Streff

Answers_Exercise7.py

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+#Loading iris.csv
+import pandas as pd
+irisdata=pd.read_csv('iris.csv')
+#1 Write a function that returns the odd rows of irisdata
+def odd(x):
+    odd_rows=[x.iloc[1::2]]
+    return odd_rows
+answer=odd(irisdata)
+print answer
+
+#2.1 Number of observations for a given species 
+def species(y):
+    Number=irisdata[irisdata.Species.str.contains(y)]
+    return Number
+virginica=species('virginica')
+setosa=species('setosa')
+versicolor=species('versicolor')
+def count(x):
+    count=x['Species'].value_counts()
+    return count
+final_answer_virginica=count(virginica)
+print final_answer_virginica
+final_answer_setosa=count(setosa)
+print final_answer_setosa
+final_answer_versicolor=count(versicolor)
+print final_answer_versicolor
+
+#2.2 Return a dataframe for flowers with Sepal.Width greater than a specified value
+def width(x):
+    rows=irisdata[irisdata['Sepal.Width']>x]
+    return rows
+print width(2)
+print width(4)
+print width(4).shape
+print width(3.6)
+
+#2.3 Write the data for a given species to a comma-delimited file
+def species_1(x):
+    species_1=irisdata[irisdata.Species.str.contains(x)]
+    str1=x
+    str2=".csv"
+    file=str1+str2
+    species_1.to_csv(file)
+    Species=pd.read_csv(file)
+    return Species
+print species_1('setosa')
+print species_1('versicolor')
+print species_1('virginica')