python替换某一列中的值

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厅	54.74	0	地下室
1	395.0	68839.3	dongcheng	1981	2室1厅	57.38	0	中楼层
2	450.0	58631.9	dongcheng	2010	1室0厅	76.75	1	中楼层
3	467.0	67446.6	dongcheng	2005	1室1厅	69.24	1	高楼层
4	1050.0	105189.0	dongcheng	2006	2室1厅	99.82	1	高楼层

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"] = "朝阳"
data.loc[data["region"] == "shijingshan","region"] = "石景山"
data.loc[data["region"] == "fengtai","region"] = "丰台"
data.loc[data["region"] == "dongcheng","region"] = "东城"
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"] = "大兴"
data.loc[data["region"] == "shunyi","region"] = "顺义"
data.loc[data["region"] == "fangshan","region"] = "房山"
data.loc[data["region"] == "mentougou","region"] = "门头沟"
data.loc[data["region"] == "yizhuangkaifaqu","region"] = "亦庄"
data.loc[data["region"] == "pinggu","region"] = "平谷"
data.loc[data["region"] == "miyun","region"] = "顺义"
data.loc[data["region"] == "huairou","region"] = "怀柔"
data.loc[data["region"] == "yanqing","region"] = "延庆"

data["region"].value_counts()

西城     1499
朝阳     1498
顺义     1495
石景山    1494
丰台     1489
东城     1488
昌平     1486
海淀     1486
通州     1485
大兴     1478
房山     1444
门头沟    1143
亦庄     1052
平谷       48
怀柔       16
延庆        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	东城	1990	2室1厅	54.74	0	地下室
1	395.0	68839.3	东城	1981	2室1厅	57.38	0	中楼层
2	450.0	58631.9	东城	2010	1室0厅	76.75	1	中楼层
3	467.0	67446.6	东城	2005	1室1厅	69.24	1	高楼层
4	1050.0	105189.0	东城	2006	2室1厅	99.82	1	高楼层