New version

README.md

@@ -159,6 +159,7 @@ In chartpy/examples you will find several demos
 
 # Recent Release Notes
 
+* 10 Apr 2024 - v0.1.14
 * 12 Oct 2023 - v0.1.13
 * 07 Jul 2022 - v0.1.12
 * 06 Oct 2021 - v0.1.11
@@ -172,6 +173,8 @@ In chartpy/examples you will find several demos
 
 # Coding log
 
+* 10 Apr 2024
+ * Added option to create Plotly charts without JavaScript embedding (smaller file sizes)
 * 02 Nov 2022
  * Added data parameter for creation of Dash table
 * 01 Sep 2022

chartpy/engine.py

@@ -1733,67 +1733,54 @@ def plot_chart(self, data_frame, style, chart_type):
  "%Y-%m-%d"), 'color': 'rgba(30,30,30,0.3)',
  'fill': True, 'opacity': .4}
 
- # Sometimes Plotly has issues generating figures in dash, so if fails first, try again
- while m < 10:
-
- if True:
- if vspan is None:
- fig = data_frame.iplot(kind=chart_type_ord,
- title=title,
- xTitle=style.x_title,
- yTitle=style.y_title,
- x=x, y=y, z=z,
- subplots=False,
- sharing=style.plotly_sharing,
- mode=mode,
- secondary_y=y_axis_2_series,
- size=marker_size,
- theme=plotly_theme,
- colorscale='dflt',
- bestfit=style.line_of_best_fit,
- legend=style.display_legend,
- width=style.linewidth,
- color=color_spec1,
- dimensions=(
- style.width * abs(
- style.scale_factor) * scale,
- style.height * abs(
- style.scale_factor) * scale),
- asFigure=True)
- else:
- fig = data_frame.iplot(kind=chart_type_ord,
- title=title,
- xTitle=style.x_title,
- yTitle=style.y_title,
- x=x, y=y, z=z,
- subplots=False,
- sharing=style.plotly_sharing,
- mode=mode,
- secondary_y=y_axis_2_series,
- size=marker_size,
- theme=plotly_theme,
- colorscale='dflt',
- bestfit=style.line_of_best_fit,
- legend=style.display_legend,
- width=style.linewidth,
- color=color_spec1,
- dimensions=(
- style.width * abs(
- style.scale_factor) * scale,
- style.height * abs(
- style.scale_factor) * scale),
- vspan=vspan,
- asFigure=True)
-
- m = 10;
- break
- # except Exception as e:
- print("Will attempt to re-render: " + str(e))
-
- import time
- time.sleep(0.3)
-
- m = m + 1
+ if True:
+ if vspan is None:
+ fig = data_frame.iplot(kind=chart_type_ord,
+ title=title,
+ xTitle=style.x_title,
+ yTitle=style.y_title,
+ x=x, y=y, z=z,
+ subplots=False,
+ sharing=style.plotly_sharing,
+ mode=mode,
+ secondary_y=y_axis_2_series,
+ size=marker_size,
+ theme=plotly_theme,
+ colorscale='dflt',
+ bestfit=style.line_of_best_fit,
+ legend=style.display_legend,
+ width=style.linewidth,
+ color=color_spec1,
+ dimensions=(
+ style.width * abs(
+ style.scale_factor) * scale,
+ style.height * abs(
+ style.scale_factor) * scale),
+ asFigure=True)
+ else:
+ fig = data_frame.iplot(kind=chart_type_ord,
+ title=title,
+ xTitle=style.x_title,
+ yTitle=style.y_title,
+ x=x, y=y, z=z,
+ subplots=False,
+ sharing=style.plotly_sharing,
+ mode=mode,
+ secondary_y=y_axis_2_series,
+ size=marker_size,
+ theme=plotly_theme,
+ colorscale='dflt',
+ bestfit=style.line_of_best_fit,
+ legend=style.display_legend,
+ width=style.linewidth,
+ color=color_spec1,
+ dimensions=(
+ style.width * abs(
+ style.scale_factor) * scale,
+ style.height * abs(
+ style.scale_factor) * scale),
+ vspan=vspan,
+ asFigure=True)
 
  # For lines set the property of connectgaps (cannot specify directly in cufflinks)
  if full_line:
@@ -2321,6 +2308,10 @@ def publish_plot(self, fig, style):
  elif style.plotly_plot_mode == 'offline_html':
  py_offline.plot(fig, filename=style.html_file_output,
  auto_open=not (style.silent_display))
+ elif style.plotly_plot_mode == 'offline_html_exc_embed_js':
+ py_offline.plot(fig, filename=style.html_file_output,
+ include_plotlyjs="cdn",
+ auto_open=not(style.silent_display))
  elif style.plotly_plot_mode == 'offline_png':
  # Needs orca
  fig.write_image(style.file_output)

chartpy_examples/canvas_demo.py

@@ -41,8 +41,8 @@
  df.columns = ["Real QoQ"]
 
  # Chart object is initialised with the dataframe and our chart style
- chart_bokeh = Chart(df=df, chart_type='line', engine='bokeh',
- style=Style(title="US GDP", source="Quandl/Fred", scale_factor=-2, width=500, height=300, silent_display=True))
+ # chart_bokeh = Chart(df=df, chart_type='line', engine='bokeh',
+ #  style=Style(title="US GDP", source="Quandl/Fred", scale_factor=-2, width=500, height=300, silent_display=True))
 
  chart_plotly = Chart(df=df, chart_type='line', engine='plotly',
  style=Style(title="US GDP", source="Quandl/Fred", scale_factor=-2, width=500, height=300, silent_display=True))
@@ -53,11 +53,11 @@
  text = "A demo of chartpy canvas!!"
 
  # using plain template
- canvas = Canvas([[text, chart_bokeh], [chart_plotly, df.tail(n=5)]])
+ canvas = Canvas([[text, chart_plotly], [chart_plotly, df.tail(n=5)]])
 
  canvas.generate_canvas(silent_display=False, canvas_plotter='plain')
 
  # using the Keen template (needs static folder in the same place as final HTML file)
- canvas = Canvas([[chart_bokeh, chart_plotly], [chart_plotly, chart_matplotlib]])
+ canvas = Canvas([[chart_plotly, chart_plotly], [chart_plotly, chart_matplotlib]])
 
  canvas.generate_canvas(silent_display=False, canvas_plotter='keen')

setup.py

@@ -7,7 +7,7 @@
 also works well with Dash, plotly's web server library built on top of Flask."""
 
 setup(name='chartpy',
- version='0.1.13',
+ version='0.1.14',
  description='chartpy creates a simple easy to use API to plot in a number of great Python chart libraries',
  author='Saeed Amen',
  author_email='[email protected]',