I am a Python novice looking to learn more especially with regards to data visualization and I chose to use the Bokeh Library for that. I wanted to use your figure charts to display a map of London Postcodes but noticed your sample data only covers the United States.
I set off to create a csv and dictionary data set to mimic your very own us_counties module. I am still working on the module but I wanted to ask in case you find it good, how it could bee included in your sample data module.
We would certainly love to have this kind of contribution. I will mention that we are also currently try to integrate better/more easily with other common GIS formats, so that it's not necessary to do much (or any) data formatting up front to use it with Bokeh.
Thanks,
Bryan
···
On Jun 27, 2015, at 9:22 AM, Maria Cerase <[email protected]> wrote:
Hello Bokeh team,
I am a Python novice looking to learn more especially with regards to data visualization and I chose to use the Bokeh Library for that. I wanted to use your figure charts to display a map of London Postcodes but noticed your sample data only covers the United States.
I set off to create a csv and dictionary data set to mimic your very own us_counties module. I am still working on the module but I wanted to ask in case you find it good, how it could bee included in your sample data module.
my module is ready in my repository called bokeh-london, some of the repository is not needed for bokeh, plus the csv file here is coded as if staying in the same directory as the .py file. What would I need to do for you guys to accept a pull request?
···
On Saturday, 27 June 2015 15:26:11 UTC+1, Bryan Van de ven wrote:
Hi Maria,
We would certainly love to have this kind of contribution. I will mention that we are also currently try to integrate better/more easily with other common GIS formats, so that it’s not necessary to do much (or any) data formatting up front to use it with Bokeh.
I am a Python novice looking to learn more especially with regards to data visualization and I chose to use the Bokeh Library for that. I wanted to use your figure charts to display a map of London Postcodes but noticed your sample data only covers the United States.
I set off to create a csv and dictionary data set to mimic your very own us_counties module. I am still working on the module but I wanted to ask in case you find it good, how it could bee included in your sample data module.
I realised I should have forked your project first but I do not think it is necessary to upload the csv I created to the amazon instance.
Would love to contribute but I need some guidance
···
On Tuesday, 30 June 2015 22:06:06 UTC+1, Maria Cerase wrote:
Hello Bryan,
my module is ready in my repository called bokeh-london, some of the repository is not needed for bokeh, plus the csv file here is coded as if staying in the same directory as the .py file. What would I need to do for you guys to accept a pull request?
On Saturday, 27 June 2015 15:26:11 UTC+1, Bryan Van de ven wrote:
Hi Maria,
We would certainly love to have this kind of contribution. I will mention that we are also currently try to integrate better/more easily with other common GIS formats, so that it’s not necessary to do much (or any) data formatting up front to use it with Bokeh.
I am a Python novice looking to learn more especially with regards to data visualization and I chose to use the Bokeh Library for that. I wanted to use your figure charts to display a map of London Postcodes but noticed your sample data only covers the United States.
I set off to create a csv and dictionary data set to mimic your very own us_counties module. I am still working on the module but I wanted to ask in case you find it good, how it could bee included in your sample data module.
We definitely want to get this data set included. We are right now in the middle of the 0.9.1 release, and then several of us are attending/preseting SciPy next week. Can you make a GH issue about this so we can make sure to track it, then probably the week after next we can figure out what needs to be uploaded, etc. Does that sound all right?
I realised I should have forked your project first but I do not think it is necessary to upload the csv I created to the amazon instance.
Would love to contribute but I need some guidance
On Tuesday, 30 June 2015 22:06:06 UTC+1, Maria Cerase wrote:
Hello Bryan,
my module is ready in my repository called bokeh-london, some of the repository is not needed for bokeh, plus the csv file here is coded as if staying in the same directory as the .py file. What would I need to do for you guys to accept a pull request?
On Saturday, 27 June 2015 15:26:11 UTC+1, Bryan Van de ven wrote:
Hi Maria,
We would certainly love to have this kind of contribution. I will mention that we are also currently try to integrate better/more easily with other common GIS formats, so that it's not necessary to do much (or any) data formatting up front to use it with Bokeh.
Thanks,
Bryan
> On Jun 27, 2015, at 9:22 AM, Maria Cerase <[email protected]> wrote:
>
> Hello Bokeh team,
>
> I am a Python novice looking to learn more especially with regards to data visualization and I chose to use the Bokeh Library for that. I wanted to use your figure charts to display a map of London Postcodes but noticed your sample data only covers the United States.
>
> I set off to create a csv and dictionary data set to mimic your very own us_counties module. I am still working on the module but I wanted to ask in case you find it good, how it could bee included in your sample data module.
>
> you can check my work so far on GitHub: https://github.com/ciacicode/bokeh-london
>
> Thanks a lot!
>
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turns out my data source was not super reliable and now I have a better data set YET, as I wanted to check stuff before submitting I found a very interesting problem.
I am trying to make a map to display on my website some data as a choropleth (see https://github.com/ciacicode/khaleesicode/tree/fcichart ) but I noticed that some very small floating points regarding to longitude (London is close to the 0 of Greenwich) are getting converted to exponent numbers causing some London postcodes to show up in the most unlikely places. Any suggestions on what I can do to avoid this?
···
On Wednesday, 1 July 2015 17:36:54 UTC+1, Bryan Van de ven wrote:
Hi Maria,
We definitely want to get this data set included. We are right now in the middle of the 0.9.1 release, and then several of us are attending/preseting SciPy next week. Can you make a GH issue about this so we can make sure to track it, then probably the week after next we can figure out what needs to be uploaded, etc. Does that sound all right?
I realised I should have forked your project first but I do not think it is necessary to upload the csv I created to the amazon instance.
Would love to contribute but I need some guidance
On Tuesday, 30 June 2015 22:06:06 UTC+1, Maria Cerase wrote:
Hello Bryan,
my module is ready in my repository called bokeh-london, some of the repository is not needed for bokeh, plus the csv file here is coded as if staying in the same directory as the .py file. What would I need to do for you guys to accept a pull request?
On Saturday, 27 June 2015 15:26:11 UTC+1, Bryan Van de ven wrote:
Hi Maria,
We would certainly love to have this kind of contribution. I will mention that we are also currently try to integrate better/more easily with other common GIS formats, so that it’s not necessary to do much (or any) data formatting up front to use it with Bokeh.
I am a Python novice looking to learn more especially with regards to data visualization and I chose to use the Bokeh Library for that. I wanted to use your figure charts to display a map of London Postcodes but noticed your sample data only covers the United States.
I set off to create a csv and dictionary data set to mimic your very own us_counties module. I am still working on the module but I wanted to ask in case you find it good, how it could bee included in your sample data module.
False alarm, the exponential of numbers is only displayed by the hover tool, yet there are some postcodes that should not appear where they are…
···
On Friday, 24 July 2015 17:27:45 UTC+1, Maria Cerase wrote:
Hello,
turns out my data source was not super reliable and now I have a better data set YET, as I wanted to check stuff before submitting I found a very interesting problem.
I am trying to make a map to display on my website some data as a choropleth (see https://github.com/ciacicode/khaleesicode/tree/fcichart ) but I noticed that some very small floating points regarding to longitude (London is close to the 0 of Greenwich) are getting converted to exponent numbers causing some London postcodes to show up in the most unlikely places. Any suggestions on what I can do to avoid this?
On Wednesday, 1 July 2015 17:36:54 UTC+1, Bryan Van de ven wrote:
Hi Maria,
We definitely want to get this data set included. We are right now in the middle of the 0.9.1 release, and then several of us are attending/preseting SciPy next week. Can you make a GH issue about this so we can make sure to track it, then probably the week after next we can figure out what needs to be uploaded, etc. Does that sound all right?
I realised I should have forked your project first but I do not think it is necessary to upload the csv I created to the amazon instance.
Would love to contribute but I need some guidance
On Tuesday, 30 June 2015 22:06:06 UTC+1, Maria Cerase wrote:
Hello Bryan,
my module is ready in my repository called bokeh-london, some of the repository is not needed for bokeh, plus the csv file here is coded as if staying in the same directory as the .py file. What would I need to do for you guys to accept a pull request?
On Saturday, 27 June 2015 15:26:11 UTC+1, Bryan Van de ven wrote:
Hi Maria,
We would certainly love to have this kind of contribution. I will mention that we are also currently try to integrate better/more easily with other common GIS formats, so that it’s not necessary to do much (or any) data formatting up front to use it with Bokeh.
I am a Python novice looking to learn more especially with regards to data visualization and I chose to use the Bokeh Library for that. I wanted to use your figure charts to display a map of London Postcodes but noticed your sample data only covers the United States.
I set off to create a csv and dictionary data set to mimic your very own us_counties module. I am still working on the module but I wanted to ask in case you find it good, how it could bee included in your sample data module.
