質問編集履歴
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import pandas as pd
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import numpy as np
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#train.csvはタイタニック提供のデータをそのまま利用しています。
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titanic_train=pd.read_csv("train.csv")
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only_train_honorific=["Capt","Don","Jonkheer","Lady","Major","Mlle","Mme","Sir","the Countess"]
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train_omit1=titanic_train[~titanic_train["honorific"].isin(only_train_honorific)].reset_index(drop=True)
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print(train_omit1)
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### 追記
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```Python3
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import pandas as pd
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#train.csvはタイタニック提供のデータをそのまま利用しています。
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titanic_train=pd.read_csv("train.csv")
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only_train_honorific=["Capt","Don","Jonkheer","Lady","Major","Mlle","Mme","Sir","the Countess",]
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titanic_train["honorific"]=titanic_train["Name"].map(lambda x: x.split(",")[1].split(".")[0])
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train_omit1=titanic_train[~titanic_train["honorific"].isin(only_train_honorific)].reset_index(drop=True)
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print(titanic_train["honorific"].value_counts())
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print(train_omit1["honorific"].value_counts())
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```
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```Python3
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#print結果
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Mr 517
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Miss 182
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Mrs 125
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import pandas as pd
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import numpy as np
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#train.csvはタイタニック提供のデータをそのまま利用しています。
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titanic_train=pd.read_csv("train.csv")
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only_train_honorific=["Capt","Don","Jonkheer","Lady","Major","Mlle","Mme","Sir","the Countess"]
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train_omit1=titanic_train[~titanic_train["honorific"].isin(only_train_honorific)].reset_index(drop=True)
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print(train_omit1)
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```
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### 追記
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```Python3
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only_train_honorific=["Capt","Don","Jonkheer","Lady","Major","Mlle","Mme","Sir","the Countess",]
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titanic_train["honorific"]=titanic_train["Name"].map(lambda x: x.split(",")[1].split(".")[0])
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train_omit1=titanic_train[~titanic_train["honorific"].isin(only_train_honorific)].reset_index(drop=True)
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print(titanic_train["honorific"].value_counts())
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print(train_omit1["honorific"].value_counts())
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```
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print結果
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```Python3
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69
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Mr 517
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Miss 182
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71
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Mrs 125
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Master 40
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Dr 7
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Rev 6
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Col 2
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Mlle 2
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Major 2
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Jonkheer 1
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Ms 1
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Don 1
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Sir 1
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Lady 1
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Capt 1
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the Countess 1
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Mme 1
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Name: honorific, dtype: int64
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Mr 517
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Miss 182
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Mrs 125
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Master 40
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Dr 7
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Rev 6
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Col 2
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Mlle 2
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Major 2
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Jonkheer 1
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Ms 1
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Don 1
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Sir 1
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Lady 1
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Capt 1
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the Countess 1
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Mme 1
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Name: honorific, dtype: int64
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```
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誤記載のため
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### 前提・実現したいこと
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MacでVSCode(Python3)を利用しています。
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isinを利用して、指定(下記only_train_honorific)項目
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isinを利用して、指定(下記only_train_honorific)項目以外を抽出したいのですが、全ての項目が入ったデータで抽出されてしまいます。(発生している問題・エラーメッセージの「honorific」項目参照)
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上記、、原因がお分かりの方が入れば、ご教示いただけますと幸いです。
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### 発生している問題・エラーメッセージ
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