text_html_output_1.png
import matplotlib.pyplot as plt

import pandas as pd

import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)

import seaborn as sns

train = pd.read_csv('../input/titanic/train.csv')
test = pd.read_csv('../input/titanic/test.csv')

train.columns

train.isnull()

fig, ax = plt.subplots(1,2,figsize=(12,6))

train['Survived'].value_counts().plot.pie(explode=[0,0.1],autopct='%1.1f%%',ax=ax[0],shadow=True, startangle=90,colormap='OrRd_r')
sns.countplot('Survived', data=train, ax=ax[1], palette='OrRd')
ax[0].set_title('Pie plot - Survivrd')
ax[1].set_title('Count plot - Survived')
ax[0].set_ylabel('Survival')
plt.show()

sns.countplot(x='Survived', data=train, hue='Sex', palette='OrRd_r')
plt.legend(loc='upper right')