前言：沒有具體的解釋，只有步驟，需要熟練哦

df['Embarked']=df['Embarked'].fillna('S') age_mean = df['Age'].mean() df['Age'] = df['Age'].fillna(age_mean) def sex2value(Sex):if Sex=='male':return 1else:return 0df['Sex']=df['Sex'].apply(sex2value)

survice_passenger_df =df[df['Survived']==1] survice_passenger_df.head(10)

np.warnings.filterwarnings('ignore', category=np.VisibleDeprecationWarning) df_sexl=df['Sex'][df['Survived']==1] df_sex0=df['Sex'][df['Survived']==0] plt.hist([df_sexl,df_sex0],stacked=True,label=['Rescued','not saved']) plt.xticks([-1,0,1,2],[-1,'F','M',2]) plt.legend() plt.title('Sex_Survived')

df_classl=df['Pclass'][df['Survived']==1] df_class0=df['Pclass'][df['Survived']==0] plt.hist([df_classl,df_class0],stacked=True,label=['Rescued','not saved']) plt.xticks([1,2,3],['Upper','Middle','lower']) plt.legend() plt.title('Pclass_Survived')

df_Agel = df['Age'][df['Survived']==1] df_Age0 = df['Age'][df['Survived']==0] plt.hist([df_Agel,df_Age0],stacked=True,label=['Rescued','not saved']) plt.legend() plt.title('Age_Survived')

def age_duan(age):if age<=18:return 1elif age<=40:return 2else:return 3 df['Age']=df['Age'].apply(age_duan) df_sex1=df['Age'][df['Survived']==1] df_sex0=df['Age'][df['Survived']==0] plt.hist([df_sex1,df_sex0],stacked=True,label=['Rescued','not saved']) plt.xticks([1,2,3],['child','youth','elderly']) plt.legend() plt.title('Age_Survived')

group_all =df.groupby(['Sex','Pclass']).count()['PassengerId'] survives_passenger_df =df[df['Survived']==1] survives_passenger_group = survives_passenger_df.groupby(['Sex','Pclass']).count()['PassengerId'] survives_passenger_radio = survives_passenger_group/group_all survives_passenger_radio bar = survives_passenger_radio.plot.bar(title="性別和乘客等級共同對生還率的影響") for p in bar.patches:bar.text(p.get_x()*1.005,p.get_height()*1.005,'%.2f%%'%(p.get_height()*100))

def passenger_survived_ratio(data,cols):passenger_group = data.groupby(cols)[cols[0]].count()surived_info=df[cols][df['Survived']==1]surived_group = surived_info.groupby(cols)[cols[0]].count()return surived_group/passenger_groupdef print_bar(data,title=""):bar=data.plot.bar(title=title)for p in bar.patches:bar.text(p.get_x()*1.005,p.get_height()*1.005,'%.2f%%'%(p.get_height()*100)) print_bar(passenger_survived_ratio(df,['Age','Sex']))

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