From cf0c4887348e23dd9f6b6fe31903cae78a6be5ed Mon Sep 17 00:00:00 2001
From: yunluyingying <yingyingchen10@gmail.com>
Date: Fri, 22 Sep 2017 14:25:39 -0400
Subject: [PATCH 1/2] Yingying_Exercise5

---
 Exercise_5.py |   22 +
 Figure_1.png  |  Bin 0 -> 16899 bytes
 stdout.csv    | 3295 +++++++++++++++++++++++++++++++++++++++++++++++++
 3 files changed, 3317 insertions(+)
 create mode 100644 Exercise_5.py
 create mode 100644 Figure_1.png
 create mode 100644 stdout.csv

diff --git a/Exercise_5.py b/Exercise_5.py
new file mode 100644
index 0000000..9ef8fb2
--- /dev/null
+++ b/Exercise_5.py
@@ -0,0 +1,22 @@
+# Challenge 1
+import pandas as pd
+data=pd.read_csv("/Users/chenyingying/Documents/Intro_Biocom_ND_319_Tutorial5/wages.csv")
+data1=data.iloc[:,0:2]
+stdout=data1.sort_values('gender').sort_values('yearsExperience')
+stdout=pd.DataFrame(stdout)
+stdout.to_csv('stdout.csv',sep=' ', index=False)
+# Challenge 2 
+#The gender, yearsExperience, wage for the lowest earners
+data.sort_values('wage').head(n=1).loc[:,['gender','yearsExperience','wage']]
+#The gender, yearsExperience, wage for the highest earners
+data.sort_values('wage').tail(n=1).loc[:,['gender','yearsExperience','wage']]
+#females in the top ten earners 
+sum(data.sort_values('wage').tail(n=10).iloc[:,0]=='female')
+# Challenge 3
+import matplotlib.pyplot as plt
+y=[data.loc[data.iloc[:,2].values==12,'wage'].min(),data.loc[data.iloc[:,2].values==16,'wage'].min()]
+x=[12,16]
+plt.scatter(x,y)
+plt.title('Effect of graduating college on the min wage')
+plt.xlabel('yearsSchool')
+plt.ylabel('Minimum wage')
\ No newline at end of file
diff --git a/Figure_1.png b/Figure_1.png
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diff --git a/stdout.csv b/stdout.csv
new file mode 100644
index 0000000..926a682
--- /dev/null
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From 17b48022db2463aae3d57f04e9a7748334d0aaa8 Mon Sep 17 00:00:00 2001
From: yunluyingying <yingyingchen10@gmail.com>
Date: Fri, 22 Sep 2017 14:40:55 -0400
Subject: [PATCH 2/2] Yingying_Exercise5

---
 Exercise_5.py |    6 +-
 stdout.csv    | 3329 +------------------------------------------------
 2 files changed, 37 insertions(+), 3298 deletions(-)

diff --git a/Exercise_5.py b/Exercise_5.py
index 9ef8fb2..7775cb3 100644
--- a/Exercise_5.py
+++ b/Exercise_5.py
@@ -2,9 +2,9 @@
 import pandas as pd
 data=pd.read_csv("/Users/chenyingying/Documents/Intro_Biocom_ND_319_Tutorial5/wages.csv")
 data1=data.iloc[:,0:2]
-stdout=data1.sort_values('gender').sort_values('yearsExperience')
+stdout=data1.drop_duplicates().sort_values(['gender','yearsExperience'])
 stdout=pd.DataFrame(stdout)
-stdout.to_csv('stdout.csv',sep=' ', index=False)
+stdout.to_csv('stdout.csv',sep=',',index=False)
 # Challenge 2 
 #The gender, yearsExperience, wage for the lowest earners
 data.sort_values('wage').head(n=1).loc[:,['gender','yearsExperience','wage']]
@@ -19,4 +19,4 @@
 plt.scatter(x,y)
 plt.title('Effect of graduating college on the min wage')
 plt.xlabel('yearsSchool')
-plt.ylabel('Minimum wage')
\ No newline at end of file
+plt.ylabel('Minimum wage')
diff --git a/stdout.csv b/stdout.csv
index 926a682..2ad845d 100644
--- a/stdout.csv
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@@ -1,3295 +1,34 @@
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