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fdb0df8d4c
* Move paths to a separate file * Add mmain reader * Add a verbosity flag * Fix imports * Fix bug * Rename files * Return ultimate parents * Add script to generate mmain * Remove mmain path * edit path * Add mmain path * Change function name * Rename function * Turn off verbose * Fix list requirement * Edit init match paths * Fix init pathing * Edit paths docs * Edit dumpdir name * Rename path * Fix split paths * Remove unused import * Add comment * Update readme * remove read mmain * Rename haloatalogue * Fix minor bugs * Update nbs * Add create directory option * Move split jobs * Move spliot jobs * Remove splitting * Add import * Edit script * Deeper split folder * Fix paths bug * Rename catalogue * Rename Catalogue * Add new clumpread * Edit paths * add knn paths * Update commenting * Update imports * Add more conversions * Update temp file * Add a note * Add catalogue * Cooment * Update TODO * Update script * add nb * Update * pep8 * edit paths & pep8 * Fix knn auto paths * add paths docs * Add auto and cross knn paths * Add new paths * Simplify tpcf reading * pep8 patch * update readme * Update progress * pep8 * pep8 * pep8 * pep8 * pep8 * pep8 * pep8 * pep8 * pep8 * pep8 * pep8 * pep8 * pep8 * pep8 * pep8 * Pep 8 and restructure * add lambda spin * add clump and halo * add checks * Edit halo profile fit * Update gitignore * backup script
6 KiB
6 KiB
In [1]:
import numpy as np
%matplotlib notebook
import matplotlib.pyplot as plt
# import fortranfile as ff
from os import listdir
import sys
sys.path.append("../")
import galomatch
%load_ext autoreload
%autoreload 2
from copy import copy
In [2]:
simpath = galomatch.io.get_sim_path(9844)
In [3]:
arr = galomatch.io.read_clumps(1016, simpath)
galomatch.io.convert_mass_cols(arr, "mass_cl")
galomatch.io.convert_position_cols(arr, ["peak_x", "peak_y", "peak_z"])
In [12]:
arr["peak_x"]
Out[12]:
In [20]:
plt.figure()
# plt.scatter(arr["peak_x"], arr["peak_y"], s=0.00001)
plt.hist(np.log10(arr["mass_cl"]), bins="auto")
plt.show()
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