String values in X_Axis

On Tue, Feb 28, 2017 at 2:10 PM, Sayak Paul spsayakpaul@gmail.com wrote:

Hello Bryan.

I don’t want the small squares as shown here: http://bokeh.pydata.org/en/latest/docs/user_guide/charts.html#bar-charts. And in place of numeric values, I want strings in x-axis. What should I do?

–

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Thanks and Regards,
Sayak Paul,

Placement Representative,

Department of IT,

Netaji Subhash Engineering College,

2013 - 17

Phone: +918981257929

Email-ID: spsayakpaul@gmail.com

On Feb 28, 2017 7:01 PM, “Sayak Paul” spsayakpaul@gmail.com wrote:

I don’t Sum(Accuracy) as Y-Label. What Should I do?

On Tue, Feb 28, 2017 at 2:10 PM, Sayak Paul spsayakpaul@gmail.com wrote:

Hello Bryan.

I don’t want the small squares as shown here: http://bokeh.pydata.org/en/latest/docs/user_guide/charts.html#bar-charts. And in place of numeric values, I want strings in x-axis. What should I do?

–

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

–
Thanks and Regards,
Sayak Paul,

Placement Representative,

Department of IT,

Netaji Subhash Engineering College,

2013 - 17

Phone: +918981257929

Email-ID: spsayakpaul@gmail.com

On Tue, Feb 28, 2017 at 6:57 PM, Sayak Paul spsayakpaul@gmail.com wrote:

Anything onw this?

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On Feb 28, 2017 7:01 PM, “Sayak Paul” spsayakpaul@gmail.com wrote:

I don’t Sum(Accuracy) as Y-Label. What Should I do?

On Tue, Feb 28, 2017 at 2:10 PM, Sayak Paul spsayakpaul@gmail.com wrote:

Hello Bryan.

I don’t want the small squares as shown here: http://bokeh.pydata.org/en/latest/docs/user_guide/charts.html#bar-charts. And in place of numeric values, I want strings in x-axis. What should I do?

–

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–
Thanks and Regards,
Sayak Paul,

Placement Representative,

Department of IT,

Netaji Subhash Engineering College,

2013 - 17

Phone: +918981257929

Email-ID: spsayakpaul@gmail.com

On Wed, Mar 1, 2017 at 9:11 AM, Tyler Nickerson tylerjnickerson@gmail.com wrote:

Hi Sayak,

You can remove the legend by passing legend=None to your Bar object when you create your chart. This can also be done after creating your chart by setting the location attribute of the legend attribute to None. Similarly, you can set your axis labels using either the ylabel and xlabel arguments or assigning new values to the corresponding attributes after creating your chart. Setting these values through their arguments is usually easier but, accessing them through the object attributes can be useful too. Here are some examples of what these approaches might look like in code.

Passing arguments to Bar:

my_bar = Bar(..., ylabel='my_y_label', legend=None)

Assigning desired values to attributes:

my_bar = Bar(...)
my_bar.yaxis[0].axis_label = 'my_y_label'
my_bar.legend[0].location = None

You can read more about tweaking the appearance of your plot here. This page deals with plots created using the plotting module, but there is a lot of overlap between the plotting and charts modules since charts is just a higher level abstraction of the plotting module. There are also some extra examples for bokeh charts here.

​

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On Tue, Feb 28, 2017 at 6:57 PM, Sayak Paul spsayakpaul@gmail.com wrote:

Anything onw this?

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On Feb 28, 2017 7:01 PM, “Sayak Paul” spsayakpaul@gmail.com wrote:

I don’t Sum(Accuracy) as Y-Label. What Should I do?

On Tue, Feb 28, 2017 at 2:10 PM, Sayak Paul spsayakpaul@gmail.com wrote:

Hello Bryan.

I don’t want the small squares as shown here: http://bokeh.pydata.org/en/latest/docs/user_guide/charts.html#bar-charts. And in place of numeric values, I want strings in x-axis. What should I do?

–

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

–
Thanks and Regards,
Sayak Paul,

Placement Representative,

Department of IT,

Netaji Subhash Engineering College,

2013 - 17

Phone: +918981257929

Email-ID: spsayakpaul@gmail.com

On Wed, Mar 1, 2017 at 9:22 AM, Sayak Paul spsayakpaul@gmail.com wrote:

Thank you very much.

–

On Wed, Mar 1, 2017 at 9:11 AM, Tyler Nickerson tylerjnickerson@gmail.com wrote:

Hi Sayak,

You can remove the legend by passing legend=None to your Bar object when you create your chart. This can also be done after creating your chart by setting the location attribute of the legend attribute to None. Similarly, you can set your axis labels using either the ylabel and xlabel arguments or assigning new values to the corresponding attributes after creating your chart. Setting these values through their arguments is usually easier but, accessing them through the object attributes can be useful too. Here are some examples of what these approaches might look like in code.

Passing arguments to Bar:

my_bar = Bar(..., ylabel='my_y_label', legend=None)

Assigning desired values to attributes:

my_bar = Bar(...)
my_bar.yaxis[0].axis_label = 'my_y_label'
my_bar.legend[0].location = None

You can read more about tweaking the appearance of your plot here. This page deals with plots created using the plotting module, but there is a lot of overlap between the plotting and charts modules since charts is just a higher level abstraction of the plotting module. There are also some extra examples for bokeh charts here.

​

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On Tue, Feb 28, 2017 at 6:57 PM, Sayak Paul spsayakpaul@gmail.com wrote:

Anything onw this?

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On Feb 28, 2017 7:01 PM, “Sayak Paul” spsayakpaul@gmail.com wrote:

I don’t Sum(Accuracy) as Y-Label. What Should I do?

On Tue, Feb 28, 2017 at 2:10 PM, Sayak Paul spsayakpaul@gmail.com wrote:

Hello Bryan.

I don’t want the small squares as shown here: http://bokeh.pydata.org/en/latest/docs/user_guide/charts.html#bar-charts. And in place of numeric values, I want strings in x-axis. What should I do?

–

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

–
Thanks and Regards,
Sayak Paul,

Placement Representative,

Department of IT,

Netaji Subhash Engineering College,

2013 - 17

Phone: +918981257929

Email-ID: spsayakpaul@gmail.com

On Tue, Feb 28, 2017 at 7:58 PM, Sayak Paul spsayakpaul@gmail.com wrote:

And one more thing. If I want to do add the exact value on top of the bars with respect to each one, what should I do?

–

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On Wed, Mar 1, 2017 at 9:22 AM, Sayak Paul spsayakpaul@gmail.com wrote:

Thank you very much.

–

On Wed, Mar 1, 2017 at 9:11 AM, Tyler Nickerson tylerjnickerson@gmail.com wrote:

Hi Sayak,

You can remove the legend by passing legend=None to your Bar object when you create your chart. This can also be done after creating your chart by setting the location attribute of the legend attribute to None. Similarly, you can set your axis labels using either the ylabel and xlabel arguments or assigning new values to the corresponding attributes after creating your chart. Setting these values through their arguments is usually easier but, accessing them through the object attributes can be useful too. Here are some examples of what these approaches might look like in code.

Passing arguments to Bar:

my_bar = Bar(..., ylabel='my_y_label', legend=None)

Assigning desired values to attributes:

my_bar = Bar(...)
my_bar.yaxis[0].axis_label = 'my_y_label'
my_bar.legend[0].location = None

You can read more about tweaking the appearance of your plot here. This page deals with plots created using the plotting module, but there is a lot of overlap between the plotting and charts modules since charts is just a higher level abstraction of the plotting module. There are also some extra examples for bokeh charts here.

​

–

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On Tue, Feb 28, 2017 at 6:57 PM, Sayak Paul spsayakpaul@gmail.com wrote:

Anything onw this?

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

On Feb 28, 2017 7:01 PM, “Sayak Paul” spsayakpaul@gmail.com wrote:

I don’t Sum(Accuracy) as Y-Label. What Should I do?

On Tue, Feb 28, 2017 at 2:10 PM, Sayak Paul spsayakpaul@gmail.com wrote:

Hello Bryan.

I don’t want the small squares as shown here: http://bokeh.pydata.org/en/latest/docs/user_guide/charts.html#bar-charts. And in place of numeric values, I want strings in x-axis. What should I do?

–

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

–
Thanks and Regards,
Sayak Paul,

Placement Representative,

Department of IT,

Netaji Subhash Engineering College,

2013 - 17

Phone: +918981257929

Email-ID: spsayakpaul@gmail.com

On Thu, Mar 2, 2017 at 11:59 PM, Tyler Nickerson tylerjnickerson@gmail.com wrote:

I can think of two ways to do this: either adding a text glyph to your bar chart or creating labels using SetLabel model from bokeh.models and adding them to your chart using the add_layout() method. There is info on labels here. Below is an example using SetLabel:

import pandas as pd
from [bokeh.io](http://bokeh.io) import output_file, show
from bokeh.models import ColumnDataSource, LabelSet
from bokeh.charts import Bar
x = ['foo', 'bar', 'baz']
y = [1.001, 2.89, 3.14
]
text = [str(n) for n in y]
df = pd.DataFrame(dict(x=x, y=y, text=text))
bar = Bar(df, label='x', values='y', legend=None
)
# might not be necessary but makes working with LabelSet easier
source = ColumnDataSource(df)
labels = LabelSet(x='x', y='y', text='text', source=source, text_align='center'
)
bar.add_layout(labels)
output_file('test.html'
)
show(bar)

​

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On Tue, Feb 28, 2017 at 7:58 PM, Sayak Paul spsayakpaul@gmail.com wrote:

And one more thing. If I want to do add the exact value on top of the bars with respect to each one, what should I do?

–

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On Wed, Mar 1, 2017 at 9:22 AM, Sayak Paul spsayakpaul@gmail.com wrote:

Thank you very much.

–

On Wed, Mar 1, 2017 at 9:11 AM, Tyler Nickerson tylerjnickerson@gmail.com wrote:

Hi Sayak,

You can remove the legend by passing legend=None to your Bar object when you create your chart. This can also be done after creating your chart by setting the location attribute of the legend attribute to None. Similarly, you can set your axis labels using either the ylabel and xlabel arguments or assigning new values to the corresponding attributes after creating your chart. Setting these values through their arguments is usually easier but, accessing them through the object attributes can be useful too. Here are some examples of what these approaches might look like in code.

Passing arguments to Bar:

my_bar = Bar(..., ylabel='my_y_label', legend=None)

Assigning desired values to attributes:

my_bar = Bar(...)
my_bar.yaxis[0].axis_label = 'my_y_label'
my_bar.legend[0].location = None

You can read more about tweaking the appearance of your plot here. This page deals with plots created using the plotting module, but there is a lot of overlap between the plotting and charts modules since charts is just a higher level abstraction of the plotting module. There are also some extra examples for bokeh charts here.

​

–

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On Tue, Feb 28, 2017 at 6:57 PM, Sayak Paul spsayakpaul@gmail.com wrote:

Anything onw this?

–

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On Feb 28, 2017 7:01 PM, “Sayak Paul” spsayakpaul@gmail.com wrote:

I don’t Sum(Accuracy) as Y-Label. What Should I do?

On Tue, Feb 28, 2017 at 2:10 PM, Sayak Paul spsayakpaul@gmail.com wrote:

Hello Bryan.

I don’t want the small squares as shown here: http://bokeh.pydata.org/en/latest/docs/user_guide/charts.html#bar-charts. And in place of numeric values, I want strings in x-axis. What should I do?

–

You received this message because you are subscribed to the Google Groups “Bokeh Discussion - Public” group.

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

–
Thanks and Regards,
Sayak Paul,

Placement Representative,

Department of IT,

Netaji Subhash Engineering College,

2013 - 17

Phone: +918981257929

Email-ID: spsayakpaul@gmail.com

Thanks and Regards,
Sayak Paul,

Placement Representative,

Department of IT,

Netaji Subhash Engineering College,

2013 - 17

Phone: +918981257929

Email-ID: spsayakpaul@gmail.com

On Thu, Mar 2, 2017 at 6:13 PM, Sayak Paul spsayakpaul@gmail.com wrote:

Thanks again man.

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

On Thu, Mar 2, 2017 at 11:59 PM, Tyler Nickerson tylerjnickerson@gmail.com wrote:

I can think of two ways to do this: either adding a text glyph to your bar chart or creating labels using SetLabel model from bokeh.models and adding them to your chart using the add_layout() method. There is info on labels here. Below is an example using SetLabel:

import pandas as pd
from [bokeh.io](http://bokeh.io) import output_file, show
from bokeh.models import ColumnDataSource, LabelSet
from bokeh.charts import Bar
x = ['foo', 'bar', 'baz']
y = [1.001, 2.89, 3.14
]
text = [str(n) for n in y]
df = pd.DataFrame(dict(x=x, y=y, text=text))
bar = Bar(df, label='x', values='y', legend=None
)
# might not be necessary but makes working with LabelSet easier
source = ColumnDataSource(df)
labels = LabelSet(x='x', y='y', text='text', source=source, text_align='center'
)
bar.add_layout(labels)
output_file('test.html'
)
show(bar)

​

–

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

Thanks and Regards,
Sayak Paul,

Placement Representative,

Department of IT,

Netaji Subhash Engineering College,

2013 - 17

Phone: +918981257929

Email-ID: spsayakpaul@gmail.com

–

On Tue, Feb 28, 2017 at 7:58 PM, Sayak Paul spsayakpaul@gmail.com wrote:

And one more thing. If I want to do add the exact value on top of the bars with respect to each one, what should I do?

–

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On Wed, Mar 1, 2017 at 9:22 AM, Sayak Paul spsayakpaul@gmail.com wrote:

Thank you very much.

–

On Wed, Mar 1, 2017 at 9:11 AM, Tyler Nickerson tylerjnickerson@gmail.com wrote:

Hi Sayak,

You can remove the legend by passing legend=None to your Bar object when you create your chart. This can also be done after creating your chart by setting the location attribute of the legend attribute to None. Similarly, you can set your axis labels using either the ylabel and xlabel arguments or assigning new values to the corresponding attributes after creating your chart. Setting these values through their arguments is usually easier but, accessing them through the object attributes can be useful too. Here are some examples of what these approaches might look like in code.

Passing arguments to Bar:

my_bar = Bar(..., ylabel='my_y_label', legend=None)

Assigning desired values to attributes:

my_bar = Bar(...)
my_bar.yaxis[0].axis_label = 'my_y_label'
my_bar.legend[0].location = None

You can read more about tweaking the appearance of your plot here. This page deals with plots created using the plotting module, but there is a lot of overlap between the plotting and charts modules since charts is just a higher level abstraction of the plotting module. There are also some extra examples for bokeh charts here.

​

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On Tue, Feb 28, 2017 at 6:57 PM, Sayak Paul spsayakpaul@gmail.com wrote:

Anything onw this?

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On Feb 28, 2017 7:01 PM, “Sayak Paul” spsayakpaul@gmail.com wrote:

I don’t Sum(Accuracy) as Y-Label. What Should I do?

On Tue, Feb 28, 2017 at 2:10 PM, Sayak Paul spsayakpaul@gmail.com wrote:

Hello Bryan.

I don’t want the small squares as shown here: http://bokeh.pydata.org/en/latest/docs/user_guide/charts.html#bar-charts. And in place of numeric values, I want strings in x-axis. What should I do?

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Thanks and Regards,
Sayak Paul,

Placement Representative,

Department of IT,

Netaji Subhash Engineering College,

2013 - 17

Phone: +918981257929

Email-ID: spsayakpaul@gmail.com

On Sat, Mar 4, 2017 at 6:14 AM, Tyler Nickerson tylerjnickerson@gmail.com wrote:

No problem!

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On Thu, Mar 2, 2017 at 6:13 PM, Sayak Paul spsayakpaul@gmail.com wrote:

Thanks again man.

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On Thu, Mar 2, 2017 at 11:59 PM, Tyler Nickerson tylerjnickerson@gmail.com wrote:

I can think of two ways to do this: either adding a text glyph to your bar chart or creating labels using SetLabel model from bokeh.models and adding them to your chart using the add_layout() method. There is info on labels here. Below is an example using SetLabel:

import pandas as pd
from [bokeh.io](http://bokeh.io) import output_file, show
from bokeh.models import ColumnDataSource, LabelSet
from bokeh.charts import Bar
x = ['foo', 'bar', 'baz']
y = [1.001, 2.89, 3.14
]
text = [str(n) for n in y]
df = pd.DataFrame(dict(x=x, y=y, text=text))
bar = Bar(df, label='x', values='y', legend=None
)
# might not be necessary but makes working with LabelSet easier
source = ColumnDataSource(df)
labels = LabelSet(x='x', y='y', text='text', source=source, text_align='center'
)
bar.add_layout(labels)
output_file('test.html'
)
show(bar)

​

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Thanks and Regards,
Sayak Paul,

Placement Representative,

Department of IT,

Netaji Subhash Engineering College,

2013 - 17

Phone: +918981257929

Email-ID: spsayakpaul@gmail.com

–

On Tue, Feb 28, 2017 at 7:58 PM, Sayak Paul spsayakpaul@gmail.com wrote:

And one more thing. If I want to do add the exact value on top of the bars with respect to each one, what should I do?

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On Wed, Mar 1, 2017 at 9:22 AM, Sayak Paul spsayakpaul@gmail.com wrote:

Thank you very much.

–

On Wed, Mar 1, 2017 at 9:11 AM, Tyler Nickerson tylerjnickerson@gmail.com wrote:

Hi Sayak,

You can remove the legend by passing legend=None to your Bar object when you create your chart. This can also be done after creating your chart by setting the location attribute of the legend attribute to None. Similarly, you can set your axis labels using either the ylabel and xlabel arguments or assigning new values to the corresponding attributes after creating your chart. Setting these values through their arguments is usually easier but, accessing them through the object attributes can be useful too. Here are some examples of what these approaches might look like in code.

Passing arguments to Bar:

my_bar = Bar(..., ylabel='my_y_label', legend=None)

Assigning desired values to attributes:

my_bar = Bar(...)
my_bar.yaxis[0].axis_label = 'my_y_label'
my_bar.legend[0].location = None

You can read more about tweaking the appearance of your plot here. This page deals with plots created using the plotting module, but there is a lot of overlap between the plotting and charts modules since charts is just a higher level abstraction of the plotting module. There are also some extra examples for bokeh charts here.

​

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On Tue, Feb 28, 2017 at 6:57 PM, Sayak Paul spsayakpaul@gmail.com wrote:

Anything onw this?

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On Feb 28, 2017 7:01 PM, “Sayak Paul” spsayakpaul@gmail.com wrote:

I don’t Sum(Accuracy) as Y-Label. What Should I do?

On Tue, Feb 28, 2017 at 2:10 PM, Sayak Paul spsayakpaul@gmail.com wrote:

Hello Bryan.

I don’t want the small squares as shown here: http://bokeh.pydata.org/en/latest/docs/user_guide/charts.html#bar-charts. And in place of numeric values, I want strings in x-axis. What should I do?

–

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

–
Thanks and Regards,
Sayak Paul,

Placement Representative,

Department of IT,

Netaji Subhash Engineering College,

2013 - 17

Phone: +918981257929

Email-ID: spsayakpaul@gmail.com

Thanks and Regards,
Sayak Paul,

Placement Representative,

Department of IT,

Netaji Subhash Engineering College,

2013 - 17

Phone: +918981257929

Email-ID: spsayakpaul@gmail.com

On Sat, Mar 4, 2017 at 10:38 PM, Sayak Paul spsayakpaul@gmail.com wrote:

How to adjust the bar width?

–

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On Sat, Mar 4, 2017 at 6:14 AM, Tyler Nickerson tylerjnickerson@gmail.com wrote:

No problem!

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

–
Thanks and Regards,
Sayak Paul,

Placement Representative,

Department of IT,

Netaji Subhash Engineering College,

2013 - 17

Phone: +918981257929

Email-ID: spsayakpaul@gmail.com

On Thu, Mar 2, 2017 at 6:13 PM, Sayak Paul spsayakpaul@gmail.com wrote:

Thanks again man.

–

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

On Thu, Mar 2, 2017 at 11:59 PM, Tyler Nickerson tylerjnickerson@gmail.com wrote:

I can think of two ways to do this: either adding a text glyph to your bar chart or creating labels using SetLabel model from bokeh.models and adding them to your chart using the add_layout() method. There is info on labels here. Below is an example using SetLabel:

import pandas as pd
from [bokeh.io](http://bokeh.io) import output_file, show
from bokeh.models import ColumnDataSource, LabelSet
from bokeh.charts import Bar
x = ['foo', 'bar', 'baz']
y = [1.001, 2.89, 3.14
]
text = [str(n) for n in y]
df = pd.DataFrame(dict(x=x, y=y, text=text))
bar = Bar(df, label='x', values='y', legend=None
)
# might not be necessary but makes working with LabelSet easier
source = ColumnDataSource(df)
labels = LabelSet(x='x', y='y', text='text', source=source, text_align='center'
)
bar.add_layout(labels)
output_file('test.html'
)
show(bar)

​

–

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

Thanks and Regards,
Sayak Paul,

Placement Representative,

Department of IT,

Netaji Subhash Engineering College,

2013 - 17

Phone: +918981257929

Email-ID: spsayakpaul@gmail.com

–

On Tue, Feb 28, 2017 at 7:58 PM, Sayak Paul spsayakpaul@gmail.com wrote:

And one more thing. If I want to do add the exact value on top of the bars with respect to each one, what should I do?

–

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

On Wed, Mar 1, 2017 at 9:22 AM, Sayak Paul spsayakpaul@gmail.com wrote:

Thank you very much.

–

On Wed, Mar 1, 2017 at 9:11 AM, Tyler Nickerson tylerjnickerson@gmail.com wrote:

Hi Sayak,

You can remove the legend by passing legend=None to your Bar object when you create your chart. This can also be done after creating your chart by setting the location attribute of the legend attribute to None. Similarly, you can set your axis labels using either the ylabel and xlabel arguments or assigning new values to the corresponding attributes after creating your chart. Setting these values through their arguments is usually easier but, accessing them through the object attributes can be useful too. Here are some examples of what these approaches might look like in code.

Passing arguments to Bar:

my_bar = Bar(..., ylabel='my_y_label', legend=None)

Assigning desired values to attributes:

my_bar = Bar(...)
my_bar.yaxis[0].axis_label = 'my_y_label'
my_bar.legend[0].location = None

You can read more about tweaking the appearance of your plot here. This page deals with plots created using the plotting module, but there is a lot of overlap between the plotting and charts modules since charts is just a higher level abstraction of the plotting module. There are also some extra examples for bokeh charts here.

​

–

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On Tue, Feb 28, 2017 at 6:57 PM, Sayak Paul spsayakpaul@gmail.com wrote:

Anything onw this?

–

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On Feb 28, 2017 7:01 PM, “Sayak Paul” spsayakpaul@gmail.com wrote:

I don’t Sum(Accuracy) as Y-Label. What Should I do?

On Tue, Feb 28, 2017 at 2:10 PM, Sayak Paul spsayakpaul@gmail.com wrote:

Hello Bryan.

I don’t want the small squares as shown here: http://bokeh.pydata.org/en/latest/docs/user_guide/charts.html#bar-charts. And in place of numeric values, I want strings in x-axis. What should I do?

–

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

–
Thanks and Regards,
Sayak Paul,

Placement Representative,

Department of IT,

Netaji Subhash Engineering College,

2013 - 17

Phone: +918981257929

Email-ID: spsayakpaul@gmail.com

On Mar 6, 2017 11:57 AM, “Tyler Nickerson” tylerjnickerson@gmail.com wrote:

You can adjust the bar width with the bar_width parameter. bar_width takes a float value between 0 and 1 that represents the ratio of the bar’s width relative to the total space allocated for the bar when the chart is made. There is some more info on bar charts and other features of the charts module here and here.

​

–

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On Sat, Mar 4, 2017 at 10:38 PM, Sayak Paul spsayakpaul@gmail.com wrote:

How to adjust the bar width?

–

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On Sat, Mar 4, 2017 at 6:14 AM, Tyler Nickerson tylerjnickerson@gmail.com wrote:

No problem!

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

–
Thanks and Regards,
Sayak Paul,

Placement Representative,

Department of IT,

Netaji Subhash Engineering College,

2013 - 17

Phone: +918981257929

Email-ID: spsayakpaul@gmail.com

On Thu, Mar 2, 2017 at 6:13 PM, Sayak Paul spsayakpaul@gmail.com wrote:

Thanks again man.

–

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

On Thu, Mar 2, 2017 at 11:59 PM, Tyler Nickerson tylerjnickerson@gmail.com wrote:

I can think of two ways to do this: either adding a text glyph to your bar chart or creating labels using SetLabel model from bokeh.models and adding them to your chart using the add_layout() method. There is info on labels here. Below is an example using SetLabel:

import pandas as pd
from [bokeh.io](http://bokeh.io) import output_file, show
from bokeh.models import ColumnDataSource, LabelSet
from bokeh.charts import Bar
x = ['foo', 'bar', 'baz']
y = [1.001, 2.89, 3.14
]
text = [str(n) for n in y]
df = pd.DataFrame(dict(x=x, y=y, text=text))
bar = Bar(df, label='x', values='y', legend=None
)
# might not be necessary but makes working with LabelSet easier
source = ColumnDataSource(df)
labels = LabelSet(x='x', y='y', text='text', source=source, text_align='center'
)
bar.add_layout(labels)
output_file('test.html'
)
show(bar)

​

–

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

Thanks and Regards,
Sayak Paul,

Placement Representative,

Department of IT,

Netaji Subhash Engineering College,

2013 - 17

Phone: +918981257929

Email-ID: spsayakpaul@gmail.com

–

On Tue, Feb 28, 2017 at 7:58 PM, Sayak Paul spsayakpaul@gmail.com wrote:

And one more thing. If I want to do add the exact value on top of the bars with respect to each one, what should I do?

–

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

On Wed, Mar 1, 2017 at 9:22 AM, Sayak Paul spsayakpaul@gmail.com wrote:

Thank you very much.

–

On Wed, Mar 1, 2017 at 9:11 AM, Tyler Nickerson tylerjnickerson@gmail.com wrote:

Hi Sayak,

You can remove the legend by passing legend=None to your Bar object when you create your chart. This can also be done after creating your chart by setting the location attribute of the legend attribute to None. Similarly, you can set your axis labels using either the ylabel and xlabel arguments or assigning new values to the corresponding attributes after creating your chart. Setting these values through their arguments is usually easier but, accessing them through the object attributes can be useful too. Here are some examples of what these approaches might look like in code.

Passing arguments to Bar:

my_bar = Bar(..., ylabel='my_y_label', legend=None)

Assigning desired values to attributes:

my_bar = Bar(...)
my_bar.yaxis[0].axis_label = 'my_y_label'
my_bar.legend[0].location = None

You can read more about tweaking the appearance of your plot here. This page deals with plots created using the plotting module, but there is a lot of overlap between the plotting and charts modules since charts is just a higher level abstraction of the plotting module. There are also some extra examples for bokeh charts here.

​

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On Tue, Feb 28, 2017 at 6:57 PM, Sayak Paul spsayakpaul@gmail.com wrote:

Anything onw this?

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On Feb 28, 2017 7:01 PM, “Sayak Paul” spsayakpaul@gmail.com wrote:

I don’t Sum(Accuracy) as Y-Label. What Should I do?

On Tue, Feb 28, 2017 at 2:10 PM, Sayak Paul spsayakpaul@gmail.com wrote:

Hello Bryan.

I don’t want the small squares as shown here: http://bokeh.pydata.org/en/latest/docs/user_guide/charts.html#bar-charts. And in place of numeric values, I want strings in x-axis. What should I do?

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