Hello, thanks for this great module! I would like to know the proper technique to plot multiple line on a PandasFigure? What id the proper Data Frame and how to call it? for example: i would like to plot two lines on the same figure defined by x,y. How can i tel d3py to use a dataframe like that: x y 0 [1, 2] [10, 11] 1 [3, 4] [13, 14] thanks

...ies.

• the displayable module knows how to display figures
• the deployable module knows how to deploy figures
• favor os.sep of hardcoding / in path
• replaced string replace calls with jinja2 template module

python d3py_bar.py Cleanup after exception: <type 'exceptions.AttributeError'>: 'module' object has no attribute 'xAxis' Cleaning temp files Traceback (most recent call last): File "d3py_bar.py", line 12, in p += d3py.xAxis(x = "apple_type") AttributeError: 'module' object has no attribute 'xAxis' Cleaning temp files Exception AttributeError: "'Bar' object has no attribute 'cleanup'" in <bound method Bar.del of <d3py.geoms.Bar object at 0x272f650>> ignored

I tried plotting something with x-axis data of type long and it gave me the following error on line 164 of

TypeError: 0 is not JSON serializable

The line that threw the error is: https://github.com/mikedewar/D3py/blob/master/d3py/d3py.py#L164

python test.py you can find your chart at http://localhost:8000/basic_example/basic_example.html Shutting down httpd Cleaning temp files

The browser window opens but the server is already shut down.

Source code:

import d3py
import pandas
import numpy as np
# some test data
T = 100
# this is a data frame with three columns (we only use 2)
df = pandas.DataFrame({
    "time" : range(T),
    "pressure": np.random.rand(T),
    "temp" : np.random.rand(T)
})
## build up a figure, ggplot2 style
# instantiate the figure object
fig = d3py.Figure(df, name="basic_example", width=300, height=300) 
# add some red points
fig += d3py.geoms.Point(x="pressure", y="temp", fill="red")
# writes 3 files, starts up a server, then draws some beautiful points in Chrome
fig.show()

The major update is the addition of Vega syntax via incorporation of the Vincent project: https://github.com/wrobstory/vincent

None of the original API/syntax for building/showing figures has changed- you can still build figures from the ground up using d3py.geoms. Now you can also build them with vega syntax.

I also did some code commenting and PEP8 cleaning, started to build some more comprehensive tests (need a lot more work), and moved some of the methods in figure.py around so that the class logic flows better for the first-time reader.

I cloned d3py and tried to run the d3py_graph.py example, but ran into a problem.

$ git clone git://github.com/mikedewar/d3py.git
[...]
$ cd d3py/
$ python setup.py install
[...]
$ cd examples/
$ python d3py_graph.py 
Traceback (most recent call last):
  File "d3py_graph.py", line 15, in <module>
    with d3py.NetworkXFigure(G, width=500, height=500) as p:
  File "[...]/local/lib/python2.7/site-packages/d3py/networkx_figure.py", line 39, in __init__
    port=port, **kwargs
TypeError: __init__() takes exactly 10 arguments (9 given)
Error in clean-up: 'NetworkXFigure' object has no attribute 'httpd'

I just discovered d3py a few minutes ago, so forgive me if I've missed something. I got the demo to run like this:

$ git diff
diff --git a/examples/d3py_graph.py b/examples/d3py_graph.py
index 99c73ba..b1d9e6a 100644
--- a/examples/d3py_graph.py
+++ b/examples/d3py_graph.py
@@ -12,6 +12,6 @@ G.add_edge(3,4)
 G.add_edge(4,2)

 # use 'with' if you are writing a script and want to serve this up forever
-with d3py.NetworkXFigure(G, width=500, height=500) as p:
+with d3py.NetworkXFigure(G, width=500, height=500, host='localhost') as p:
     p += d3py.ForceLayout()
     p.show()

Unlike PandasFigure(Figure), NetworkXFigure(Figure) does not have a default host argument.

scenario: In python web applications, one would want to insert d3 visualization with d3py by "printing" html snippet to an existing html. For example, googleVis package in R provides such functionality in its print function, which can be used with R markdown to produce html page easily.

The sample code in the readme works as it is, but if I change line 17 to:

fig += d3py.geoms.Bar(x="time", y="temp",fill="red")

It fails to render in firefox or chrome. However, all of the requests (js, json, html) return 200 except for the favicon.ico.

As the title says... this should help with ipython compatibility and would vastly simplify cleanup. This could be done with simple modifications to the figure object and a new HTTPServer object (HTTPFileStreamServer?).

Added host argument to NetworkXFigure prototype, and to the internal sup...erclass call.

This fixes a bug in which the NetworkXFigure could not be drawn, due to an incorrect number of passed arguments to the superclass.

There is a small typo in d3py/figure.py.

Should read standard rather than sandard.

Semi-automated pull request generated by https://github.com/timgates42/meticulous/blob/master/docs/NOTE.md

I tried to run the example code:

import d3py
import pandas
import numpy as np

# some test data
T = 100
# this is a data frame with three columns (we only use 2)
df = pandas.DataFrame({
    "time": range(T),
    "pressure": np.random.rand(T),
    "temp": np.random.rand(T)
})
## build up a figure, ggplot2 style
# instantiate the figure object
fig = d3py.PandasFigure(df, name="basic_example", width=300, height=300)
# add some red points
fig += d3py.geoms.Point(x="pressure", y="temp", fill="red")
# writes 3 files, starts up a server, then draws some beautiful points in Chrome
fig.show() 

but failed:

C:\Python27\python.exe J:/github_repos/DeepSep/aaa.py
You can find your chart at http://localhost:8000/basic_example.html
Shutting down httpd

Process finished with exit code 0

Have any ideas? Thanks.

`import d3py import networkx as nx

import logging logging.basicConfig(level=logging.DEBUG)

G=nx.Graph() G.add_edge(1,2) G.add_edge(1,3) G.add_edge(3,2) G.add_edge(3,4) G.add_edge(4,2)

use 'with' if you are writing a script and want to serve this up forever

with d3py.NetworkXFigure(G, width=500, height=500) as p: p += d3py.ForceLayout() p.show() `

You need to setup ipython to the requirements along with networkx

You also need to modify the example specifically d3py_vega_scatter.py to import numpy as np