我得到了一个如下所示的数据框：
df
X Y latitude longitude fatalCount
0 1503534.0 5139947.0 -43.88726825747297 171.799068750087 1.0
1 1764742.0 5904564.0 -36.99064294510119 174.8512150432065 1.0
2 1542243.0 5213465.0 -43.22939701404248 172.2887472425986 1.0
3 1860093.0 5833141.0 -37.612072948808446 175.9466347043758 2.0
4 1798807.0 5793607.0 -37.9834182448396 175.2637316434398 1.0
5 1726799.0 6004259.0 -36.09803980570151 174.4085845792706 1.0
6 1794340.0 5771500.0 -38.18348193499358 175.21891516853705 1.0
7 1243202.0 4849165.0 -46.41673674898034 168.35690247176157 1.0
8 1822968.0 5801012.0 -37.91112821883501 175.53631325112292 1.0
9 1892448.0 5691253.0 -38.87894656878461 176.3711653468306 1.0
10 1760429.0 5924162.0 -36.81480856118331 174.79862103329845 1.0
11 1679714.0 5409964.0 -41.457954573841704 173.95446190059664 1.0
12 1759179.0 5908015.0 -36.9605074947817 174.78800368639327 1.0
13 1828460.0 5796852.0 -37.94722121035748 175.60004721377882 2.0
14 1754795.0 5443772.0 -41.142610316535745 174.84451098260428 2.0
15 1459213.0 5081572.0 -44.40545774213868 171.23190529147456 1.0
16 1867395.0 5722762.0 -38.60338329677566 176.07059703376774 1.0
17 1553164.0 5165563.0 -43.661460147515065 172.41911461715523 1.0
18 1706038.1979 5618736.8671 -39.57452359574808 174.23460457225036 1.0
19 1748356.0 5421629.0 -41.34317868551458 174.77320337955717 1.0
20 1622467.0 5431852.0 -41.26444207842392 173.2682161218783 1.0
21 1758173.0 5913433.0 -36.91185991177028 174.7755753751171 1.0
22 1789791.0 5738240.0 -38.48398790796658 175.1759545393346 1.0
23 1767748.0 5907076.0 -36.9674794106989 174.88441878643926 1.0
24 1661992.0 5430378.0 -41.27565244573732 173.74019875181446 1.0
25 1916267.0 5605058.0 -39.64580982458846 176.68565778764048 1.0
26 1417275.0 4966625.0 -45.430008628001865 170.66405751534867 1.0
27 1983586.0 5681318.0 -38.93320195447651 177.42473093387974 1.0
28 1840655.0 5747098.0 -38.391971841084185 175.7555160410278 1.0
29 2021826.0 5736100.0 -38.42375227922534 177.8311695031855 1.0
30 1799736.0 5814510.0 -37.79496243012501 175.26851585066143 2.0
31 1865934.0 5718161.0 -38.64522700669454 176.05560021813682 2.0
32 1613950.0 6140902.0 -34.8741540806934 173.15264054942278 1.0
33 1843174.0 5799831.0 -37.916584609459264 175.7663234418511 2.0
34 1532622.0 5375776.0 -41.76699527808288 172.18938275507796 1.0
35 1798477.0 5827342.0 -37.67966772863651 175.25072353692948 1.0
36 1868980.0 5814390.0 -37.778286613522226 176.0541095739344 1.0
37 1768933.0727 5905981.261 -36.97713048081313 174.89796981009383 1.0
38 1548990.0 5376269.0 -41.76377565466534 172.3863340271788 1.0
39 1774164.0 5889115.0 -37.12812589837596 174.96061523391637 1.0
40 1565562.1971 5180032.0396 -43.53186036145711 172.57379929878115 1.0
41 1765499.0 5899156.0 -37.03923415360077 174.86090551328434 1.0
42 1766681.0 5913316.0 -36.91144848984498 174.87106281144153 1.0
43 1900922.0 5697679.0 -38.81828510414489 176.4658751028789 1.0
44 1976551.0 5784803.0 -38.00627399451797 177.28825610959882 1.0
45 1846434.0 5780998.0 -38.08524316056153 175.80983487110828 1.0
46 1435425.4808 5271145.2939 -42.69456481896697 170.99084472622783 1.0
47 1249642.7238 4839480.0776 -46.506989053480574 168.43316993338064 1.0
48 1730631.0 6025373.0 -35.907230399190816 174.44765810191583 2.0
49 1739857.0 5977091.0 -36.341092678712904 174.55844744998626 1.0
50 1839873.0 5822410.0 -37.71418311093242 175.7213330848903 1.0
51 1784184.0 5419280.0 -41.35693027368171 175.2018712610867 1.0
52 1766331.0 5903435.0 -37.00053505927772 174.86931116020153 1.0
53 1764258.0 5446391.0 -41.11717176128145 174.95650855436767 1.0
54 1259178.0 4859008.0 -46.33666123273454 168.5713144324363 3.0
55 1863346.0 5829293.0 -37.645783989411086 175.98482902677682 1.0
56 1881466.0 5822287.0 -37.7034613506908 176.19262595301257 1.0
57 1618173.0 5254762.0 -42.85951171750083 173.22245256516067 2.0
58 1904840.0 5569349.0 -39.97107584609767 176.5693271704356 1.0
59 1894802.0 5812166.0 -37.790338284534506 176.34776723752393 1.0
60 1867392.0 5699963.0 -38.80854794794436 176.0793582545551 1.0
61 1819965.0 5528859.0 -40.36184270729439 175.5905006665165 1.0
62 1830701.0 5867373.0 -37.31167951954221 175.6032688099651 1.0
63 1891751.0 5740906.0 -38.43247855260845 176.3422968595223 1.0
64 1684674.0 5671139.0 -39.10478292004359 173.97928912141526 1.0
65 1587656.0 5155658.0 -43.752017566415944 172.8466722705344 1.0
66 1753630.9802 5928072.4908 -36.78070068400819 174.7216491695066 1.0
67 1769697.0 5908893.0 -36.95075972258749 174.90589399972288 1.0
68 2011176.0919 5731456.2707 -38.47042164964069 177.71230046675936 1.0
69 1856469.0 5448186.0 -41.077155600646705 176.05287967647683 1.0
70 1310897.0 5031323.0 -44.81294533015564 169.34378799663938 1.0
71 1823632.0 5534463.0 -40.31043307508165 175.63168209518395 1.0
72 1646941.0 5439153.0 -41.19762736445472 173.55982108423137 1.0
73 1885154.0 5785326.0 -38.03492056491163 176.2489848735938 1.0
74 1769496.0 5911396.0 -36.928245060646326 174.90307660123645 1.0
75 1456085.1185 5088892.4866 -44.338970077754375 171.19466795787898 1.0
76 1728611.0 5933891.0 -36.73199199394347 174.44037283489598 3.0
77 1790526.2928 5754381.1451 -38.338468482715776 175.180005160309 1.0
78 1770162.0 5904672.0 -36.9887046743832 174.9120651556891 1.0
79 1791954.0 5506647.0 -40.568713077899936 175.26759841729393 2.0
80 1533508.0 5166348.0 -43.65289403718397 172.175448210714 1.0
81 1757719.0 5453431.0 -41.0550850143598 174.87685714077446 3.0
82 1817532.0 5543707.0 -40.22884379961872 175.556829528313 1.0
83 1771669.0 5582107.0 -39.893737984911404 175.007941812609 2.0
84 1882155.0 5778806.0 -38.094530158771214 176.2174357856561 1.0
85 1893059.0 5756884.0 -38.288298416963954 176.35061736006966 1.0
86 1449963.0 5022489.0 -44.93520190467315 171.0984900578634 2.0
87 1751036.0 5878022.0 -37.23209551717405 174.70261162183536 2.0
88 1850617.0 5770093.0 -38.18225429477815 175.86130807332546 1.0
89 1680268.0 5401059.0 -41.53809943404359 173.96228086675978 1.0
90 1571527.4521 5192486.6287 -43.41996850322854 172.64827455097452 2.0
91 1775183.0 5474643.0 -40.860556076447 175.0785530222735 1.0
92 1611965.0 5422993.0 -41.34446539697195 173.14301565964269 1.0
93 1346068.0 4878766.0 -46.19728367014297 169.70880379946 1.0
94 1778854.0 5480900.0 -40.80343567655933 175.1202854647554 1.0
95 1821551.0 5840298.0 -37.557719348394066 175.50823883042204 1.0
96 1768107.0 5903287.0 -37.00155250096148 174.88929392055198 1.0
97 1574839.0 5208666.0 -43.27440131704302 172.6899244019661 1.0
98 1359192.0 4889525.0 -46.10536340000654 169.88410685077886 1.0
99 1787498.5015 5838947.2047 -37.577446534164544 175.12333129431485 1.0
数据总长度为758757。由于篇幅问题，我只展示了100条记录。我想使用 folium Python 将 fatalcount 显示为地图上的标记。我使用以下代码来绘制标记。
import folium
import pandas as pd
nz_map = folium.Map(location=[-40.9006,174.8860], zoom_start=6)
for lat, lng, label in zip(df.latitude, df.longitude, df.fatalCount.astype(str)):
if label!='0':
print(lat)
folium.features.CircleMarker(
[lat, lng],
radius=3,
color='red',
fill=True,
popup=label,
fill_color='darkred',
fill_opacity=0.6
).add_to(nz_map)
nz_map
问题是当我运行代码时它没有完成它的执行。我让程序运行了大约 2 个小时，但仍然没有完成。我在平台上搜索了同样的问题，发现线程folium draw circle not drawing。我跟随线程并根据线程中的解决方案进行了更改。现在我的代码如下所示：
nz_map = folium.Map(location=[-40.9006,174.8860], zoom_start=6)
for index, row in df.iterrows(): #zip(df.latitude, df.longitude, df.fatalCount.astype(str)):
if row['fatalCount']!='0':
print(index)
folium.Circle(
[row['latitude'], row['longitude']],
radius=300,
color='red',
fill=True,
popup=row['fatalCount'],
fill_color='darkred',
fill_opacity=0.6
).add_to(nz_map)
nz_map
然而，以同样的结果结束。
在folium的地图中显示标记有任何限制吗？有没有人有解决这个问题的建议？