I'm hoping to get an idea of the memory size of a dask.dataframe once I call .compute() on it

My current approach is

import dask.dataframe as dd
from dask.utils import format_bytes

ddf = dd.demo.make_timeseries(
    start="2000-01-01",
    end="2000-01-02",
    dtypes={"x": float, "y": float, "id": int},
    freq="10ms",
    partition_freq="24h",
)

format_bytes(ddf.memory_u

The stumpy.snippets feature is now completed in #283 which follows this work:

• The original published paper
• The supporting website with data examples

We have a rough notebook t

Similar to dask/dask#7800, we can replace our tmpfile context manager

https://github.com/dask/distributed/blob/5e5b9835a5e6929bb97acf94f0a2eecccc0b6a2f/distributed/utils.py#L862-L863

with tempfile.TemporaryFile from the standard library.

Brief Description of Fix

When I see docs I found [get_features_targets page](https://pyjanitor-devs.github.io/pyjanitor/reference/janitor.functions/janitor.get_features_targe

Problem description

Reading a dataset with eager's read functionality raises a ValueError when providing columns.

Example code (ideally copy-pastable)

import pandas as pd

from tempfile import TemporaryDirectory
from functools import partial
from storefact import get_store_from_url

from kartothek.io.eager import store_dataframes_as_dataset, read_dataset_as_data

In trying to write tests for #189, I'm finding very difficult to add columns to existing tests, as in some cases like the all_types table, the table is defined in a separate file than the tests and multiple tests try to write to the same table.

Additionally, our test suite doesn't prove that the data that are uploaded are the same as the data downloaded for all types.

We should consider m

For association testing and PCA (at least), it may be useful to have a function that imputes dosages/allele counts. With floating point values (i.e. from bgen), this can be very simple as a user, e.g. ds.call_genotype_probability.fillna(ds.call_genotype_probability.mean(dim="samples")). With alternate allele counts having a sentinel integer, it is a little more complicated. The best way t