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Weak Signal Plots

WSPR, JT65, JT9 and other weak signal modes: read, analyze, plot data. Minimalistic. Right now, the emphasis is on expressing expected ranges of SNR/Hz/Watt, binned by range (groundwave, NVIS, DX) and local time for each frequency band (3 MHz, 5 MHz, etc.). This helps understand what is feasible for general NVIS communications systems referenced to narrowband weak signal modes such as WSPR.

image

The swarm plot gives a sense of how many samples are at a given configuration--if the maximum width is reached, then you know there are at least N measurements for that result.

image

The box plot give the traditional sense of distribution of variables--here also versus dawn/morning/afternoon/dusk and distance bins.

  • MaxSig: plots maximum signal on a frequency vs. distance "What's the strongest I'm heard at a distance and frequency?"
  • MapSig: plots stations and midpoint science quantities

Install

pip install -e .

Data Formats

The program automatically decides based on the file extension how to decode the file.

.csv format

This format is inside each monthly WSPR log file.

.tsv format

Copy and paste (from your web browser) a WSPRnet database query result. Query with TX and RX callsign set to your callsign.

About

WSPR, JT65, JT9 and other weak signal modes: read, analyze, plot data. Minimalistic.

Topics

hamsciionospherejt65matplotlibwspr

Resources

Readme
License

Code of conduct

Code of conduct

Contributing

Contributing
Activity
Custom properties

Stars

2 stars

Watchers

1 watching

Forks

1 fork
Report repository

Releases

Sponsor this project

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

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Weak Signal Plots
WSPR, JT65, JT9 and other weak signal modes: read, analyze, plot data.
Minimalistic.
Right now, the emphasis is on expressing expected ranges of SNR/Hz/Watt, binned by range (groundwave, NVIS, DX) and local time for each frequency band (3 MHz, 5 MHz, etc.).
This helps understand what is feasible for general NVIS communications systems referenced to narrowband weak signal modes such as WSPR.
image
The swarm plot gives a sense of how many samples are at a given
configuration--if the maximum width is reached, then you know there are
at least N measurements for that result.
image
The box plot give the traditional sense of distribution of
variables--here also versus dawn/morning/afternoon/dusk and distance
bins.
  • MaxSig: plots maximum signal on a frequency vs. distance "What's the strongest I'm heard at a distance and frequency?"
  • MapSig: plots stations and midpoint science quantities
Install
pip install -e .

Data Formats
The program automatically decides based on the file extension how to decode the file.
.csv format
This format is inside each monthly WSPR log file.
.tsv format
Copy and paste (from your web browser) a WSPRnet database query result.
Query with TX and RX callsign set to your callsign.
About
WSPR, JT65, JT9 and other weak signal modes: read, analyze, plot data. Minimalistic.
Topics
hamsciionospherejt65matplotlibwspr
Resources
Readme
License
Code of conduct
Code of conduct
Contributing
Contributing
Activity
Custom properties
Stars
2 stars
Watchers
1 watching
Forks
1 fork
Report repository
Releases
Sponsor this project
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content

This repository was archived by the owner on Aug 11, 2022. It is now read-only.

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Weak Signal Plots
WSPR, JT65, JT9 and other weak signal modes: read, analyze, plot data.
Minimalistic.
Right now, the emphasis is on expressing expected ranges of SNR/Hz/Watt, binned by range (groundwave, NVIS, DX) and local time for each frequency band (3 MHz, 5 MHz, etc.).
This helps understand what is feasible for general NVIS communications systems referenced to narrowband weak signal modes such as WSPR.
image
The swarm plot gives a sense of how many samples are at a given
configuration--if the maximum width is reached, then you know there are
at least N measurements for that result.
image
The box plot give the traditional sense of distribution of
variables--here also versus dawn/morning/afternoon/dusk and distance
bins.
  • MaxSig: plots maximum signal on a frequency vs. distance "What's the strongest I'm heard at a distance and frequency?"
  • MapSig: plots stations and midpoint science quantities
Install
pip install -e .

Data Formats
The program automatically decides based on the file extension how to decode the file.
.csv format
This format is inside each monthly WSPR log file.
.tsv format
Copy and paste (from your web browser) a WSPRnet database query result.
Query with TX and RX callsign set to your callsign.
About
WSPR, JT65, JT9 and other weak signal modes: read, analyze, plot data. Minimalistic.
Topics
hamsciionospherejt65matplotlibwspr
Resources
Readme
License
Code of conduct
Code of conduct
Contributing
Contributing
Activity
Custom properties
Stars
2 stars
Watchers
1 watching
Forks
1 fork
Report repository
Releases
Sponsor this project
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content

This repository was archived by the owner on Aug 11, 2022. It is now read-only.

BranchesTags
Repository files navigation
Weak Signal Plots
WSPR, JT65, JT9 and other weak signal modes: read, analyze, plot data.
Minimalistic.
Right now, the emphasis is on expressing expected ranges of SNR/Hz/Watt, binned by range (groundwave, NVIS, DX) and local time for each frequency band (3 MHz, 5 MHz, etc.).
This helps understand what is feasible for general NVIS communications systems referenced to narrowband weak signal modes such as WSPR.
image
The swarm plot gives a sense of how many samples are at a given
configuration--if the maximum width is reached, then you know there are
at least N measurements for that result.
image
The box plot give the traditional sense of distribution of
variables--here also versus dawn/morning/afternoon/dusk and distance
bins.
  • MaxSig: plots maximum signal on a frequency vs. distance "What's the strongest I'm heard at a distance and frequency?"
  • MapSig: plots stations and midpoint science quantities
Install
pip install -e .

Data Formats
The program automatically decides based on the file extension how to decode the file.
.csv format
This format is inside each monthly WSPR log file.
.tsv format
Copy and paste (from your web browser) a WSPRnet database query result.
Query with TX and RX callsign set to your callsign.
About
WSPR, JT65, JT9 and other weak signal modes: read, analyze, plot data. Minimalistic.
Topics
hamsciionospherejt65matplotlibwspr
Resources
Readme
License
Code of conduct
Code of conduct
Contributing
Contributing
Activity
Custom properties
Stars
2 stars
Watchers
1 watching
Forks
1 fork
Report repository
Releases
Sponsor this project
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

Skip to content

This repository was archived by the owner on Aug 11, 2022. It is now read-only.

BranchesTags
Repository files navigation
Weak Signal Plots
WSPR, JT65, JT9 and other weak signal modes: read, analyze, plot data.
Minimalistic.
Right now, the emphasis is on expressing expected ranges of SNR/Hz/Watt, binned by range (groundwave, NVIS, DX) and local time for each frequency band (3 MHz, 5 MHz, etc.).
This helps understand what is feasible for general NVIS communications systems referenced to narrowband weak signal modes such as WSPR.
image
The swarm plot gives a sense of how many samples are at a given
configuration--if the maximum width is reached, then you know there are
at least N measurements for that result.
image
The box plot give the traditional sense of distribution of
variables--here also versus dawn/morning/afternoon/dusk and distance
bins.
  • MaxSig: plots maximum signal on a frequency vs. distance "What's the strongest I'm heard at a distance and frequency?"
  • MapSig: plots stations and midpoint science quantities
Install
pip install -e .

Data Formats
The program automatically decides based on the file extension how to decode the file.
.csv format
This format is inside each monthly WSPR log file.
.tsv format
Copy and paste (from your web browser) a WSPRnet database query result.
Query with TX and RX callsign set to your callsign.
About
WSPR, JT65, JT9 and other weak signal modes: read, analyze, plot data. Minimalistic.
Topics
hamsciionospherejt65matplotlibwspr
Resources
Readme
License
Code of conduct
Code of conduct
Contributing
Contributing
Activity
Custom properties
Stars
2 stars
Watchers
1 watching
Forks
1 fork
Report repository
Releases
Sponsor this project
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content

This repository was archived by the owner on Aug 11, 2022. It is now read-only.

BranchesTags
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Weak Signal Plots
WSPR, JT65, JT9 and other weak signal modes: read, analyze, plot data.
Minimalistic.
Right now, the emphasis is on expressing expected ranges of SNR/Hz/Watt, binned by range (groundwave, NVIS, DX) and local time for each frequency band (3 MHz, 5 MHz, etc.).
This helps understand what is feasible for general NVIS communications systems referenced to narrowband weak signal modes such as WSPR.
image
The swarm plot gives a sense of how many samples are at a given
configuration--if the maximum width is reached, then you know there are
at least N measurements for that result.
image
The box plot give the traditional sense of distribution of
variables--here also versus dawn/morning/afternoon/dusk and distance
bins.
  • MaxSig: plots maximum signal on a frequency vs. distance "What's the strongest I'm heard at a distance and frequency?"
  • MapSig: plots stations and midpoint science quantities
Install
pip install -e .

Data Formats
The program automatically decides based on the file extension how to decode the file.
.csv format
This format is inside each monthly WSPR log file.
.tsv format
Copy and paste (from your web browser) a WSPRnet database query result.
Query with TX and RX callsign set to your callsign.
About
WSPR, JT65, JT9 and other weak signal modes: read, analyze, plot data. Minimalistic.
Topics
hamsciionospherejt65matplotlibwspr
Resources
Readme
License
Code of conduct
Code of conduct
Contributing
Contributing
Activity
Custom properties
Stars
2 stars
Watchers
1 watching
Forks
1 fork
Report repository
Releases
Sponsor this project
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content

This repository was archived by the owner on Aug 11, 2022. It is now read-only.

BranchesTags
Repository files navigation
Weak Signal Plots
WSPR, JT65, JT9 and other weak signal modes: read, analyze, plot data.
Minimalistic.
Right now, the emphasis is on expressing expected ranges of SNR/Hz/Watt, binned by range (groundwave, NVIS, DX) and local time for each frequency band (3 MHz, 5 MHz, etc.).
This helps understand what is feasible for general NVIS communications systems referenced to narrowband weak signal modes such as WSPR.
image
The swarm plot gives a sense of how many samples are at a given
configuration--if the maximum width is reached, then you know there are
at least N measurements for that result.
image
The box plot give the traditional sense of distribution of
variables--here also versus dawn/morning/afternoon/dusk and distance
bins.
  • MaxSig: plots maximum signal on a frequency vs. distance "What's the strongest I'm heard at a distance and frequency?"
  • MapSig: plots stations and midpoint science quantities
Install
pip install -e .

Data Formats
The program automatically decides based on the file extension how to decode the file.
.csv format
This format is inside each monthly WSPR log file.
.tsv format
Copy and paste (from your web browser) a WSPRnet database query result.
Query with TX and RX callsign set to your callsign.
About
WSPR, JT65, JT9 and other weak signal modes: read, analyze, plot data. Minimalistic.
Topics
hamsciionospherejt65matplotlibwspr
Resources
Readme
License
Code of conduct
Code of conduct
Contributing
Contributing
Activity
Custom properties
Stars
2 stars
Watchers
1 watching
Forks
1 fork
Report repository
Releases
Sponsor this project
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

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This repository was archived by the owner on Aug 11, 2022. It is now read-only.

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Weak Signal Plots
WSPR, JT65, JT9 and other weak signal modes: read, analyze, plot data.
Minimalistic.
Right now, the emphasis is on expressing expected ranges of SNR/Hz/Watt, binned by range (groundwave, NVIS, DX) and local time for each frequency band (3 MHz, 5 MHz, etc.).
This helps understand what is feasible for general NVIS communications systems referenced to narrowband weak signal modes such as WSPR.
image
The swarm plot gives a sense of how many samples are at a given
configuration--if the maximum width is reached, then you know there are
at least N measurements for that result.
image
The box plot give the traditional sense of distribution of
variables--here also versus dawn/morning/afternoon/dusk and distance
bins.
  • MaxSig: plots maximum signal on a frequency vs. distance "What's the strongest I'm heard at a distance and frequency?"
  • MapSig: plots stations and midpoint science quantities
Install
pip install -e .

Data Formats
The program automatically decides based on the file extension how to decode the file.
.csv format
This format is inside each monthly WSPR log file.
.tsv format
Copy and paste (from your web browser) a WSPRnet database query result.
Query with TX and RX callsign set to your callsign.
About
WSPR, JT65, JT9 and other weak signal modes: read, analyze, plot data. Minimalistic.
Topics
hamsciionospherejt65matplotlibwspr
Resources
Readme
License
Code of conduct
Code of conduct
Contributing
Contributing
Activity
Custom properties
Stars
2 stars
Watchers
1 watching
Forks
1 fork
Report repository
Releases
Sponsor this project
Used by
Contributors
Languages