python替換某一列中的值

import pandas as pd

data = pd.read_csv("C:/Users/admin/Desktop/beikezhaofang.csv")

data.head()

	price	unitprice	region	build_year	house_type	house_Size	elevator	floor_type
0	280.0	51150.9	dongcheng	1990	2室1廳	54.74	0	地下室
1	395.0	68839.3	dongcheng	1981	2室1廳	57.38	0	中樓層
2	450.0	58631.9	dongcheng	2010	1室0廳	76.75	1	中樓層
3	467.0	67446.6	dongcheng	2005	1室1廳	69.24	1	高樓層
4	1050.0	105189.0	dongcheng	2006	2室1廳	99.82	1	高樓層

data["region"].value_counts()

xicheng            1499
chaoyang           1498
shijingshan        1494
fengtai            1489
dongcheng          1488
changping          1486
haidian            1486
tongzhou           1485
daxing             1478
shunyi             1467
fangshan           1444
mentougou          1143
yizhuangkaifaqu    1052
pinggu               48
miyun                28
huairou              16
yanqing               7
Name: region, dtype: int64

data.loc[data["region"] == "xicheng","region"] = "西城"
data.loc[data["region"] == "chaoyang","region"] = "朝陽"
data.loc[data["region"] == "shijingshan","region"] = "石景山"
data.loc[data["region"] == "fengtai","region"] = "豐臺"
data.loc[data["region"] == "dongcheng","region"] = "東城"
data.loc[data["region"] == "haidian","region"] = "海淀"
data.loc[data["region"] == "changping","region"] = "昌平"
data.loc[data["region"] == "tongzhou","region"] = "通州"
data.loc[data["region"] == "daxing","region"] = "大興"
data.loc[data["region"] == "shunyi","region"] = "順義"
data.loc[data["region"] == "fangshan","region"] = "房山"
data.loc[data["region"] == "mentougou","region"] = "門頭溝"
data.loc[data["region"] == "yizhuangkaifaqu","region"] = "亦莊"
data.loc[data["region"] == "pinggu","region"] = "平谷"
data.loc[data["region"] == "miyun","region"] = "順義"
data.loc[data["region"] == "huairou","region"] = "懷柔"
data.loc[data["region"] == "yanqing","region"] = "延慶"

data["region"].value_counts()

西城     1499
朝陽     1498
順義     1495
石景山    1494
豐臺     1489
東城     1488
昌平     1486
海淀     1486
通州     1485
大興     1478
房山     1444
門頭溝    1143
亦莊     1052
平谷       48
懷柔       16
延慶        7
Name: region, dtype: int64

data.to_csv('data1.csv', index=False)

data.head()

	price	unitprice	region	build_year	house_type	house_Size	elevator	floor_type
0	280.0	51150.9	東城	1990	2室1廳	54.74	0	地下室
1	395.0	68839.3	東城	1981	2室1廳	57.38	0	中樓層
2	450.0	58631.9	東城	2010	1室0廳	76.75	1	中樓層
3	467.0	67446.6	東城	2005	1室1廳	69.24	1	高樓層
4	1050.0	105189.0	東城	2006	2室1廳	99.82	1	高樓層