I have three very long lists of Pandas data frames. For example: list_a = [tablea1, tablea2, tablea3, tablea4] list_b = [tableb1, tableb2, tableb3, tableb4] list_c = [tablec1, tablec2, tablec3, tablec4] I want to do something like this: tablea1 = pd.concat([tablea1, tableb1, tablec1], axis=1) So naively, I wrote such codes: for i in range(len(list_a)): list_a = pd.concat([list_a, list_b, list_c], axis=1) This code failed to work, b/c list_a[0] is a reference to tablea1 initially, then inside the loop, list_a[0] will be re-assigned to point to pd.concat([tablea1, tableb1, tablec1], axis=1), which is a new object. In the end, tablea1 is not modified. (list_a does contain the desired result. But I do want to modify tablea1.) I have spent hours on this and cannot find out a solution. Any help? Continue reading...
