I want to iterate specific rows based on the number of the list factors in 'Content ID_group' column. For example, as the first row of the table under has 6 factors in its list in 'Content ID_group' column, I want to make other columns(Event Name, Media) iterate 6 times.

So if the original graph is like this:

The final graph will look like this:

So this is my code. It just keeps running, not giving out the result. So I guess it is an infinite loop.

Can someone help?

*'graph' is the graph I defined. **'g_whole' is the dataframe that has to contain all the iteration result that I defined.

g_whole=pd.DataFrame()

for g in range(len(graph)):
    if type(graph['Content ID_group'][0]) == list:
        loop=len(graph['Content ID_group'][0])
        for l in range(loop):
            itt=graph.loc[g]
            g_whole.append(itt)
        
    elif type(graph['Content ID_group'][0]) == int:
        g_whole.append(graph['Content ID_group'][0])
print(g_whole)
    

CodePudding user response：

Assuming Content ID_group contains a real list, you can use explode:

>>> type(graph.at[0, 'Content ID_group'])
list

>>> graph.explode('Content ID_group')
  Event Name   Media Content ID_group
0        ord  google                1
0        ord  google                2
0        ord  google                3
0        ord  google                4
0        ord  google                5
0        ord  google                6
1     inflow  appier                0

If Contains ID_group contains strings, you have to eval first:

>>> type(graph.at[0, 'Content ID_group'])
str

>>> graph['Content ID_group'] = graph['Content ID_group'].apply(pd.eval)

>>> graph.explode('Content ID_group')
  Event Name   Media Content ID_group
0        ord  google                1
0        ord  google                2
0        ord  google                3
0        ord  google                4
0        ord  google                5
0        ord  google                6
1     inflow  appier                0

CodePudding user response：

Just use pd.DataFrame.explode:

>>> df.explode('Content ID_group')
  Event Name   Media Content ID_group
0        ord  google                1
0        ord  google                2
0        ord  google                3
0        ord  google                4
0        ord  google                5
0        ord  google                6
1     inflow  appier                0
>>> 

CodePudding user response：

Use pd.DataFrame.explode():

In [1]: df = pd.DataFrame({'Event Name': ['ord', 'inflow'], 'Media': ['google', 'appier'], 'Content ID_group': [[1,2,3,4,5,6], 0]})
In [2]: df.explode('Content ID_group')
Out[2]:
  Event Name   Media Content ID_group
0        ord  google                1
0        ord  google                2
0        ord  google                3
0        ord  google                4
0        ord  google                5
0        ord  google                6
1     inflow  appier                0

CodePudding user response：

import pandas as pd

df = pd.DataFrame({"Event Name": ["ord", "inflow"], "Media":["google", "appier"], "Content Id_group":[[1,2,3,4,5,6], 0]})

print(df)
  Event Name   Media    Content Id_group
0        ord  google  [1, 2, 3, 4, 5, 6]
1     inflow  appier                   0

df2 = df.explode("Content Id_group")

print(df2)
  Event Name   Media Content Id_group
0        ord  google                1
0        ord  google                2
0        ord  google                3
0        ord  google                4
0        ord  google                5
0        ord  google                6
1     inflow  appier                0