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Rename datetime column to recorded_at #62

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Merged
frankier merged 1 commit into from
Feb 10, 2026
Merged

Rename datetime column to recorded_at #62

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8 changes: 4 additions & 4 deletions content/code/python/abstracting-plot.py
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Original file line number Diff line number Diff line change
Expand Up @@ -40,11 +40,11 @@ def plot(column, label, location, color, compute_mean):
# read data
data = pd.read_csv("weather_data.csv")

# combine 'date' and 'time' into a single datetime column
data["datetime"] = pd.to_datetime(data["date"] + " " + data["time"])
# combine 'date' and 'time' into a single column 'recorded_at' as type datetime
data["recorded_at"] = pd.to_datetime(data["date"] + " " + data["time"])

# set datetime as index for convenience
data = data.set_index("datetime")
# set 'recorded_at' as index for convenience
data = data.set_index("recorded_at")


for month in ["2024-01", "2024-02", "2024-03"]:
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9 changes: 4 additions & 5 deletions content/code/python/add-iteration.py
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Original file line number Diff line number Diff line change
Expand Up @@ -5,12 +5,11 @@
# read data
data = pd.read_csv("weather_data.csv")

# combine 'date' and 'time' into a single datetime column
data["datetime"] = pd.to_datetime(data["date"] + " " + data["time"])

# set datetime as index for convenience
data = data.set_index("datetime")
# combine 'date' and 'time' into a single column 'recorded_at' as type datetime
data["recorded_at"] = pd.to_datetime(data["date"] + " " + data["time"])

# set 'recorded_at' as index for convenience
data = data.set_index("recorded_at")

for month in ["2024-01", "2024-02", "2024-03"]:
data_month = data.loc[month]
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8 changes: 4 additions & 4 deletions content/code/python/cli.py
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Original file line number Diff line number Diff line change
Expand Up @@ -10,11 +10,11 @@
def read_data(file_name):
data = pd.read_csv(file_name)

# combine 'date' and 'time' into a single datetime column
data["datetime"] = pd.to_datetime(data["date"] + " " + data["time"])
# combine 'date' and 'time' into a single column 'recorded_at' as type datetime
data["recorded_at"] = pd.to_datetime(data["date"] + " " + data["time"])

# set datetime as index for convenience
data = data.set_index("datetime")
# set 'recorded_at' as index for convenience
data = data.set_index("recorded_at")

return data

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10 changes: 5 additions & 5 deletions content/code/python/initial-version-with-mean.py
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Original file line number Diff line number Diff line change
Expand Up @@ -5,13 +5,13 @@
# read data
data = pd.read_csv("weather_data.csv")

# combine 'date' and 'time' into a single datetime column
data["datetime"] = pd.to_datetime(data["date"] + " " + data["time"])
# combine 'date' and 'time' into a single column 'recorded_at' as type datetime
data["recorded_at"] = pd.to_datetime(data["date"] + " " + data["time"])

# set datetime as index for convenience
data = data.set_index("datetime")
# set 'recorded_at' as index for convenience
data = data.set_index("recorded_at")

# keep only january data
# keep only january data using datetime period indexing
january = data.loc["2024-01"]

fig, ax = plt.subplots()
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10 changes: 5 additions & 5 deletions content/code/python/initial-version-with-precipitation.py
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Original file line number Diff line number Diff line change
Expand Up @@ -5,13 +5,13 @@
# read data
data = pd.read_csv("weather_data.csv")

# combine 'date' and 'time' into a single datetime column
data["datetime"] = pd.to_datetime(data["date"] + " " + data["time"])
# combine 'date' and 'time' into a single column 'recorded_at' as type datetime
data["recorded_at"] = pd.to_datetime(data["date"] + " " + data["time"])

# set datetime as index for convenience
data = data.set_index("datetime")
# set 'recorded_at' as index for convenience
data = data.set_index("recorded_at")

# keep only january data
# keep only january data using datetime period indexing
january = data.loc["2024-01"]

fig, ax = plt.subplots()
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10 changes: 5 additions & 5 deletions content/code/python/initial-version.py
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Original file line number Diff line number Diff line change
Expand Up @@ -5,13 +5,13 @@
# read data
data = pd.read_csv("weather_data.csv")

# combine 'date' and 'time' into a single datetime column
data["datetime"] = pd.to_datetime(data["date"] + " " + data["time"])
# combine 'date' and 'time' into a single column 'recorded_at' as type datetime
data["recorded_at"] = pd.to_datetime(data["date"] + " " + data["time"])

# set datetime as index for convenience
data = data.set_index("datetime")
# set 'recorded_at' as index for convenience
data = data.set_index("recorded_at")

# keep only january data
# keep only january data using datetime period indexing
january = data.loc["2024-01"]

fig, ax = plt.subplots()
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8 changes: 4 additions & 4 deletions content/code/python/small-improvements.py
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Original file line number Diff line number Diff line change
Expand Up @@ -5,11 +5,11 @@
def read_data(file_name):
data = pd.read_csv(file_name)

# combine 'date' and 'time' into a single datetime column
data["datetime"] = pd.to_datetime(data["date"] + " " + data["time"])
# combine 'date' and 'time' into a single column 'recorded_at' as type datetime
data["recorded_at"] = pd.to_datetime(data["date"] + " " + data["time"])

# set datetime as index for convenience
data = data.set_index("datetime")
# set 'recorded_at' as index for convenience
data = data.set_index("recorded_at")

return data

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8 changes: 4 additions & 4 deletions content/code/python/testing.py
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Original file line number Diff line number Diff line change
Expand Up @@ -6,11 +6,11 @@
def read_data(file_name):
data = pd.read_csv(file_name)

# combine 'date' and 'time' into a single datetime column
data["datetime"] = pd.to_datetime(data["date"] + " " + data["time"])
# combine 'date' and 'time' into a single column 'recorded_at' as type datetime
data["recorded_at"] = pd.to_datetime(data["date"] + " " + data["time"])

# set datetime as index for convenience
data = data.set_index("datetime")
# set 'recorded_at' as index for convenience
data = data.set_index("recorded_at")

return data

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8 changes: 4 additions & 4 deletions content/code/python/towards-pure.py
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Original file line number Diff line number Diff line change
Expand Up @@ -5,11 +5,11 @@
def read_data(file_name):
data = pd.read_csv(file_name)

# combine 'date' and 'time' into a single datetime column
data["datetime"] = pd.to_datetime(data["date"] + " " + data["time"])
# combine 'date' and 'time' into a single column 'recorded_at' as type datetime
data["recorded_at"] = pd.to_datetime(data["date"] + " " + data["time"])

# set datetime as index for convenience
data = data.set_index("datetime")
# set 'recorded_at' as index for convenience
data = data.set_index("recorded_at")

return data

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