Rodriguez EX6 submission

EX6_Answers.py

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+# -*- coding: utf-8 -*-
+"""
+Created on Thu Oct 11 23:37:13 2018
+
+@author: Rachel R
+"""
+
+pwd
+cd desktop
+cd data-shell
+ls
+cd IBC_EX6
+
+#Question 1 
+import pandas as pd    
+iris = pd.read_csv("/Users/Rachel R/Desktop/data-shell/IBC_EX6/iris.csv")
+n = 5
+head = iris[0:n]
+print(head)
+
+#Question 2
+#Print the last 2 rows and last 2 columns of iris.csv to the python terminal
+tail = iris.iloc[148:150, 3:5]
+print(tail)
+
+#Get the number of observations for each species included in the dataset
+observations = iris["Species"].value_counts()
+print(observations)
+
+#Get rows with Sepal.Width > 3.5
+Sepalwidth = iris.loc[iris['Sepal.Width'] > 3.5]
+print(Sepalwidth)
+
+#Write the data for the species setosa to a comma delimited file
+setosa = iris[iris["Species"]=="setosa"]
+setosa.to_csv("setosa.csv")
+import pandas
+pandas.read_csv("setosa.csv")
+
+#Calculate mean, min, max, of Petal.Length for observations from virginica
+import numpy
+Virginica = iris[iris['Species']=='virginica']['Petal.Length']
+maxval, minval, meanval = numpy.max(Virginica), numpy.min(Virginica), numpy.mean(Virginica)
+
+print('maximum value', maxval)
+print('minimum value', minval)
+print('mean value', meanval)   

EX7_answers.py

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+# -*- coding: utf-8 -*-
+"""
+Created on Fri Oct 12 11:11:34 2018
+
+@author: Rachel R
+"""
+# Question 1
+import pandas as pd
+irisdata = pd.read_csv("/Users/Rachel R/Desktop/data-shell/IBC_EX6/iris.csv")
+
+def cut_sect(file):
+    cut_section = file.iloc[::2]
+    return cut_section
+
+print cut_sect(irisdata)
+
+# Question 2
+#Return the number of observations for a given species included in the data set
+def species_cut():
+    observations = irisdata["Species"].value_counts()
+    return observations
+print species_cut()
+
+#Return a dataframe for flowers with Sepal.Width greater than a given value specified by the function user
+def sepalwidth_cut(x):
+    Sepalwidth = irisdata.loc[irisdata["Sepal.Width"] > x]
+    return Sepalwidth
+print sepalwidth_cut(3)
+
+#Write the data for a given species to a comma-demilited file with the given species name as the file name: Hint: look at + or % to concatenate your species name and ".csv"
+def species_cut(x):
+    x = irisdata[irisdata["Species"]=="virginica"]
+    x.to_csv("virginica")
+    return x
+print species_cut("virginica")

head.py

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+import pandas as pd
+iris = pd.read_csv("/Users/Rachel R/Desktop/data-shell/IBC_EX6/iris.csv")
+n = 5
+head = iris[0:n]
+print(head)

setosa.csv

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+,Sepal.Length,Sepal.Width,Petal.Length,Petal.Width,Species
+0,5.1,3.5,1.4,0.2,setosa
+1,4.9,3.0,1.4,0.2,setosa
+2,4.7,3.2,1.3,0.2,setosa
+3,4.6,3.1,1.5,0.2,setosa
+4,5.0,3.6,1.4,0.2,setosa
+5,5.4,3.9,1.7,0.4,setosa
+6,4.6,3.4,1.4,0.3,setosa
+7,5.0,3.4,1.5,0.2,setosa
+8,4.4,2.9,1.4,0.2,setosa
+9,4.9,3.1,1.5,0.1,setosa
+10,5.4,3.7,1.5,0.2,setosa
+11,4.8,3.4,1.6,0.2,setosa
+12,4.8,3.0,1.4,0.1,setosa
+13,4.3,3.0,1.1,0.1,setosa
+14,5.8,4.0,1.2,0.2,setosa
+15,5.7,4.4,1.5,0.4,setosa
+16,5.4,3.9,1.3,0.4,setosa
+17,5.1,3.5,1.4,0.3,setosa
+18,5.7,3.8,1.7,0.3,setosa
+19,5.1,3.8,1.5,0.3,setosa
+20,5.4,3.4,1.7,0.2,setosa
+21,5.1,3.7,1.5,0.4,setosa
+22,4.6,3.6,1.0,0.2,setosa
+23,5.1,3.3,1.7,0.5,setosa
+24,4.8,3.4,1.9,0.2,setosa
+25,5.0,3.0,1.6,0.2,setosa
+26,5.0,3.4,1.6,0.4,setosa
+27,5.2,3.5,1.5,0.2,setosa
+28,5.2,3.4,1.4,0.2,setosa
+29,4.7,3.2,1.6,0.2,setosa
+30,4.8,3.1,1.6,0.2,setosa
+31,5.4,3.4,1.5,0.4,setosa
+32,5.2,4.1,1.5,0.1,setosa
+33,5.5,4.2,1.4,0.2,setosa
+34,4.9,3.1,1.5,0.2,setosa
+35,5.0,3.2,1.2,0.2,setosa
+36,5.5,3.5,1.3,0.2,setosa
+37,4.9,3.6,1.4,0.1,setosa
+38,4.4,3.0,1.3,0.2,setosa
+39,5.1,3.4,1.5,0.2,setosa
+40,5.0,3.5,1.3,0.3,setosa
+41,4.5,2.3,1.3,0.3,setosa
+42,4.4,3.2,1.3,0.2,setosa
+43,5.0,3.5,1.6,0.6,setosa
+44,5.1,3.8,1.9,0.4,setosa
+45,4.8,3.0,1.4,0.3,setosa
+46,5.1,3.8,1.6,0.2,setosa
+47,4.6,3.2,1.4,0.2,setosa
+48,5.3,3.7,1.5,0.2,setosa
+49,5.0,3.3,1.4,0.2,setosa