SciPy

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

issue

i traied use hess= {2-point’, ‘3-point’, ‘cs’, HessianUpdateStrategy} according to doc,but it failed.

Reproducing code example:

import numpy as np
from scipy.optimize import minimize,show_options,SR1
import sys
def rosen(x):
    """The Rosenbroc

What's your use case?
In other words, what's your pain point?

Variable names and their icons are shown as vertical header. This

• is ugly,
• doesn't show the selection properly,
• doesn't allow sorting by variable names,
• doesn't allow selection by dragging across a range of variables (though one can drag across rows in the table itself),
• and possibly something else.

<img wi

Description of the desired feature

The spacing parameter of the rolling_window function controls the distance between the center of two adjacent windows.
Nevertheless, the docstring reads:

    spacing : float, tuple = (s_north, s_east), or None
        The window size in the South-North and West-East directions,
        respectively. A single value means that the size is equal