Reputation: 844
I have many dataframes like the following:
weight=pd.read_csv('weight.csv',index_col=0)
inventory=pd.read_csv('inventory1.csv',index_col=0)
which are to be stored in an array:
df_array=[weight,inventory,etc]
to be passed as arguments subsequently, to another function. When I run this:
df_array[0]
I get:
Out[15]:
C11 C12 C13 C21 C22 C23 C31 C32 C33
C1 1.00 1.00 1.00 1.50 2.00 2.50 2.50 3.0 3.50
C2 0.40 0.50 0.67 1.00 1.00 1.00 1.50 2.0 2.50
C3 0.28 0.33 0.40 0.40 0.50 0.67 1.00 1.0 1.00
These are the rows and columns of the dataframe weight. What I want is for df_array[0] to print the name of the dataframe (weight) as a variable name without quotes which I can pass as argument to another function. Is it possible? Or is there any alternative for it?
Upvotes: 1
Views: 35
Reputation: 862651
I think the best is use dictionary of DataFrames
instead list of DataFrames
:
df_dict={'weight': weight,'inventory': inventory}
and then select by keys
:
df1 = df_dict['weight']
Upvotes: 1