csiborgtools/notebooks/field_prop.ipynb

In [1]:

import sys
import numpy as np
import matplotlib.pyplot as plt
import joblib
import scienceplots
sys.path.append("../")
import csiborgtools

plt.style.use(["science", "notebook"])
%matplotlib widget
%load_ext autoreload
%autoreload 2

In [2]:

d = np.load("/mnt/extraspace/rstiskalek/csiborg/split/clumps_07444_00951.npz")

In [12]:

%timeit d["232"]

772 µs ± 4.01 µs per loop (mean ± std. dev. of 7 runs, 1,000 loops each)

In [ ]:

In [2]:

paths = csiborgtools.read.Paths(**csiborgtools.paths_glamdring)
# cat = csiborgtools.read.ClumpsCatalogue(7444, paths)

In [3]:

paths.knn_path(7444, "auto", "la")

Out[3]:

'/mnt/extraspace/rstiskalek/csiborg/knn/auto/knncdf_07444_la.npz'

In [8]:

np.savez("test.npz", a=np.random.rand(510, 510, 510), b=np.random.rand(510, 510, 510))

In [15]:

d = np.load("test.npz")

In [16]:

d.files

Out[16]:

['a', 'b']

In [7]:

d.files

Out[7]:

['a', 'b']

In [ ]:

In [26]:

np.save("test.npy", np.array([]))

In [27]:

np.load("test.npy")

Out[27]:

array([], dtype=float64)

In [ ]:

In [ ]:

In [21]:

# paths.split_path(123, 7444, 952)

Out[21]:

'/mnt/extraspace/rstiskalek/csiborg/split/ic_00952/out_07444_123.npz'

In [4]:

nsim = 7444
nsnap = max(paths.get_snapshots(7444))
reader = csiborgtools.read.ParticleReader(paths)

In [14]:

# clumpind = reader.read_clumps(nsnap, nsim, cols="index")["index"]

In [ ]:

In [ ]:

In [17]:

parts = np.load("/mnt/extraspace/rstiskalek/csiborg/initmatch/clump_7468_particles.npy", allow_pickle=True)

In [ ]:

In [ ]: