Portmann

head.py

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+# -*- coding: utf-8 -*-
+"""
+Created on Sat Oct  6 16:09:30 2018
+
+Patricia Portmann
+Exercise06 - Part 1
+Python code that replicates head functionality
+
+@author: Patricia
+"""  
+# defines a function head
+def headPython (str, n) :
+    with open (str) as filename: # opens passed in string as filename
+        lines = [next(filename) for x in xrange(n)]
+    print(lines)
+
+headPython("iris.csv", 5)
+#calls the function, passes the string "iris.csv" and the number 5

part2.py

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+# -*- coding: utf-8 -*-
+"""
+Created on Mon Oct  8 15:38:14 2018
+
+Exercise06 Part 2: uses the data from iris.csv to do a couple different tasks
+
+@author: Patricia
+"""
+
+import pandas
+# pandas contains a DataFrame structure that can handle multiple data types
+# numpy can only handle integers
+
+data=pandas.read_csv("iris.csv") # data loaded into a data frame var "data" from iris.csv
+
+# prints the last two rows in the last two columns
+print("Part 1: Last two rows in the last two columns")
+last2rows=data.tail(n=2)
+last2rowcol=last2rows.iloc[:,3:]
+print(last2rowcol)
+
+# gets the number of observations for each species in the data
+print("Part 2: species count")
+totalrows=data.shape[0]
+# loop through rows
+setosa_count=0
+versicolor_count=0
+virginica_count=0
+for x in range(totalrows):
+    if data.iloc[x,4]=="setosa":
+        setosa_count += 1
+    else: 
+        if data.iloc[x,4]=="versicolor":
+            versicolor_count += 1
+        else: 
+            if data.iloc[x,4]=="virginica":
+                virginica_count += 1
+
+print("setosa count is: ")
+print(setosa_count)
+print("versicolor count is: ")
+print(versicolor_count)
+print("virginica count is: ")
+print(virginica_count)    
+
+# gets rows with sepal lengths > 3.5, only prints the row number
+# in order to print the whole row use the commented out "print(data.iloc[x,:])"
+print("Part 3: Rows in iris.csv with Sepal lengths greater than 3.5 ")
+for x in range(totalrows):
+    if data.iloc[x,1]>3.5:
+        print'row: ',x
+        # print(data.iloc[x,:])
+
+# writes the data for the species "setosa" into a comma delimited file 
+# named setosa.csv
+setosa=pandas.DataFrame(columns=['Sepal.Length','Sepal.Width','Petal.Length','Petal.Width','Species'])
+for x in range(totalrows):
+    if data.iloc[x,4]=="setosa":
+        setosa.loc[x]=data.iloc[x,:]
+
+setosa.to_csv('setosa.csv',header=True,index=False,sep=",")
+print("Part 4: setosa.csv is made")
+# header=True so that the headings for the olumns of the DataFrame are added to the .csv file
+# uses the sorted data and saves it in a .csv file with comma as delimiter
+
+# Calculate the mean, minimum, and maximum Petal.Length for virginica observations
+print("Part 5:")
+virginicaList=list() # declares a list of virginica Petal.Length
+for x in range(totalrows):
+    if data.iloc[x,4]=="virginica":
+        virginicaList.append(data.iloc[x,2]) # adds Petal.Length to list
+
+#virginicaSum=virginicaList.sum()
+#virginicaLength=virginicaList.len()
+virginicaMean=sum(virginicaList)/len(virginicaList)
+virginicaMin=min(virginicaList)
+virginicaMax=max(virginicaList)
+print"The mean petal length for virginica species is:",virginicaMean
+print"The minimum petal length for virginica species is:",virginicaMin
+print"The maximum petal length for virginica species is:",virginicaMax

test_head.txt

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+Patricia
+Marya
+Tyler
+Will
+Claire
+Mia
+Ali
+Gabriela
+Melanie
+Erica
+Shermeen
+Evan