update

README.md

@@ -44,6 +44,21 @@ exits = exits | forced_exits_window
 
 exits.tail(20)
 ```
+## display plotly figs in single ntb cells
+
+`figs2cell(figlist)`
+
+Example usage:
+
+```python
+figs = []
+fig1 = df.groupby([df['Exit Index'].dt.day_name(), 'Direction'])['PnL'].sum().unstack().vbt.barplot()
+fig2 = df.groupby([df['Exit Index'].dt.day_name(), 'Direction'])['PnL'].sum().unstack().vbt.barplot()
+figs.append(fig1)
+figs.append(fig2)
+display_figs_side_by_side(figs)
+```
+
 ## is rising/is falling
 `isrising(series,n)`,`isfalling(series, n)` - returns mask where the condition is satisfied of rising or falling elements including equal values
 

setup.py

@@ -2,7 +2,7 @@ from setuptools import setup, find_packages
 
 setup(
     name='ttools',
-    version='0.3.9',
+    version='0.4.0',
     packages=find_packages(),
     install_requires=[
         'vectorbtpro',

ttools/__init__.py

@@ -1,2 +1,2 @@
-from .vbtutils import AnchoredIndicator, create_mask_from_window, isrising, isfalling, isrisingc, isfallingc, trades2entries_exits
+from .vbtutils import AnchoredIndicator, create_mask_from_window, isrising, isfalling, isrisingc, isfallingc, trades2entries_exits, figs2cell
 from .vbtindicators import register_custom_inds

ttools/vbtutils.py

@@ -3,8 +3,41 @@ import vectorbtpro as vbt
 import pandas_market_calendars as mcal
 from typing import Any
 import datetime
+import plotly.graph_objects as go
+import ipywidgets as widgets
+from IPython.display import display
 
 
+def figs2cell(fig_list):
+    """
+    Display a list of plotly figures side by side in a notebook.
+    Allows to display multiple plots in a single cell.
+    Args:
+        fig_list (list): list of figures
+
+    Example usage:
+
+    ```python
+    figs = []
+    fig1 = df.groupby([df['Exit Index'].dt.day_name(), 'Direction'])['PnL'].sum().unstack().vbt.barplot()
+    fig2 = df.groupby([df['Exit Index'].dt.day_name(), 'Direction'])['PnL'].sum().unstack().vbt.barplot()
+    figs.append(fig1)
+    figs.append(fig2)
+    display_figs_side_by_side(figs)
+    ```
+    """
+    # Create output widgets for each figure
+    output_widgets = []
+    for fig in fig_list:
+        out = widgets.Output()
+        with out:
+            fig.show()
+        output_widgets.append(out)
+    
+    # Create an HBox to display the widgets side by side
+    hbox = widgets.HBox(output_widgets)
+    display(hbox)
+
 def trades2entries_exits(pf, notext=False):
     """
     Convert trades from Portfolio to entries and exits DataFrame for use in lw plot