Bar Graphs- Simple, Stacked, Back-to-Back - P4

Topics to be covered

1. Plotting simple Bar Graphs -- Completed
2. Plotting Stacked Bar Charts -- Completed
3. Plotting Back-to-Back Bar Charts

Code Starts Here
==============

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt

df = pd.read_csv('train.csv')

# Plot the simple Bar Charts

X = [7, 28, 45, 65]
plt.bar(range(len(X)),X)
plt.show()

survived_by_class = df.groupby('Pclass')['Survived'].mean()
survived_by_class.plot(kind='bar',color='g',title = 'Survival Rate by Class', sharey=True)
plt.show()


survived_by_sex = df.groupby('Sex')['Survived'].mean()
survived_by_sex.plot(kind='bar',color='g',title = 'Survival Rate by sex', sharey=True)
plt.show()


survived_by_age = df.groupby('Age')['Survived'].mean()
survived_by_age.plot(kind='bar',color='g',title = 'Survival Rate by Age', sharey=True)
plt.show()


survived_by_embarked = df.groupby('Embarked')['Survived'].mean()
survived_by_embarked.plot(kind='bar',color='g',title = 'Survival Rate by Embarked', sharey=True)
plt.show()

''' Plotting Stacked Bar Charts '''

X = [7, 28, 45, 85]
Y = [5, 22, 35, 15]

range1 = range(len(X))

plt.bar(range1,X,color='b')
plt.bar(range1,Y,color='y')
plt.title(' X V/s Y')
plt.show()

table = pd.pivot_table(data=df,values='PassengerId',index='Pclass', columns='Survived', aggfunc='count')
print(table)

bar1 = table[0]
bar2 = table[1]

x_len = np.arange(len(bar1))

firstbar = plt.bar(x_len, bar1, 0.6, color = 'r')
secondbar = plt.bar(x_len, bar2, 0.6, color = 'g',bottom=bar1)
plt.xticks(x_len+0.09, ('Pclass1','Pclass2','Pclass3'))
plt.legend()
plt.title('Survived')
plt.show()

''' Plotting Back-to-Back Bar Charts '''

X = np.array([7, 28, 45, 85])
Y = np.array([5, 22, 35, 15])

n = np.arange(len(X))

plt.barh(n , X, color = 'r')
plt.barh(n, -Y, color = 'b')
plt.show()

table = pd.pivot_table(data=df,values='PassengerId',index='Pclass', columns='Survived', aggfunc='count')
print(table)

bar1 = table[0]
bar2 = table[1]

x_len = np.arange(len(bar1))

firstbar = plt.barh(x_len, bar1, 0.6, color = 'r')
secondbar = plt.barh(x_len, -bar2, 0.6, color = 'g')
#plt.xticks(x_len+0.09, ('Pclass1','Pclass2','Pclass3'))
#plt.legend()
plt.title('Survived')
plt.show()

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