From e4a480ae2533638d082ea1742b222a707f002313 Mon Sep 17 00:00:00 2001
From: Oliver <ovaningen@student.unimelb.edu.au>
Date: Sat, 24 Apr 2021 14:27:32 +1000
Subject: [PATCH] Added csv for maximum average over a single day, for maximum
one hour average and for average over the entire year/dataset
---
2016_1HR.csv | 1 +
2016_AV_READING.csv | 9 +++++++++
2016_MAX_1HR_READING.csv | 9 +++++++++
2016_MAX_24HR_READING.csv | 9 +++++++++
ovi.py | 28 ++++++++++++++++++++++++++++
5 files changed, 56 insertions(+)
create mode 100644 2016_AV_READING.csv
create mode 100644 2016_MAX_1HR_READING.csv
create mode 100644 2016_MAX_24HR_READING.csv
create mode 100644 ovi.py
diff --git a/2016_1HR.csv b/2016_1HR.csv
index 402efc6..29f45c8 100644
--- a/2016_1HR.csv
+++ b/2016_1HR.csv
@@ -1,3 +1,4 @@
+sp_name,sample_datetime,time_basis_id,value
Alphington,01-01-16 0:00,1HR_AV,22.79999924
Alphington,01-01-16 1:00,1HR_AV,26.39999962
Alphington,01-01-16 2:00,1HR_AV,22.60000038
diff --git a/2016_AV_READING.csv b/2016_AV_READING.csv
new file mode 100644
index 0000000..36eb0a4
--- /dev/null
+++ b/2016_AV_READING.csv
@@ -0,0 +1,9 @@
+sp_name,value
+Alphington,14.423692019423688
+Brooklyn,20.259909177105143
+Dandenong,15.554988189340063
+Footscray,15.077387055742498
+Geelong South,17.114088090521765
+Mooroolbark,13.03298071988639
+Richmond,16.088718474207894
+Traralgon,13.789331489934671
diff --git a/2016_MAX_1HR_READING.csv b/2016_MAX_1HR_READING.csv
new file mode 100644
index 0000000..95d35b4
--- /dev/null
+++ b/2016_MAX_1HR_READING.csv
@@ -0,0 +1,9 @@
+sp_name,value
+Alphington,310.5
+Brooklyn,292.8999939
+Dandenong,189.8999939
+Footscray,180.5
+Geelong South,919.0999756
+Mooroolbark,304.1000061
+Richmond,336.2000122
+Traralgon,120.0999985
diff --git a/2016_MAX_24HR_READING.csv b/2016_MAX_24HR_READING.csv
new file mode 100644
index 0000000..dbd0bb8
--- /dev/null
+++ b/2016_MAX_24HR_READING.csv
@@ -0,0 +1,9 @@
+sp_name,value
+Alphington,37.87500011879167
+Brooklyn,82.41250022125
+Dandenong,40.941667120000005
+Footscray,42.65833330041665
+Geelong South,68.35000076016667
+Mooroolbark,44.6833333975
+Richmond,35.79583295166666
+Traralgon,49.191666285416666
diff --git a/ovi.py b/ovi.py
new file mode 100644
index 0000000..84d2632
--- /dev/null
+++ b/ovi.py
@@ -0,0 +1,28 @@
+import pandas as pandas
+
+air_quality_readings = pandas.read_csv("2016_1HR.csv", dtype="str", low_memory=False)
+def time_to_iso8601(old):
+ #01-01-16 0:00 to 2016-01-01T00:00
+ parts = old.split(" ")
+ old_date = parts[0]
+ new_date = "20" + old_date[6:8] + "-" + old_date[3:5] + "-" + old_date[0:2]
+ old_time = parts[1]
+ time = new_date + "T" + old_time.zfill(5)
+ return time
+
+air_quality_readings["sample_datetime"] = air_quality_readings["sample_datetime"].apply(time_to_iso8601)
+air_quality_readings = air_quality_readings.drop("time_basis_id", axis=1)
+
+air_quality_readings = air_quality_readings.sort_values(['sp_name', 'sample_datetime'])
+air_quality_readings['sample_datetime'] = pandas.to_datetime(air_quality_readings['sample_datetime'], format = "%Y-%m-%dT%H:%M")
+air_quality_readings['value'] = air_quality_readings['value'].astype(float)
+air_quality_readings = air_quality_readings.set_index(["sample_datetime"])
+max_readings = air_quality_readings.groupby(['sp_name']).max()
+
+max_readings.to_csv(path_or_buf = "2016_MAX_1HR_READING.csv")
+
+max_24HR = air_quality_readings.groupby(["sp_name"]).resample("D").mean().groupby(["sp_name"]).max()
+max_24HR.to_csv(path_or_buf = "2016_MAX_24HR_READING.csv")
+
+average = air_quality_readings.groupby(["sp_name"]).mean()
+average.to_csv(path_or_buf = "2016_AV_READING.csv")
\ No newline at end of file
--
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