预测泰坦尼克号的生存

Question

我正在Codacademy的Predict Titanic Survival项目中工作，我正在尝试更新CSV文件的列，将“性别”列的形式从male / female更改为0/1，但出现错误。有人可以帮忙！

Traceback (most recent call last): File "script.py", line 13, in <module> passengers['Sex']=passengers(['Sex']).map({'female': 1, 'male': 0}) TypeError: 'DataFrame' object is not callable

代码：

import codecademylib3_seaborn
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from sklearn.linear_model import LogisticRegression
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScaler

# Load the passenger data
passengers = pd.read_csv('passengers.csv')
print (passengers)
# Update sex column to numerical
passengers['Sex']=passengers(['Sex']).map({'female': 1, 'male': 0})
print (passengers.head(1))

请帮助！

Answer 1

正如@Uzay Macar在评论中提到的那样，如果您删除了括号，它会很好地工作，但这是完成该任务的好方法。

train["Sex"][train["Sex"] == "male"] = 0
train["Sex"][train["Sex"] == "female"] = 1

或

data.loc[data["Sex"] == "male", "Sex"] = 0
data.loc[data["Sex"] == "female", "Sex"] = 1

Answer 2

您也可以尝试从sklearn进行编码