{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"name":"2020-11-10 - lesson #11 notebook.ipynb","provenance":[],"collapsed_sections":[],"authorship_tag":"ABX9TyM82vE+7lJrmEpBUVVofpRR"},"kernelspec":{"name":"python3","display_name":"Python 3"}},"cells":[{"cell_type":"markdown","metadata":{"id":"e-mBYryrNVUs"},"source":["# Lesson #11\n","## Histograms/bar plots and more figure formatting"]},{"cell_type":"markdown","metadata":{"id":"6jDYsSFHOGky"},"source":["### About this notebook\n"]},{"cell_type":"markdown","metadata":{"id":"1AKWDky_b8iH"},"source":["Download the data and make a copy of this notebook to your own Drive. You can follow along with the lesson #11 tutorial video using this colab notebook.\n","The dataset we are using is available on the class Google drive:\n","> __Folder:__ `'Video lesson slides and notebooks/2020-11-10 - lesson #11 data/'`\n",">\n","> __File name:__ `'Dissolved Inorganic Nutrients.csv'`\n"]},{"cell_type":"markdown","metadata":{"id":"ZDQWZ-DcSqNv"},"source":["### About this data \n","\n"]},{"cell_type":"markdown","metadata":{"id":"oUEzzGaxS6Cx"},"source":["<center><img src=\"https://drive.google.com/uc?export=view&id=1weyLI5CS1xzpLX3jDQTNvL5MHqIWcgit\" width=\"200\" /> </center>\n","\n","##### This data is from the Palmer Station Antarctica Long Term Ecological Research (LTER) Network, [Dissolved Inorganic Nutrient station](https://oceaninformatics.ucsd.edu/datazoo/catalogs/pallter/datasets/211). \n","\n"," **Why nutrients?** In addition to sunlight, the inorganic macronutrients dissolved phosphate, silicate, nitrate, and nitrite allow phytoplankton grow in seawater. These phytoplankton are the primary producers that support a large food web, including krill and the whales that feed on them. Though phytoplankton growth in the Southern Ocean is most often limited by a lack of iron or sunlight, understanding the concentrations of other dissolved macronutrients can still be illuminating for oceanographers. Water samples are analyzed using nutrient autoanalyzers, also known as continuous flow analyzers, to quantify their nutrient concentration. \n","\n","\n"," "]},{"cell_type":"markdown","metadata":{"id":"-fYELJwZSy_o"},"source":["### Coding demonstration"]},{"cell_type":"code","metadata":{"id":"QnnxH-28NTXm","executionInfo":{"status":"ok","timestamp":1604888920696,"user_tz":480,"elapsed":742,"user":{"displayName":"Katy Christensen","photoUrl":"","userId":"13309436073132227481"}},"outputId":"cccc137d-4c2f-4e97-f28c-234c1f0c3a93","colab":{"base_uri":"https://localhost:8080/"}},"source":["# Import statements\n","import numpy as np\n","import pandas as pd\n","import matplotlib.pyplot as plt\n","from datetime import datetime\n","\n","# Mount the drive\n","from google.colab import drive\n","drive.mount('/content/drive')\n"],"execution_count":null,"outputs":[{"output_type":"stream","text":["Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"I2IWPG2yO7AJ","executionInfo":{"status":"ok","timestamp":1604889030535,"user_tz":480,"elapsed":778,"user":{"displayName":"Katy Christensen","photoUrl":"","userId":"13309436073132227481"}},"outputId":"fa2de955-5714-43f0-e855-0c596e79d38b","colab":{"base_uri":"https://localhost:8080/","height":886}},"source":["# Get our filepath\n","folderpath = '/content/drive/My Drive/Data_folder/'\n","filename = 'Dissolved Inorganic Nutrients.csv'\n","\n","# Load the data and display it\n","data = pd.read_csv(folderpath+filename,parse_dates=[1],na_values=-999)\n","\n","display(data)\n","data.describe()\n","\n"],"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>studyName</th>\n","      <th>Datetime GMT</th>\n","      <th>Latitude dec. deg. (º)</th>\n","      <th>Longitude dec. deg. (º)</th>\n","      <th>Depth (m)</th>\n","      <th>Phosphate (µmol/L)</th>\n","      <th>Silicate (µmol/L)</th>\n","      <th>Nitrite and Nitrate (µmol/L)</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>PAL0910</td>\n","      <td>2009-10-27 15:00:00</td>\n","      <td>-64.7795</td>\n","      <td>-64.0725</td>\n","      <td>0</td>\n","      <td>2.25</td>\n","      <td>85.20</td>\n","      <td>32.02</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>PAL0910</td>\n","      <td>2009-10-27 15:00:00</td>\n","      <td>-64.7795</td>\n","      <td>-64.0725</td>\n","      <td>10</td>\n","      <td>2.12</td>\n","      <td>85.20</td>\n","      <td>32.99</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>PAL0910</td>\n","      <td>2009-10-27 15:00:00</td>\n","      <td>-64.7795</td>\n","      <td>-64.0725</td>\n","      <td>25</td>\n","      <td>2.10</td>\n","      <td>84.60</td>\n","      <td>33.66</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>PAL0910</td>\n","      <td>2009-10-27 15:00:00</td>\n","      <td>-64.7795</td>\n","      <td>-64.0725</td>\n","      <td>50</td>\n","      <td>2.20</td>\n","      <td>79.50</td>\n","      <td>33.71</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>PAL0910</td>\n","      <td>2009-10-29 13:00:00</td>\n","      <td>-64.7795</td>\n","      <td>-64.0725</td>\n","      <td>0</td>\n","      <td>2.19</td>\n","      <td>82.20</td>\n","      <td>33.36</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>4133</th>\n","      <td>PAL1819</td>\n","      <td>2019-03-28 14:19:00</td>\n","      <td>-64.7795</td>\n","      <td>-64.0725</td>\n","      <td>30</td>\n","      <td>1.61</td>\n","      <td>77.47</td>\n","      <td>24.25</td>\n","    </tr>\n","    <tr>\n","      <th>4134</th>\n","      <td>PAL1819</td>\n","      <td>2019-03-28 14:19:00</td>\n","      <td>-64.7795</td>\n","      <td>-64.0725</td>\n","      <td>20</td>\n","      <td>1.63</td>\n","      <td>76.93</td>\n","      <td>24.37</td>\n","    </tr>\n","    <tr>\n","      <th>4135</th>\n","      <td>PAL1819</td>\n","      <td>2019-03-28 14:19:00</td>\n","      <td>-64.7795</td>\n","      <td>-64.0725</td>\n","      <td>10</td>\n","      <td>1.64</td>\n","      <td>74.30</td>\n","      <td>24.51</td>\n","    </tr>\n","    <tr>\n","      <th>4136</th>\n","      <td>PAL1819</td>\n","      <td>2019-03-28 14:19:00</td>\n","      <td>-64.7795</td>\n","      <td>-64.0725</td>\n","      <td>5</td>\n","      <td>1.63</td>\n","      <td>72.07</td>\n","      <td>24.31</td>\n","    </tr>\n","    <tr>\n","      <th>4137</th>\n","      <td>PAL1819</td>\n","      <td>2019-03-28 14:19:00</td>\n","      <td>-64.7795</td>\n","      <td>-64.0725</td>\n","      <td>0</td>\n","      <td>1.71</td>\n","      <td>71.90</td>\n","      <td>24.78</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>4138 rows × 8 columns</p>\n","</div>"],"text/plain":["     studyName  ... Nitrite and Nitrate (µmol/L)\n","0      PAL0910  ...                        32.02\n","1      PAL0910  ...                        32.99\n","2      PAL0910  ...                        33.66\n","3      PAL0910  ...                        33.71\n","4      PAL0910  ...                        33.36\n","...        ...  ...                          ...\n","4133   PAL1819  ...                        24.25\n","4134   PAL1819  ...                        24.37\n","4135   PAL1819  ...                        24.51\n","4136   PAL1819  ...                        24.31\n","4137   PAL1819  ...                        24.78\n","\n","[4138 rows x 8 columns]"]},"metadata":{"tags":[]}},{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Latitude dec. deg. (º)</th>\n","      <th>Longitude dec. deg. (º)</th>\n","      <th>Depth (m)</th>\n","      <th>Phosphate (µmol/L)</th>\n","      <th>Silicate (µmol/L)</th>\n","      <th>Nitrite and Nitrate (µmol/L)</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>count</th>\n","      <td>4057.000000</td>\n","      <td>4057.000000</td>\n","      <td>4138.000000</td>\n","      <td>4007.000000</td>\n","      <td>4001.000000</td>\n","      <td>4011.000000</td>\n","    </tr>\n","    <tr>\n","      <th>mean</th>\n","      <td>-64.796181</td>\n","      <td>-64.057373</td>\n","      <td>23.381585</td>\n","      <td>1.566012</td>\n","      <td>64.336046</td>\n","      <td>23.116553</td>\n","    </tr>\n","    <tr>\n","      <th>std</th>\n","      <td>0.017207</td>\n","      <td>0.015360</td>\n","      <td>19.984878</td>\n","      <td>0.446677</td>\n","      <td>11.872059</td>\n","      <td>6.723723</td>\n","    </tr>\n","    <tr>\n","      <th>min</th>\n","      <td>-64.813833</td>\n","      <td>-64.072500</td>\n","      <td>0.000000</td>\n","      <td>0.030000</td>\n","      <td>15.100000</td>\n","      <td>-0.145000</td>\n","    </tr>\n","    <tr>\n","      <th>25%</th>\n","      <td>-64.813833</td>\n","      <td>-64.072500</td>\n","      <td>5.000000</td>\n","      <td>1.304364</td>\n","      <td>57.686500</td>\n","      <td>20.362333</td>\n","    </tr>\n","    <tr>\n","      <th>50%</th>\n","      <td>-64.779500</td>\n","      <td>-64.072500</td>\n","      <td>20.000000</td>\n","      <td>1.600000</td>\n","      <td>65.100000</td>\n","      <td>24.114543</td>\n","    </tr>\n","    <tr>\n","      <th>75%</th>\n","      <td>-64.779500</td>\n","      <td>-64.041667</td>\n","      <td>40.000000</td>\n","      <td>1.900000</td>\n","      <td>72.900000</td>\n","      <td>28.010000</td>\n","    </tr>\n","    <tr>\n","      <th>max</th>\n","      <td>-64.773889</td>\n","      <td>-64.041667</td>\n","      <td>65.000000</td>\n","      <td>5.820000</td>\n","      <td>95.700000</td>\n","      <td>40.858000</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["       Latitude dec. deg. (º)  ...  Nitrite and Nitrate (µmol/L)\n","count             4057.000000  ...                   4011.000000\n","mean               -64.796181  ...                     23.116553\n","std                  0.017207  ...                      6.723723\n","min                -64.813833  ...                     -0.145000\n","25%                -64.813833  ...                     20.362333\n","50%                -64.779500  ...                     24.114543\n","75%                -64.779500  ...                     28.010000\n","max                -64.773889  ...                     40.858000\n","\n","[8 rows x 6 columns]"]},"metadata":{"tags":[]},"execution_count":203}]},{"cell_type":"code","metadata":{"id":"eISQJttiO_yK","executionInfo":{"status":"ok","timestamp":1604889169194,"user_tz":480,"elapsed":733,"user":{"displayName":"Katy Christensen","photoUrl":"","userId":"13309436073132227481"}},"outputId":"f170cc28-9fde-4540-8d76-74c36384ef93","colab":{"base_uri":"https://localhost:8080/","height":450}},"source":["# Clean the data\n","nitrate = data['Nitrite and Nitrate (µmol/L)']\n","data['Nitrite and Nitrate (µmol/L)'] = nitrate.where(nitrate>0)\n","\n","data.describe()\n","\n","# Group and average by date\n","cleandata = data.groupby('Datetime GMT').mean()\n","display(cleandata)"],"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Latitude dec. deg. (º)</th>\n","      <th>Longitude dec. deg. (º)</th>\n","      <th>Depth (m)</th>\n","      <th>Phosphate (µmol/L)</th>\n","      <th>Silicate (µmol/L)</th>\n","      <th>Nitrite and Nitrate (µmol/L)</th>\n","    </tr>\n","    <tr>\n","      <th>Datetime GMT</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>2009-10-27 15:00:00</th>\n","      <td>-64.779500</td>\n","      <td>-64.072500</td>\n","      <td>21.250000</td>\n","      <td>2.167500</td>\n","      <td>83.625000</td>\n","      <td>33.095000</td>\n","    </tr>\n","    <tr>\n","      <th>2009-10-29 13:00:00</th>\n","      <td>-64.796650</td>\n","      <td>-64.057100</td>\n","      <td>21.250000</td>\n","      <td>2.133750</td>\n","      <td>82.400000</td>\n","      <td>33.957500</td>\n","    </tr>\n","    <tr>\n","      <th>2009-11-02 13:00:00</th>\n","      <td>-64.813800</td>\n","      <td>-64.041700</td>\n","      <td>11.666667</td>\n","      <td>2.050000</td>\n","      <td>80.633333</td>\n","      <td>32.563333</td>\n","    </tr>\n","    <tr>\n","      <th>2009-11-03 14:00:00</th>\n","      <td>-64.779500</td>\n","      <td>-64.072500</td>\n","      <td>21.250000</td>\n","      <td>2.085000</td>\n","      <td>80.500000</td>\n","      <td>33.180000</td>\n","    </tr>\n","    <tr>\n","      <th>2009-11-05 13:00:00</th>\n","      <td>-64.813800</td>\n","      <td>-64.041700</td>\n","      <td>21.250000</td>\n","      <td>2.062500</td>\n","      <td>77.475000</td>\n","      <td>33.270000</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>2019-03-21 13:32:00</th>\n","      <td>-64.779500</td>\n","      <td>-64.072500</td>\n","      <td>22.142857</td>\n","      <td>1.811429</td>\n","      <td>80.680000</td>\n","      <td>25.097143</td>\n","    </tr>\n","    <tr>\n","      <th>2019-03-25 12:44:00</th>\n","      <td>-64.813833</td>\n","      <td>-64.041667</td>\n","      <td>26.428571</td>\n","      <td>1.807143</td>\n","      <td>77.238571</td>\n","      <td>25.091429</td>\n","    </tr>\n","    <tr>\n","      <th>2019-03-25 13:37:00</th>\n","      <td>-64.779500</td>\n","      <td>-64.072500</td>\n","      <td>22.142857</td>\n","      <td>1.773333</td>\n","      <td>73.993333</td>\n","      <td>24.681667</td>\n","    </tr>\n","    <tr>\n","      <th>2019-03-28 13:21:00</th>\n","      <td>-64.813833</td>\n","      <td>-64.041667</td>\n","      <td>26.428571</td>\n","      <td>1.451429</td>\n","      <td>76.420000</td>\n","      <td>23.907143</td>\n","    </tr>\n","    <tr>\n","      <th>2019-03-28 14:19:00</th>\n","      <td>-64.779500</td>\n","      <td>-64.072500</td>\n","      <td>22.142857</td>\n","      <td>1.691429</td>\n","      <td>75.480000</td>\n","      <td>24.818571</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>622 rows × 6 columns</p>\n","</div>"],"text/plain":["                     Latitude dec. deg. (º)  ...  Nitrite and Nitrate (µmol/L)\n","Datetime GMT                                 ...                              \n","2009-10-27 15:00:00              -64.779500  ...                     33.095000\n","2009-10-29 13:00:00              -64.796650  ...                     33.957500\n","2009-11-02 13:00:00              -64.813800  ...                     32.563333\n","2009-11-03 14:00:00              -64.779500  ...                     33.180000\n","2009-11-05 13:00:00              -64.813800  ...                     33.270000\n","...                                     ...  ...                           ...\n","2019-03-21 13:32:00              -64.779500  ...                     25.097143\n","2019-03-25 12:44:00              -64.813833  ...                     25.091429\n","2019-03-25 13:37:00              -64.779500  ...                     24.681667\n","2019-03-28 13:21:00              -64.813833  ...                     23.907143\n","2019-03-28 14:19:00              -64.779500  ...                     24.818571\n","\n","[622 rows x 6 columns]"]},"metadata":{"tags":[]}}]},{"cell_type":"code","metadata":{"id":"Caq-P0sIPJz9"},"source":["# Create variables for each of the nutrients we are plotting\n","P = cleandata['Phosphate (µmol/L)'].values\n","S = cleandata['Silicate (µmol/L)'].values\n","N = cleandata['Nitrite and Nitrate (µmol/L)'].values\n","\n","dates = cleandata.index.values"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"-SrC04J_PtTi","executionInfo":{"status":"ok","timestamp":1604889564404,"user_tz":480,"elapsed":1987,"user":{"displayName":"Katy Christensen","photoUrl":"","userId":"13309436073132227481"}},"outputId":"e337120c-8408-4b3c-8eac-da24fb1151eb","colab":{"base_uri":"https://localhost:8080/","height":621}},"source":["# One figure, one axes (multiline plot)\n","fig = plt.figure(figsize=(10,10))\n","\n","# Plotting the lines\n","\n","plt.plot(dates,S,'s-',c='mediumblue',label='S')\n","plt.plot(dates,N,'*-',c='darkgreen',label='N')\n","plt.plot(dates,P,'o-',c='firebrick',label='P')\n","\n","\n","# Formatting the figure\n","plt.xlabel('Dates')\n","plt.ylabel('Concentration (µmol/L)')\n","plt.title('Inorganic nutrients')\n","plt.grid()\n","plt.yscale('log')\n","\n","# Creating a legend\n","# plt.legend(['S','P','N'])\n","plt.gca().legend()\n","\n","# Saving our figure #jpg, pdf\n","plt.savefig(folderpath+'lineplots.png',dpi=200)"],"execution_count":null,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 720x720 with 1 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"code","metadata":{"id":"CkU4oVAfi6Ly"},"source":["# Do some statistics on our nutrient concentrations (mean, std)\n","P_av = np.nanmean(P)\n","S_av = np.nanmean(S)\n","N_av = np.nanmean(N)\n","\n","P_std = np.nanstd(P)\n","S_std = np.nanstd(S)\n","N_std = np.nanstd(N)"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"bEPfqoPHP-2h","executionInfo":{"status":"ok","timestamp":1604890044413,"user_tz":480,"elapsed":1081,"user":{"displayName":"Katy Christensen","photoUrl":"","userId":"13309436073132227481"}},"outputId":"474518d6-9742-4cd9-c988-b7e476a325fa","colab":{"base_uri":"https://localhost:8080/","height":706}},"source":["# One figure, three axes (subplots) - histograms\n","fig,ax = plt.subplots(ncols=3,nrows=1,figsize=(14,10))\n","\n","# Axis 0 - Phosphate\n","ax[0].hist(x=P,bins=20,color='firebrick',rwidth=0.8)\n","ax[0].plot([P_av,P_av],[0,110],'k',lw=2)\n","ax[0].set_ylim((0,110))\n","ax[0].set_xlabel('Concentration (µmol/L)')\n","ax[0].set_ylabel('Count')\n","ax[0].set_title('Phosphate')\n","\n","\n","# Axis 1 - Silicate\n","ax[1].hist(x=S,bins=20,color='mediumblue',rwidth=0.8)\n","ax[1].plot([S_av,S_av],[0,80],'k',lw=2)\n","ax[1].set_ylim((0,80))\n","ax[1].set_xlabel('Concentration (µmol/L)')\n","ax[1].set_ylabel('Count')\n","ax[1].set_title('Silicate')\n","\n","# Axis 2 - Nitrite/Nitrate\n","ax[2].hist(x=N,bins=20,color='darkgreen',rwidth=0.8)\n","ax[2].plot([N_av,N_av],[0,110],'k',lw=2)\n","ax[2].set_ylim((0,110))\n","ax[2].set_xlabel('Concentration (µmol/L)')\n","ax[2].set_ylabel('Count')\n","ax[2].set_title('Nitrite/Nitrate')\n","\n","\n","# Saving our figure\n"],"execution_count":null,"outputs":[{"output_type":"stream","text":["/usr/local/lib/python3.6/dist-packages/numpy/lib/histograms.py:839: RuntimeWarning: invalid value encountered in greater_equal\n","  keep = (tmp_a >= first_edge)\n","/usr/local/lib/python3.6/dist-packages/numpy/lib/histograms.py:840: RuntimeWarning: invalid value encountered in less_equal\n","  keep &= (tmp_a <= last_edge)\n"],"name":"stderr"},{"output_type":"execute_result","data":{"text/plain":["Text(0.5, 1.0, 'Nitrite/Nitrate')"]},"metadata":{"tags":[]},"execution_count":227},{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 1008x720 with 3 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"code","metadata":{"id":"0qxCb0xKQUs1","executionInfo":{"status":"ok","timestamp":1604890472869,"user_tz":480,"elapsed":998,"user":{"displayName":"Katy Christensen","photoUrl":"","userId":"13309436073132227481"}},"outputId":"cc53b98f-5508-4597-9938-73ec1157d530","colab":{"base_uri":"https://localhost:8080/","height":662}},"source":["# One figure - bar plot\n","fig = plt.figure(figsize=(14,10))\n","\n","# Creating the bars\n","plt.bar([0,1,2],[P_av,S_av,N_av],color=['firebrick','mediumblue','darkgreen'],yerr=[P_std,S_std,N_std])\n","\n","\n","# Formatting the ticks\n","plt.xticks([0,1,2])\n","xtickNames = plt.gca().set_xticklabels(['Phosphate','Silicate','Nitrite and Nitrate'])\n","plt.setp(xtickNames, rotation=30, fontsize=12)\n","\n","plt.xlabel('Nutrient')\n","plt.ylabel('Average concentration (µmol/L)')\n","\n","plt.grid(axis='y')\n","\n","# Putting text on the plot\n","plt.text(0,3,'Average='+str(round(P_av,2))+'µmol/L',horizontalalignment='center',fontsize=16)\n","plt.text(1,40,'Average='+str(round(S_av,2))+'µmol/L',horizontalalignment='center',fontsize=16,color='white')\n","plt.text(2,10,'Average='+str(round(N_av,2))+'µmol/L',horizontalalignment='center',fontsize=16,color='white')\n","\n","# Saving our figure\n","plt.savefig(folderpath+'barplot.pdf')"],"execution_count":null,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 1008x720 with 1 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"code","metadata":{"id":"4BIIXcFfevjj"},"source":[""],"execution_count":null,"outputs":[]}]}