Data sets for: Elastoplasticity Mediates Dynamical Heterogeneity Below the Mode Coupling Temperature

Data sets comprising:<br><br>(a) FigData (Figure data):<br>.npz files<br>(https://numpy.org/doc/stable/reference/generated/numpy.savez.html)<br>containing pandas data structures<br>(https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html,<br>https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.html,<br>https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.concat.html)<br>(effectively, N-dimensional arrays with labelled axes)<br>containing the data plotted in the paper,<br>named according to the figure to which the data corresponds<br>(e.g. S1a_inset contains the data for the inset to subfigure a of figure 1 of<br>the Supplementary Material).<br>As well as having the data in .npz files,<br>versions of the data are stored in .pkl pandas data frames<br>(read with "import pandas as pd; pd.read_pickle('path-to-bla.npz')")<br>as well as .csv (comma-separated values) files (a text format).<br>Note: Bootstrapped data will not be identical to that from the paper,<br>due to the use of an unset seed when generating the figures for the paper.<br><br>(b) FigGenData (Figure-generation data)<br>Data sets used in the actual generation of the figures,<br>as seen in the figure-generation code (FigGen.py file)<br>at https://physics.paperswithcode.com/paper/elastoplasticity-mediates-dynamical<br>To read the metadata of file bla.npz,<br>which includes the name of the code used to generate it, use:<br>import numpy as np<br>np.load('path-to-bla.npz',allow_pickle=True)['metadata'].flat[0]<br>

本数据集包含以下内容：

(a) 图数据（FigData，Figure data）：
包含.npz格式文件（详见https://numpy.org/doc/stable/reference/generated/numpy.savez.html），其内存储pandas数据结构（Pandas data structures，对应官方文档链接：https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html、https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.html、https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.concat.html）。此类数据本质为带有标注轴的N维数组，存储了论文绘图所用的原始数据，命名规则与对应图表保持一致（例如S1a_inset对应补充材料图1子图a的内嵌插图数据）。除.npz格式文件外，该数据集还提供了以.pkl格式存储的pandas数据帧版本（可通过代码`import pandas as pd; pd.read_pickle('path-to-bla.npz')`读取），以及逗号分隔值（CSV）格式的文本文件。
注意：由于生成论文配图时未设置随机种子，自举（Bootstrapped）数据与论文中的原始数据可能不完全一致。

(b) 图生成数据（FigGenData，Figure-generation data）：
为实际生成图表所用的数据集，可通过图表生成代码（FigGen.py文件，详见https://physics.paperswithcode.com/paper/elastoplasticity-mediates-dynamical）获取。
若需读取任意bla.npz文件的元数据（包括生成该文件所用的代码名称），可使用如下代码：
import numpy as np
np.load('path-to-bla.npz', allow_pickle=True)['metadata'].flat[0]