[英]raise KeyError(key) from err
I am going to itterate over the taitanic dataset.我将遍历 taitanic 数据集。 Here is the code:
这是代码:
import numpy as np
import pandas as pd
!wget "https://calmcode.io/datasets/titanic.csv"
dt = pd.read_csv("./titanic.csv", index_col=["PassengerId"])
def impute_cabin_values(X):
for i in range(len(X)):
print(X["Pclass"][i])
impute_cabin_values(dt)
And then i face with the following error:然后我面临以下错误:
raise KeyError(key) from err
KeyError: 0
why should index 0
in the print(X["Pclass"][i])
not working?为什么
print(X["Pclass"][i])
中的索引0
不起作用?
It is because you set your dataframe index as PassengerId
on this part.这是因为您在此部分将 dataframe 索引设置为
PassengerId
。
dt = pd.read_csv("./titanic.csv", index_col=["PassengerId"])
You are indexing by nonexistent column PassengerId
and trying to fetch nonexistent column Pclass
instead of pclass
.您正在按不存在的列
PassengerId
进行索引,并尝试获取不存在的列Pclass
而不是pclass
。 Assuming this.假设这个。
import numpy as np
import pandas as pd
#!wget "https://calmcode.io/datasets/titanic.csv"
dt = pd.read_csv("./titanic.csv") #, index_col=["PassengerId"])
def impute_cabin_values(X):
for i in range(len(X)):
print(X["pclass"][i])
impute_cabin_values(dt)
Results:结果:
1
3
1
3
1
3
3
2
...
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