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Deployed e94e500 to 4.10 with MkDocs 1.6.1 and mike 2.1.3
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4.10/advanced_settings/available_settings/index.html
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Parameter,Type,Default,Description | ||
``correlations.auto.calculate``,boolean,``True``,"Whether to compute 'auto' correlation" | ||
``correlations.auto.warn_high_correlations``,boolean,``True``,"Show warning for correlations higher than the threshold" | ||
``correlations.auto.threshold``,float,0.9,"Warning threshold" | ||
``correlations.pearson.calculate``,boolean,``False``,"Whether to calculate Pearson correlation" | ||
``correlations.pearson.warn_high_correlations``,boolean,``True``,"Show warning for correlations higher than the threshold" | ||
``correlations.pearson.threshold``,float,0.9,"Warning threshold" | ||
``correlations.spearman.calculate``,boolean,``False``,"Whether to calculate Spearman correlation" | ||
``correlations.spearman.warn_high_correlations``,boolean,``False``,"Show warning for correlations higher than the threshold" | ||
``correlations.spearman.threshold``,float,0.9,"Warning threshold" | ||
``correlations.kendall.calculate``,boolean,``False``,"Whether to calculate Kendall rank correlation" | ||
``correlations.kendall.warn_high_correlations``,boolean,``False``,"Show warning for correlations higher than the threshold" | ||
``correlations.kendall.threshold``,float,0.9,"Warning threshold" | ||
``correlations.phi_k.calculate``,boolean,``False``,"Whether to calculate Phi K correlation" | ||
``correlations.phi_k.warn_high_correlations``,boolean,``False``,"Show warning for correlations higher than the threshold" | ||
``correlations.phi_k.threshold``,float,0.9,"Warning threshold" | ||
``correlations.cramers.calculate``,boolean,``False``,"Whether to calculate Cramer's V association coefficient" | ||
``correlations.cramers.warn_high_correlations``,boolean,``True``,"Show warning for correlations higher than the threshold" | ||
``correlations.cramers.threshold``,float,0.9,"Warning threshold" |
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Parameter,Type,Default,Description | ||
``title``,string,"Pandas Profiling Report","Title for the report, shown in the header and title bar." | ||
``pool_size``,integer,0,"Number of workers in thread pool. When set to zero, it is set to the number of CPUs available." | ||
``progress_bar``,boolean,``True``,"If ``True``, ``ydata-profiling`` will display a progress bar." |
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Parameter,Type,Default,Description | ||
``html.minify_html``,bool,``True``,"If ``True``, the output HTML is minified using the ``htmlmin`` package." | ||
``html.use_local_assets``,bool,``True``,"If ``True``, all assets (stylesheets, scripts, images) are stored locally. If ``False``, a CDN is used for some stylesheets and scripts." | ||
``html.inline``,boolean,``True``,"If ``True``, all assets are contained in the report. If ``False``, then a web export is created, where all assets are stored in the '[REPORT_NAME]_assets/' directory." | ||
``html.navbar_show``,boolean,``True``,"Whether to include a navigation bar in the report" | ||
``html.style.theme``,string,``None``,"Select a *bootswatch* theme. Available options: *flatly* (dark) and *united* (orange)" | ||
``html.style.logo``,string,"","A base64 encoded logo, to display in the navigation bar." | ||
``html.style.primary_color``,string,"*#337ab7*","The primary color to use in the report." | ||
``html.style.full_width``,boolean,``False``,"By default, the width of the report is fixed. If set to ``True``, the full width of the screen is used." |
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Parameter,Type,Default,Description | ||
``interactions.continuous``,boolean,``True``,"Generate a 2D scatter plot (or hexagonal binned plot) for all continuous variable pairs." | ||
``interactions.targets``,list,[],"When a list of variable names is given, only interactions between these and all other variables are computed." |
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Parameter,Type,Default,Description | ||
``missing_diagrams.bar``,boolean,``True``,"Display a bar chart with counts of missing values for each column." | ||
``missing_diagrams.matrix``,boolean,``True``,"Display a matrix of missing values. Similar to the bar chart, but might provide overview of the co-occurrence of missing values in rows." | ||
``missing_diagrams.heatmap``,boolean,``True``,"Display a heatmap of missing values, that measures nullity correlation (i.e. how strongly the presence or absence of one variable affects the presence of another)." |
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Parameter,Type,Default,Description | ||
``sort``,"None, asc or desc",None,"Sort the variables *asc* (ending), *desc* (ending) or *None* (leaves original sorting)." | ||
``variables.descriptions``,dict,{},"Ability to display a description alongside the descriptive statistics of each variable ({'var_name': 'Description'})." | ||
``vars.num.quantiles``,list[float],"[0.05,0.25,0.5,0.75,0.95]","The quantiles to calculate. Note that .25, .5 and .75 are required for the computation of other metrics (median and IQR)." | ||
``vars.num.skewness_threshold``,integer,20,"Warn if the skewness is above this threshold." | ||
``vars.num.low_categorical_threshold``,integer,5,"If the number of distinct values is smaller than this number, then the series is considered to be categorical. Set to 0 to disable." | ||
``vars.num.chi_squared_threshold``,float,0.999,"Set to 0 to disable chi-squared calculation." | ||
``vars.cat.length``,boolean,``True``,"Check the string length and aggregate values (min, max, mean, media)." | ||
``vars.cat.characters``,boolean,``False``,"Check the distribution of characters and their Unicode properties. Often informative, but may be computationally expensive." | ||
``vars.cat.words``,boolean,``False``,"Check the distribution of words. Often informative, but may be computationally expensive." | ||
``vars.cat.cardinality_threshold``,integer,50,"Warn if the number of distinct values is above this threshold." | ||
``vars.cat.imbalance_threshold``,float,0.5,"Warn if the imbalance score is above this threshold." | ||
``vars.cat.n_obs``,integer,5,"Display this number of observations." | ||
``vars.cat.chi_squared_threshold``,float,0.999,"Same as above, but for categorical variables." | ||
``vars.bool.n_obs``,integer,3,"Same as above, but for boolean variables." | ||
``vars.bool.imbalance_threshold``,float,0.5,"Warn if the imbalance score is above this threshold." |
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Parameter,Description | ||
``auto``,"Calculates the column pairwise correlation depending on the type schema: | ||
- numerical to numerical variable: Spearman correlation coefficient | ||
- categorical to categorical variable: Cramer's V association coefficient | ||
- numerical to categorical: Cramer's V association coefficient with the numerical variable discretized automatically " | ||
``spearman``,Spearman's correlation measures the strength and direction of monotonic association between two variables. Great to evaluate the strength of the relation between categorical or ordinal variables. | ||
``pearson``,The Pearson correlation coefficient is the most common way of measuring a linear correlation. It is a number between –1 and 1 that measures the strength and direction of the relationship between two variables. | ||
``kendall``,Kendall rank correlation coefficient is a statistic used to measure the ordinal association between two measured quantities. Kendall's is often used when data doesn't meet one of the requirements of Pearson's correlation. | ||
``phi_k``,Phi K is especially suitable for working with mixed-type variables. Using this coefficient we can find (un)expected correlation and evaluate their statistical significance. | ||
``cramers``,Cramers is a correlation matrix that is commonly used to examine the association between categorical variables when there is more than 2x2 contingency. |
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/* Avoid breaking parameter names, etc. in table cells. */ | ||
.doc-contents td code { | ||
word-break: normal !important; | ||
} | ||
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/* No line break before first paragraph of descriptions. */ | ||
.doc-md-description, | ||
.doc-md-description>p:first-child { | ||
display: inline; | ||
} | ||
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/* Max width for docstring sections tables. */ | ||
.doc .md-typeset__table, | ||
.doc .md-typeset__table table { | ||
display: table !important; | ||
width: 100%; | ||
} | ||
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.doc .md-typeset__table tr { | ||
display: table-row; | ||
} | ||
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/* Defaults in Spacy table style. */ | ||
.doc-param-default { | ||
float: right; | ||
} | ||
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/* Backward-compatibility: docstring section titles in bold. */ | ||
.doc-section-title { | ||
font-weight: bold; | ||
} | ||
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/* Symbols in Navigation and ToC. */ | ||
:root, | ||
[data-md-color-scheme="default"] { | ||
--doc-symbol-attribute-fg-color: #953800; | ||
--doc-symbol-function-fg-color: #8250df; | ||
--doc-symbol-method-fg-color: #8250df; | ||
--doc-symbol-class-fg-color: #0550ae; | ||
--doc-symbol-module-fg-color: #5cad0f; | ||
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--doc-symbol-attribute-bg-color: #9538001a; | ||
--doc-symbol-function-bg-color: #8250df1a; | ||
--doc-symbol-method-bg-color: #8250df1a; | ||
--doc-symbol-class-bg-color: #0550ae1a; | ||
--doc-symbol-module-bg-color: #5cad0f1a; | ||
} | ||
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[data-md-color-scheme="slate"] { | ||
--doc-symbol-attribute-fg-color: #ffa657; | ||
--doc-symbol-function-fg-color: #d2a8ff; | ||
--doc-symbol-method-fg-color: #d2a8ff; | ||
--doc-symbol-class-fg-color: #79c0ff; | ||
--doc-symbol-module-fg-color: #baff79; | ||
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--doc-symbol-attribute-bg-color: #ffa6571a; | ||
--doc-symbol-function-bg-color: #d2a8ff1a; | ||
--doc-symbol-method-bg-color: #d2a8ff1a; | ||
--doc-symbol-class-bg-color: #79c0ff1a; | ||
--doc-symbol-module-bg-color: #baff791a; | ||
} | ||
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code.doc-symbol { | ||
border-radius: .1rem; | ||
font-size: .85em; | ||
padding: 0 .3em; | ||
font-weight: bold; | ||
} | ||
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code.doc-symbol-attribute { | ||
color: var(--doc-symbol-attribute-fg-color); | ||
background-color: var(--doc-symbol-attribute-bg-color); | ||
} | ||
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code.doc-symbol-attribute::after { | ||
content: "attr"; | ||
} | ||
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code.doc-symbol-function { | ||
color: var(--doc-symbol-function-fg-color); | ||
background-color: var(--doc-symbol-function-bg-color); | ||
} | ||
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code.doc-symbol-function::after { | ||
content: "func"; | ||
} | ||
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code.doc-symbol-method { | ||
color: var(--doc-symbol-method-fg-color); | ||
background-color: var(--doc-symbol-method-bg-color); | ||
} | ||
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code.doc-symbol-method::after { | ||
content: "meth"; | ||
} | ||
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code.doc-symbol-class { | ||
color: var(--doc-symbol-class-fg-color); | ||
background-color: var(--doc-symbol-class-bg-color); | ||
} | ||
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code.doc-symbol-class::after { | ||
content: "class"; | ||
} | ||
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code.doc-symbol-module { | ||
color: var(--doc-symbol-module-fg-color); | ||
background-color: var(--doc-symbol-module-bg-color); | ||
} | ||
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code.doc-symbol-module::after { | ||
content: "mod"; | ||
} | ||
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.doc-signature .autorefs { | ||
color: inherit; | ||
border-bottom: 1px dotted currentcolor; | ||
} |
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const on_click_badge_name = (text) => { | ||
const on_error = reason => { | ||
console.error("Copying text failed:", reason); | ||
iqwerty.toast.toast("Failed to copy text", options); | ||
}; | ||
const options = { | ||
style: { | ||
main: { | ||
// Use red as a fallback, so that I will notice (default is light blue) | ||
"background": "var(--md-primary-fg-color, #2FA4E7)", | ||
"color": "white", | ||
"font-size": "20px", | ||
"font-weight": "bold", | ||
}, | ||
}, | ||
settings: { | ||
duration: 1500, | ||
}, | ||
}; | ||
console.log("Copying text:", text); | ||
try { | ||
navigator.clipboard.writeText(text).then( | ||
() => iqwerty.toast.toast(`Copied "${text}"`, options) | ||
).catch(on_error); | ||
} catch (error) { | ||
on_error(error); | ||
} | ||
} | ||
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// This is much less likely to cause escaping issues and does not require inline scripts | ||
const register_badge_copy_commands = () => { | ||
// console.log("badge: registering copy command handlers"); | ||
for (const badge of document.querySelectorAll("span[data-copy-base64]")) { | ||
// console.log("badge: copy", badge); | ||
const copy_base64 = badge.getAttribute("data-copy-base64"); | ||
if (copy_base64) { | ||
const copy_ascii = atob(copy_base64); | ||
const copy_uint8 = Uint8Array.from(copy_ascii, x => x.codePointAt(0)); | ||
const copy_unicode = new TextDecoder().decode(copy_uint8); | ||
badge.addEventListener("click", () => { | ||
on_click_badge_name(copy_unicode); | ||
}); | ||
} | ||
} | ||
} | ||
window.addEventListener("load", register_badge_copy_commands); | ||
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// https://github.com/mlcheng/js-toast/ - MIT License - Copyright (c) 2016 Michael Cheng | ||
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