Bird migration (prateekiiest#174)

* Imported required modules and csv data. Added requirements.txt

* Commented out the head() calls as they don't need to run in the script. Clarified how they can be used in ipython in the comments

* Labelled y-axis

* Fixed csv source file URL length issue

Author: mushmula27

Code-Sleep-Python/Bird_migration/code.py

@@ -1,28 +1,37 @@
+import pandas as pd
+import matplotlib.pyplot as plt
+import numpy as np
+
+# Import bird data
+birddata = pd.read_csv('https://d37djvu3ytnwxt.cloudfront.net/assets/'
+'courseware/v1/c72498a54a4513c2eb4ec005adc0010c/'
+'asset-v1:HarvardX+PH526x+3T2016+type@asset+block/bird_tracking.csv')
+
 # First, use `groupby` to group up the data.
 grouped_birds = birddata.groupby("bird_name")
 
 # Now operations are performed on each group.
 mean_speeds = grouped_birds.speed_2d.mean()
 
 # The `head` method prints the first 5 lines of each bird.
-grouped_birds.head()
+# This is useful if you are running this in ipython and need to see some data.
+# Call this only on pandas data frame.
+# mean_speeds.head()
 
 # Find the mean `altitude` for each bird.
 # Assign this to `mean_altitudes`.
 
 mean_altitudes = grouped_birds.altitude.mean()
 
 
-
-
 # Convert birddata.date_time to the `pd.datetime` format.
 birddata.date_time = pd.to_datetime(birddata.date_time)
 
 # Create a new column of day of observation
 birddata["date"] = birddata.date_time.dt.date
 
-# Check the head of the column.
-birddata.date.head()
+# If you're in ipython and want to check the head of the column run:
+# birddata.date.head()
 
 grouped_bydates = birddata.groupby("date")
 mean_altitudes_perday = grouped_bydates.altitude.mean()
@@ -33,8 +42,8 @@
 grouped_birdday = birddata.groupby(["bird_name","date"])
 mean_altitudes_perday = grouped_birdday.altitude.mean()
 
-# look at the head of `mean_altitudes_perday`.
-mean_altitudes_perday.head()
+# If you're in ipython and want to look at the head of `mean_altitudes_perday` run:
+# mean_altitudes_perday.head()
 
 
 grouped_birdday = birddata.groupby(["bird_name","date"])
@@ -48,4 +57,5 @@
 sanne_daily_speed.plot(label="Sanne")
 nico_daily_speed.plot(label="Nico")
 plt.legend(loc="upper left")
+plt.ylabel("2D mean speed (m/s)")
 plt.show()

Code-Sleep-Python/Bird_migration/requirements.txt

@@ -0,0 +1,9 @@
+cycler==0.10.0
+kiwisolver==1.1.0
+matplotlib==3.1.1
+numpy==1.17.3
+pandas==0.25.2
+pyparsing==2.4.2
+python-dateutil==2.8.0
+pytz==2019.3
+six==1.12.0