File:Bluesky Registered Users.svg

此 SVG 檔案的 PNG 預覽的大小：800 × 480 像素。其他解析度：320 × 192 像素 | 1,024 × 614 像素 | 1,280 × 768 像素 | 2,560 × 1,536 像素 | 960 × 576 像素。

原始檔案 ‎（SVG 檔案，表面大小：960 × 576 像素，檔案大小：38 KB）

本檔案並非來自中文維基百科，而是來自維基共享資源。請參閱維基共享資源上的詳細描述、討論頁、頁面歷史、日誌。

維基共享資源是一個儲存自由版權作品的項目。您可以向此項目作出貢獻。

摘要

This file may be updated to reflect new information.
If you wish to use a specific version of the file without new updates being mirrored, please upload the required version as a separate file.

描述

English: This chart depicts the growth of Bluesky, a social network. Data spans May 2023 until January 2024, and shows an increase from 55k to 3.0M users. The chart uses population data from Bluesky API requests rendered into SVG 1.1 using Matplotlib 3.7.2 via Python 3.11.5.

Disclaimer

English: Due to the loss of vqv.app on 2023-11-07, a total of 68 Internet Archive captures across ~70 days from vqv.app/stats/chart, bsky.jazco.dev/stats, and twexit.nl were individually sorted by timestamp, then used to approximate the daily population totals as they would have appeared at the end of each day via linear interpolation. A spreadsheet containing all citations to the relevant Internet Archive captures are available here: Google Sheets. While efforts were made to ensure accuracy, some degree of estimation is inherent in the interpolation process.

日期

2024年一月15日

來源

Bluesky API. Daily population data until 2023-11-07 from https://vqv.app/stats/chart ^{[失效連結]}; Internet Archive for snapshots of user totals from https://bsky.jazco.dev/stats and https://twexit.nl/.

作者

VintageNebula, with data gathered by Eddie Silva, Pedro Borracha, Jaz, and Adraianus

其他版本

此文件取代檔案BlueSky user growth.png。建議使用此檔案，而不是另外一個。

Bahasa Indonesia ∙ davvisámegiella ∙ Deutsch ∙ English ∙ español ∙ français ∙ italiano ∙ magyar ∙ Nederlands ∙ polski ∙ svenska ∙ македонски ∙ മലയാളം ∙ português do Brasil ∙ русский ∙ slovenščina ∙ 日本語 ∙ 中文（简体） ∙ 中文（繁體） ∙ farsi ∙ +/−

這是一張修飾過的圖片，即本圖片是用軟體修改過後的版本，修改的方式或內容有：Generated with MatPlotLib with updated data and vectorized from source data。原版圖片來源：BlueSky user growth.png。修改者：VintageNebula。

SVG開發

本SVG檔案的原始碼通過W3C驗證。

本向量圖形使用Matplotlib創作。

原始碼

Python code

Created using Matplotlib 3.7.2 via Python 3.11.5

# Bluesky Registered Users v1.3 
# Created for Wikimedia Commons; last edited: 2024-01-15

import matplotlib.pyplot as plt
import matplotlib.dates as mdates
from matplotlib.ticker import FixedLocator
from datetime import datetime

'''
The 'data_array' variable holds the population dataset. Each day and value is paired in a list of strings,
formatted as "YYYY-MM-DD, ######", where YYYY-MM-DD is the ISO 8601 date, and ###### is the number of 
existing users at the end of the day listed. Note that values after 2023-11-07 were calculated using
linear interpolation using website captures on the Internet Archive, and are rounded to the nearest 500.
'''
data_array = [
    "2023-05-02, 55570", "2023-05-03, 58119", "2023-05-04, 60909", "2023-05-05, 63362",
    "2023-05-06, 65035", "2023-05-07, 66194", "2023-05-08, 67477", "2023-05-09, 69053",
    "2023-05-10, 70898", "2023-05-11, 72458", "2023-05-12, 74236", "2023-05-13, 76326",
    "2023-05-14, 77472", "2023-05-15, 78972", "2023-05-16, 80328", "2023-05-17, 81682",
    "2023-05-18, 83411", "2023-05-19, 84718", "2023-05-20, 85805", "2023-05-21, 86699",
    "2023-05-22, 87761", "2023-05-23, 89034", "2023-05-24, 90565", "2023-05-25, 92559",
    "2023-05-26, 94625", "2023-05-27, 96395", "2023-05-28, 97927", "2023-05-29, 99408",
    "2023-05-30, 101215", "2023-05-31, 102578", "2023-06-01, 103919", "2023-06-02, 105437",
    "2023-06-03, 106591", "2023-06-04, 107638", "2023-06-05, 108875", "2023-06-06, 110169",
    "2023-06-07, 111989", "2023-06-08, 113673", "2023-06-09, 115868", "2023-06-10, 118019",
    "2023-06-11, 120206", "2023-06-12, 122911", "2023-06-13, 124731", "2023-06-14, 128350",
    "2023-06-15, 131274", "2023-06-16, 133937", "2023-06-17, 136152", "2023-06-18, 137423",
    "2023-06-19, 138780", "2023-06-20, 140016", "2023-06-21, 143093", "2023-06-22, 153451",
    "2023-06-23, 157707", "2023-06-24, 159933", "2023-06-25, 161913", "2023-06-26, 164419",
    "2023-06-27, 169343", "2023-06-28, 174342", "2023-06-29, 179043", "2023-06-30, 184094",
    "2023-07-01, 203365", "2023-07-02, 222026", "2023-07-03, 240687", "2023-07-04, 254189",
    "2023-07-05, 262135", "2023-07-06, 271292", "2023-07-07, 278898", "2023-07-08, 284516",
    "2023-07-09, 287745", "2023-07-10, 291393", "2023-07-11, 294869", "2023-07-12, 299667",
    "2023-07-13, 304946", "2023-07-14, 309949", "2023-07-15, 313683", "2023-07-16, 317209",
    "2023-07-17, 321258", "2023-07-18, 324959", "2023-07-19, 328269", "2023-07-20, 331240",
    "2023-07-21, 335652", "2023-07-22, 340658", "2023-07-23, 347321", "2023-07-24, 370048",
    "2023-07-25, 386014", "2023-07-26, 394662", "2023-07-27, 404693", "2023-07-28, 414773",
    "2023-07-29, 423934", "2023-07-30, 433895", "2023-07-31, 442390", "2023-08-01, 450486",
    "2023-08-02, 458146", "2023-08-03, 472748", "2023-08-04, 487476", "2023-08-05, 499582",
    "2023-08-06, 511605", "2023-08-07, 525141", "2023-08-08, 535769", "2023-08-09, 543286",
    "2023-08-10, 550163", "2023-08-11, 556915", "2023-08-12, 563776", "2023-08-13, 571517",
    "2023-08-14, 581620", "2023-08-15, 591309", "2023-08-16, 601562", "2023-08-17, 611424",
    "2023-08-18, 639033", "2023-08-19, 659173", "2023-08-20, 670671", "2023-08-21, 682208",
    "2023-08-22, 692512", "2023-08-23, 703097", "2023-08-24, 723279", "2023-08-25, 742913",
    "2023-08-26, 758806", "2023-08-27, 768190", "2023-08-28, 777341", "2023-08-29, 788438",
    "2023-08-30, 807753", "2023-08-31, 826957", "2023-09-01, 845340", "2023-09-02, 855268",
    "2023-09-03, 865253", "2023-09-04, 875942", "2023-09-05, 887544", "2023-09-06, 898496",
    "2023-09-07, 913032", "2023-09-08, 933157", "2023-09-09, 952217", "2023-09-10, 968247",
    "2023-09-11, 980472", "2023-09-12, 1001758", "2023-09-13, 1017594", "2023-09-14, 1028614",
    "2023-09-15, 1038289", "2023-09-16, 1046587", "2023-09-17, 1055012", "2023-09-18, 1071682",
    "2023-09-19, 1125267", "2023-09-20, 1157089", "2023-09-21, 1179696", "2023-09-22, 1197915",
    "2023-09-23, 1211413", "2023-09-24, 1223934", "2023-09-25, 1237273", "2023-09-26, 1249557",
    "2023-09-27, 1261156", "2023-09-28, 1272657", "2023-09-29, 1294216", "2023-09-30, 1308941",
    "2023-10-01, 1324469", "2023-10-02, 1343949", "2023-10-03, 1361891", "2023-10-04, 1377805",
    "2023-10-05, 1393473", "2023-10-06, 1410649", "2023-10-07, 1425252", "2023-10-08, 1438074",
    "2023-10-09, 1452503", "2023-10-10, 1470776", "2023-10-11, 1489064", "2023-10-12, 1508389",
    "2023-10-13, 1529182", "2023-10-14, 1543696", "2023-10-15, 1557027", "2023-10-16, 1570787",
    "2023-10-17, 1583493", "2023-10-18, 1618452", "2023-10-19, 1646361", "2023-10-20, 1666281",
    "2023-10-21, 1681299", "2023-10-22, 1694865", "2023-10-23, 1709734", "2023-10-24, 1725184",
    "2023-10-25, 1738664", "2023-10-26, 1750386", "2023-10-27, 1761839", "2023-10-28, 1772651",
    "2023-10-29, 1785693", "2023-10-30, 1799713", "2023-10-31, 1811867", "2023-11-01, 1823445",
    "2023-11-02, 1836704", "2023-11-03, 1850723", "2023-11-04, 1863205", "2023-11-05, 1876044",
    "2023-11-06, 1890622", "2023-11-07, 1902887", "2023-11-08, 1918000", "2023-11-09, 1935000",
    "2023-11-10, 1953000", "2023-11-11, 1973500", "2023-11-12, 1994000", "2023-11-13, 2010500",
    "2023-11-14, 2023500", "2023-11-15, 2038000", "2023-11-16, 2052000", "2023-11-17, 2067500",
    "2023-11-18, 2085000", "2023-11-19, 2103500", "2023-11-20, 2124000", "2023-11-21, 2144500",
    "2023-11-22, 2156000", "2023-11-23, 2170500", "2023-11-24, 2189500", "2023-11-25, 2202500",
    "2023-11-26, 2217000", "2023-11-27, 2229000", "2023-11-28, 2252500", "2023-11-29, 2274500",
    "2023-11-30, 2287000", "2023-12-01, 2318000", "2023-12-02, 2339500", "2023-12-03, 2364000",
    "2023-12-04, 2383500", "2023-12-05, 2402000", "2023-12-06, 2418500", "2023-12-07, 2443500",
    "2023-12-08, 2463500", "2023-12-09, 2484000", "2023-12-10, 2493500", "2023-12-11, 2503000",
    "2023-12-12, 2510500", "2023-12-13, 2523500", "2023-12-14, 2538000", "2023-12-15, 2552500",
    "2023-12-16, 2568000", "2023-12-17, 2585000", "2023-12-18, 2611500", "2023-12-19, 2635000",
    "2023-12-20, 2658500", "2023-12-21, 2690000", "2023-12-22, 2712500", "2023-12-23, 2734500",
    "2023-12-24, 2755500", "2023-12-25, 2773500", "2023-12-26, 2791000", "2023-12-27, 2805000",
    "2023-12-28, 2821500", "2023-12-29, 2838000", "2023-12-30, 2854500", "2023-12-31, 2872000",
    "2024-01-01, 2890000", "2024-01-02, 2904500", "2024-01-03, 2917500", "2024-01-04, 2927500",
    "2024-01-05, 2935500", "2024-01-06, 2943000", "2024-01-07, 2961000", "2024-01-08, 2988500",
    "2024-01-09, 3009500", "2024-01-10, 3017000", "2024-01-11, 3024000", "2024-01-12, 3031500",
    "2024-01-13, 3039000", "2024-01-14, 3044000"
]

# Convert the data point strings to datetime objects.
date_rng = [datetime.strptime(row.split(',')[0].strip('"'), "%Y-%m-%d") for row in data_array]
y_values = [int(row.split(',')[1].strip()) for row in data_array]

# Create an initial plot.
fig, ax = plt.subplots(figsize=(10, 6))

# Plot the main data line and specify its z-order for layering.
ax.plot(date_rng, y_values, zorder=2)

# Add a grid and fill the area under the data line.
ax.grid(True, linestyle="-", linewidth=0.4, alpha=0.4)
ax.fill_between(date_rng, y_values, color="skyblue", alpha=0.4, zorder=1)

# Translators - edit these strings to translate into the desired language.
plt.title("Bluesky - Registered Users")
plt.xlabel("Date (YYYY-MM)")
plt.ylabel("Total Registered Users")

# Set the format for the x-axis to display only the first day of each month (ie. YYYY-MM).
ax.xaxis.set_major_locator(mdates.MonthLocator(bymonthday=1))
ax.xaxis.set_major_formatter(mdates.DateFormatter("%Y-%m"))

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

# Format y-axis labels with commas and set tick locations.
y_ticks = ax.get_yticks()
ax.yaxis.set_major_locator(FixedLocator(y_ticks))
ax.set_yticklabels([f'{int(label):,}' for label in y_ticks])

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

'''
Logic to highlight and label the first day of each month:
     1. Create an empty set to keep track of processed months.
     2. Loop through each date-value pair.
     3. Check if the day is the 1st of the month or if the month hasn't been processed yet.
     4. Place a scatter dot on the first day of the unprocessed month.
     5. Annotate the scatter dot with the corresponding value.
     6. Add the month to the set to avoid processing it again.
'''
months = set()
for date, value in zip(date_rng, y_values):
     if date.day == 1 or 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, 10), ha='center')
          months.add(date.strftime("%Y-%m"))

# Optimize for visibility, then display.
plt.tight_layout()
plt.show()

授權條款

此作品基於公有領域中的作品。它已經過數字增強和/或修改。該衍生作品已（或特此）由其作者VintageNebula發布到公有領域。此授權條款在全世界均適用。

這可能在某些國家不合法，如果是的話：

VintageNebula授予任何人有權利使用此作品於任何用途，除受法律約束外，不受任何限制。

檔案歷史

點選日期/時間以檢視該時間的檔案版本。

	日期/時間	尺寸	用戶	備⁠註
目前	2024年1月15日 (一) 02:40	960 × 576（38 KB）	VintageNebula	Update data to January 2024
	2023年11月6日 (一) 01:50	960 × 576（37 KB）	VintageNebula	Update data to November 2023
	2023年10月9日 (一) 01:44	900 × 540（48 KB）	VintageNebula	Uploaded 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

檔案用途

下列頁面有用到此檔案：

Bluesky

全域檔案使用狀況

以下其他 wiki 使用了這個檔案：

ar.wikipedia.org 的使用狀況
- بلوسکاي
cs.wikipedia.org 的使用狀況
- Wikipedista:Jaroslav Mašek/Pískoviště
- Bluesky
de.wikipedia.org 的使用狀況
- Bluesky
en.wikipedia.org 的使用狀況
- Bluesky (social network)
it.wikipedia.org 的使用狀況
- Bluesky
ru.wikipedia.org 的使用狀況
- Bluesky
uk.wikipedia.org 的使用狀況
- Bluesky

詮釋資料

此檔案中包含擴展的資訊。這些資訊可能是由數位相機或掃描器在建立時或數位化過程中所加入。

如果此檔案的來源檔案已被修改，一些資訊在修改後的檔案中將不能完全反映出來。

寬度	960
高度	576

File:Bluesky Registered Users.svg

摘要

Python code

授權條款

說明

在此檔案描寫的項目

描繪內容

折線圖 ^{繁體中文 (已轉換拼寫)}

參考文獻

著作權狀態 ^{繁體中文 (已轉換拼寫)}

保有知識產權並由其所有者公開於公有領域 ^{繁體中文 (已轉換拼寫)}

特許條款

著作權持有者釋出至公有領域 ^{繁體中文 (已轉換拼寫)}

成立或建立時間

6 10 2023

多媒體型式 ^{繁體中文 (已轉換拼寫)}

image/svg+xml

校驗和 ^{繁體中文 (已轉換拼寫)}

e36046a4f02e617eb799fc69f1922accf91930fe

資料大小 ^{Chinese (Hong Kong) (已轉換拼寫)}

37,672 位元組

高度

576 像素

闊度

960 像素

檔案歷史

檔案用途

全域檔案使用狀況

詮釋資料

摘要

Python code

授權條款

說明

在此檔案描寫的項目

描繪內容

折線圖 繁體中文 (已轉換拼寫)

參考文獻

著作權狀態 繁體中文 (已轉換拼寫)

保有知識產權並由其所有者公開於公有領域 繁體中文 (已轉換拼寫)

特許條款

著作權持有者釋出至公有領域 繁體中文 (已轉換拼寫)

成立或建立時間

6 10 2023

多媒體型式 繁體中文 (已轉換拼寫)

image/svg+xml

校驗和 繁體中文 (已轉換拼寫)

e36046a4f02e617eb799fc69f1922accf91930fe

資料大小 Chinese (Hong Kong) (已轉換拼寫)

37,672 位元組

高度

576 像素

闊度

960 像素

檔案歷史

檔案用途

全域檔案使用狀況

詮釋資料

折線圖 ^{繁體中文 (已轉換拼寫)}

著作權狀態 ^{繁體中文 (已轉換拼寫)}

保有知識產權並由其所有者公開於公有領域 ^{繁體中文 (已轉換拼寫)}

著作權持有者釋出至公有領域 ^{繁體中文 (已轉換拼寫)}

多媒體型式 ^{繁體中文 (已轉換拼寫)}

校驗和 ^{繁體中文 (已轉換拼寫)}

資料大小 ^{Chinese (Hong Kong) (已轉換拼寫)}