needs_background": "light" } } ] }, { "cell_type": "code", "metadata": { "id": "oSKL_VR1bp6b", "colab_type": "code", "colab": {} }, "source": [ "# Your Turn - Create a histogram of another variable" ], "execution_count": 0, "outputs": [] }, { "cell_type": "markdown", "metadata": { "id": "bXCWc8wJz-53", "colab_type": "text" }, "source": [ "## Box Plots\n", "You can also create box plots of your data rather easily. You could also create [violin plots](https://matplotlib.org/3.2.1/gallery/statistics/boxplot_vs_violin.html)." ] }, { "cell_type": "code", "metadata": { "id": "Q7nXcFTBMhhG", "colab_type": "code", "outputId": "df42f0f6-993e-430e-c0ef-47f369ed9a66", "colab": { "base_uri": "https://localhost:8080/", "height": 265 } }, "source": [ "# And boxplots\n", "df[['sea_surface_temperature','air_temperature','wind_spd']].plot.box(vert=False);" ], "execution_count": 0, "outputs": [ { "output_type": "display_data", "data": { "image/png": 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\n", 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" ] }, "metadata": { "tags": [], "needs_background": "light" } } ] }, { "cell_type": "markdown", "metadata": { "id": "D8JZdEqQcKCy", "colab_type": "text" }, "source": [ "## Bar Plots\n", "Bar plots are a very common data visualization, but not typically used with this kind of dataset. \n", "\n", "That said, a bar plot could be used to show monthly averages (more on how to calculate them tomorrow) or anomalies. \n", "\n", "Here's a quick (albeit crude) example that shows the monthly averages for the dataset we've been working with." ] }, { "cell_type": "code", "metadata": { "id": "04sllbWbb01Y", "colab_type": "code", "outputId": "31d56ea6-07e2-4db2-8c05-6eb9a3d6cc03", "colab": { "base_uri": "https://localhost:8080/", "height": 374 } }, "source": [ "df.sea_surface_temperature.resample('M').mean().plot.bar();" ], "execution_count": 0, "outputs": [ { "output_type": "display_data", "data": { "image/png": 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\n", 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" ] }, "metadata": { "tags": [], "needs_background": "light" } } ] }, { "cell_type": "markdown", "metadata": { "id": "ldwLFfh3A2gt", "colab_type": "text" }, "source": [ "Obviously, we'd need to work on the date labels, but hopefully this gives you a general idea." ] }, { "cell_type": "markdown", "metadata": { "id": "1mSGTYnert25", "colab_type": "text" }, "source": [ "## Two Axes on the same Plot\n", "In addition to using subplots, some scientists like to plot two variables on the same graph. For example, you can create two y-axes using the left and right sides. Using 2 x-axes is also common with CTD profile plots.\n", "\n", "Personally I'm not a huge fan of this, but it can be effective for some datasets and audiences, like your fellow scientists who are used to this typ of graph. Just don't try to plot more than 2 axes together, that's just heresy ;)\n", "\n", "The following example uses 2 y-axes to plot both Water Temperature and Dissolved Oxygen from an estuarine site near Atlantic City. This was adapted from this [example](https://matplotlib.org/gallery/api/two_scales.html). \n", "\n", "Also, noticed how we can load, subset and convert from xarray to pandas all in one line. This \"chaining\" of commands, is one of the great features of Python." ] }, { "cell_type": "code", "metadata": { "id": "HyFPg-zutYZW", "colab_type": "code", "colab": {} }, "source": [ "# Load a JCNERR Estuarine Station from NDBC\n", "nerr = xr.open_dataset('https://dods.ndbc.noaa.gov/thredds/dodsC/data/ocean/jctn4/jctn4o9999.nc')\n", "nerr = nerr.sel(time=slice('2019-06-01','2020-06-01')).to_dataframe().reset_index().set_index('time')" ], "execution_count": 0, "outputs": [] }, { "cell_type": "code", "metadata": { "id": "-Cx28p6ltd7N", "colab_type": "code", "outputId": "51f83935-dc78-4b8b-99fe-03094b22f47a", "colab": { "base_uri": "https://localhost:8080/", "height": 267 } }, "source": [ "# A graph with 2 Y-axes\n", "fig, ax1 = plt.subplots()\n", "ax2 = ax1.twinx() # Create a second axes that shares the same x-axis\n", "\n", "color = 'tab:red'\n", "ax1.plot(nerr.index, nerr.water_temperature, color=color)\n", "ax1.set_ylabel('Water Temperature (C)', color=color)\n", "ax1.tick_params(axis='y', labelcolor=color)\n", "\n", "color = 'tab:blue'\n", "ax2.plot(nerr.index, nerr.o2_saturation, color=color)\n", "ax2.set_ylabel('Oxygen Saturation (%)', color=color) \n", "ax2.tick_params(axis='y', labelcolor=color)" ], "execution_count": 0, "outputs": [ { "output_type": "display_data", "data": { "image/png": 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\n", 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" ] }, "metadata": { "tags": [], "needs_background": "light" } } ] }, { "cell_type": "markdown", "metadata": { "id": "_8WhJAQOteWq", "colab_type": "text" }, "source": [ "This graph would probably look a bit cleaner if we averaged the data a bit. But that's an exercise for another day." ] }, { "cell_type": "markdown", "metadata": { "id": "pXHDQ6fduNjf", "colab_type": "text" }, "source": [ "## Changing the default plot style\n", "Finally, while the plots we've created in this notebook work well, we can also jazz them up a bit. We can use the `set` feature in the [seaborne](https://seaborn.pydata.org) library to customize the style of our plots. Out of the box, seaborne provides a number of options, including: darkgrid, whitegrid, dark, white, and ticks. The default (darkgrid) is pretty nice.\n", "\n", "You can try this out by running the following cell to import the library and override the default plot settings. Then try rerunning the various plot commands above to see what it looks like." ] }, { "cell_type": "code", "metadata": { "id": "YtgEC4f8uVb0", "colab_type": "code", "outputId": "22477248-6473-4d74-9e2a-38c95b6c2532", "colab": { "base_uri": "https://localhost:8080/", "height": 71 } }, "source": [ "# Let's make our plots pretty\n", "import seaborn as sns\n", "sns.set()" ], "execution_count": 0, "outputs": [ { "output_type": "stream", "text": [ "/usr/local/lib/python3.6/dist-packages/statsmodels/tools/_testing.py:19: FutureWarning: pandas.util.testing is deprecated. Use the functions in the public API at pandas.testing instead.\n", " import pandas.util.testing as tm\n" ], "name": "stderr" } ] }, { "cell_type": "markdown", "metadata": { "id": "b5z6araEkYhC", "colab_type": "text" }, "source": [ "# Additional Resources\n", "If you are interested in seeing some additional examples of the plotting features available in python, I encourage you to visit the following pages.\n", "\n", "* [Matplotlib Examples](https://matplotlib.org/gallery/index.html) - See what else this library can do.\n", "* [Seaborn Gallery](https://seaborn.pydata.org/examples/index.html) - A great library for creating good-looking common statistical graphs.\n", "* [Altair Example Gallery](https://altair-viz.github.io/gallery/index.html) - A more advanced tool for creating interactive graphs.\n", "* [Python Graph Gallery](https://python-graph-gallery.com/) - A great resource for learning about common data visualization styles and how to create them in python." ] } ] }