Is it possible to enlarge a StepColormap and center it within the top of a map?
Ninguém assumiu esta issue ainda.
Avaliação
- Dificuldade
- 3/5
- Tempo estimado
- 1-2 dias
- Facilidade para iniciantes
- 35/100
Direção de pesquisa
Comece com a função vinculada Mapping/choropleth_map_functions.py e o arquivo gerado Mapping/maps/net_migration_rate_state_2020-2023.html e, em seguida, inspecione onde a StepColormap é criada e posicionada. Está concluído quando a colormap estiver visivelmente maior e centralizada na parte superior do mapa, seja por meio da função Python ou do HTML gerado.
Escrita pelo modelo de indexação a partir do texto da issue.
Descrição
I have an existing set of code that adds a StepColormap to a Folium map. Here's what the current version of the map looks like:
However, I would now like to (1) increase the size of the colormap and (2) position it at the top center of the window. Is there a way to perform these updates within the original Python function that I used to create this map? If not, a solution that involves editing the HTML file would also be acceptable.
The map's underlying HTML code can be found here. I'm thinking that the answer might involve fiddling with the code near the end of the file that constructs the colormap:
var color_map_cefe66010de7a9e3859dee6c0ad79901 = {};
color_map_cefe66010de7a9e3859dee6c0ad79901.color = d3.scale.threshold()
.domain([-4.3691813613485975, -4.349058940421438, -4.3289365194942775, -4.308814098567118, -4.288691677639958, -4.268569256712799, -4.248446835785639, -4.228324414858479, -4.208201993931319, -4.18807957300416, -4.167957152076999, -4.14783473114984, -4.12771231022268, -4.107589889295521, -4.08746746836836, -4.067345047441201, -4.047222626514041, -4.027100205586882, -4.006977784659721, -3.9868553637325617, -3.966732942805402, -3.9466105218782426, -3.9264881009510826, -3.9063656800239226, -3.886243259096763, -3.8661208381696035, -3.8459984172424435, -3.8258759963152835, -3.805753575388124, -3.7856311544609644, -3.7655087335338044, -3.7453863126066445, -3.725263891679485, -3.705141470752325, -3.6850190498251654, -3.6648966288980054, -3.644774207970846, -3.6246517870436863, -3.6045293661165263, -3.5844069451893663, -3.5642845242622068, -3.5441621033350468, -3.5240396824078872, -3.5039172614807272, -3.4837948405535677, -3.463672419626408, -3.443549998699248, -3.423427577772088, -3.4033051568449286, -3.3831827359177686, -3.363060314990609, -3.342937894063449, -3.3228154731362896, -3.30269305220913, -3.28257063128197, -3.26244821035481, -3.2423257894276505, -3.222203368500491, -3.202080947573331, -3.181958526646171, -3.1618361057190114, -3.1417136847918514, -3.121591263864692, -3.101468842937532, -3.0813464220103723, -3.061224001083213, -3.0411015801560524, -3.020979159228893, -3.0008567383017333, -2.9807343173745737, -2.9606118964474137, -2.9404894755202537, -2.920367054593094, -2.9002446336659347, -2.8801222127387747, -2.8599997918116147, -2.839877370884455, -2.819754949957295, -2.7996325290301356, -2.7795101081029756, -2.759387687175816, -2.7392652662486565, -2.719142845321496, -2.6990204243943365, -2.678898003467177, -2.6587755825400174, -2.6386531616128575, -2.6185307406856975, -2.598408319758538, -2.5782858988313784, -2.5581634779042184, -2.5380410569770584, -2.517918636049899, -2.497796215122739, -2.4776737941955793, -2.4575513732684193, -2.43742895234126, -2.4173065314141002, -2.39718411048694, -2.3770616895597803, -2.3569392686326207, -2.3368168477054607, -2.316694426778301, -2.2965720058511416, -2.2764495849239816, -2.256327163996822, -2.236204743069662, -2.216082322142502, -2.1959599012153426, -2.1758374802881826, -2.155715059361023, -2.135592638433863, -2.115470217506703, -2.095347796579544, -2.075225375652384, -2.0551029547252244, -2.0349805337980644, -2.0148581128709044, -1.994735691943745, -1.974613271016585, -1.9544908500894254, -1.9343684291622654, -1.9142460082351054, -1.8941235873079463, -1.8740011663807863, -1.8538787454536267, -1.8337563245264668, -1.8136339035993068, -1.7935114826721472, -1.7733890617449872, -1.7532666408178277, -1.7331442198906677, -1.7130217989635077, -1.6928993780363482, -1.6727769571091886, -1.652654536182029, -1.632532115254869, -1.6124096943277095, -1.5922872734005495, -1.5721648524733896, -1.55204243154623, -1.53192001061907, -1.5117975896919105, -1.4916751687647505, -1.471552747837591, -1.4514303269104314, -1.4313079059832714, -1.4111854850561119, -1.3910630641289519, -1.3709406432017919, -1.3508182222746323, -1.3306958013474723, -1.3105733804203128, -1.2904509594931528, -1.2703285385659928, -1.2502061176388337, -1.2300836967116737, -1.2099612757845142, -1.1898388548573542, -1.1697164339301942, -1.1495940130030347, -1.1294715920758747, -1.1093491711487151, -1.0892267502215551, -1.0691043292943951, -1.0489819083672356, -1.028859487440076, -1.0087370665129165, -0.9886146455857565, -0.9684922246585965, -0.948369803731437, -0.928247382804277, -0.9081249618771174, -0.8880025409499575, -0.8678801200227979, -0.8477576990956379, -0.8276352781684779, -0.8075128572413188, -0.7873904363141588, -0.7672680153869993, -0.7471455944598393, -0.7270231735326793, -0.7069007526055198, -0.6867783316783598, -0.6666559107512002, -0.6465334898240402, -0.6264110688968803, -0.6062886479697212, -0.5861662270425612, -0.5660438061154016, -0.5459213851882416, -0.5257989642610816, -0.5056765433339221, -0.4855541224067621, -0.46543170147960256, -0.44530928055244257, -0.4251868596252826, -0.40506443869812303, -0.3849420177709635, -0.3648195968438035, -0.34469717591664395, -0.3245747549894844, -0.30445233406232397, -0.2843299131351644, -0.2642074922080049, -0.24408507128084533, -0.2239626503536858, -0.20384022942652535, -0.1837178084993658, -0.16359538757220538, -0.14347296664504672, -0.12335054571788628, -0.10322812479072674, -0.0831057038635663, -0.06298328293640676, -0.0428608620092481, -0.022738441082087668, -0.0026160201549281226, 0.01750640077223231, 0.03762882169939186, 0.0577512426265514, 0.07787366355371095, 0.09799608448087138, 0.11811850540803093, 0.13824092633519136, 0.15836334726235002, 0.17848576818950956, 0.19860818911667, 0.21873061004382954, 0.23885303097098998, 0.25897545189814863, 0.27909787282530907, 0.2992202937524686, 0.31934271467962905, 0.3394651356067886, 0.35958755653394725, 0.3797099774611077, 0.39983239838826723, 0.41995481931542766, 0.4400772402425872, 0.46019966116974675, 0.4803220820969063, 0.5004445030240667, 0.5205669239512263, 0.5406893448783867, 0.5608117658055454, 0.5809341867327049, 0.6010566076598653, 0.6211790285870249, 0.6413014495141853, 0.661423870441344, 0.6815462913685044, 0.701668712295664, 0.7217911332228244, 0.741913554149984, 0.7620359750771435, 0.782158396004303, 0.8022808169314626, 0.822403237858623, 0.8425256587857826, 0.8626480797129421, 0.8827705006401017, 0.9028929215672621, 0.9230153424944216, 0.9431377634215821, 0.9632601843487407, 0.9833826052759012, 1.0035050262030607, 1.0236274471302202, 1.0437498680573798, 1.0638722889845393, 1.0839947099116998, 1.1041171308388593, 1.1242395517660198, 1.1443619726931784, 1.1644843936203388, 1.1846068145474984, 1.2047292354746588, 1.2248516564018184, 1.244974077328977, 1.2650964982561375, 1.285218919183297, 1.3053413401104574, 1.325463761037617, 1.3455861819647765, 1.365708602891936, 1.3858310238190965, 1.405953444746256, 1.4260758656734156, 1.4461982866005751, 1.4663207075277347, 1.4864431284548951, 1.5065655493820547, 1.526687970309215, 1.5468103912363738, 1.5669328121635342, 1.5870552330906937, 1.6071776540178542, 1.6273000749450137, 1.6474224958721724, 1.6675449167993328, 1.6876673377264924, 1.7077897586536528, 1.7279121795808123, 1.7480346005079719, 1.7681570214351314, 1.7882794423622919, 1.8084018632894514, 1.8285242842166118, 1.8486467051437705, 1.86876912607093, 1.8888915469980905, 1.90901396792525, 1.9291363888524105, 1.9492588097795691, 1.9693812307067295, 1.989503651633889, 2.0096260725610495, 2.029748493488209, 2.0498709144153686, 2.069993335342528, 2.0901157562696877, 2.110238177196848, 2.1303605981240077, 2.1504830190511672, 2.170605439978327, 2.190727860905487, 2.2108502818326468, 2.230972702759807, 2.251095123686966, 2.2712175446141263, 2.291339965541286, 2.3114623864684454, 2.331584807395606, 2.3517072283227645, 2.371829649249925, 2.3919520701770844, 2.412074491104245, 2.4321969120314044, 2.452319332958564, 2.4724417538857235, 2.492564174812884, 2.5126865957400435, 2.532809016667202, 2.5529314375943626, 2.573053858521522, 2.5931762794486826, 2.613298700375842, 2.6334211213030017, 2.653543542230161, 2.6736659631573216, 2.693788384084481, 2.7139108050116416, 2.7340332259388003, 2.75415564686596, 2.7742780677931203, 2.79440048872028, 2.8145229096474402, 2.834645330574599, 2.8547677515017593, 2.874890172428919, 2.8950125933560793, 2.915135014283239, 2.9352574352103975, 2.955379856137558, 2.9755022770647175, 2.995624697991878, 3.0157471189190375, 3.035869539846197, 3.0559919607733566, 3.076114381700517, 3.0962368026276765, 3.116359223554837, 3.1364816444819956, 3.156604065409155, 3.1767264863363156, 3.196848907263475, 3.2169713281906356, 3.2370937491177942, 3.2572161700449547, 3.277338590972114, 3.2974610118992747, 3.317583432826434, 3.3377058537535937, 3.3578282746807533, 3.377950695607913, 3.3980731165350733, 3.418195537462233, 3.4383179583893924, 3.458440379316552, 3.4785628002437123, 3.498685221170872, 3.5188076420980323, 3.538930063025191, 3.5590524839523514, 3.579174904879511, 3.5992973258066705, 3.619419746733831, 3.6395421676609905, 3.659664588588151, 3.6797870095153096, 3.69990943044247, 3.7200318513696287, 3.740154272296789, 3.7602766932239495, 3.780399114151108, 3.8005215350782686, 3.8206439560054273, 3.8407663769325877, 3.860888797859748, 3.881011218786907, 3.9011336397140672, 3.921256060641226, 3.941378481568388, 3.9615009024955468, 3.9816233234227054, 4.001745744349866, 4.0218681652770245, 4.041990586204187, 4.062113007131345, 4.082235428058504, 4.1023578489856645, 4.122480269912825, 4.142602690839985, 4.162725111767144, 4.182847532694303, 4.202969953621465, 4.2230923745486235, 4.243214795475784, 4.263337216402943, 4.283459637330101, 4.3035820582572635, 4.323704479184422, 4.343826900111583, 4.363949321038741, 4.384071741965902, 4.404194162893062, 4.424316583820221, 4.444439004747381, 4.46456142567454, 4.4846838466017, 4.504806267528861, 4.524928688456019, 4.54505110938318, 4.56517353031034, 4.585295951237499, 4.605418372164659, 4.625540793091818, 4.64566321401898, 4.665785634946139, 4.6859080558732975, 4.706030476800458, 4.726152897727617, 4.746275318654779, 4.7663977395819375, 4.786520160509096, 4.806642581436257, 4.826765002363417, 4.846887423290577, 4.867009844217736, 4.887132265144895, 4.907254686072055, 4.927377106999216, 4.947499527926376, 4.967621948853535, 4.987744369780693, 5.007866790707856, 5.027989211635014, 5.048111632562175, 5.068234053489333, 5.088356474416492, 5.108478895343654, 5.128601316270813, 5.148723737197973, 5.168846158125132, 5.188968579052292, 5.209090999979453, 5.2292134209066115, 5.249335841833772, 5.269458262760932, 5.289580683688091, 5.309703104615251, 5.32982552554241, 5.3499479464695705, 5.370070367396731, 5.39019278832389, 5.41031520925105, 5.430437630178209, 5.450560051105371, 5.4706824720325296, 5.490804892959688, 5.510927313886849, 5.531049734814007, 5.5511721557411695, 5.571294576668328, 5.591416997595487, 5.611539418522647, 5.631661839449808, 5.651784260376968, 5.671906681304127])
.range(['#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#a50026ff', '#d73027ff', '#d73027ff', '#d73027ff', '#d73027ff', '#d73027ff', '#d73027ff', '#d73027ff', '#d73027ff', '#d73027ff', '#d73027ff', '#d73027ff', '#d73027ff', '#d73027ff', '#d73027ff', '#d73027ff', '#d73027ff', '#d73027ff', '#d73027ff', '#d73027ff', '#d73027ff', '#d73027ff', '#d73027ff', '#d73027ff', '#d73027ff', '#d73027ff', '#d73027ff', '#d73027ff', '#d73027ff', '#d73027ff', '#d73027ff', '#d73027ff', '#d73027ff', '#d73027ff', '#d73027ff', '#d73027ff', '#d73027ff', '#d73027ff', '#d73027ff', '#d73027ff', '#d73027ff', '#d73027ff', '#d73027ff', '#d73027ff', '#d73027ff', '#d73027ff', '#d73027ff', '#d73027ff', '#d73027ff', '#d73027ff', '#d73027ff', '#d73027ff', '#d73027ff', '#d73027ff', '#d73027ff', '#d73027ff', '#d73027ff', '#d73027ff', '#d73027ff', '#d73027ff', '#d73027ff', '#d73027ff', '#d73027ff', '#d73027ff', '#d73027ff', '#d73027ff', '#d73027ff', '#d73027ff', '#d73027ff', '#d73027ff', '#d73027ff', '#d73027ff', '#d73027ff', '#f46d43ff', '#f46d43ff', '#f46d43ff', '#f46d43ff', '#f46d43ff', '#f46d43ff', '#f46d43ff', '#f46d43ff', '#f46d43ff', '#f46d43ff', '#f46d43ff', '#f46d43ff', '#f46d43ff', '#f46d43ff', '#f46d43ff', '#f46d43ff', '#fdae61ff', '#fdae61ff', '#fdae61ff', '#fdae61ff', '#fdae61ff', '#fdae61ff', '#fdae61ff', '#fdae61ff', '#fdae61ff', '#fdae61ff', '#fdae61ff', '#fdae61ff', '#fdae61ff', '#fdae61ff', '#fee08bff', '#fee08bff', '#fee08bff', '#fee08bff', '#fee08bff', '#fee08bff', '#fee08bff', '#fee08bff', '#fee08bff', '#fee08bff', '#d9ef8bff', '#d9ef8bff', '#d9ef8bff', '#d9ef8bff', '#d9ef8bff', '#d9ef8bff', '#d9ef8bff', '#d9ef8bff', '#d9ef8bff', '#d9ef8bff', '#d9ef8bff', '#d9ef8bff', '#d9ef8bff', '#d9ef8bff', '#d9ef8bff', '#d9ef8bff', '#d9ef8bff', '#d9ef8bff', '#d9ef8bff', '#d9ef8bff', '#d9ef8bff', '#d9ef8bff', '#d9ef8bff', '#d9ef8bff', '#d9ef8bff', '#d9ef8bff', '#d9ef8bff', '#d9ef8bff', '#d9ef8bff', '#d9ef8bff', '#d9ef8bff', '#a6d96aff', '#a6d96aff', '#a6d96aff', '#a6d96aff', '#a6d96aff', '#a6d96aff', '#a6d96aff', '#a6d96aff', '#a6d96aff', '#a6d96aff', '#a6d96aff', '#a6d96aff', '#a6d96aff', '#a6d96aff', '#a6d96aff', '#a6d96aff', '#a6d96aff', '#a6d96aff', '#a6d96aff', '#a6d96aff', '#a6d96aff', '#a6d96aff', '#a6d96aff', '#a6d96aff', '#a6d96aff', '#a6d96aff', '#a6d96aff', '#a6d96aff', '#a6d96aff', '#a6d96aff', '#a6d96aff', '#a6d96aff', '#a6d96aff', '#a6d96aff', '#a6d96aff', '#a6d96aff', '#a6d96aff', '#a6d96aff', '#a6d96aff', '#a6d96aff', '#a6d96aff', '#a6d96aff', '#a6d96aff', '#a6d96aff', '#a6d96aff', '#a6d96aff', '#a6d96aff', '#a6d96aff', '#a6d96aff', '#a6d96aff', '#a6d96aff', '#a6d96aff', '#a6d96aff', '#a6d96aff', '#a6d96aff', '#a6d96aff', '#a6d96aff', '#a6d96aff', '#a6d96aff', '#a6d96aff', '#a6d96aff', '#a6d96aff', '#66bd63ff', '#66bd63ff', '#66bd63ff', '#66bd63ff', '#66bd63ff', '#66bd63ff', '#66bd63ff', '#66bd63ff', '#66bd63ff', '#66bd63ff', '#66bd63ff', '#66bd63ff', '#66bd63ff', '#66bd63ff', '#66bd63ff', '#66bd63ff', '#66bd63ff', '#66bd63ff', '#66bd63ff', '#66bd63ff', '#66bd63ff', '#66bd63ff', '#1a9850ff', '#1a9850ff', '#1a9850ff', '#1a9850ff', '#1a9850ff', '#1a9850ff', '#1a9850ff', '#1a9850ff', '#1a9850ff', '#1a9850ff', '#1a9850ff', '#1a9850ff', '#1a9850ff', '#1a9850ff', '#1a9850ff', '#1a9850ff', '#1a9850ff', '#1a9850ff', '#1a9850ff', '#1a9850ff', '#1a9850ff', '#1a9850ff', '#1a9850ff', '#1a9850ff', '#1a9850ff', '#1a9850ff', '#1a9850ff', '#1a9850ff', '#1a9850ff', '#1a9850ff', '#1a9850ff', '#1a9850ff', '#1a9850ff', '#1a9850ff', '#1a9850ff', '#1a9850ff', '#1a9850ff', '#1a9850ff', '#1a9850ff', '#1a9850ff', '#1a9850ff', '#1a9850ff', '#1a9850ff', '#1a9850ff', '#1a9850ff', '#1a9850ff', '#1a9850ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff', '#006837ff']);
color_map_cefe66010de7a9e3859dee6c0ad79901.x = d3.scale.linear()
.domain([-4.3691813613485975, 5.671906681304127])
.range([0, 450 - 50]);
color_map_cefe66010de7a9e3859dee6c0ad79901.legend = L.control({position: 'topright'});
color_map_cefe66010de7a9e3859dee6c0ad79901.legend.onAdd = function (map) {var div = L.DomUtil.create('div', 'legend'); return div};
color_map_cefe66010de7a9e3859dee6c0ad79901.legend.addTo(map_cfd4219cbe218c3ddbd9f1690c333306);
color_map_cefe66010de7a9e3859dee6c0ad79901.xAxis = d3.svg.axis()
.scale(color_map_cefe66010de7a9e3859dee6c0ad79901.x)
.orient("top")
.tickSize(1)
.tickValues([-4.3691813613485975, '', -0.9231412988926668, '', -0.31107943927102405, '', 0.5086200579734276, '', 2.2004854128038907, '', 5.671906681304126, '']);
color_map_cefe66010de7a9e3859dee6c0ad79901.svg = d3.select(".legend.leaflet-control").append("svg")
.attr("id", 'legend')
.attr("width", 450)
.attr("height", 40);
color_map_cefe66010de7a9e3859dee6c0ad79901.g = color_map_cefe66010de7a9e3859dee6c0ad79901.svg.append("g")
.attr("class", "key")
.attr("transform", "translate(25,16)");
color_map_cefe66010de7a9e3859dee6c0ad79901.g.selectAll("rect")
.data(color_map_cefe66010de7a9e3859dee6c0ad79901.color.range().map(function(d, i) {
return {
x0: i ? color_map_cefe66010de7a9e3859dee6c0ad79901.x(color_map_cefe66010de7a9e3859dee6c0ad79901.color.domain()[i - 1]) : color_map_cefe66010de7a9e3859dee6c0ad79901.x.range()[0],
x1: i < color_map_cefe66010de7a9e3859dee6c0ad79901.color.domain().length ? color_map_cefe66010de7a9e3859dee6c0ad79901.x(color_map_cefe66010de7a9e3859dee6c0ad79901.color.domain()[i]) : color_map_cefe66010de7a9e3859dee6c0ad79901.x.range()[1],
z: d
};
}))
.enter().append("rect")
.attr("height", 40 - 30)
.attr("x", function(d) { return d.x0; })
.attr("width", function(d) { return d.x1 - d.x0; })
.style("fill", function(d) { return d.z; });
color_map_cefe66010de7a9e3859dee6c0ad79901.g.call(color_map_cefe66010de7a9e3859dee6c0ad79901.xAxis).append("text")
.attr("class", "caption")
.attr("y", 21)
.text("");
Thank you in advance for your assistance!
- Linguagem predominante
- Python
- Estrelas
- 134
- Forks
- 69
- Merge médio
- 23min
- PRs com merge (30d)
- 2
Preparar o ambiente
Este projeto não oferece contêiner de desenvolvimento, Dockerfile nem guia de contribuição, então a configuração fica por sua conta: comece pelo README e veja nosso guia da primeira contribuição para os passos gerais.
Primeiros passos
- Leia a issue inteira e depois o guia de contribuição do projeto.
- Comente na issue dizendo que vai assumir — evita que duas pessoas façam o mesmo trabalho.
- Faça um fork do repositório e trabalhe em uma branch.
- Abra um pull request que referencie o número da issue.
Mais de python-visualization/branca
-
Should LinearColormap.to_step(n=1) create a one-step colormap?Talvez já em andamento @Htet-Kaung-San assumiu há 77 dias. Aberta
Dificuldade 2/5 1-3 horas Facilidade para iniciantes 58/100
python-visualization/branca#222 · 1 comentário ·
-
Accessibility issue - possible to enable adding HTML attributes to rendered iframe elements?Talvez já em andamento @Htet-Kaung-San assumiu há 49 dias. Aberta
Dificuldade 3/5 1-2 dias Facilidade para iniciantes 45/100
python-visualization/branca#213 · 1 comentário ·
-
Dificuldade 4/5 3-5 dias Facilidade para iniciantes 42/100
python-visualization/branca#195 ·
-
Colors given as tuple of ints are not working anymore for LinearColormap and StepColormap since v0.8.0Talvez já em andamento @Conengmo assumiu há 574 dias. Abertabug
Dificuldade 2/5 1-3 horas Facilidade para iniciantes 45/100
python-visualization/branca#190 · 6 comentários ·
-
test_color_brewer_extendability is very very slowTalvez já em andamento @Conengmo assumiu há 574 dias. Aberta
Dificuldade 3/5 1-2 dias Facilidade para iniciantes 30/100
python-visualization/branca#174 · 9 comentários ·
Todas as issues de python-visualization/branca
Issues semelhantes
-
Dificuldade 2/5 1-3 horas Facilidade para iniciantes 72/100
NousResearch/hermes-agent#136483 ·
Mantenedores costumam responder em até 1 dia
-
Dificuldade 1/5 Menos de uma hora Facilidade para iniciantes 88/100
Mantenedores costumam responder em até 1 dia
-
[BUG] LazyStackedTensorDictStore zeroes the last byte of a new key set on the last elementTalvez já em andamento @peterdsharpe assumiu hoje. Abertabug
Dificuldade 2/5 1-3 horas Facilidade para iniciantes 78/100
pytorch/tensordict#2307 ·
Mantenedores costumam responder em até 1 dia
-
Dificuldade 2/5 1-3 horas Facilidade para iniciantes 78/100
Mantenedores costumam responder em até 1 dia
-
GrokModel.generate/a_generate pass an OpenAI-style list-of-dicts to xai_sdk.chat.user(), so every call crashes with a protobuf TypeError before any network I/OTalvez já em andamento @Christian-Sidak assumiu hoje. Aberta
Dificuldade 2/5 1-3 horas Facilidade para iniciantes 70/100
confident-ai/deepeval#3436 · 1 comentário ·
Mantenedores costumam responder em até 1 dia