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[dask-on-ray] Fix Dask-on-Ray examples in docs (#14461)

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Clark Zinzow 2021-03-17 11:37:32 -06:00 • committed by GitHub
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doc/source/dask-on-ray.rst
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@ -35,11 +35,11 @@ Here's an example:
import ray import ray
from ray.util.dask import ray_dask_get from ray.util.dask import ray_dask_get
import dask
import dask.array as da import dask.array as da
import dask.dataframe as dd import dask.dataframe as dd
import numpy as np import numpy as np
import pandas as pd import pandas as pd
import time
# Start Ray. # Start Ray.
# Tip: If you're connecting to an existing cluster, use ray.init(address="auto"). # Tip: If you're connecting to an existing cluster, use ray.init(address="auto").
@ -56,7 +56,7 @@ Here's an example:
df = dd.from_pandas(pd.DataFrame( df = dd.from_pandas(pd.DataFrame(
np.random.randint(0, 100, size=(1024, 2)), np.random.randint(0, 100, size=(1024, 2)),
columns=["age", "grade"])) columns=["age", "grade"]), npartitions=2)
df.groupby(["age"]).mean().compute() df.groupby(["age"]).mean().compute()
@ -156,10 +156,10 @@ Simply set the `dataframe_optimize` configuration option to our optimizer functi
import ray import ray
from ray.util.dask import ray_dask_get, dataframe_optimize from ray.util.dask import ray_dask_get, dataframe_optimize
import dask
import dask.dataframe as dd import dask.dataframe as dd
import numpy as np import numpy as np
import pandas as pd import pandas as pd
import time
# Start Ray. # Start Ray.
# Tip: If you're connecting to an existing cluster, use ray.init(address="auto"). # Tip: If you're connecting to an existing cluster, use ray.init(address="auto").