Merge pull request #44 from MarkusNeusinger/copilot/sub-pr-43

fix: translate German text to English in library prompt files

Author: MarkusNeusinger

prompts/library/altair.md

@@ -6,7 +6,7 @@
 import altair as alt
 ```
 
-## Chart erstellen
+## Create Chart
 
 ```python
 chart = alt.Chart(df).mark_point().encode(
@@ -22,16 +22,16 @@ chart = alt.Chart(df).mark_point().encode(
 ## Encoding Types
 
 ```python
-# Q = Quantitative (numerisch)
+# Q = Quantitative (numeric)
 x='value:Q'
 
-# N = Nominal (kategorisch, keine Ordnung)
+# N = Nominal (categorical, no order)
 color='category:N'
 
-# O = Ordinal (kategorisch, mit Ordnung)
+# O = Ordinal (categorical, with order)
 x='month:O'
 
-# T = Temporal (Datum/Zeit)
+# T = Temporal (date/time)
 x='date:T'
 ```
 
@@ -46,18 +46,18 @@ x='date:T'
 .mark_area()       # Area
 ```
 
-## Speichern (PNG)
+## Save (PNG)
 
 ```python
 chart.save('plot.png', scale_factor=2.0)
 ```
 
-**Hinweis**: Benötigt `vl-convert-python` für PNG-Export.
+**Note**: Requires `vl-convert-python` for PNG export.
 
-## Interaktivität
+## Interactivity
 
 ```python
-# Zoom/Pan aktivieren
+# Enable zoom/pan
 chart = chart.interactive()
 
 # Tooltips

prompts/library/bokeh.md

@@ -8,7 +8,7 @@ from bokeh.models import ColumnDataSource
 from bokeh.io import export_png
 ```
 
-## Figure erstellen
+## Create Figure
 
 ```python
 p = figure(
@@ -20,39 +20,39 @@ p = figure(
 )
 ```
 
-## Plot-Methoden
+## Plot Methods
 
 ```python
-# Numerische Daten
+# Numeric data
 p.scatter(x='x', y='y', source=source)
 p.line(x='x', y='y', source=source)
 
-# WICHTIG: Kategorische Achsen
-p = figure(x_range=categories, ...)  # x_range definieren!
+# IMPORTANT: Categorical axes
+p = figure(x_range=categories, ...)  # define x_range!
 source = ColumnDataSource(data={'x': cat_data, 'y': num_data})
 p.scatter(x='x', y='y', source=source)
 ```
 
 ## ColumnDataSource
 
 ```python
-# Immer ColumnDataSource verwenden für Flexibilität
+# Always use ColumnDataSource for flexibility
 source = ColumnDataSource(data={
     'x': df['col_x'],
     'y': df['col_y'],
     'color': df['col_color']
 })
 ```
 
-## Speichern (PNG)
+## Save (PNG)
 
 ```python
 from bokeh.io import export_png
 
 export_png(p, filename='plot.png')
 ```
 
-**Hinweis**: Benötigt `selenium` und WebDriver für PNG-Export.
+**Note**: Requires `selenium` and WebDriver for PNG export.
 
 ## Styling
 
@@ -66,17 +66,17 @@ p.yaxis.axis_label = y_label
 
 `plots/bokeh/{glyph_method}/`
 
-| Methode | Folder |
-|---------|--------|
+| Method | Folder |
+|--------|--------|
 | `p.scatter()` | `scatter/` |
 | `p.line()` | `line/` |
 | `p.vbar()` | `vbar/` |
 | `p.hbar()` | `hbar/` |
-| Custom (kein natives) | `custom/` |
+| Custom (no native) | `custom/` |
 
 ## Return Type
 
 ```python
 def create_plot(...) -> figure:
-    # Hinweis: bokeh.plotting.figure (lowercase)
+    # Note: bokeh.plotting.figure (lowercase)
 ```

prompts/library/highcharts.md

@@ -1,32 +1,32 @@
 # highcharts
 
-**Hinweis**: Highcharts erfordert eine Lizenz für kommerzielle Nutzung.
+**Note**: Highcharts requires a license for commercial use.
 
 ## Import
 
 ```python
-# WICHTIG: Korrekter Import-Pfad
+# IMPORTANT: Correct import path
 from highcharts_core.chart import Chart
 from highcharts_core.options import HighchartsOptions
 from highcharts_core.options.series.bar import BarSeries
 from highcharts_core.options.series.scatter import ScatterSeries
 ```
 
-## Chart erstellen
+## Create Chart
 
 ```python
 chart = Chart()
 chart.options = HighchartsOptions()
 
-# Titel
+# Title
 chart.options.title = {'text': title}
 
-# Achsen
+# Axes
 chart.options.x_axis = {'title': {'text': x_label}}
 chart.options.y_axis = {'title': {'text': y_label}}
 ```
 
-## Series hinzufügen
+## Add Series
 
 ```python
 from highcharts_core.options.series.scatter import ScatterSeries
@@ -38,7 +38,7 @@ series.name = 'Data'
 chart.add_series(series)
 ```
 
-## Series-Typen
+## Series Types
 
 ```python
 from highcharts_core.options.series.bar import BarSeries
@@ -52,10 +52,10 @@ from highcharts_core.options.series.boxplot import BoxPlotSeries
 ## HTML Export
 
 ```python
-# Als HTML-String
+# As HTML string
 html = chart.to_js_literal()
 
-# Als HTML-Datei
+# As HTML file
 with open('plot.html', 'w') as f:
     f.write(f'''
     <html>
@@ -79,10 +79,10 @@ from selenium import webdriver
 from selenium.webdriver.chrome.options import Options
 
 def export_to_png(chart, filename='plot.png'):
-    # HTML generieren
-    html_content = f'''...'''  # wie oben
+    # Generate HTML
+    html_content = f'''...'''  # as above
 
-    # Selenium Screenshot
+    # Selenium screenshot
     options = Options()
     options.add_argument('--headless')
     driver = webdriver.Chrome(options=options)
@@ -96,7 +96,7 @@ def export_to_png(chart, filename='plot.png'):
     driver.quit()
 ```
 
-## Chart-Größe
+## Chart Size
 
 ```python
 chart.options.chart = {

prompts/library/plotly.md

@@ -4,18 +4,18 @@
 
 ```python
 import plotly.graph_objects as go
-# oder
+# or
 import plotly.express as px
 ```
 
-## Figure erstellen
+## Create Figure
 
 ```python
 # Graph Objects
 fig = go.Figure()
 fig.add_trace(go.Scatter(x=x, y=y))
 
-# Express (für schnelle Plots)
+# Express (for quick plots)
 fig = px.scatter(df, x='col_x', y='col_y')
 ```
 
@@ -32,18 +32,18 @@ fig.update_layout(
 )
 ```
 
-## Speichern (PNG)
+## Save (PNG)
 
 ```python
 fig.write_image('plot.png', width=1600, height=900, scale=2)
 ```
 
-**Hinweis**: Benötigt `kaleido` für PNG-Export.
+**Note**: Requires `kaleido` for PNG export.
 
-## Interaktivität
+## Interactivity
 
-Plotly ist standardmäßig interaktiv (Hover, Zoom, Pan).
-Für statische Outputs → `write_image()`.
+Plotly is interactive by default (hover, zoom, pan).
+For static outputs → `write_image()`.
 
 ## Folder-Name
 

prompts/library/plotnine.md

@@ -11,7 +11,7 @@ from plotnine import (
 )
 ```
 
-## Plot erstellen
+## Create Plot
 
 ```python
 plot = (
@@ -28,36 +28,36 @@ plot = (
 plot = plot + theme(figure_size=(16, 9))
 ```
 
-## Speichern (PNG)
+## Save (PNG)
 
 ```python
 plot.save('plot.png', dpi=300)
 ```
 
-## Brewer Paletten
+## Brewer Palettes
 
-**WICHTIG**: Palette-Typ muss zum Palette-Namen passen!
+**IMPORTANT**: Palette type must match the palette name!
 
 ```python
-# Qualitativ (kategorisch)
+# Qualitative (categorical)
 + scale_fill_brewer(type='qual', palette='Set2')
 + scale_fill_brewer(type='qual', palette='Paired')
 + scale_fill_brewer(type='qual', palette='Dark2')
 
-# Sequentiell (numerisch)
+# Sequential (numeric)
 + scale_fill_brewer(type='seq', palette='Blues')
 + scale_fill_brewer(type='seq', palette='Greens')
 
-# Divergierend (um Nullpunkt)
+# Diverging (around zero)
 + scale_fill_brewer(type='div', palette='RdBu')
 + scale_fill_brewer(type='div', palette='PiYG')
 ```
 
 ```python
-# FALSCH: Set2 ist NICHT sequentiell!
+# WRONG: Set2 is NOT sequential!
 + scale_fill_brewer(type='seq', palette='Set2')
 
-# RICHTIG: Set2 ist qualitativ
+# RIGHT: Set2 is qualitative
 + scale_fill_brewer(type='qual', palette='Set2')
 ```
 
@@ -66,7 +66,7 @@ plot.save('plot.png', dpi=300)
 ```python
 geom_point()     # Scatter
 geom_line()      # Line
-geom_bar()       # Bar (stat='identity' für Werte)
+geom_bar()       # Bar (stat='identity' for values)
 geom_boxplot()   # Boxplot
 geom_histogram() # Histogram
 geom_tile()      # Heatmap

prompts/library/pygal.md

@@ -7,7 +7,7 @@ import pygal
 from pygal.style import Style
 ```
 
-## Chart erstellen
+## Create Chart
 
 ```python
 chart = pygal.Bar(
@@ -19,35 +19,35 @@ chart = pygal.Bar(
 )
 ```
 
-## Chart-Typen
+## Chart Types
 
 ```python
-pygal.Bar()          # Vertikale Balken
-pygal.HorizontalBar()# Horizontale Balken
-pygal.Line()         # Linien
-pygal.XY()           # Scatter (XY-Koordinaten)
-pygal.Pie()          # Kreisdiagramm
+pygal.Bar()          # Vertical bars
+pygal.HorizontalBar()# Horizontal bars
+pygal.Line()         # Lines
+pygal.XY()           # Scatter (XY coordinates)
+pygal.Pie()          # Pie chart
 pygal.Box()          # Boxplot
-pygal.Histogram()    # Histogramm
+pygal.Histogram()    # Histogram
 ```
 
-## Daten hinzufügen
+## Add Data
 
 ```python
 chart.add('Series 1', [1, 2, 3, 4])
 chart.add('Series 2', [4, 3, 2, 1])
 
-# X-Achsen-Labels
+# X-axis labels
 chart.x_labels = ['A', 'B', 'C', 'D']
 ```
 
-## Speichern
+## Save
 
 ```python
-# SVG (nativ)
+# SVG (native)
 chart.render_to_file('plot.svg')
 
-# PNG (benötigt cairosvg)
+# PNG (requires cairosvg)
 chart.render_to_png('plot.png')
 ```
 
@@ -79,7 +79,7 @@ chart = pygal.Bar(
 
 `plots/pygal/{chart_type}/`
 
-| Typ | Folder |
+| Type | Folder |
 |-----|--------|
 | `pygal.Bar()` | `bar/` |
 | `pygal.Line()` | `line/` |
@@ -90,5 +90,5 @@ chart = pygal.Bar(
 ## Return Type
 
 ```python
-def create_plot(...) -> pygal.Bar:  # oder entsprechender Typ
+def create_plot(...) -> pygal.Bar:  # or corresponding type
 ```