feat: migrate Bootstrap from 3.3.7 to 5.3.3

src/ydata_profiling/config.py

@@ -191,7 +191,7 @@ def primary_color(self) -> str:
         return self.primary_colors[0]
 
     # Primary color used for comparisons (default: blue, red, green)
-    primary_colors: List[str] = ["#377eb8", "#e41a1c", "#4daf4a"]
+    primary_colors: List[str] = ["#0d6efd", "#dc3545", "#198754"]
 
     # Base64-encoded logo image
     logo: str = ""

src/ydata_profiling/config_default.yaml

@@ -1,5 +1,5 @@
 # Title of the document
-title: "Pandas Profiling Report"
+title: YData Profiling Report
 
 # Metadata
 dataset:
@@ -27,93 +27,97 @@ progress_bar: true
 
 # Per variable type description settings
 vars:
-    num:
-        quantiles:
-              - 0.05
-              - 0.25
-              - 0.5
-              - 0.75
-              - 0.95
-        skewness_threshold: 20
-        low_categorical_threshold: 5
-        # Set to zero to disable
-        chi_squared_threshold: 0.999
-    cat:
-        length: true
-        characters: true
-        words: true
-        cardinality_threshold: 50
-        n_obs: 5
-        # Set to zero to disable
-        chi_squared_threshold: 0.999
-        coerce_str_to_date: false
-        redact: false
-        histogram_largest: 50
-        stop_words: []
-    bool:
-        n_obs: 3
-        # string to boolean mapping dict
-        mappings:
-            t: true
-            f: false
-            yes: true
-            no: false
-            y: true
-            n: false
-            true: true
-            false: false
-    file:
-        active: false
-    image:
-        active: false
-        exif: true
-        hash: true
-    path:
-        active: false
-    url:
-        active: false
-    timeseries:
-        active: false
-        autocorrelation: 0.7
-        lags: [1, 7, 12, 24, 30]
-        significance: 0.05
-        pacf_acf_lag: 100
+  num:
+    quantiles:
+      - 0.05
+      - 0.25
+      - 0.5
+      - 0.75
+      - 0.95
+    skewness_threshold: 20
+    low_categorical_threshold: 5
+    # Set to zero to disable
+    chi_squared_threshold: 0.999
+  cat:
+    length: true
+    characters: true
+    words: true
+    cardinality_threshold: 50
+    n_obs: 5
+    # Set to zero to disable
+    chi_squared_threshold: 0.999
+    coerce_str_to_date: false
+    redact: false
+    histogram_largest: 50
+    stop_words: []
+  bool:
+    n_obs: 3
+    # string to boolean mapping dict
+    mappings:
+      t: true
+      f: false
+      yes: true
+      no: false
+      y: true
+      n: false
+      "true": true
+      "false": false
+  file:
+    active: false
+  image:
+    active: false
+    exif: true
+    hash: true
+  path:
+    active: false
+  url:
+    active: false
+  timeseries:
+    active: false
+    autocorrelation: 0.7
+    lags:
+      - 1
+      - 7
+      - 12
+      - 24
+      - 30
+    significance: 0.05
+    pacf_acf_lag: 100
 
 # Sort the variables. Possible values: "ascending", "descending" or null (leaves original sorting)
 sort: null
 
 # which diagrams to show
 missing_diagrams:
-    bar: true
-    matrix: true
-    heatmap: true
+  bar: true
+  matrix: true
+  heatmap: true
 
 correlations:
-    pearson:
-      calculate: false
-      warn_high_correlations: true
-      threshold: 0.9
-    spearman:
-      calculate: false
-      warn_high_correlations: false
-      threshold: 0.9
-    kendall:
-      calculate: false
-      warn_high_correlations: false
-      threshold: 0.9
-    phi_k:
-      calculate: false
-      warn_high_correlations: false
-      threshold: 0.9
-    cramers:
-      calculate: false
-      warn_high_correlations: true
-      threshold: 0.9
-    auto:
-      calculate: true
-      warn_high_correlations: true
-      threshold: 0.9
-
+  pearson:
+    calculate: false
+    warn_high_correlations: true
+    threshold: 0.9
+  spearman:
+    calculate: false
+    warn_high_correlations: false
+    threshold: 0.9
+  kendall:
+    calculate: false
+    warn_high_correlations: false
+    threshold: 0.9
+  phi_k:
+    calculate: false
+    warn_high_correlations: false
+    threshold: 0.9
+  cramers:
+    calculate: false
+    warn_high_correlations: true
+    threshold: 0.9
+  auto:
+    calculate: true
+    warn_high_correlations: true
+    threshold: 0.9
 
 # Bivariate / Pairwise relations
 interactions:
@@ -128,38 +132,38 @@ report:
 
 # Plot-specific settings
 plot:
-    # Image format (svg or png)
-    image_format: "svg"
-    dpi: 800
+  # Image format (svg or png)
+  image_format: svg
+  dpi: 800
 
-    scatter_threshold: 1000
+  scatter_threshold: 1000
 
-    correlation:
-        cmap: 'RdBu'
-        bad: '#000000'
+  correlation:
+    cmap: RdBu
+    bad: "#000000"
 
-    missing:
-        cmap: 'RdBu'
-        # Force labels when there are > 50 variables
-        # https://github.com/ResidentMario/missingno/issues/93#issuecomment-513322615
-        force_labels: true
+  missing:
+    cmap: RdBu
+    # Force labels when there are > 50 variables
+    # https://github.com/ResidentMario/missingno/issues/93#issuecomment-513322615
+    force_labels: true
 
-    cat_frequency:
-        show: true  # if false, the category frequency plot is turned off
-        type: 'bar' # options: 'bar', 'pie'
-        max_unique: 10
-        colors: null # use null for default or give a list of matplotlib recognised strings      
+  cat_frequency:
+    show: true  # if false, the category frequency plot is turned off
+    type: bar  # options: 'bar', 'pie'
+    max_unique: 10
+    colors: null  # use null for default or give a list of matplotlib recognized strings
 
-    histogram:
-        x_axis_labels: true
+  histogram:
+    x_axis_labels: true
 
-        # Number of bins (set to 0 to automatically detect the bin size)
-        bins: 50
+    # Number of bins (set to 0 to automatically detect the bin size)
+    bins: 50
 
-        # Maximum number of bins (when bins=0)
-        max_bins: 250
+    # Maximum number of bins (when bins=0)
+    max_bins: 250
 
-    font_path: null
+  font_path: null
 
 # The number of observations to show
 n_obs_unique: 5
@@ -171,49 +175,49 @@ memory_deep: false
 
 # Configuration related to the duplicates
 duplicates:
-    head: 10
-    key: "# duplicates"
+  head: 10
+  key: "# duplicates"
 
 # Configuration related to the samples area
 samples:
-    head: 10
-    tail: 10
-    random: 0
+  head: 10
+  tail: 10
+  random: 0
 
 # Configuration related to the rejection of variables
 reject_variables: true
 
 # When in a Jupyter notebook
 notebook:
-    iframe:
-        height: '800px'
-        width: '100%'
-        # or 'src'
-        attribute: 'srcdoc'
+  iframe:
+    height: 800px
+    width: 100%
+    # or 'src'
+    attribute: srcdoc
 
 html:
-    # Minify the html
-    minify_html: true
+  # Minify the html
+  minify_html: true
 
-    # Offline support
-    use_local_assets: true
+  # Offline support
+  use_local_assets: true
 
-    # If true, single file, else directory with assets
-    inline: true
+  # If true, single file, else directory with assets
+  inline: true
 
-    # Show navbar
-    navbar_show: true
+  # Show navbar
+  navbar_show: true
 
-    # Assets prefix if inline = true
-    assets_prefix: null
+  # Assets prefix if inline = true
+  assets_prefix: null
 
-    # Styling options for the HTML report
-    style:
-      theme: null
-      logo: ""
-      primary_colors:
-      - "#377eb8"
-      - "#e41a1c"
-      - "#4daf4a"
+  # Styling options for the HTML report
+  style:
+    theme: null
+    logo: ""
+    primary_colors:
+      - "#0d6efd"
+      - "#dc3545"
+      - "#198754"
 
-    full_width: false
+  full_width: false