Crashing browser when generating histogram for fairly large dataset

The dataset I have (provided in the following link) has the following dimensions: (185459, 29). matplotlib has no trouble generating one with plt.hist(data_2015['net_value'], bins=50), for instance.

from altair import *
import pandas as pd
from urllib.request import urlretrieve

url = 'https://cl.ly/2T2Q0O1c2k35/download/2016-08-08-current-year.xz'
path = '/tmp/2016-08-08-current-year.xz'
urlretrieve(url, path)

data_2015 = pd.read_csv(path)
Chart(data_2015).mark_bar().encode(
    x=X('net_value', bin=Bin(maxbins=50)),
    y='count(*)',
)

[jakevdp]

If you’re creating a gist, you could add the dataset CSV files to the gist as well and reference them by URL.

Long term we should have a better story for this, though. I’ll put some thought into it. If you have thoughts on how we might do that most effectively, please let us know.

[jakevdp]

I think just dataframe.csv alone should work in the current version, if it’s in the same directory as your .ipynb file.