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File:Bluesky Registered Users.svg

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原始文件 (SVG文件,尺寸为1,440 × 864像素,文件大小:39 KB)


摘要

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描述
English: This chart depicts the growth of Bluesky, a social network. Data spans November 2022 until July 2024. The chart uses population data from Bluesky API requests rendered into SVG 1.1 using Matplotlib 3.9.0 via Python 3.12.4.
  • x-axis: Date (formatted as YYYY-MM)
  • y-axis: Total Registered Users (existing accounts)
Disclaimer
InfoField
English: Linear interpolation was used from 2024-02-04 to 2024-02-07, and 2024-06-23 to 2024-06-28. While efforts were made to ensure accuracy, some degree of estimation is inherent in the interpolation process.
日期
来源 Bluesky API. Data until 2024-02-03 from Bluesky and the AT Protocol: Usable Decentralized Social Media by Martin Kleppmann, under the CC-BY 4.0 license. Subsequent daily data captured from Stats for Bluesky by Jaz (jaz.bsky.social), supplemented with data from the Internet Archive.
作者 VintageNebula, with data gathered by Jaz (jaz.bsky.social) and Martin Kleppmann.
其他版本
此文件取代文件BlueSky user growth.png  Freedom4U。建议使用此文件,而不是另外一个。

你应该使用这个文件之理由,而不是其他:"Generated with MatPlotLib with updated data and vectorized from source data."

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minor quality
SVG开发
InfoField
 
SVG的源代码为有效代码
 
矢量图使用Matplotlib创作。
源代码
InfoField

Python code

Created using Matplotlib 3.9.0 via Python 3.12.4
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
gen_bsky_pop_graph.py: Generates a graph of the total users on Bluesky in matplotlib using 
preformatted data from various sources.
data_array is formatted in the style of "2024-01-31, 5", where the first element is the ISO-8601 
date, and where the second element is the total population of Bluesky (existing accounts) at the
end of each date listed (ie. at 23:59).
Note that there may be a variance of about +/- 500 users between trackers and data sources. As the
graph grows with time, there may be a need to amend the visibility or frequency of the ticks, 
locators, and data points/labels.
"""
__authors__ = "VintageNebula"
__version__ = "1.4.0"
__date__ = "2024-07-01"
__status__ = "public"
__license__ = "https://creativecommons.org/licenses/by/4.0/"

from datetime import datetime
import matplotlib.pyplot as plt
import matplotlib.dates as mdates
from matplotlib.ticker import FuncFormatter, MultipleLocator

data_array = [
    # The following portion of data is from "Bluesky and the AT Protocol: Usable Decentralized
    # Social Media" by Martin Kleppmann, available at https://arxiv.org/abs/2402.03239. Licensed
    # under a Creative Commons Attribution 4.0 International. For more details, please visit:
    # https://creativecommons.org/licenses/by/4.0/.
    "2022-11-17, 5", "2022-11-18, 10", "2022-11-22, 11", "2022-11-23, 16",
    "2022-11-24, 17", "2022-11-25, 18", "2022-11-26, 20", "2022-11-28, 21",
    "2022-11-29, 23", "2022-11-30, 32", "2022-12-01, 34", "2022-12-06, 35",
    "2022-12-07, 43", "2022-12-11, 44", "2022-12-14, 47", "2022-12-15, 51",
    "2022-12-16, 54", "2022-12-17, 55", "2022-12-18, 60", "2022-12-19, 61",
    "2022-12-26, 62", "2022-12-28, 63", "2023-01-02, 64", "2023-01-04, 71",
    "2023-01-05, 74", "2023-01-08, 75", "2023-01-15, 76", "2023-01-16, 79",
    "2023-01-17, 83", "2023-01-18, 90", "2023-01-19, 102", "2023-01-20, 110",
    "2023-01-21, 124", "2023-01-22, 129", "2023-01-23, 138", "2023-01-24, 150",
    "2023-01-25, 162", "2023-01-26, 171", "2023-01-27, 176", "2023-01-28, 186",
    "2023-01-29, 195", "2023-01-30, 196", "2023-01-31, 200", "2023-02-01, 204",
    "2023-02-02, 208", "2023-02-03, 228", "2023-02-04, 251", "2023-02-05, 259",
    "2023-02-06, 262", "2023-02-07, 271", "2023-02-08, 272", "2023-02-09, 274",
    "2023-02-10, 275", "2023-02-11, 277", "2023-02-12, 279", "2023-02-13, 282",
    "2023-02-15, 289", "2023-02-16, 311", "2023-02-17, 320", "2023-02-18, 333",
    "2023-02-19, 339", "2023-02-20, 342", "2023-02-21, 346", "2023-02-22, 356",
    "2023-02-23, 399", "2023-02-24, 432", "2023-02-25, 480", "2023-02-26, 489",
    "2023-02-27, 589", "2023-02-28, 657", "2023-03-01, 1037", "2023-03-02, 1387",
    "2023-03-03, 1814", "2023-03-04, 2175", "2023-03-05, 2326", "2023-03-06, 2590",
    "2023-03-07, 3012", "2023-03-08, 3321", "2023-03-09, 3530", "2023-03-10, 3650",
    "2023-03-11, 3738", "2023-03-12, 3817", "2023-03-13, 3958", "2023-03-14, 4040",
    "2023-03-15, 4175", "2023-03-16, 4276", "2023-03-17, 4360", "2023-03-18, 4480",
    "2023-03-19, 4542", "2023-03-20, 4582", "2023-03-21, 4677", "2023-03-22, 4769",
    "2023-03-23, 4808", "2023-03-24, 4835", "2023-03-25, 4962", "2023-03-26, 5118",
    "2023-03-27, 5271", "2023-03-28, 5378", "2023-03-29, 5439", "2023-03-30, 5496",
    "2023-03-31, 5529", "2023-04-01, 5557", "2023-04-02, 5578", "2023-04-03, 5591",
    "2023-04-04, 5605", "2023-04-05, 5689", "2023-04-06, 8638", "2023-04-07, 9721",
    "2023-04-08, 10692", "2023-04-09, 11362", "2023-04-10, 12631", "2023-04-11, 16742",
    "2023-04-12, 18918", "2023-04-13, 20113", "2023-04-14, 20879", "2023-04-15, 22430",
    "2023-04-16, 22915", "2023-04-17, 23467", "2023-04-18, 24767", "2023-04-19, 27032",
    "2023-04-20, 29214", "2023-04-21, 31143", "2023-04-22, 32424", "2023-04-23, 33812",
    "2023-04-24, 36111", "2023-04-25, 38685", "2023-04-26, 41019", "2023-04-27, 44898",
    "2023-04-28, 47857", "2023-04-29, 49482", "2023-04-30, 50889", "2023-05-01, 53005",
    "2023-05-02, 55407", "2023-05-03, 57866", "2023-05-04, 60682", "2023-05-05, 62957",
    "2023-05-06, 64488", "2023-05-07, 65603", "2023-05-08, 66991", "2023-05-09, 68692",
    "2023-05-10, 70405", "2023-05-11, 72024", "2023-05-12, 74092", "2023-05-13, 75707",
    "2023-05-14, 76753", "2023-05-15, 78369", "2023-05-16, 79726", "2023-05-17, 81022",
    "2023-05-18, 82391", "2023-05-19, 83675", "2023-05-20, 84743", "2023-05-21, 85637",
    "2023-05-22, 86684", "2023-05-23, 87947", "2023-05-24, 89557", "2023-05-25, 91497",
    "2023-05-26, 93535", "2023-05-27, 95253", "2023-05-28, 96773", "2023-05-29, 98251",
    "2023-05-30, 99987", "2023-05-31, 101338", "2023-06-01, 102654", "2023-06-02, 104158",
    "2023-06-03, 105294", "2023-06-04, 106333", "2023-06-05, 107579", "2023-06-06, 108848",
    "2023-06-07, 110673", "2023-06-08, 112332", "2023-06-09, 114476", "2023-06-10, 116586",
    "2023-06-11, 118734", "2023-06-12, 121434", "2023-06-13, 123227", "2023-06-14, 126806",
    "2023-06-15, 129687", "2023-06-16, 132298", "2023-06-17, 134480", "2023-06-18, 135731",
    "2023-06-19, 137075", "2023-06-20, 138298", "2023-06-21, 141762", "2023-06-22, 151647",
    "2023-06-23, 155776", "2023-06-24, 157947", "2023-06-25, 159946", "2023-06-26, 162409",
    "2023-06-27, 167285", "2023-06-28, 172214", "2023-06-29, 176846", "2023-06-30, 181867",
    "2023-07-01, 200827", "2023-07-03, 238471", "2023-07-04, 251396", "2023-07-05, 259349",
    "2023-07-06, 268928", "2023-07-07, 276477", "2023-07-08, 281645", "2023-07-09, 284877",
    "2023-07-10, 288558", "2023-07-11, 292067", "2023-07-12, 296804", "2023-07-13, 302133",
    "2023-07-14, 307084", "2023-07-15, 310799", "2023-07-16, 314339", "2023-07-17, 318395",
    "2023-07-18, 322076", "2023-07-19, 325355", "2023-07-20, 328298", "2023-07-21, 332764",
    "2023-07-22, 337710", "2023-07-23, 344879", "2023-07-24, 367953", "2023-07-25, 383160",
    "2023-07-26, 391736", "2023-07-27, 401711", "2023-07-28, 411697", "2023-07-29, 420797",
    "2023-07-30, 430719", "2023-07-31, 439198", "2023-08-01, 447195", "2023-08-02, 454872",
    "2023-08-03, 469502", "2023-08-04, 484070", "2023-08-05, 496008", "2023-08-06, 507967",
    "2023-08-07, 521424", "2023-08-08, 531986", "2023-08-09, 539387", "2023-08-10, 546222",
    "2023-08-11, 552927", "2023-08-12, 559759", "2023-08-13, 567581", "2023-08-14, 577712",
    "2023-08-15, 587345", "2023-08-16, 597619", "2023-08-17, 607273", "2023-08-18, 636040",
    "2023-08-19, 654944", "2023-08-20, 666279", "2023-08-21, 677758", "2023-08-22, 688076",
    "2023-08-23, 698621", "2023-08-24, 718741", "2023-08-25, 738193", "2023-08-26, 753897",
    "2023-08-27, 763237", "2023-08-28, 773600", "2023-08-29, 784464", "2023-08-30, 803706",
    "2023-08-31, 822901", "2023-09-01, 841077", "2023-09-02, 850866", "2023-09-03, 860899",
    "2023-09-04, 871627", "2023-09-05, 883238", "2023-09-06, 894014", "2023-09-07, 910577",
    "2023-09-08, 930818", "2023-09-09, 949826", "2023-09-10, 964057", "2023-09-11, 976140",
    "2023-09-12, 996149", "2023-09-13, 1011733", "2023-09-14, 1022749", "2023-09-15, 1032450",
    "2023-09-16, 1040703", "2023-09-17, 1049191", "2023-09-18, 1066408", "2023-09-19, 1119588",
    "2023-09-20, 1151096", "2023-09-21, 1173578", "2023-09-22, 1192489", "2023-09-23, 1205909",
    "2023-09-24, 1218449", "2023-09-25, 1231713", "2023-09-26, 1243960", "2023-09-27, 1255542",
    "2023-09-28, 1267029", "2023-09-29, 1288560", "2023-09-30, 1303208", "2023-10-01, 1318732",
    "2023-10-02, 1338100", "2023-10-03, 1355993", "2023-10-04, 1371872", "2023-10-05, 1387490",
    "2023-10-06, 1404672", "2023-10-07, 1419179", "2023-10-08, 1432002", "2023-10-09, 1446443",
    "2023-10-10, 1464752", "2023-10-11, 1482973", "2023-10-12, 1502252", "2023-10-13, 1522928",
    "2023-10-14, 1537435", "2023-10-15, 1550713", "2023-10-16, 1564478", "2023-10-17, 1577280",
    "2023-10-18, 1612246", "2023-10-19, 1640119", "2023-10-20, 1659872", "2023-10-21, 1674837",
    "2023-10-22, 1688403", "2023-10-23, 1703251", "2023-10-24, 1718698", "2023-10-25, 1732165",
    "2023-10-26, 1744019", "2023-10-27, 1755474", "2023-10-28, 1766314", "2023-10-29, 1779457",
    "2023-10-30, 1793435", "2023-10-31, 1805583", "2023-11-01, 1817179", "2023-11-02, 1830511",
    "2023-11-03, 1844526", "2023-11-04, 1857052", "2023-11-05, 1869838", "2023-11-06, 1884462",
    "2023-11-07, 1898650", "2023-11-08, 1910725", "2023-11-09, 1928932", "2023-11-10, 1947029",
    "2023-11-11, 1966765", "2023-11-12, 1986704", "2023-11-13, 2004950", "2023-11-14, 2015617",
    "2023-11-15, 2031851", "2023-11-16, 2048265", "2023-11-17, 2059696", "2023-11-18, 2078645",
    "2023-11-19, 2097062", "2023-11-20, 2117378", "2023-11-21, 2137926", "2023-11-22, 2151768",
    "2023-11-23, 2166409", "2023-11-24, 2182847", "2023-11-25, 2198920", "2023-11-26, 2212001",
    "2023-11-27, 2222298", "2023-11-28, 2245777", "2023-11-29, 2268580", "2023-11-30, 2280482",
    "2023-12-01, 2311151", "2023-12-02, 2333666", "2023-12-03, 2358166", "2023-12-04, 2382393",
    "2023-12-05, 2392344", "2023-12-06, 2412926", "2023-12-07, 2435814", "2023-12-08, 2458257",
    "2023-12-09, 2478499", "2023-12-10, 2487967", "2023-12-11, 2497384", "2023-12-12, 2505149",
    "2023-12-13, 2523938", "2023-12-14, 2532879", "2023-12-15, 2547664", "2023-12-16, 2565342",
    "2023-12-17, 2585309", "2023-12-18, 2607200", "2023-12-19, 2637705", "2023-12-20, 2654818",
    "2023-12-21, 2686305", "2023-12-22, 2704740", "2023-12-23, 2730707", "2023-12-24, 2752527",
    "2023-12-25, 2768380", "2023-12-26, 2787860", "2023-12-27, 2801853", "2023-12-28, 2815299",
    "2023-12-29, 2831920", "2023-12-30, 2851550", "2023-12-31, 2869398", "2024-01-01, 2889718",
    "2024-01-02, 2902171", "2024-01-03, 2915287", "2024-01-04, 2925511", "2024-01-05, 2934089",
    "2024-01-06, 2941155", "2024-01-07, 2960571", "2024-01-08, 2990248", "2024-01-09, 3008387",
    "2024-01-10, 3018955", "2024-01-11, 3026679", "2024-01-12, 3032916", "2024-01-13, 3038113",
    "2024-01-14, 3042987", "2024-01-15, 3047598", "2024-01-16, 3052120", "2024-01-17, 3056502",
    "2024-01-18, 3061184", "2024-01-19, 3065586", "2024-01-20, 3069868", "2024-01-21, 3074261",
    "2024-01-22, 3078572", "2024-01-23, 3082541", "2024-01-24, 3085972", "2024-01-25, 3089017",
    "2024-01-26, 3091891", "2024-01-27, 3094422", "2024-01-28, 3097124", "2024-01-29, 3100356",
    "2024-01-30, 3107039", "2024-01-31, 3121850", "2024-02-01, 3140008", "2024-02-02, 3154479",
    "2024-02-03, 3168299",
    # End of data supplied by Martin Kleppmann.
    # Missing data approximated using linear interpolation, Internet Archive.
    "2024-02-04, 3187980", "2024-02-05, 3207661", "2024-02-06, 3433226", "2024-02-07, 4088025",
    # Beginning of data gathered by jaz.bsky.social
    "2024-02-08, 4432203", "2024-02-09, 4570216", "2024-02-10, 4666798", "2024-02-11, 4757049",
    "2024-02-12, 4811068", "2024-02-13, 4849070", "2024-02-14, 4858312", "2024-02-15, 4881705",
    "2024-02-16, 4899886", "2024-02-17, 4916721", "2024-02-18, 4935407", "2024-02-19, 4952084",
    "2024-02-20, 4971871", "2024-02-21, 4991745", "2024-02-22, 5006053", "2024-02-23, 5019561",
    "2024-02-24, 5031247", "2024-02-25, 5044627", "2024-02-26, 5056553", "2024-02-27, 5067960",
    "2024-02-28, 5078594", "2024-02-29, 5090025", "2024-03-01, 5099009", "2024-03-02, 5107586",
    "2024-03-03, 5115734", "2024-03-04, 5123650", "2024-03-05, 5131674", "2024-03-06, 5139313",
    "2024-03-07, 5146813", "2024-03-08, 5154932", "2024-03-09, 5163543", "2024-03-10, 5171848",
    "2024-03-11, 5179454", "2024-03-12, 5187322", "2024-03-13, 5194968", "2024-03-14, 5203210",
    "2024-03-15, 5210243", "2024-03-16, 5216048", "2024-03-17, 5221716", "2024-03-18, 5226977",
    "2024-03-19, 5232757", "2024-03-20, 5239602", "2024-03-21, 5245770", "2024-03-22, 5251049",
    "2024-03-23, 5257039", "2024-03-24, 5262910", "2024-03-25, 5269076", "2024-03-26, 5274974",
    "2024-03-27, 5280278", "2024-03-28, 5286136", "2024-03-29, 5291439", "2024-03-30, 5296232",
    "2024-03-31, 5301249", "2024-04-01, 5305827", "2024-04-02, 5311023", "2024-04-03, 5316212",
    "2024-04-04, 5321206", "2024-04-05, 5325976", "2024-04-06, 5330463", "2024-04-07, 5372537",
    "2024-04-08, 5407180", "2024-04-09, 5421651", "2024-04-10, 5437582", "2024-04-11, 5455018",
    "2024-04-12, 5471866", "2024-04-13, 5489161", "2024-04-14, 5502621", "2024-04-15, 5511857",
    "2024-04-16, 5525560", "2024-04-17, 5533684", "2024-04-18, 5538455", "2024-04-19, 5542777",
    "2024-04-20, 5547038", "2024-04-21, 5551055", "2024-04-22, 5554821", "2024-04-23, 5558553",
    "2024-04-24, 5562221", "2024-04-25, 5565822", "2024-04-26, 5569364", "2024-04-27, 5572730",
    "2024-04-28, 5576184", "2024-04-29, 5580941", "2024-04-30, 5585312", "2024-05-01, 5589425",
    "2024-05-02, 5592993", "2024-05-03, 5596264", "2024-05-04, 5599579", "2024-05-05, 5602813",
    "2024-05-06, 5606518", "2024-05-07, 5609813", "2024-05-08, 5613117", "2024-05-09, 5616648",
    "2024-05-10, 5619937", "2024-05-11, 5623224", "2024-05-12, 5626214", "2024-05-13, 5629117",
    "2024-05-14, 5631856", "2024-05-15, 5634855", "2024-05-16, 5637786", "2024-05-17, 5640573",
    "2024-05-18, 5643671", "2024-05-19, 5646611", "2024-05-20, 5649426", "2024-05-21, 5652726",
    "2024-05-22, 5656077", "2024-05-23, 5660160", "2024-05-24, 5663423", "2024-05-25, 5666586",
    "2024-05-26, 5669773", "2024-05-27, 5674338", "2024-05-28, 5677825", "2024-05-29, 5681494",
    "2024-05-30, 5685029", "2024-05-31, 5695026", "2024-06-01, 5698531", "2024-06-02, 5701877",
    "2024-06-03, 5705411", "2024-06-04, 5708717", "2024-06-05, 5711829", "2024-06-06, 5714625",
    "2024-06-07, 5717341", "2024-06-08, 5804310", "2024-06-09, 5822411", "2024-06-10, 5829823",
    "2024-06-11, 5839512", "2024-06-12, 5856822", "2024-06-13, 5880617", "2024-06-14, 5890794",
    "2024-06-15, 5910786", "2024-06-16, 5924338", "2024-06-17, 5932536", "2024-06-18, 5938768",
    "2024-06-19, 5944088", "2024-06-20, 5948423", "2024-06-21, 5952514", "2024-06-22, 5956543",
    # Missing data approximated using linear interpolation.
    "2024-06-23, 5960099", "2024-06-24, 5963655", "2024-06-25, 5967211", "2024-06-26, 5970766",
    "2024-06-27, 5974322", "2024-06-28, 5977878",
    # Continuing data gathered by jaz.bsky.social.
    "2024-06-29, 5981434", "2024-06-30, 5984675", "2024-07-01, 5988217"
]

# Parse dates and values from the data array.
date_rng = [datetime.strptime(row.split(',')[0].strip(), "%Y-%m-%d") for row in data_array]
y_values = [int(row.split(',')[1].replace(',', '').strip()) for row in data_array]

# Create an initial plot, set the figure size.
fig, ax = plt.subplots(figsize=(15, 9))

# Plot the main data line.
ax.plot(date_rng, y_values, zorder=2)
ax.fill_between(date_rng, y_values, color="skyblue", alpha=0.4, zorder=1)

# Set the major and minor locators for x-axis; only show odd months (to avoid crowding)
ax.xaxis.set_major_locator(mdates.MonthLocator(bymonth=[1, 3, 5, 7, 9, 11]))
ax.xaxis.set_minor_locator(mdates.MonthLocator())
ax.xaxis.set_major_formatter(mdates.DateFormatter("%Y-%m"))

# Set the major and minor locators for y-axis.
ax.yaxis.set_major_locator(MultipleLocator(1000000))  # Major ticks every 1,000,000
ax.yaxis.set_minor_locator(MultipleLocator(500000))  # Minor ticks every 500,000

# Format y-axis labels with commas (,) for large numbers.
ax.yaxis.set_major_formatter(FuncFormatter(lambda x, _: f'{int(x):,}'))

# Set ticks inside the plot and also on the opposite side, set axis label font size.
ax.tick_params(axis='x', which='both', direction='in', top=True)
ax.tick_params(axis='y', which='both', direction='in', right=True)
ax.tick_params(axis='both', which='major', labelsize=12)

# Make sure y-axis starts at 0.
ax.set_ylim(bottom=0)

# Enable background grid.
ax.grid(True, linestyle=":", linewidth=0.5)

# Hide y-axis offset number (1e6, etc.)
ax.yaxis.offsetText.set_visible(False)

# Highlight and label the first data point of each month.
months = set()
for date, value in zip(date_rng, y_values):
    if date.strftime("%Y-%m") not in months:
        ax.scatter(date, value, color='C0', marker='o', alpha=1, zorder=3)
        ax.annotate(f'{value:,}', (date, value), textcoords="offset points",
                    xytext=(0, 5), ha='center', fontsize=10)  # Smaller font size for annotations
        months.add(date.strftime("%Y-%m"))

# Adjust layout and output plot.
plt.tight_layout()
plt.show()

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署名: VintageNebula, with data gathered by Jaz (jaz.bsky.social) and Martin Kleppmann
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Line chart depicting the growth of Bluesky, a social platform, from November 2022 to July 2024.

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当前2024年7月2日 (二) 13:012024年7月2日 (二) 13:01版本的缩略图1,440 × 864(39 KB)VintageNebulaUpdate data to July 2024; add additional older data, tweak graph format
2024年1月15日 (一) 02:402024年1月15日 (一) 02:40版本的缩略图960 × 576(38 KB)VintageNebulaUpdate data to January 2024
2023年11月6日 (一) 01:502023年11月6日 (一) 01:50版本的缩略图960 × 576(37 KB)VintageNebulaUpdate data to November 2023
2023年10月9日 (一) 01:442023年10月9日 (一) 01:44版本的缩略图900 × 540(48 KB)VintageNebulaUploaded a work by Data compiled by m3ta.uk (Pedro) and vqv.app (Eddie). Chart created by VintageNebula (myself). from Data was obtained from requests to the public-facing Bluesky API, which were archived and rendered for display at https://vqv.app/stats/chart. Chart generated using the archived Bluesky API data created by VintageNebula (myself) using Matplotlib. with UploadWizard

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