def encode(encoding, obj):
keys = obj._internal.key_array()
if isinstance(keys, (vaex.strings.StringList32, vaex.strings.StringList64)):
keys = vaex.strings.to_arrow(keys)
keys = encoding.encode('array', keys)
clsname = obj._internal.__class__.__name__
return {
'class': clsname,
'dtype': encoding.encode('dtype', vaex.dtype(obj.dtype)),
'data': {
'keys': keys,
'null_value': obj.null_value,
'nan_count': obj.nan_count,
'missing_count': obj.null_count,
'fingerprint': obj.fingerprint,
}
}
async def root():
with (HERE / 'index.html').open() as f:
content = f.read()
data = []
for name, ds in datasets.items():
data.append({
'name':
name,
'rows':
ds.row_count,
'column':
list(ds),
'schema': [{
'name': k,
'type': str(vaex.dtype(v))
} for k, v in ds.schema().items()]
})
content = content.replace(
'// DATA', 'app.$data.datasets = %s\n app.$data.graphql = %s' %
(json.dumps(data), json.dumps(vaex.settings.server.graphql)))
return content
def __init__(self, ar, type):
self.ar = ar # this should behave like a numpy array
self.type = vaex.dtype(type)