RNA velocity (embedding)

library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-scatter2d39-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-scatter2d39-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
graphType="Scatter2D",
scatterType="vectorfield",
title="RNA velocity (embedding)",
vectorFieldMode="raw",
vectorGroupBy="Cluster",
vectorScale=1.4,
xAxisTitle="UMAP-1",
yAxisTitle="UMAP-2"
)

from canvasxpress.canvas import CanvasXpress
from canvasxpress.plot import show_in_browser

if __name__ == "__main__":
  # Define the chart with its data and configuration
  chart: CanvasXpress = CanvasXpress(
    render_to = "scatter2d39",
    data = {
      "y": {
        "vars": ["c0", "c1", "c2", "c3", "c4", "c5", "c6", "c7", "c8", "c9", "c10", "c11", "c12", "c13", "c14", "c15", "c16", "c17", "c18", "c19", "c20", "c21", "c22", "c23", "c24", "c25", "c26", "c27", "c28", "c29", "c30", "c31", "c32", "c33", "c34", "c35", "c36", "c37", "c38", "c39", "c40", "c41", "c42", "c43", "c44", "c45", "c46", "c47", "c48", "c49", "c50", "c51", "c52", "c53", "c54", "c55", "c56", "c57", "c58", "c59", "c60", "c61", "c62", "c63", "c64", "c65", "c66", "c67", "c68", "c69", "c70", "c71", "c72", "c73", "c74", "c75", "c76", "c77", "c78", "c79", "c80", "c81", "c82", "c83", "c84", "c85", "c86", "c87", "c88", "c89", "c90", "c91", "c92", "c93", "c94", "c95", "c96", "c97", "c98", "c99", "c100", "c101", "c102", "c103", "c104", "c105", "c106", "c107", "c108", "c109", "c110", "c111", "c112", "c113", "c114", "c115", "c116", "c117", "c118", "c119", "c120", "c121", "c122", "c123", "c124", "c125", "c126", "c127", "c128", "c129", "c130", "c131", "c132", "c133", "c134", "c135", "c136", "c137", "c138", "c139", "c140", "c141", "c142", "c143", "c144", "c145", "c146", "c147", "c148", "c149", "c150", "c151", "c152", "c153", "c154", "c155", "c156", "c157", "c158", "c159", "c160", "c161", "c162", "c163", "c164", "c165", "c166", "c167", "c168", "c169", "c170", "c171", "c172", "c173", "c174", "c175", "c176", "c177", "c178", "c179", "c180", "c181", "c182", "c183", "c184", "c185", "c186", "c187", "c188", "c189", "c190", "c191", "c192", "c193", "c194", "c195", "c196", "c197", "c198", "c199", "c200", "c201", "c202", "c203", "c204", "c205", "c206", "c207", "c208", "c209", "c210", "c211", "c212", "c213", "c214", "c215", "c216", "c217", "c218", "c219", "c220", "c221", "c222", "c223", "c224", "c225", "c226", "c227", "c228", "c229", "c230", "c231", "c232", "c233", "c234", "c235", "c236", "c237", "c238", "c239", "c240", "c241", "c242", "c243", "c244", "c245", "c246", "c247", "c248", "c249", "c250", "c251", "c252", "c253", "c254", "c255", "c256", "c257", "c258", "c259", "c260", "c261", "c262", "c263", "c264", "c265", "c266", "c267", "c268", "c269", "c270", "c271", "c272", "c273", "c274", "c275", "c276", "c277", "c278", "c279", "c280", "c281", "c282", "c283", "c284", "c285", "c286", "c287", "c288", "c289", "c290", "c291", "c292", "c293", "c294", "c295", "c296", "c297", "c298", "c299"],
        "smps": ["x", "y", "vx", "vy"],
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          [1.1492, -0.6855, 0.1986, -0.2999],
          [0.4344, -2.158, 0.3005, -0.1919],
          [1.016, -1.2022, 0.1947, -0.3389],
          [1.8437, -2.4841, 0.2789, -0.2399],
          [2.0047, -1.5273, 0.1069, -0.3574],
          [0.5376, -2.2008, 0.4479, -0.1762],
          [1.0143, -0.0863, 0.1326, -0.3669],
          [0.5717, -1.3128, 0.229, -0.3091],
          [1.8831, -1.5313, 0.1621, -0.3098],
          [1.2988, -0.6897, 0.1727, -0.3866],
          [1.1682, -1.9998, 0.2809, -0.227],
          [2.4012, -1.1594, -0.0003, -0.4431],
          [2.3493, -1.5461, 0.0157, -0.3928],
          [0.9602, -2.3673, 0.316, -0.1292],
          [1.0219, -1.4042, 0.2399, -0.3405],
          [0.5427, -2.8728, 0.4413, -0.0241],
          [0.2932, -1.8484, 0.4016, -0.1941],
          [0.9037, -0.6013, 0.2609, -0.2914],
          [1.0894, -1.6839, 0.2484, -0.246],
          [0.9352, -3.2831, 0.4411, 0.0693],
          [1.4559, -2.0272, 0.2422, -0.3455],
          [0.2672, -2.3872, 0.4162, -0.1369],
          [-0.3149, -1.3448, 0.3753, -0.2454],
          [-0.0378, -1.1679, 0.331, -0.2172],
          [1.2313, -0.6505, 0.1405, -0.4317],
          [1.1005, -1.4711, 0.2081, -0.3702],
          [0.7826, -1.2796, 0.2094, -0.2246],
          [0.65, -2.5285, 0.4243, -0.1164],
          [1.8566, -1.2244, 0.1091, -0.4432],
          [1.6242, -2.936, 0.3121, -0.0389]
        ]
      },
      "z": {
        "Cluster": ["Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B"]
      }
    },
    config = {
      "graphType": "Scatter2D",
      "scatterType": "vectorfield",
      "vectorFieldMode": "raw",
      "vectorGroupBy": "Cluster",
      "vectorScale": 1.4,
      "title": "RNA velocity (embedding)",
      "xAxisTitle": "UMAP-1",
      "yAxisTitle": "UMAP-2"
    },
    width = 600,
    height = 600
  )

  # Display the chart in its own Web page
  show_in_browser(chart)

Run this notebook:

from canvasxpress.canvas import CanvasXpress
from canvasxpress.plot import graph

graph(
  CanvasXpress(
    render_to = "scatter2d39",
    data = {
      "y": {
        "vars": ["c0", "c1", "c2", "c3", "c4", "c5", "c6", "c7", "c8", "c9", "c10", "c11", "c12", "c13", "c14", "c15", "c16", "c17", "c18", "c19", "c20", "c21", "c22", "c23", "c24", "c25", "c26", "c27", "c28", "c29", "c30", "c31", "c32", "c33", "c34", "c35", "c36", "c37", "c38", "c39", "c40", "c41", "c42", "c43", "c44", "c45", "c46", "c47", "c48", "c49", "c50", "c51", "c52", "c53", "c54", "c55", "c56", "c57", "c58", "c59", "c60", "c61", "c62", "c63", "c64", "c65", "c66", "c67", "c68", "c69", "c70", "c71", "c72", "c73", "c74", "c75", "c76", "c77", "c78", "c79", "c80", "c81", "c82", "c83", "c84", "c85", "c86", "c87", "c88", "c89", "c90", "c91", "c92", "c93", "c94", "c95", "c96", "c97", "c98", "c99", "c100", "c101", "c102", "c103", "c104", "c105", "c106", "c107", "c108", "c109", "c110", "c111", "c112", "c113", "c114", "c115", "c116", "c117", "c118", "c119", "c120", "c121", "c122", "c123", "c124", "c125", "c126", "c127", "c128", "c129", "c130", "c131", "c132", "c133", "c134", "c135", "c136", "c137", "c138", "c139", "c140", "c141", "c142", "c143", "c144", "c145", "c146", "c147", "c148", "c149", "c150", "c151", "c152", "c153", "c154", "c155", "c156", "c157", "c158", "c159", "c160", "c161", "c162", "c163", "c164", "c165", "c166", "c167", "c168", "c169", "c170", "c171", "c172", "c173", "c174", "c175", "c176", "c177", "c178", "c179", "c180", "c181", "c182", "c183", "c184", "c185", "c186", "c187", "c188", "c189", "c190", "c191", "c192", "c193", "c194", "c195", "c196", "c197", "c198", "c199", "c200", "c201", "c202", "c203", "c204", "c205", "c206", "c207", "c208", "c209", "c210", "c211", "c212", "c213", "c214", "c215", "c216", "c217", "c218", "c219", "c220", "c221", "c222", "c223", "c224", "c225", "c226", "c227", "c228", "c229", "c230", "c231", "c232", "c233", "c234", "c235", "c236", "c237", "c238", "c239", "c240", "c241", "c242", "c243", "c244", "c245", "c246", "c247", "c248", "c249", "c250", "c251", "c252", "c253", "c254", "c255", "c256", "c257", "c258", "c259", "c260", "c261", "c262", "c263", "c264", "c265", "c266", "c267", "c268", "c269", "c270", "c271", "c272", "c273", "c274", "c275", "c276", "c277", "c278", "c279", "c280", "c281", "c282", "c283", "c284", "c285", "c286", "c287", "c288", "c289", "c290", "c291", "c292", "c293", "c294", "c295", "c296", "c297", "c298", "c299"],
        "smps": ["x", "y", "vx", "vy"],
        "data": [
          [-2.1791, -0.642, 0.3899, 0.1329],
          [-2.651, -1.1493, 0.2758, 0.1868],
          [-1.2742, -0.8258, 0.2644, 0.1716],
          [-3.1662, -0.4013, 0.3079, 0.1097],
          [-3.184, -2.2207, 0.3447, 0.2117],
          [-1.7862, -1.0321, 0.4027, 0.1864],
          [-1.7839, -0.7241, 0.3192, 0.2179],
          [-1.6104, -0.1621, 0.3958, 0.142],
          [-2.2408, -1.0745, 0.2725, 0.1661],
          [-2.3131, -1.6698, 0.3, 0.2346],
          [-2.5656, -0.8287, 0.4157, 0.1863],
          [-1.9661, -0.0856, 0.3815, 0.1596],
          [-2.0743, -1.5721, 0.4073, 0.1847],
          [-3.0253, -0.4205, 0.312, 0.1309],
          [-0.9916, -0.7464, 0.3758, 0.2314],
          [-1.5692, -1.4282, 0.3512, 0.2514],
          [-2.6773, -1.3718, 0.4069, 0.2416],
          [-3.0204, -0.8325, 0.287, 0.1731],
          [-3.33, -2.7628, 0.371, 0.2147],
          [-2.7839, -0.3158, 0.2879, 0.1277],
          [-1.828, -0.6959, 0.2766, 0.2094],
          [-1.6369, -0.6166, 0.3348, 0.2207],
          [-1.3314, -0.6293, 0.3554, 0.2375],
          [-1.4104, -2.2678, 0.2495, 0.273],
          [-2.9178, 0.1271, 0.477, 0.0797],
          [-1.7726, -0.5451, 0.3113, 0.1746],
          [-2.4631, -1.2903, 0.2606, 0.1918],
          [-2.6163, -0.3375, 0.4615, 0.1487],
          [-2.966, -1.0943, 0.3919, 0.1351],
          [-1.0167, -1.7189, 0.341, 0.3199],
          [-2.5509, -0.5579, 0.2965, 0.1626],
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          [-2.1233, -0.8058, 0.2673, 0.1501],
          [-1.4652, -0.6039, 0.2677, 0.2278],
          [-2.2993, -1.2608, 0.3017, 0.1881],
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          [-1.8444, -0.5529, 0.3825, 0.2087],
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          [-2.6232, 0.0922, 0.4771, 0.0992],
          [-3.3804, -0.0154, 0.4313, 0.0821],
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          [-3.374, -0.2517, 0.3838, 0.1155],
          [-2.1345, -1.02, 0.3388, 0.1641],
          [-0.7461, -0.969, 0.2607, 0.2473],
          [-2.1386, -1.8818, 0.2913, 0.2435],
          [-3.1524, -1.4185, 0.2842, 0.192],
          [-1.9947, -0.4363, 0.4163, 0.161],
          [-3.0948, -1.4473, 0.425, 0.1841],
          [-2.6317, -1.5397, 0.3438, 0.2279],
          [-2.8257, -0.7451, 0.3639, 0.1917],
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          [-1.3724, -0.0834, 0.399, 0.126],
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          [0.7493, 1.012, 0.3048, 0.179],
          [0.3341, -0.4704, 0.2326, 0.268],
          [1.6366, 2.8414, 0.2971, -0.1321],
          [1.8505, 1.2582, 0.371, 0.3021],
          [0.9372, -1.4113, 0.2412, 0.3177],
          [1.8468, 2.5079, 0.4341, -0.079],
          [0.8503, 0.4135, 0.2882, 0.2341],
          [1.2258, 1.0464, 0.2984, 0.2019],
          [1.5458, 0.9008, 0.3675, 0.2275],
          [0.393, 2.0187, 0.4633, 0.0268],
          [1.9552, 1.2415, 0.276, 0.3271],
          [1.4334, 1.624, 0.4499, 0.1056],
          [0.1163, 1.6801, 0.4461, 0.0547],
          [1.4456, 1.0547, 0.3897, 0.2085],
          [1.1745, -0.4973, 0.2062, 0.2935],
          [2.1357, 0.7452, 0.18, 0.3811],
          [0.9719, 1.5138, 0.2849, 0.1446],
          [2.0588, 0.5027, 0.237, 0.2666],
          [1.2804, 1.7908, 0.478, 0.1136],
          [0.7974, 1.3482, 0.36, 0.1438],
          [1.6003, 0.8057, 0.3263, 0.316],
          [1.7319, -0.0814, 0.2048, 0.3195],
          [0.9192, 1.6011, 0.4386, 0.0873],
          [1.5804, 2.1069, 0.3487, 0.0205],
          [2.0678, 1.1875, 0.2473, 0.3649],
          [2.7459, -0.3894, 0.0345, 0.3153],
          [1.876, 1.4683, 0.3704, 0.2124],
          [1.2721, 1.7234, 0.4088, 0.1156],
          [1.1828, -0.3562, 0.2508, 0.2643],
          [1.5155, 0.5088, 0.2727, 0.2815],
          [1.1651, 0.5347, 0.2588, 0.2346],
          [1.8296, -0.4066, 0.0893, -0.3567],
          [-0.738, -0.2705, 0.3029, -0.2273],
          [1.3658, -2.551, 0.457, -0.1276],
          [-0.2782, -1.3956, 0.4016, -0.2481],
          [1.5651, -1.4535, 0.1539, -0.2973],
          [1.9128, -1.7566, 0.1773, -0.3486],
          [1.5096, -2.1698, 0.2574, -0.3107],
          [1.3119, -1.7108, 0.2704, -0.324],
          [1.1356, -0.9424, 0.1719, -0.2904],
          [0.9708, -0.6536, 0.2239, -0.291],
          [1.6217, -1.5555, 0.2067, -0.2967],
          [0.8202, -1.1635, 0.2994, -0.3105],
          [1.2984, -1.4747, 0.2219, -0.3324],
          [0.8037, -1.8348, 0.2688, -0.2589],
          [0.518, -1.2932, 0.2678, -0.3296],
          [0.6544, -0.7635, 0.2285, -0.3021],
          [2.5532, -3.3787, -0.1398, 0.3147],
          [0.935, -2.0679, 0.2541, -0.2578],
          [-0.1511, -1.0021, 0.3002, -0.2938],
          [0.5956, -1.4986, 0.2329, -0.2624],
          [0.0262, -2.7872, 0.3165, -0.0379],
          [0.429, -0.9983, 0.231, -0.2541],
          [-0.5812, -1.8115, 0.2989, -0.1474],
          [1.617, -3.3201, 0.3142, 0.1231],
          [2.7863, -2.2676, -0.185, -0.2748],
          [1.6203, -1.9103, 0.2798, -0.3449],
          [1.1868, -1.9692, 0.3484, -0.223],
          [-0.1181, -0.8348, 0.3532, -0.2194],
          [1.1406, -0.9069, 0.2081, -0.3228],
          [1.3774, -1.2317, 0.2228, -0.4151],
          [1.87, -1.3702, 0.1396, -0.2925],
          [1.1844, -1.8979, 0.3111, -0.2754],
          [0.5822, -2.0286, 0.3387, -0.1963],
          [0.0831, -1.1382, 0.3035, -0.2428],
          [1.9618, -1.4577, 0.1087, -0.3338],
          [1.1037, -2.8137, 0.3877, -0.0478],
          [0.6716, -1.5442, 0.2491, -0.2487],
          [1.634, -1.188, 0.1565, -0.2838],
          [0.8102, -1.8193, 0.3586, -0.2716],
          [0.7668, -1.6169, 0.3058, -0.2427],
          [1.3609, -1.7151, 0.2964, -0.3882],
          [0.8556, -2.8778, 0.3377, -0.0392],
          [-0.7514, -1.5105, 0.4369, -0.1423],
          [1.3862, -3.1701, 0.3088, 0.0612],
          [1.016, -2.0113, 0.39, -0.2064],
          [1.1562, -1.9571, 0.3068, -0.311],
          [1.1415, -1.0719, 0.2193, -0.3047],
          [1.432, -1.4982, 0.18, -0.4096],
          [0.364, -2.9446, 0.3336, -0.0124],
          [1.6456, -1.0303, 0.1528, -0.3474],
          [1.6219, -2.2381, 0.2972, -0.3334],
          [2.7446, -0.2536, -0.053, -0.3759],
          [1.162, -2.1246, 0.4067, -0.2399],
          [0.2396, -0.6838, 0.265, -0.2452],
          [0.9911, -1.8201, 0.3557, -0.2252],
          [-0.2911, -3.1456, 0.4166, 0.0234],
          [0.9839, -1.5613, 0.2152, -0.2351],
          [0.4446, -2.0962, 0.3654, -0.201],
          [1.3394, -1.2292, 0.2213, -0.2612],
          [1.6554, -1.5892, 0.15, -0.3285],
          [1.1492, -0.6855, 0.1986, -0.2999],
          [0.4344, -2.158, 0.3005, -0.1919],
          [1.016, -1.2022, 0.1947, -0.3389],
          [1.8437, -2.4841, 0.2789, -0.2399],
          [2.0047, -1.5273, 0.1069, -0.3574],
          [0.5376, -2.2008, 0.4479, -0.1762],
          [1.0143, -0.0863, 0.1326, -0.3669],
          [0.5717, -1.3128, 0.229, -0.3091],
          [1.8831, -1.5313, 0.1621, -0.3098],
          [1.2988, -0.6897, 0.1727, -0.3866],
          [1.1682, -1.9998, 0.2809, -0.227],
          [2.4012, -1.1594, -0.0003, -0.4431],
          [2.3493, -1.5461, 0.0157, -0.3928],
          [0.9602, -2.3673, 0.316, -0.1292],
          [1.0219, -1.4042, 0.2399, -0.3405],
          [0.5427, -2.8728, 0.4413, -0.0241],
          [0.2932, -1.8484, 0.4016, -0.1941],
          [0.9037, -0.6013, 0.2609, -0.2914],
          [1.0894, -1.6839, 0.2484, -0.246],
          [0.9352, -3.2831, 0.4411, 0.0693],
          [1.4559, -2.0272, 0.2422, -0.3455],
          [0.2672, -2.3872, 0.4162, -0.1369],
          [-0.3149, -1.3448, 0.3753, -0.2454],
          [-0.0378, -1.1679, 0.331, -0.2172],
          [1.2313, -0.6505, 0.1405, -0.4317],
          [1.1005, -1.4711, 0.2081, -0.3702],
          [0.7826, -1.2796, 0.2094, -0.2246],
          [0.65, -2.5285, 0.4243, -0.1164],
          [1.8566, -1.2244, 0.1091, -0.4432],
          [1.6242, -2.936, 0.3121, -0.0389]
        ]
      },
      "z": {
        "Cluster": ["Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Progenitor", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage A", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B", "Lineage B"]
      }
    },
    config = {
      "graphType": "Scatter2D",
      "scatterType": "vectorfield",
      "vectorFieldMode": "raw",
      "vectorGroupBy": "Cluster",
      "vectorScale": 1.4,
      "title": "RNA velocity (embedding)",
      "xAxisTitle": "UMAP-1",
      "yAxisTitle": "UMAP-2"
    },
    width = 600,
    height = 600
  )
)

using CanvasXpress

canvasxpress(Dict(
  "y" => Dict(
    "vars" => ["c0", "c1", "c2", "c3", "c4", "c5", "c6", "c7", "c8", "c9", "c10", "c11", "c12", "c13", "c14", "c15", "c16", "c17", "c18", "c19", "c20", "c21", "c22", "c23", "c24", "c25", "c26", "c27", "c28", "c29", "c30", "c31", "c32", "c33", "c34", "c35", "c36", "c37", "c38", "c39", "c40", "c41", "c42", "c43", "c44", "c45", "c46", "c47", "c48", "c49", "c50", "c51", "c52", "c53", "c54", "c55", "c56", "c57", "c58", "c59", "c60", "c61", "c62", "c63", "c64", "c65", "c66", "c67", "c68", "c69", "c70", "c71", "c72", "c73", "c74", "c75", "c76", "c77", "c78", "c79", "c80", "c81", "c82", "c83", "c84", "c85", "c86", "c87", "c88", "c89", "c90", "c91", "c92", "c93", "c94", "c95", "c96", "c97", "c98", "c99", "c100", "c101", "c102", "c103", "c104", "c105", "c106", "c107", "c108", "c109", "c110", "c111", "c112", "c113", "c114", "c115", "c116", "c117", "c118", "c119", "c120", "c121", "c122", "c123", "c124", "c125", "c126", "c127", "c128", "c129", "c130", "c131", "c132", "c133", "c134", "c135", "c136", "c137", "c138", "c139", "c140", "c141", "c142", "c143", "c144", "c145", "c146", "c147", "c148", "c149", "c150", "c151", "c152", "c153", "c154", "c155", "c156", "c157", "c158", "c159", "c160", "c161", "c162", "c163", "c164", "c165", "c166", "c167", "c168", "c169", "c170", "c171", "c172", "c173", "c174", "c175", "c176", "c177", "c178", "c179", "c180", "c181", "c182", "c183", "c184", "c185", "c186", "c187", "c188", "c189", "c190", "c191", "c192", "c193", "c194", "c195", "c196", "c197", "c198", "c199", "c200", "c201", "c202", "c203", "c204", "c205", "c206", "c207", "c208", "c209", "c210", "c211", "c212", "c213", "c214", "c215", "c216", "c217", "c218", "c219", "c220", "c221", "c222", "c223", "c224", "c225", "c226", "c227", "c228", "c229", "c230", "c231", "c232", "c233", "c234", "c235", "c236", "c237", "c238", "c239", "c240", "c241", "c242", "c243", "c244", "c245", "c246", "c247", "c248", "c249", "c250", "c251", "c252", "c253", "c254", "c255", "c256", "c257", "c258", "c259", "c260", "c261", "c262", "c263", "c264", "c265", "c266", "c267", "c268", "c269", "c270", "c271", "c272", "c273", "c274", "c275", "c276", "c277", "c278", "c279", "c280", "c281", "c282", "c283", "c284", "c285", "c286", "c287", "c288", "c289", "c290", "c291", "c292", "c293", "c294", "c295", "c296", "c297", "c298", "c299"],
    "smps" => ["x", "y", "vx", "vy"],
    "data" => [
      [-2.1791, -0.642, 0.3899, 0.1329],
      [-2.651, -1.1493, 0.2758, 0.1868],
      [-1.2742, -0.8258, 0.2644, 0.1716],
      [-3.1662, -0.4013, 0.3079, 0.1097],
      [-3.184, -2.2207, 0.3447, 0.2117],
      [-1.7862, -1.0321, 0.4027, 0.1864],
      [-1.7839, -0.7241, 0.3192, 0.2179],
      [-1.6104, -0.1621, 0.3958, 0.142],
      [-2.2408, -1.0745, 0.2725, 0.1661],
      [-2.3131, -1.6698, 0.3, 0.2346],
      [-2.5656, -0.8287, 0.4157, 0.1863],
      [-1.9661, -0.0856, 0.3815, 0.1596],
      [-2.0743, -1.5721, 0.4073, 0.1847],
      [-3.0253, -0.4205, 0.312, 0.1309],
      [-0.9916, -0.7464, 0.3758, 0.2314],
      [-1.5692, -1.4282, 0.3512, 0.2514],
      [-2.6773, -1.3718, 0.4069, 0.2416],
      [-3.0204, -0.8325, 0.287, 0.1731],
      [-3.33, -2.7628, 0.371, 0.2147],
      [-2.7839, -0.3158, 0.2879, 0.1277],
      [-1.828, -0.6959, 0.2766, 0.2094],
      [-1.6369, -0.6166, 0.3348, 0.2207],
      [-1.3314, -0.6293, 0.3554, 0.2375],
      [-1.4104, -2.2678, 0.2495, 0.273],
      [-2.9178, 0.1271, 0.477, 0.0797],
      [-1.7726, -0.5451, 0.3113, 0.1746],
      [-2.4631, -1.2903, 0.2606, 0.1918],
      [-2.6163, -0.3375, 0.4615, 0.1487],
      [-2.966, -1.0943, 0.3919, 0.1351],
      [-1.0167, -1.7189, 0.341, 0.3199],
      [-2.5509, -0.5579, 0.2965, 0.1626],
      [-1.7583, -0.9004, 0.2955, 0.167],
      [-2.1233, -0.8058, 0.2673, 0.1501],
      [-1.4652, -0.6039, 0.2677, 0.2278],
      [-2.2993, -1.2608, 0.3017, 0.1881],
      [-2.2356, -0.7299, 0.4235, 0.2158],
      [-2.7867, -0.8293, 0.2896, 0.1308],
      [-2.3018, -0.5414, 0.4277, 0.1316],
      [-0.299, -0.7514, 0.3074, 0.2149],
      [-2.1579, -1.0439, 0.3538, 0.2425],
      [-1.294, -1.818, 0.2591, 0.2529],
      [-1.4007, 0.0437, 0.3804, 0.1607],
      [-2.2387, -0.5637, 0.4228, 0.2011],
      [-1.2379, -2.0133, 0.329, 0.3156],
      [-1.8769, -0.1637, 0.3465, 0.1095],
      [-1.442, -0.901, 0.2974, 0.2342],
      [-1.2661, -1.2057, 0.3896, 0.299],
      [-1.3598, -1.186, 0.2784, 0.203],
      [-1.8444, -0.5529, 0.3825, 0.2087],
      [-1.5695, -1.6742, 0.3337, 0.2907],
      [-1.1135, -0.4774, 0.4193, 0.225],
      [-1.9993, -1.7982, 0.2671, 0.2774],
      [-2.6232, 0.0922, 0.4771, 0.0992],
      [-3.3804, -0.0154, 0.4313, 0.0821],
      [-1.7203, -0.713, 0.4234, 0.2189],
      [-1.2046, 0.0412, 0.4607, 0.1599],
      [-2.5208, -0.287, 0.3072, 0.1019],
      [-1.003, -1.1844, 0.3154, 0.3056],
      [-3.2977, -0.4269, 0.4415, 0.1079],
      [-2.0067, -0.4172, 0.3196, 0.1655],
      [-2.0429, -0.2718, 0.3035, 0.1767],
      [-2.4703, -0.3841, 0.3892, 0.1716],
      [-3.374, -0.2517, 0.3838, 0.1155],
      [-2.1345, -1.02, 0.3388, 0.1641],
      [-0.7461, -0.969, 0.2607, 0.2473],
      [-2.1386, -1.8818, 0.2913, 0.2435],
      [-3.1524, -1.4185, 0.2842, 0.192],
      [-1.9947, -0.4363, 0.4163, 0.161],
      [-3.0948, -1.4473, 0.425, 0.1841],
      [-2.6317, -1.5397, 0.3438, 0.2279],
      [-2.8257, -0.7451, 0.3639, 0.1917],
      [-2.4491, -2.3595, 0.3798, 0.2213],
      [-3.561, -1.6125, 0.4147, 0.1517],
      [-1.454, -0.4767, 0.2798, 0.159],
      [-1.0664, -0.5381, 0.3928, 0.2446],
      [-1.3724, -0.0834, 0.399, 0.126],
      [-0.6418, -2.2307, 0.212, 0.3863],
      [-2.6493, -0.5173, 0.4631, 0.1715],
      [-1.6072, -0.3682, 0.3656, 0.1549],
      [-1.795, -0.4222, 0.4044, 0.1261],
      [-2.7113, -1.2513, 0.2672, 0.174],
      [-2.5971, -1.5891, 0.2655, 0.2628],
      [-1.5538, -2.815, 0.2135, 0.2637],
      [-0.8211, -0.7006, 0.2907, 0.1861],
      [-3.3609, -0.2767, 0.444, 0.1015],
      [-1.0721, 0.2665, 0.3913, 0.144],
      [-1.7961, -0.8716, 0.3805, 0.1903],
      [-0.5157, -0.2738, 0.3634, 0.2415],
      [-0.8078, -0.3076, 0.2725, 0.2333],
      [-2.6105, -0.8175, 0.3729, 0.2032],
      [-2.0412, -0.6341, 0.3655, 0.1504],
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  )
);
  graphType = "Scatter2D",
  scatterType = "vectorfield",
  vectorFieldMode = "raw",
  vectorGroupBy = "Cluster",
  vectorScale = 1.4,
  title = "RNA velocity (embedding)",
  xAxisTitle = "UMAP-1",
  yAxisTitle = "UMAP-2"
)