如何在python中舍入這兩列？

Question

所以我搜索了堆棧溢出並嘗試了不同的解決方案，但我無法舍入這些值。

這是代碼

# Importing libraries
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd

# Importing dataset
dataset = pd.read_csv('/Users/What my username is/Documents/Coding/data/Data.csv')
x = dataset.iloc[:, :-1].values
y = dataset.iloc[:, -1].values


# Taking care of missing data
from sklearn.impute import SimpleImputer
imputer = SimpleImputer(missing_values=np.nan, strategy='mean')
imputer.fit(x[:, 1:3])
x[:, 1:3] = imputer.transform(x[:, 1:3])
print(x)

我得到的結果是

[['France' 44.0 72000.0]
 ['Spain' 27.0 48000.0]
 ['Germany' 30.0 54000.0]
 ['Spain' 38.0 61000.0]
 ['Germany' 40.0 63777.77777777778]
 ['France' 35.0 58000.0]
 ['Spain' 38.77777777777778 52000.0]
 ['France' 48.0 79000.0]
 ['Germany' 50.0 83000.0]
 ['France' 37.0 67000.0]]

我將如何舍入這些值？ 我不能只用數字對兩行進行四舍五入嗎？

我忘了添加，但這就是 Data.csv 是什么

[['France' 44.0 72000.0]
 ['Spain' 27.0 48000.0]
 ['Germany' 30.0 54000.0]
 ['Spain' 38.0 61000.0]
 ['Germany' 40.0 nan]
 ['France' 35.0 58000.0]
 ['Spain' nan 52000.0]
 ['France' 48.0 79000.0]
 ['Germany' 50.0 83000.0]
 ['France' 37.0 67000.0]]

Answer 1

在抓取值之前首先將值作為數據框舍入

df = pd.DataFrame({'country':['France', 'Spain','Germany'],
                    'values': [40.332,67.3242,560.2334]})
df['values'].round()

結果

0     40.0
1     67.0
2    560.0

Answer 2

我不明白您在示例中獲得的列表。 我將展示一個幾乎沒有變化的示例（添加昏迷）：

lst =  [['France', 44.0, 72000.0],
['Spain', 27.0, 48000.0],
['Germany', 30.0, 54000.0],
['Spain', 38.0, 61000.0],
['Germany', 40.0, 0],
['France', 35.0, 58000.0],
['Spain', 0, 52000.0],
['France', 48.0, 79000.0],
['Germany', 50.0, 83000.0],
['France', 37.0, 67000.0]]

df = pd.DataFrame(lst)
print(df)
        0     1        2
0   France  44.0  72000.0
1    Spain  27.0  48000.0
2  Germany  30.0  54000.0
3    Spain  38.0  61000.0
4  Germany  40.0      0
5   France  35.0  58000.0
6    Spain   0  52000.0
7   France  48.0  79000.0
8  Germany  50.0  83000.0
9   France  37.0  67000.0

df[1] = df[1].astype(int)
df[2] = df[2].astype(int)