Sanders

#1.py

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+# -*- coding: utf-8 -*-
+"""
+Created on Thu Oct 25 13:48:30 2018
+
+@author: vysan
+"""
+
+import pandas as pd
+def oddrows(filename):
+    data=pd.read_csv(filename,header=0,sep=",")
+    return data.iloc[1::2]
+print oddrows("filename") #filename is the name of the file with your dataframe 
+
+
+
+
+

#2.py

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+# -*- coding: utf-8 -*-
+"""
+Created on Thu Oct 25 14:15:49 2018
+
+@author: vysan
+"""
+#return number of observations for given species
+import pandas as pd
+data=pd.read_csv("iris.csv",header=0,sep=",")
+def count(name): 
+    return (data["Species"]==name).sum()
+count("name") #name is the name of the species of interest
+
+
+
+#return dataframe for flowers with Sepal.Width > than specified value 
+import pandas as pd
+data=pd.read_csv("iris.csv",header=0,sep=",")
+def sepalwidthgreaterthan(x):
+    return data[data["Sepal.Width"] > x]
+sepalwidthgreaterthan(x) #x is the specified value by the user 
+
+
+
+#write data for given species to comma-delimited file
+#with name "speciesname".csv
+import pandas as pd
+data=pd.read_csv("iris.csv",header=0,sep=",")
+def newfilefor(name):
+    new=data[data["Species"]==name]
+    new.to_csv(str(name)+".csv",sep=(","))
+newfilefor("name") #name is the name of the given species
+
+
+