This module with help of atomic_properties_pymat class from metainfo module instantiates objects with atomic element symbol as identifier to access atomic features available
# ### Lastly fill the empty features with np.nan values
#Fill the empty features with np.nan values
# In[10]:
df_clean=df4.replace(r'^\s*$',np.nan,regex=True)
df_clean=df4.replace(r'^\s*$',np.nan,regex=True)
# Section instantiation and its objects attributes are filled. This will create 118 objects unique ( atomic element symbol) which can be used to access its properties
# In[11]:
df_clean;
# # Section instantiation and its objects attributes are filled. This will create 118 objects unique ( atomic element symbol) which can be used to access its properties
# In[12]:
objs=[]
objs=[]
foriindf_clean['Element Symbol']:
foriindf_clean['Element Symbol']:
...
@@ -151,10 +103,6 @@ for i in df_clean['Element Symbol']:
...
@@ -151,10 +103,6 @@ for i in df_clean['Element Symbol']:
This function utilty is, it can be called to access element properties based on its symbol in periodic table. Can be usefull if want to acess particular property of multiple elements at once
'''
returnglobals()[abc]
# In[16]:
# This method_list object could be called after importing this module so one can easily see all the quantities accessible.