Question

我正在为巴尔的摩的社区获取经度和纬度，并且有一个工作的for循环，其中列出了具有经度和纬度的社区名称，但需要将输出放入数据框。

# Gets a list from excel spreadsheet
def readcolumn(filename,column):
    #select sheet name and selct column as index,index_col=0
    df = pd.read_excel(filename)
    headername = list(df)
    print(headername)
    column_data =df[list(df)[column]].tolist()
    return  column_data

# Converts the neighborhood column in the spreadsheet to a list
neigh_list = readcolumn('BaltimoreNeighborhoods.xlsx', 2)

# Outputs the neighborhood, lat, and long
for neigh in neigh_list:
    try:
        geolocator = Nominatim(user_agent="bmore_explorer")
        location = geolocator.geocode(neigh)
        latitude = location.latitude
        longitude = location.longitude
        print(neigh, latitude, longitude)
    except Exception as e:
        print('Error, skipping address...', e)

输出看起来像这样：

Arlington, MD 39.3486919 -76.6826661
Ashburton, MD 39.3279621 -76.6710811
Callaway-Garrison, MD 39.3321612 -76.6794359
Central Park Heights, MD 39.3444594 -76.6712351

我想将此列表转换为df。

Answer 1

一种选择是构建矩阵，然后将其转换为pandas DataFrame。

Optional.ifPresent()

顺便说一句，pandas还具有read straight from an excel sheet的功能，可以简化您的readcolumn函数

Answer 2

附加行解决了该问题。可能不是最合乎逻辑的方法，但它确实有效。

# Prints out the neighborhood list with the latitude and longitude
df = []
for neigh in neigh_list:
    try:
        geolocator = Nominatim(user_agent="bmore_explorer")
        location = geolocator.geocode(neigh)
        latitude = location.latitude
        longitude = location.longitude
        print(neigh, latitude, longitude)
        df.append({'location':location,
                  'latitude': latitude,
                  'longitude': longitude})
    except Exception as e:
        print('Error, skipping address...', e)

df = pd.DataFrame(df, columns=['Location', 'Latitude', ;Longitude'])

我可以将for循环的输出转换为数据帧中的列吗？

2 个答案: