Start at step 3

Author: frankier

content/code/python/initial-version-with-mean.py

@@ -24,6 +24,17 @@
     color="red",
 )
 
+values = january["air_temperature_celsius"].values
+mean_temp = sum(values) / len(values)
+
+# mean temperature (as horizontal dashed line)
+ax.axhline(
+    y=mean_temp,
+    label=f"mean air temperature (C): {mean_temp:.1f}",
+    color="red",
+    linestyle="--",
+)
+
 ax.set_title("air temperature (C) at Helsinki airport")
 ax.set_xlabel("date and time")
 ax.set_ylabel("air temperature (C)")
@@ -34,3 +45,24 @@
 fig.autofmt_xdate()
 
 fig.savefig("2024-01-temperature.png")
+
+fig, ax = plt.subplots()
+
+# precipitation time series
+ax.plot(
+    january.index,
+    january["precipitation_mm"],
+    label="precipitation (mm)",
+    color="blue",
+)
+
+ax.set_title("precipitation (mm) at Helsinki airport")
+ax.set_xlabel("date and time")
+ax.set_ylabel("precipitation (mm)")
+ax.legend()
+ax.grid(True)
+
+# format x-axis for better date display
+fig.autofmt_xdate()
+
+fig.savefig("2024-01-precipitation.png")

content/code/python/initial-version-with-precipitation.py

@@ -18,24 +18,24 @@ Learners can also explore some of these steps in one of the exercise sessions.
 ## Checklist
 
 - Start with notebook
-- Add statistics (mean temperature)
-- Add precipitation
 - Generalize from January to also February and March data
 - Abstract code into functions
 - Move from notebook to script
 - From functions with side-effects towards stateless functions
 - Initialize git
 - Add `requirements.txt`
-- Add test
+- Add test (optional)
 - Add command line interface
 - Show how a workflow solution could look
 - Split into multiple files/modules
 
 
 ## Our initial version
 
-We imagine that we assemble a working script/code
-from various internet research/ AI chat
+The initial version of our script for this exercise plots a series of
+temperatures and precipitations for **January** as well as
+the **mean temperature** averaged over the month. Suppose that we
+assemble a working script from various internet research/AI chat
 recommendations and arrive at:
 
 :::::{tabs}
@@ -55,47 +55,6 @@ recommendations and arrive at:
 - We test it out **in a notebook**.
 
 
-## We add a dashed line representing the mean temperature
-
-This is still only the January data.
-
-:::::{tabs}
-  ::::{group-tab} Python
-    :::{literalinclude} code/python/initial-version-with-mean.py
-    :language: python
-    :emphasize-lines: 27-36
-    :::
-  ::::
-
-  ::::{group-tab} R
-    Work in progress. You can
-    [help us](https://github.com/coderefinery/modular-type-along/issues/40)
-    by contributing or improving an R solution.
-  ::::
-:::::
-
-
-## We add another plot for the precipitation
-
-As a first go, we achieve this by copy pasting the existing code and adjusting
-it for the precipitation column.
-
-:::::{tabs}
-  ::::{group-tab} Python
-    :::{literalinclude} code/python/initial-version-with-precipitation.py
-    :language: python
-    :emphasize-lines: 49-68
-    :::
-  ::::
-
-  ::::{group-tab} R
-    Work in progress. You can
-    [help us](https://github.com/coderefinery/modular-type-along/issues/40)
-    by contributing or improving an R solution.
-  ::::
-:::::
-
-
 ## Plotting also February and March data
 
 - Copy-pasting very similar code 6 times would be too complicated to maintain.

content/code/python/initial-version.py

@@ -20,10 +20,12 @@ under the Creative Commons Attribution 4.0 International license (CC BY 4.0):
 
 ## Our starting point
 
-Our initial goal for this exercise is to plot a series of temperatures and
-precipitations for **January** and to compute and plot the **mean temperature**
-averaged over the month. Suppose that we assemble a working script from
-various internet research/AI chat recommendations and arrive at:
+Our starting point for this exercise is a script which plots a series of
+temperatures and precipitations for **January** as well as
+the **mean temperature** averaged over the month. Suppose that we
+assemble a working script from various internet research/AI chat
+recommendations and arrive at:
+
 :::::{tabs}
   ::::{group-tab} Python
     :::{literalinclude} code/python/initial-version.py
@@ -44,7 +46,7 @@ languages in its place. For the Python experts: we will not see the most
 elegant Python.
 
 
-## Further goals
+## Goals
 
 - Once we get this working for **January**, our task changes to also
   plot the **February** and the **March** in two additional