Question

这是我的代码：

def boba_recs(lat, lng):
    f1 = pd.read_csv("./boba_final.csv") 
    user_loc = Point(lng, lat) # converts user lat/long to point object
    # makes dataframe of distances between each boba place and the user loc
    f1['Distance'] = [user_loc.distance(Point(xy)) for xy in zip(f1.Longitude, f1.Lat)]
    # grabs the three smallest distances
    boba = f1.nsmallest(3, 'Distance').set_index('Name') # sets index to name
    return(": " + boba['Address'])

返回：

Name
Coco Bubble Tea            : 129 E 45th St New York, NY 10017
Gong Cha                   : 75 W 38th St, New York, NY 10018
Smoocha Tea & Juice Bar      : 315 5th Ave New York, NY 10016
Name: Address, dtype: object

几乎完美，除了我想摆脱＆＃34;名称：地址，dtype：object＆＃34;行。我已经尝试了一些东西，它只是在没有弄乱其他一切的格式的情况下不会消失。

Answer 1

这不是一排。它是您正在打印的数据的描述。尝试仅打印.values，您会看到。

[Coco Bubble Tea            : 129 E 45th St New York, NY 10017
Gong Cha                   : 75 W 38th St, New York, NY 10018
Smoocha Tea & Juice Bar      : 315 5th Ave New York, NY 10016]

更新根据您的评论：

print(pd.DataFrame(your_series))
Name
Coco Bubble Tea            : 129 E 45th St New York, NY 10017
Gong Cha                   : 75 W 38th St, New York, NY 10018
Smoocha Tea & Juice Bar      : 315 5th Ave New York, NY 10016

Answer 2

'Address'是pd.Series的名称，'Name'是索引的名称

尝试：

s.rename_axis(None).rename(None)

Coco Bubble Tea            : 129 E 45th St New York, NY 10017
Gong Cha                   : 75 W 38th St, New York, NY 10018
Smoocha Tea & Juice Bar      : 315 5th Ave New York, NY 10016
dtype: object

或者我重写了你的功能

def boba_recs(lat, lng):
    f1 = pd.read_csv("./boba_final.csv") 
    user_loc = Point(lng, lat) # converts user lat/long to point object
    # makes dataframe of distances between each boba place and the user loc
    f1['Distance'] = [user_loc.distance(Point(xy)) for xy in zip(f1.Longitude, f1.Lat)]
    # grabs the three smallest distances
    boba = f1.nsmallest(3, 'Distance').set_index('Name') # sets index to name
    return(": " + boba['Address']).rename_axis(None).rename(None)

如果你想要一个字符串

def boba_recs(lat, lng):
    f1 = pd.read_csv("./boba_final.csv") 
    user_loc = Point(lng, lat) # converts user lat/long to point object
    # makes dataframe of distances between each boba place and the user loc
    f1['Distance'] = [user_loc.distance(Point(xy)) for xy in zip(f1.Longitude, f1.Lat)]
    # grabs the three smallest distances
    boba = f1.nsmallest(3, 'Distance').set_index('Name') # sets index to name
    temp = (": " + boba['Address']).rename_axis(None).__repr__()
    return temp.rsplit('\n', 1)[0]

在pandas DataFrame print中删除`dtype：object`

2 个答案: