Feature Request: Support numpy.int64 in IPython notebook.

[MGwynne]

Currently, loading data from pandas DataFrames seems to be problematic as pandas uses numpy.int64 types, which apparently (?) aren't fully supported by python-nvd3 when displayed in IPython. It would be great if this was natively supported, so one could take data directly from the pandas DataFrame without converting back to long/int.

For example:

# This demo requires the installation of the python-nvd3 module.
# This can be downloaded from https://github.com/areski/python-nvd3 (the zip on the right)
# and installed via "pip install path_to_zip".
import random
from IPython import display as d
import nvd3
nvd3.ipynb.initialize_javascript(use_remote=True)

import numpy as np
import pandas as pd

df = pd.DataFrame({'x': range(nb_element), 'y': [i * random.randint(1, 10) for i in     range(nb_element)]})


chart3=nvd3.lineWithFocusChart(name="focusChart",height=450)
nb_element = 100
xdata = list(df['x'].values)
ydata = list(df['y'].values)
chart3.add_serie(x=xdata,y=ydata,name="random data")
chart3

yields "<nvd3.lineWithFocusChart.lineWithFocusChart instance at 0x0000000008BDE988>", while

# This demo requires the installation of the python-nvd3 module.
# This can be downloaded from https://github.com/areski/python-nvd3 (the zip on the right)
# and installed via "pip install path_to_zip".
import random
from IPython import display as d
import nvd3
nvd3.ipynb.initialize_javascript(use_remote=True)

import numpy as np
import pandas as pd

df = pd.DataFrame({'x': range(nb_element), 'y': [i * random.randint(1, 10) for i in     range(nb_element)]})


chart3=nvd3.lineWithFocusChart(name="focusChart",height=450)
nb_element = 100
xdata = list(long(x) for x in df['x'].values)
ydata = list(long(x) for x in df['y'].values)
chart3.add_serie(x=xdata,y=ydata,name="random data")
chart3

yields the correct graph displayed inline in IPython notebook.

[areski]

I suppose it's a matter of parsing the data properly in add_series
https://github.com/areski/python-nvd3/blob/master/nvd3/NVD3Chart.py#L175

I would appreciate if you can come up with a pull request to fix it and ensure it's backward compatible for peoples not using pandas.

[MGwynne]

I'll try to have a look at this this weekend.

[areski]

closing for no activity