Expand implementation for DataFrame constructor to make possible construct from dictionaries with Modin entities as values

Describe the problem

We should expand implementation of DataFrame constructor to make possible to create Modin DataFrame from dictionaries with Modin Series as dict values with fast way. For now we have the follow warning:

UserWarning: Distributing <class 'dict'> object. This may take some time.

from time import time as timer

import numpy as np
# import pandas as pd
import modin.pandas as pd
import ray
ray.init()

nrows = 1000_000_000
df = pd.DataFrame({"a": np.random.rand(nrows), "b": np.random.rand(nrows)})

t = timer()
df2 = pd.DataFrame({"c": df.a})
print(f'df creation time: {timer() - t} s')

The result on 112 CPUs, Ray engine:

df creation time: 3.937314748764038 s   # Pandas is used
df creation time: 24.079696655273438 s # Modin is used

[prutskov]

What about cpu count? Engine?

The info related of cpu count was added in the PR description. The execution engine you can see in the reproducer - Ray.

[dchigarev]

The #5193 introduces a fast way only for cases when all of the dictionary values are modin Series’s. Thus reopening the issue to indicate that the implementation for other cases is still missing.