Stacked bar chart hover

Hi all,So my data for my stacked bar chart looks as follows:

Week of Stat d1_stat d2_stat d3_stat d4_stat d5_stat \

0 Mar-06 count 1.000000 1.000000 1.000000 1.000000 1.000000

1 Mar-06 mean 0.001877 3.985551 28.992111 0.105810 1.071979

2 Mar-06 std NaN NaN NaN NaN NaN

3 Mar-06 min 0.001877 3.985551 28.992111 0.105810 1.071979

4 Mar-06 25% 0.001877 3.985551 28.992111 0.105810 1.071979

5 Mar-06 50% 0.001877 3.985551 28.992111 0.105810 1.071979

6 Mar-06 75% 0.001877 3.985551 28.992111 0.105810 1.071979

7 Mar-06 max 0.001877 3.985551 28.992111 0.105810 1.071979
8 Mar-13 … … … … … …
9 Mar-13 … … … … … …

``

A row is a data point for a week and weeks repeat themselves in the data frame as to get multiple statistics for each week as seen in the example. That functionality is handled when the graph is created. The d# here represents each step of each column (d1 first step, d2 second, and so on). So, for example, I want to show a hover tooltip that shows: min, max, and count for the week of Mar-06 (Mar-06 will be one column in the bar graph). I also want this hover tooltip to change values depending on the step you are moused over (the d# would change between steps)

Is this possible?

Thanks,

Reuben

P.S. Here is an example of what the graph looks like

Just to avoid confusion this is what a full data frame would resemble. The dots for d1-d6 represent values and that’s what the DF is graphed based off of. “Week of” is the x axis and the y is each d column. With each d# being each stack for each week

    d1    d2    d3    d4    d5    d6    Week of    Stat    d1_stat    d2_stat    d3_stat    d4_stat    d5_stat  \

0 . . . . . . Mar-06 count 1.000000 1.000000 1.000000 1.000000 1.000000

1 . . . . . . Mar-06 mean 0.001877 3.985551 28.992111 0.105810 1.071979

2 . . . . . . Mar-06 std NaN NaN NaN NaN NaN

3 Mar-06 min 0.001877 3.985551 28.992111 0.105810 1.071979

4 continue down Mar-06 25% 0.001877 3.985551 28.992111 0.105810 1.071979

5 Mar-06 50% 0.001877 3.985551 28.992111 0.105810 1.071979

6 Mar-06 75% 0.001877 3.985551 28.992111 0.105810 1.071979

7 Mar-06 max 0.001877 3.985551 28.992111 0.105810 1.071979
8 Mar-13 … … … … … …
9 Mar-13 … … … … … …

``

···

On Tuesday, August 16, 2016 at 10:38:25 AM UTC-4, Reuben Jacobs wrote:

Hi all,So my data for my stacked bar chart looks as follows:

Week of Stat d1_stat d2_stat d3_stat d4_stat d5_stat \

0 Mar-06 count 1.000000 1.000000 1.000000 1.000000 1.000000

1 Mar-06 mean 0.001877 3.985551 28.992111 0.105810 1.071979

2 Mar-06 std NaN NaN NaN NaN NaN

3 Mar-06 min 0.001877 3.985551 28.992111 0.105810 1.071979

4 Mar-06 25% 0.001877 3.985551 28.992111 0.105810 1.071979

5 Mar-06 50% 0.001877 3.985551 28.992111 0.105810 1.071979

6 Mar-06 75% 0.001877 3.985551 28.992111 0.105810 1.071979

7 Mar-06 max 0.001877 3.985551 28.992111 0.105810 1.071979
8 Mar-13 … … … … … …
9 Mar-13 … … … … … …

``

A row is a data point for a week and weeks repeat themselves in the data frame as to get multiple statistics for each week as seen in the example. That functionality is handled when the graph is created. The d# here represents each step of each column (d1 first step, d2 second, and so on). So, for example, I want to show a hover tooltip that shows: min, max, and count for the week of Mar-06 (Mar-06 will be one column in the bar graph). I also want this hover tooltip to change values depending on the step you are moused over (the d# would change between steps)

Is this possible?

Thanks,

Reuben

P.S. Here is an example of what the graph looks like

Hi R euben - I think you’re running into
this issue:

···

https://github.com/bokeh/bokeh/issues/4347
On 8/16/16 8:01 AM, Reuben Jacobs
wrote:

    Just to avoid confusion this is what a full data

frame would resemble. The dots for d1-d6 represent values and
that’s what the DF is graphed based off of. “Week of” is the x
axis and the y is each d column. With each d# being each stack
for each week

                        d1    d2    d3  

d4 d5 d6 Week of
Stat
d1_stat d2_stat d3_stat d4_stat d5_stat
\

0
. .
.
.
.
.
Mar-06
count 1.000000
1.000000
1.000000
1.000000
1.000000

1
. .
.
.
.
.
Mar-06
mean 0.001877
3.985551
28.992111
0.105810
1.071979

2
. .
.
.
.
.
Mar-06
std NaN
NaN
NaN
NaN
NaN

3
Mar-06
min 0.001877
3.985551
28.992111
0.105810
1.071979

4
continue
down Mar-06
25%
0.001877
3.985551
28.992111
0.105810
1.071979

5
Mar-06
50%
0.001877
3.985551
28.992111
0.105810
1.071979

6
Mar-06
75%
0.001877
3.985551
28.992111
0.105810
1.071979

7
Mar-06
max 0.001877
3.985551
28.992111
0.105810
1.071979

                8  
                                             
                    Mar-13  
      ...  
        ...  
         ...  
         ...  
      ...  
       ...

                9  
                                             
                    Mar-13  
      ...  
       ...  
             ...  
         ...  
      ...  
      ...

``

      On Tuesday, August 16, 2016 at 10:38:25 AM UTC-4, Reuben

Jacobs wrote:

          Hi all,So my data for my stacked bar chart

looks as follows:

                    Week of    Stat    d1_stat    d2_stat

d3_stat d4_stat d5_stat \

0 Mar-06
count 1.000000 1.000000
1.000000 1.000000 1.000000

1 Mar-06
mean 0.001877 3.985551
28.992111 0.105810 1.071979

2 Mar-06
std
NaN NaN
NaN NaN NaN

3 Mar-06
min 0.001877 3.985551
28.992111 0.105810 1.071979

4 Mar-06
25% 0.001877 3.985551
28.992111 0.105810 1.071979

5 Mar-06
50% 0.001877 3.985551
28.992111 0.105810 1.071979

6 Mar-06
75% 0.001877 3.985551
28.992111 0.105810 1.071979

7 Mar-06
max 0.001877 3.985551
28.992111 0.105810 1.071979

                      8             Mar-13             ...          
...                ...                ...
        ...              ...

                      9             Mar-13             ...          

… …
… … …

                      ...

``

            A row is a data point for a week and weeks repeat

themselves in the data frame as to get multiple
statistics for each week as seen in the example. That
functionality is handled when the graph is created. The
d# here represents each step of each column (d1 first
step, d2 second, and so on). So, for example, I want to
show a hover tooltip that shows: min, max, and count for
the week of Mar-06 (Mar-06 will be one column in the bar
graph). I also want this hover tooltip to change values
depending on the step you are moused over (the d# would
change between steps)

Is this possible?

Thanks,

Reuben

P.S. Here is an example of what the graph looks like

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Sarah Bird
Developer, Bokeh

    [
      ![Continuum Analytics](http://docs.continuum.io/_static/img/ContinuumWordmark.png)
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Hi Sarah,

Looks promising. I will look into it. Although, I am using a bar chart not a plot nor am I using Jupyter Notebook.

Thanks,

Reuben

···

On Tuesday, August 16, 2016 at 4:03:47 PM UTC-4, Sarah Bird wrote:

Hi R euben - I think you’re running into
this issue: https://github.com/bokeh/bokeh/issues/4347

  On 8/16/16 8:01 AM, Reuben Jacobs > wrote:
    Just to avoid confusion this is what a full data

frame would resemble. The dots for d1-d6 represent values and
that’s what the DF is graphed based off of. “Week of” is the x
axis and the y is each d column. With each d# being each stack
for each week

                        d1    d2    d3  

d4 d5 d6 Week of
Stat
d1_stat d2_stat d3_stat d4_stat d5_stat
\

0
. .
.
.
.
.
Mar-06
count 1.000000
1.000000
1.000000
1.000000
1.000000

1
. .
.
.
.
.
Mar-06
mean 0.001877
3.985551
28.992111
0.105810
1.071979

2
. .
.
.
.
.
Mar-06
std NaN
NaN
NaN
NaN
NaN

3
Mar-06
min 0.001877
3.985551
28.992111
0.105810
1.071979

4
continue
down Mar-06
25%
0.001877
3.985551
28.992111
0.105810
1.071979

5
Mar-06
50%
0.001877
3.985551
28.992111
0.105810
1.071979

6
Mar-06
75%
0.001877
3.985551
28.992111
0.105810
1.071979

7
Mar-06
max 0.001877
3.985551
28.992111
0.105810
1.071979

                8  
                                             
                    Mar-13  
      ...  
        ...  
         ...  
         ...  
      ...  
       ...

                9  
                                             
                    Mar-13  
      ...  
       ...  
             ...  
         ...  
      ...  
      ...

``

      On Tuesday, August 16, 2016 at 10:38:25 AM UTC-4, Reuben > > Jacobs wrote:
          Hi all,So my data for my stacked bar chart

looks as follows:

                    Week of    Stat    d1_stat    d2_stat

d3_stat d4_stat d5_stat \

0 Mar-06
count 1.000000 1.000000
1.000000 1.000000 1.000000

1 Mar-06
mean 0.001877 3.985551
28.992111 0.105810 1.071979

2 Mar-06
std
NaN NaN
NaN NaN NaN

3 Mar-06
min 0.001877 3.985551
28.992111 0.105810 1.071979

4 Mar-06
25% 0.001877 3.985551
28.992111 0.105810 1.071979

5 Mar-06
50% 0.001877 3.985551
28.992111 0.105810 1.071979

6 Mar-06
75% 0.001877 3.985551
28.992111 0.105810 1.071979

7 Mar-06
max 0.001877 3.985551
28.992111 0.105810 1.071979

                      8             Mar-13             ...          
...                ...                ...
        ...              ...

                      9             Mar-13             ...          

… …
… … …

                      ...

``

            A row is a data point for a week and weeks repeat

themselves in the data frame as to get multiple
statistics for each week as seen in the example. That
functionality is handled when the graph is created. The
d# here represents each step of each column (d1 first
step, d2 second, and so on). So, for example, I want to
show a hover tooltip that shows: min, max, and count for
the week of Mar-06 (Mar-06 will be one column in the bar
graph). I also want this hover tooltip to change values
depending on the step you are moused over (the d# would
change between steps)

Is this possible?

Thanks,

Reuben

P.S. Here is an example of what the graph looks like

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  For more options, visit [https://groups.google.com/a/continuum.io/d/optout](https://groups.google.com/a/continuum.io/d/optout).


Sarah Bird
Developer, Bokeh

    [
      <img alt="Continuum Analytics" src="https://lh6.googleusercontent.com/proxy/VYgVjggTk1hCXSN9wFkffE3I6kxTvJ51tT4KvDXOuKbs1WyFG66k7kt2-vkDimbyxfWtP-d1paJmstMYhPPnDYSUF4rLPoYM2GM2QFM=w5000-h5000" style="width:150px;min-height:30px" height="30px" width="150px">
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