{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"name":"2020-11-19 - class #14 - activities.ipynb","provenance":[],"collapsed_sections":["8d6J9xZiFtU2","54uYvvLhQvrE","LFTevNkDXn2W","eB0a9B4uacC8","w0-gURapd_-G"]},"kernelspec":{"name":"python3","display_name":"Python 3"}},"cells":[{"cell_type":"markdown","metadata":{"id":"BRAp37uklN9X"},"source":["# Class \\#14 activities"]},{"cell_type":"markdown","metadata":{"id":"8d6J9xZiFtU2"},"source":["# **Global temperature trends**\n","### Practice with SciPy linear regression and 1-D interpolation"]},{"cell_type":"markdown","metadata":{"id":"0xyc3kUDwnm0"},"source":["\n","\n","*Image: Atmospheric CO2 from 1700 to yesterday. Source: [Scripps/UCSD](https://sioweb.ucsd.edu/programs/keelingcurve/).*\n"]},{"cell_type":"markdown","metadata":{"id":"2d8TX_spON9b"},"source":["1. Run this cell to import libraries (note the new `SciPy` and `Matplotlib.dates` import statements!) and give Colab access to Google Drive.\n","\n","2. When prompted, click the link to give Colab access to Google Drive, copy the code, and paste back into here."]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"cTEogBL7Nqia","executionInfo":{"status":"ok","timestamp":1605851323779,"user_tz":480,"elapsed":21635,"user":{"displayName":"Ethan C Campbell","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjCBYTiuomqOsCakND1k_5wj0kYvFY53Jt7kunt=s64","userId":"11255944928409084259"}},"outputId":"1cbd7c24-499d-4cb5-b8bf-56868ad86c5a"},"source":["# Import NumPy, Pandas, SciPy, Matplotlib, Datetime\n","import numpy as np\n","import pandas as pd\n","from scipy import stats, interpolate\n","import matplotlib.pyplot as plt\n","import matplotlib.dates as mdates\n","from datetime import datetime, timedelta\n","\n","# Give Colab access to Google Drive\n","from google.colab import drive\n","drive.mount('/content/drive')"],"execution_count":1,"outputs":[{"output_type":"stream","text":["Mounted at /content/drive\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"GdSewIIHNqia"},"source":["3. Next, update the filepath below. To find the correct filepath, you can click on the left sidebar (folder icon), navigate to the CSV file in the Class #14 data folder, click the \"...\" on the file, and select \"Copy path.\"\n","\n","4. Add back slashes (`\\`) in front of quotation marks in the filepath, as necessary."]},{"cell_type":"code","metadata":{"id":"J0NhDnI8Nqia","executionInfo":{"status":"ok","timestamp":1605851325440,"user_tz":480,"elapsed":826,"user":{"displayName":"Ethan C Campbell","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjCBYTiuomqOsCakND1k_5wj0kYvFY53Jt7kunt=s64","userId":"11255944928409084259"}}},"source":["# Filepath for Arctic sea ice concentration netCDF file\n","filepath = '/content/drive/MyDrive/OCEAN 215 - Autumn \\'20/OCEAN 215 - Autumn \\'20 - Course documents/Zoom class slides and notebooks/2020-11-19 - class #14 - data/NASA_GISS_global_temp.csv'"],"execution_count":2,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"yEnKAIINNqia"},"source":["5. Run the code cells to load and display the CSV file using `Pandas`. First, we'll parse the years as integer numbers. Then, we'll create a second version with the years parsed as `datetime` objects.\n","\n","6. Notice that there are three columns: **Year** (which is the `index`), **Temp_anomaly** (which has units of °C), and **Temp_anomaly_smooth** (which is a smoothed, or filtered, version of Temp_anomaly)."]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":883},"id":"ppZ9-lz0Nqia","executionInfo":{"status":"ok","timestamp":1605851328011,"user_tz":480,"elapsed":3381,"user":{"displayName":"Ethan C Campbell","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjCBYTiuomqOsCakND1k_5wj0kYvFY53Jt7kunt=s64","userId":"11255944928409084259"}},"outputId":"eaa028aa-3052-4cfe-974e-bd6203fb5b6e"},"source":["# Load CSV file using Pandas with 2 different settings\n","global_temp = pd.read_csv(filepath,index_col='Year') # loaded years as integer numbers\n","global_temp_dt = pd.read_csv(filepath,index_col='Year',parse_dates=['Year']) # loaded years as Datetime objects\n","\n","# Display CSV file\n","display(global_temp)\n","display(global_temp_dt)"],"execution_count":3,"outputs":[{"output_type":"display_data","data":{"text/html":["
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Temp_anomalyTemp_anomaly_smooth
Year
1880-0.16-0.08
1881-0.07-0.12
1882-0.10-0.16
1883-0.16-0.19
1884-0.27-0.23
.........
20150.900.83
20161.010.87
20170.920.91
20180.850.95
20190.980.98
\n","

140 rows × 2 columns

\n","
"],"text/plain":[" Temp_anomaly Temp_anomaly_smooth\n","Year \n","1880 -0.16 -0.08\n","1881 -0.07 -0.12\n","1882 -0.10 -0.16\n","1883 -0.16 -0.19\n","1884 -0.27 -0.23\n","... ... ...\n","2015 0.90 0.83\n","2016 1.01 0.87\n","2017 0.92 0.91\n","2018 0.85 0.95\n","2019 0.98 0.98\n","\n","[140 rows x 2 columns]"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["
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Temp_anomalyTemp_anomaly_smooth
Year
1880-01-01-0.16-0.08
1881-01-01-0.07-0.12
1882-01-01-0.10-0.16
1883-01-01-0.16-0.19
1884-01-01-0.27-0.23
.........
2015-01-010.900.83
2016-01-011.010.87
2017-01-010.920.91
2018-01-010.850.95
2019-01-010.980.98
\n","

140 rows × 2 columns

\n","
"],"text/plain":[" Temp_anomaly Temp_anomaly_smooth\n","Year \n","1880-01-01 -0.16 -0.08\n","1881-01-01 -0.07 -0.12\n","1882-01-01 -0.10 -0.16\n","1883-01-01 -0.16 -0.19\n","1884-01-01 -0.27 -0.23\n","... ... ...\n","2015-01-01 0.90 0.83\n","2016-01-01 1.01 0.87\n","2017-01-01 0.92 0.91\n","2018-01-01 0.85 0.95\n","2019-01-01 0.98 0.98\n","\n","[140 rows x 2 columns]"]},"metadata":{"tags":[]}}]},{"cell_type":"markdown","metadata":{"id":"54uYvvLhQvrE"},"source":["# **Breakout rooms: group 1 — linear regression (entire time series)**"]},{"cell_type":"markdown","metadata":{"id":"QQsEWCEqXksL"},"source":["First, assign roles:\n","> * **Timekeeper:** keep things moving\n",">\n","> * **Coder:** share your screen and write the code based on input from everyone else\n",">\n","> * **Reporter:** before the end of the session, remind the Coder to paste their code into this [Google Document](https://docs.google.com/document/d/1UKJF4KzYkNGyVrQoyRU3FSopmGlBJD4zBNdAI3En8fU/edit?usp=sharing)\n","\n","If you need help, check out the Video Lesson #14 slides, [available here](https://drive.google.com/file/d/19x5N4Xl4_cJfdoU7ilA55eXKP7olZrDl/view?usp=sharing)."]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":473},"id":"tSAL5V98Qu4N","executionInfo":{"status":"ok","timestamp":1605851383541,"user_tz":480,"elapsed":1170,"user":{"displayName":"Ethan C Campbell","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjCBYTiuomqOsCakND1k_5wj0kYvFY53Jt7kunt=s64","userId":"11255944928409084259"}},"outputId":"6014f23e-dad1-4530-f732-b2ff319695c2"},"source":["# 1. Make a black line plot of the 1980-2019 time series.\n","# Add scatter points for each year.\n","# Add a grid and axis labels.\n","plt.figure(figsize=(13,6))\n","plt.plot(global_temp.index,global_temp['Temp_anomaly'],c='k',label='Original data')\n","plt.scatter(global_temp.index,global_temp['Temp_anomaly'],c='k')\n","plt.grid()\n","plt.xlabel('Years')\n","plt.ylabel('Temperature anomaly (°C)')\n","\n","# 2. Use SciPy's linregress() to calculate a linear regression on the entire 1880-2019 time series.\n","# For this, use the variable \"global_temp\" (where the years are integer numbers).\n","# This should be just one line of code.\n","slope, intercept, rvalue, pvalue, stderr = stats.linregress(global_temp.index,global_temp['Temp_anomaly'])\n","# or you can send some outputs to a \"throwaway\" underscore:\n","slope, _, rvalue, pvalue, _ = stats.linregress(global_temp.index,global_temp['Temp_anomaly'])\n","\n","# 3. Print the slope (including units), r-squared value, and p-value.\n","# Round each to 3 decimal places.\n","print('The slope from 1880-2019 is:',round(slope,3),'°C/year (using the integer year version)')\n","print('The r^2 value is:',round(rvalue**2,3))\n","print('The p-value is:',round(pvalue,3))\n","\n","# 4. Repeat Part #1, but use the variable \"global_temp_dt\" (where the years are Datetime objects).\n","# Remember you have to convert the Datetime array of years to numbers.\n","slope_days, _, _, _, _ = stats.linregress(mdates.date2num(global_temp_dt.index),global_temp_dt['Temp_anomaly'])\n","\n","# 5. Print the slope from the regression in Part #3, using units of °C/year.\n","print('The slope from 1880-2019 is:',round(365.25*slope_days,3),'°C/year (using the Datetime version)')\n","\n","# 6. In these Python comment lines, answer the following questions:\n","# a. How much variance in the data is explained by the regression?\n","# A: ~75%\n","# b. Is the 1880-2019 trend significant at the 95% confidence level?\n","# A: Yes, because it's basically zero, which is less than 0.05\n","# c. Is a linear regression appropriate for this data?\n","# A: Probably not - data looks more like a quadratic curve\n","\n","# 7. If you have time, on your plot from earlier, draw the regression line that you just calculated.\n","# Make it a red dashed line.\n","# Label it and add a legend.\n","x_values = global_temp.index\n","y_values = slope * x_values + intercept\n","plt.plot(x_values,y_values,'r--',lw=3,label='1880-2019 linear regression')\n","plt.legend()"],"execution_count":5,"outputs":[{"output_type":"stream","text":["The slope from 1880-2019 is: 0.007 °C/year (using the integer year version)\n","The r^2 value is: 0.75\n","The p-value is: 0.0\n","The slope from 1880-2019 is: 0.007 °C/year (using the Datetime version)\n"],"name":"stdout"},{"output_type":"execute_result","data":{"text/plain":[""]},"metadata":{"tags":[]},"execution_count":5},{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["
"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"markdown","metadata":{"id":"LFTevNkDXn2W"},"source":["# **Breakout rooms: group 2 — linear regression (1880-1969, 1970-2019)**"]},{"cell_type":"markdown","metadata":{"id":"yiBvGPh_Xn2W"},"source":["First, assign roles:\n","> * **Timekeeper:** keep things moving\n",">\n","> * **Coder:** share your screen and write the code based on input from everyone else\n",">\n","> * **Reporter:** before the end of the session, remind the Coder to paste their code into this [Google Document](https://docs.google.com/document/d/1UKJF4KzYkNGyVrQoyRU3FSopmGlBJD4zBNdAI3En8fU/edit?usp=sharing)\n","\n","If you need help, check out the Video Lesson #14 slides, [available here](https://drive.google.com/file/d/19x5N4Xl4_cJfdoU7ilA55eXKP7olZrDl/view?usp=sharing)."]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":473},"id":"YHvhIffOXt7L","executionInfo":{"status":"ok","timestamp":1605851406567,"user_tz":480,"elapsed":1133,"user":{"displayName":"Ethan C Campbell","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjCBYTiuomqOsCakND1k_5wj0kYvFY53Jt7kunt=s64","userId":"11255944928409084259"}},"outputId":"d118eb14-3c10-4304-a465-0503763cf42d"},"source":["# 1. Make a black line plot of the 1980-2019 time series.\n","# Add scatter points for each year.\n","# Add a grid and axis labels.\n","plt.figure(figsize=(13,6))\n","plt.plot(global_temp.index,global_temp['Temp_anomaly'],c='k',label='Original data')\n","plt.scatter(global_temp.index,global_temp['Temp_anomaly'],c='k')\n","plt.grid()\n","plt.xlabel('Years')\n","plt.ylabel('Temperature anomaly (°C)')\n","\n","# 2. Create two new variables:\n","# - Select years 1880-1969 of the \"global_temp\" data set and save the data as \"gt_old\".\n","# - Select years 1970-2019 of the \"global_temp\" data set and save the data as \"gt_new\".\n","gt_old = global_temp.loc[1880:1969]\n","gt_new = global_temp.loc[1970:2019]\n","\n","# 3. Use SciPy's linregress() to calculate two separate linear regressions on the two time series \"gt_old\" and \"gt_new\".\n","# Give the output variables slightly different names (e.g. \"slope_old\" and \"slope_new\").\n","slope_old, intercept_old, rvalue_old, _, _ = stats.linregress(gt_old.index,gt_old['Temp_anomaly'])\n","slope_new, intercept_new, rvalue_new, _, _ = stats.linregress(gt_new.index,gt_new['Temp_anomaly'])\n","\n","# 4. Print the slope (including units) and r-squared values for each time segment (1880-1969, 1970-2019).\n","# Round each to 3 decimal places.\n","print('The slope from 1880-1969 is:',round(slope_old,3),'°C/year')\n","print('The r^2 value for 1980-1969 is:',round(rvalue_old**2,3))\n","print('The slope from 1970-2019 is:',round(slope_new,3),'°C/year')\n","print('The r^2 value for 1970-2019 is:',round(rvalue_new**2,3))\n","\n","# 5. In these Python comment lines, answer the following questions:\n","# a. What conclusion would you draw by comparing the slopes from 1880-1969 and 1970-2019?\n","# A: Warming has accelerated\n","# b. What conclusion would you draw by comparing the r^2 values from 1880-1969 and 1970-2019?\n","# A: Temperature variability is more fully explained by the second regression\n","# c. Would a linear regression on the full data (from 1880-2019) be appropriate?\n","# A: No, the data might be approximately piecewise linear, but not fully linear\n","\n","# 6. If you have time, on your plot from earlier, draw the two regression lines that you just calculated.\n","# Make one a blue dotted line and the other a blue dashed line.\n","# Label them and add a legend.\n","x_values_old = gt_old.index\n","y_values_old = slope_old * x_values_old + intercept_old\n","plt.plot(x_values_old,y_values_old,'b:',lw=3,label='1880-1969 linear regression')\n","x_values_new = gt_new.index\n","y_values_new = slope_new * x_values_new + intercept_new\n","plt.plot(x_values_new,y_values_new,'b--',lw=3,label='1970-2019 linear regression')\n","plt.plot(x_values,y_values,'r--',lw=3,label='1880-2019 linear regression')\n","plt.legend()"],"execution_count":6,"outputs":[{"output_type":"stream","text":["The slope from 1880-1969 is: 0.004 °C/year\n","The r^2 value for 1980-1969 is: 0.345\n","The slope from 1970-2019 is: 0.019 °C/year\n","The r^2 value for 1970-2019 is: 0.895\n"],"name":"stdout"},{"output_type":"execute_result","data":{"text/plain":[""]},"metadata":{"tags":[]},"execution_count":6},{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["
"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"markdown","metadata":{"id":"eB0a9B4uacC8"},"source":["# **Breakout rooms: group 3 — 1-D interpolation (1990-1999)**"]},{"cell_type":"markdown","metadata":{"id":"jOI5QAOpacC8"},"source":["First, assign roles:\n","> * **Timekeeper:** keep things moving\n",">\n","> * **Coder:** share your screen and write the code based on input from everyone else\n",">\n","> * **Reporter:** before the end of the session, remind the Coder to paste their code into this [Google Document](https://docs.google.com/document/d/1UKJF4KzYkNGyVrQoyRU3FSopmGlBJD4zBNdAI3En8fU/edit?usp=sharing)\n","\n","If you need help, check out the Video Lesson #14 slides, [available here](https://drive.google.com/file/d/19x5N4Xl4_cJfdoU7ilA55eXKP7olZrDl/view?usp=sharing)."]},{"cell_type":"code","metadata":{"id":"e8VxmZAHajT4","colab":{"base_uri":"https://localhost:8080/","height":388},"executionInfo":{"status":"ok","timestamp":1605851572599,"user_tz":480,"elapsed":961,"user":{"displayName":"Ethan C Campbell","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjCBYTiuomqOsCakND1k_5wj0kYvFY53Jt7kunt=s64","userId":"11255944928409084259"}},"outputId":"f0852fd2-fd07-41eb-d9a2-bb811b61915f"},"source":["# 1. Create a copy of \"global_temp\" and save it as a new variable, \"gt_missing_1990s\".\n","gt_missing_1990s = global_temp.copy()\n","\n","# 2. Run the following lines of code to delete years 1990-1999 from \"gt_missing_1990s\".\n","years_missing_1990s = range(1990,2000)\n","gt_missing_1990s = gt_missing_1990s.drop(years_missing_1990s)\n","\n","# 3. Use SciPy's interp1d() to linearly interpolate the data in \"gt_missing_1990s\"\n","# to the missing years, which are stored in the variable \"years_missing_1990s\".\n","interp_func = interpolate.interp1d(gt_missing_1990s.index,gt_missing_1990s['Temp_anomaly'],\n"," kind='linear',bounds_error=False,fill_value=np.NaN)\n","gt_new_1990s = interp_func(years_missing_1990s)\n","\n","# 4. Make a black solid line plot of the original 1880-2019 time series in \"global_temp\".\n","# Add a grid and axis labels.\n","plt.figure(figsize=(13,6))\n","plt.plot(global_temp.index,global_temp['Temp_anomaly'],c='k',label='Original data')\n","plt.grid()\n","plt.xlabel('Years')\n","plt.ylabel('Temperature anomaly (°C)')\n","\n","# 5. On the same plot, add red scatter points for the incomplete time series in \"gt_missing_1990s\".\n","plt.scatter(gt_missing_1990s.index,gt_missing_1990s['Temp_anomaly'],c='r',label='Incomplete data')\n","\n","# 6. On the same plot, add blue scatter points for the temperatures interpolated to years in \"years_missing_1990s\".\n","plt.scatter(years_missing_1990s,gt_new_1990s,c='b',label='Interpolated data')\n","\n","# 7. Add label arguments to your plot functions above, then add a legend.\n","plt.legend();\n","\n","# 8. In these Python comment lines, answer the following questions:\n","# a. How would you rate the accuracy of the interpolated temperature estimates for 1990-1999?\n","# A: Decent, since they pass through the original (real) data\n","# b. How would the interpolation look different if data were missing from 1990-2001 instead of 1990-1999?\n","# A: Very different; this shows how sensitive interpolation is to start/end values"],"execution_count":8,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["
"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"markdown","metadata":{"id":"w0-gURapd_-G"},"source":["# **Breakout rooms: group 4 — 1-D interpolation (1935-1945)**"]},{"cell_type":"markdown","metadata":{"id":"XMCoRoh1d_-G"},"source":["First, assign roles:\n","> * **Timekeeper:** keep things moving\n",">\n","> * **Coder:** share your screen and write the code based on input from everyone else\n",">\n","> * **Reporter:** before the end of the session, remind the Coder to paste their code into this [Google Document](https://docs.google.com/document/d/1UKJF4KzYkNGyVrQoyRU3FSopmGlBJD4zBNdAI3En8fU/edit?usp=sharing)\n","\n","If you need help, check out the Video Lesson #14 slides, [available here](https://drive.google.com/file/d/19x5N4Xl4_cJfdoU7ilA55eXKP7olZrDl/view?usp=sharing)."]},{"cell_type":"code","metadata":{"id":"1Qv10q1YeFQJ","colab":{"base_uri":"https://localhost:8080/","height":388},"executionInfo":{"status":"ok","timestamp":1605851648774,"user_tz":480,"elapsed":1315,"user":{"displayName":"Ethan C Campbell","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjCBYTiuomqOsCakND1k_5wj0kYvFY53Jt7kunt=s64","userId":"11255944928409084259"}},"outputId":"108b210f-abac-4369-9825-aeb93446fbc6"},"source":["# 1. Create a copy of \"global_temp\" and save it as a new variable, \"gt_missing_ww2\".\n","gt_missing_ww2 = global_temp.copy()\n","\n","# 2. Run the following lines of code to delete years 1935-1945 from \"gt_missing_ww2\".\n","years_missing_ww2 = range(1935,1946)\n","gt_missing_ww2 = gt_missing_ww2.drop(years_missing_ww2)\n","\n","# 3. Use SciPy's interp1d() to linearly interpolate the data in \"gt_missing_ww2\"\n","# to the missing years, which are stored in the variable \"years_missing_ww2\".\n","interp_func = interpolate.interp1d(gt_missing_ww2.index,gt_missing_ww2['Temp_anomaly'],\n"," kind='linear',bounds_error=False,fill_value=np.NaN)\n","gt_new_ww2 = interp_func(years_missing_ww2)\n","\n","# 4. Make a black solid line plot of the original 1880-2019 time series in \"global_temp\".\n","# Add a grid and axis labels.\n","plt.figure(figsize=(13,6))\n","plt.plot(global_temp.index,global_temp['Temp_anomaly'],c='k',label='Original data')\n","plt.grid()\n","plt.xlabel('Years')\n","plt.ylabel('Temperature anomaly (°C)')\n","\n","# 5. On the same plot, add red scatter points for the incomplete time series in \"gt_missing_ww2\".\n","plt.scatter(gt_missing_ww2.index,gt_missing_ww2['Temp_anomaly'],c='r',label='Incomplete data')\n","\n","# 6. On the same plot, add blue scatter points for the temperatures interpolated to years in \"years_missing_ww2\".\n","plt.scatter(years_missing_ww2,gt_new_ww2,c='b',label='Interpolated data')\n","\n","# 7. Add label arguments to your plot functions above, then add a legend.\n","plt.legend();\n","\n","# 8. In these Python comment lines, answer the following questions:\n","# a. How would you rate the accuracy of the interpolated temperature estimates for 1935-1945?\n","# A: Quite poor; the interpolated points miss the temporary bump in temperature\n","# b. What does this experience tell you about linear interpolation?\n","# A: Linear interpolation is only good when the data are behaving linearly, \n","# and the start, middle, and end values are not outliers"],"execution_count":9,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["
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