在散點圖 plot 上繪制經緯度

Question

我想做一個散點 plot 的 latlong 點，它們靠近在一起（即在同一個城市）。

到目前為止，我已經寫過：

import plotly.express as px
import pandas as pd


filename = "short_rtv.pkl"
df = pd.read_pickle(filename)

fig = px.scatter(df, x="Long", y="Lat", hover_data=["Request"])
fig.write_html("plot.html")

但這給我帶來了一個看起來很奇怪的散點 plot：

而我希望得到更多類似的東西：

第二張圖像是使用 plotly 的圖形對象/地圖特征生成的； 但是，我不想要 map plot，我想要散點圖 plot。 有沒有可能實現？

Answer 1

• 已使用英國行政區域作為樣本數據
• 設置寬度和高度以防止x被拉伸很重要
• 從您的圖像看來， long和lat列是字符串而不是浮點數

dfso = pd.DataFrame({"areaName": ["Aberdeen City", "Aberdeenshire", "Antrim and Newtownabbey", "Ards and North Down", "Argyll and Bute", "Blaenau Gwent", "Bridgend", "Caerphilly", "Cardiff", "Carmarthenshire", "Ceredigion", "Derby", "Devon", "Dorset", "Dumfries and Galloway", "East Sussex", "Falkirk", "Fermanagh and Omagh", "Flintshire", "Halton", "Highland", "Isle of Anglesey", "Isle of Wight", "Kingston upon Hull, City of", "Lincolnshire", "Lisburn and Castlereagh", "Merthyr Tydfil", "Mid and East Antrim", "Monmouthshire", "Moray", "Na h-Eileanan Siar", "Neath Port Talbot", "Newport", "Norfolk", "North Lincolnshire", "Orkney Islands", "Peterborough", "Portsmouth", "Powys", "Rhondda Cynon Taf", "Scottish Borders", "Shetland Islands", "Shropshire", "Somerset", "Suffolk", "Swindon", "Thurrock", "Torbay", "Torfaen", "Vale of Glamorgan", "Walsall", "West Sussex", "Windsor and Maidenhead", "Wrexham", "Armagh City, Banbridge and Craigavon", "Barking and Dagenham", "Barnet", "Barnsley", "Belfast", "Bexley", "Cambridgeshire", "Causeway Coast and Glens", "Coventry", "Cumbria", "Darlington", "Derbyshire", "Doncaster", "Dudley", "East Riding of Yorkshire", "Essex", "Fife", "Gateshead", "Gwynedd", "Hampshire", "Harrow", "Havering", "Herefordshire, County of", "Hertfordshire", "Hillingdon", "Inverclyde", "Kent", "Leicestershire", "Medway", "Mid Ulster", "Middlesbrough", "Milton Keynes", "Newry, Mourne and Down", "North Somerset", "North Yorkshire", "Northamptonshire", "Nottinghamshire", "Oxfordshire", "Pembrokeshire", "Plymouth", "Redbridge", "Redcar and Cleveland", "Rotherham", "Rutland", "Sandwell", "Sheffield", "South Lanarkshire", "Southend-on-Sea", "Staffordshire", "Sunderland", "Surrey", "Wiltshire", "Worcestershire", "Bath and North East Somerset", "Birmingham", "Bournemouth, Christchurch and Poole", "Brent", "Brighton and Hove", "Bristol, City of", "Bromley", "Buckinghamshire", "Conwy", "Cornwall and Isles of Scilly", "County Durham", "Croydon", "Denbighshire", "Derry City and Strabane", "Ealing", "East Ayrshire", "East Dunbartonshire", "Enfield", "Gloucestershire", "Greenwich", "Hackney and City of London", "Haringey", "Hartlepool", "Hounslow", "Kingston upon Thames", "Lewisham", "Merton", "Newham", "North Lanarkshire", "Perth and Kinross", "Richmond upon Thames", "Slough", "Solihull", "South Ayrshire", "South Gloucestershire", "South Tyneside", "Southampton", "St. Helens", "Stockton-on-Tees", "Stoke-on-Trent", "Sutton", "Swansea", "Telford and Wrekin", "Wakefield", "Waltham Forest", "Warrington", "Warwickshire", "West Berkshire", "West Lothian", "Westminster", "Wirral", "Wolverhampton", "York", "Angus", "Bedford", "Blackburn with Darwen", "Blackpool", "Bolton", "Bracknell Forest", "Bradford", "Bury", "Calderdale", "Camden", "Central Bedfordshire", "Cheshire East", "Cheshire West and Chester", "City of Edinburgh", "Clackmannanshire", "Dundee City", "East Lothian", "East Renfrewshire", "Glasgow City", "Hammersmith and Fulham", "Islington", "Kensington and Chelsea", "Kirklees", "Knowsley", "Lambeth", "Lancashire", "Leeds", "Leicester", "Liverpool", "Luton", "Manchester", "Midlothian", "Newcastle upon Tyne", "North Ayrshire", "North East Lincolnshire", "North Tyneside", "Northumberland", "Nottingham", "Oldham", "Reading", "Renfrewshire", "Rochdale", "Salford", "Sefton", "Southwark", "Stirling", "Stockport", "Tameside", "Tower Hamlets", "Trafford", "Wandsworth", "West Dunbartonshire", "Wigan", "Wokingham"], 
                     "long": [-2.20398, -2.79208, -6.1776, -5.64568, -5.22114, -3.18592, -3.61375, -3.19753, -3.22209, -4.2111, -3.94993, -1.47189, -3.65698, -2.41467, -4.02863, 0.334559, -3.83619, -7.5271, -3.18248, -2.68853, -4.66103, -4.32298, -1.33366, -0.30382, -0.23884, -6.03545, -3.36425, -6.14645, -2.9028, -3.20202, -6.65722, -3.74638, -2.89769, 0.964714, -0.52407, -2.90025, -0.26874, -1.07006, -3.43531, -3.41359, -2.85869, -1.37344, -2.73667, -3.29595, 1.04919, -1.73367, 0.334861, -3.55523, -3.05101, -3.39801, -1.97044, -0.45933, -0.67541, -2.99203, -6.43455, 0.129479, -0.21819, -1.54925, -5.92535, 0.146212, -0.23506, -6.5996, -1.51908, -2.90213, -1.56835, -1.6021, -1.10894, -2.10171, -0.66195, 0.54106, -2.98251, -1.6868, -3.77715, -1.24735, -0.33598, 0.235368, -2.73931, -0.27699, -0.44182, -4.75387, 0.72137, -1.3779, 0.563174, -6.8889, -1.21099, -0.7407, -6.08891, -2.75438, -1.55032, -0.86668, -1.00656, -1.29146, -4.90818, -4.11297, 0.070085, -1.00608, -1.28651, -0.6263, -2.00771, -1.54254, -3.83272, 0.706923, -2.02756, -1.43344, -0.33911, -1.92661, -2.20935, -2.48654, -1.88141, -1.84807, -0.27568, -0.15079, -2.57742, 0.039246, -0.80569, -3.74646, -4.64254, -1.8405, -0.07761, -3.34761, -7.42064, -0.3141, -4.29057, -4.22417, -0.08144, -2.15235, 0.050093, -0.06045, -0.1067, -1.27018, -0.37855, -0.28367, -0.01734, -0.18868, 0.027261, -3.9514, -3.88484, -0.28914, -0.57617, -1.71558, -4.72899, -2.46922, -1.44679, -1.39952, -2.7031, -1.30664, -2.15888, -0.17226, -3.96723, -2.48941, -1.42092, -0.0188, -2.56167, -1.56874, -1.27364, -3.60909, -0.15295, -3.06701, -2.12746, -1.07375, -2.8921, -0.45463, -2.4636, -3.02199, -2.47952, -0.73363, -1.87389, -2.3088, -1.96182, -0.16291, -0.47754, -2.29299, -2.70298, -3.27826, -3.75316, -2.97095, -2.72435, -4.3606, -4.21479, -0.21735, -0.10989, -0.18977, -1.78085, -2.83297, -0.11385, -2.46091, -1.50736, -1.1304, -2.91364, -0.42319, -2.23359, -3.11738, -1.65297, -4.7246, -0.13911, -1.50923, -2.07523, -1.16667, -2.05274, -0.99071, -4.56834, -2.14784, -2.38485, -2.99177, -0.07308, -4.32595, -2.12467, -2.077, -0.03647, -2.36572, -0.20021, -4.52074, -2.57247, -0.89935], 
                     "lat": [57.166969, 57.234692, 54.693859, 54.564091, 56.28944, 51.753639, 51.5606, 51.650009, 51.502541, 51.894951, 52.297951, 52.914639, 50.725578, 50.79697, 55.09621, 50.938049, 56.000751, 54.385208, 53.21471, 53.33424, 57.586571, 53.279308, 50.671291, 53.769199, 53.111019, 54.49752, 51.748581, 54.86462, 51.778271, 57.476799, 58.199379, 51.644501, 51.58231, 52.67123, 53.58643, 58.94334, 52.59214, 50.807999, 52.34864, 51.621849, 55.525951, 60.504951, 52.62212, 51.071819, 52.253849, 51.577629, 51.509979, 50.470921, 51.69836, 51.44836, 52.60503, 50.95134, 51.480339, 53.001671, 54.3867, 51.545551, 51.611069, 53.525768, 54.59853, 51.458221, 52.349659, 55.039619, 52.41423, 54.636379, 54.535339, 53.078579, 53.52697, 52.495129, 53.881119, 51.809818, 56.231121, 54.931198, 52.89883, 51.044739, 51.594669, 51.565189, 52.081539, 51.808788, 51.53664, 55.900299, 51.192951, 52.68779, 51.44772, 54.552731, 54.54467, 52.072411, 54.149529, 51.39706, 54.093712, 52.31105, 53.128502, 51.771549, 51.855129, 50.404942, 51.58588, 54.56752, 53.395531, 52.667648, 52.514771, 53.40358, 55.60453, 51.549171, 52.909302, 54.857189, 51.268028, 51.328831, 52.212872, 51.356041, 52.484039, 50.74609, 51.564381, 50.8465, 51.471149, 51.372662, 51.769661, 53.147388, 50.450218, 54.685131, 51.365971, 53.088329, 54.80904, 51.524422, 55.496738, 55.95829, 51.648891, 51.81971, 51.46394, 51.55492, 51.587711, 54.67614, 51.462379, 51.39296, 51.442299, 51.41058, 51.53149, 55.868141, 56.575279, 51.44035, 51.503502, 52.431, 55.23008, 51.54673, 54.969879, 50.9212, 53.458618, 54.556911, 53.017071, 51.357552, 51.658058, 52.714169, 53.659222, 51.594608, 53.391628, 52.179771, 51.445591, 55.8992, 51.512211, 53.374779, 52.597881, 53.96582, 56.725182, 52.196281, 53.700802, 53.82164, 53.584492, 51.411301, 53.843819, 53.593102, 53.720482, 51.543049, 51.999031, 53.167931, 53.163361, 55.911201, 56.147839, 56.4776, 55.94207, 55.74868, 55.876492, 51.487331, 51.54546, 51.496479, 53.64233, 53.437881, 51.464451, 53.86216, 53.822731, 52.635921, 53.408298, 51.891022, 53.470089, 55.82111, 55.021011, 55.72789, 53.52327, 55.028961, 55.300369, 52.954189, 53.557678, 51.453018, 55.848621, 53.60741, 53.479271, 53.482101, 51.465939, 56.249531, 53.391159, 53.478668, 51.515541, 53.41671, 51.4524, 56.0014, 53.51445, 51.422958]})

px.scatter(dfso, x="long", y="lat", hover_name="areaName", width=400, height=400)