I would say it is possible to do what you need, excel and access can be replaced by python, which you need anyway, because it provide updates (via callbacks) and interactivity. I have made simple project very similar to your except sliders, but it wouldn’t be hard to implement. The problem might be how complex are those computations and amount of data.
···
On Friday, March 30, 2018 at 7:25:40 PM UTC+3, [email protected] wrote:
Hi,
I’m new to Bokeh. I’m trying to get a basic assessment if this is a viable option for us.
What we’re trying to do is to offer an interactive visualization of 2D plots.
The plots are currently generated after complex calculations in Excel. Then plotted in Excel. Then imported into Access.
Where can I get some examples of moderate complexity calculations done using Bokeh and the resulting visualization ?
This way I can judge whether its worth attempting…
Arie
···
On Friday, March 30, 2018 at 11:32:27 AM UTC-7, Andrejus Antoninovas wrote:
I would say it is possible to do what you need, excel and access can be replaced by python, which you need anyway, because it provide updates (via callbacks) and interactivity. I have made simple project very similar to your except sliders, but it wouldn’t be hard to implement. The problem might be how complex are those computations and amount of data.
On Friday, March 30, 2018 at 7:25:40 PM UTC+3, [email protected] wrote:
Hi,
I’m new to Bokeh. I’m trying to get a basic assessment if this is a viable option for us.
What we’re trying to do is to offer an interactive visualization of 2D plots.
The plots are currently generated after complex calculations in Excel. Then plotted in Excel. Then imported into Access.
Is this a question about Bokeh, or about Python more generally? Bokeh itself is a visualization tool, it's not really concerned directly with computations. However, a Bokeh app can tun basically any python code, and Python has tools like:
* numpy - efficient N-dimensional array computations
* spicy - signal processing, statistics, special functions, regressions
* pandas - advanced time series and data frames
* sympy - symbolic mathematics
* scikit-learn - machine learning algorithms
* scikit-image - image processing
* numba - CPU and GPU accelerated computations
* dask - distributed computation
and many more. Any of these can be used by a Bokeh app. I guess it's hard to imagine an excel spreadsheet that could not be reproduced with some combination of these PyData tools, but perhaps if you were more specific about your actual requirements, we could give more specific guidance.
Where can I get some examples of moderate complexity calculations done using Bokeh and the resulting visualization ?
This way I can judge whether its worth attempting...
Arie
On Friday, March 30, 2018 at 11:32:27 AM UTC-7, Andrejus Antoninovas wrote:
I would say it is possible to do what you need, excel and access can be replaced by python, which you need anyway, because it provide updates (via callbacks) and interactivity. I have made simple project very similar to your except sliders, but it wouldn't be hard to implement. The problem might be how complex are those computations and amount of data.
On Friday, March 30, 2018 at 7:25:40 PM UTC+3, ariep...@gmail.com wrote:
Hi,
I'm new to Bokeh. I'm trying to get a basic assessment if this is a viable option for us.
What we're trying to do is to offer an interactive visualization of 2D plots.
The plots are currently generated after complex calculations in Excel. Then plotted in Excel. Then imported into Access.
Breaking up the problem into calculation & presentation - can ? should ? Bokeh be used for complex calculations ?
Once presented as a plot, how does one allow interactive changing of input parameters (as in the above example) to update the plot ?