Hi I am trying to make a look up list, that given a listID I can find the users who have it, and given a UserID I can find all lists of that user.
The data comes in this format:
[['34', '345'],
['12', '23,534,34'],
['1', '13,42']]
What I would like is a pandas dataframe that looks like:
UserID, ListID
34, 345
12, 23
12, 534
12, 34
1, 13
1, 42
My thoughts were to make the second string to a list splitting on 'commas', but from there I am stuck. Any suggestions?
You should clean up your data before feeding it into the data frame constructor. Here is a simple script:
import pandas as pd
data = [['34', '345'],
['12', '23,534,34'],
['1', '13,42']]
new_data = []
for row in data:
x, yvals = row
for y in yvals.split(','):
new_data.append([x,y])
df = pd.DataFrame(new_data, columns=['UserID', 'ListID'])
Here's one way
In [386]: L = [['34', '345'], ['12', '23,534,34'], ['1', '13,42']]
In [387]: (pd.DataFrame(L, columns=['UserID', 'ListID'])
.set_index('UserID')
.ListID.str.split(',')
.apply(pd.Series)
.stack()
.reset_index(level=0, name='ListID'))
Out[387]:
UserID ListID
0 34 345
1 12 23
2 12 534
3 12 34
4 1 13
5 1 42
You can do as follow :
df_tmp = pd.DataFrame([['34', '345'],
['12', '23,534,34'],
['1', '13,42']], columns=['ListID', 'UserIDs'])
s = df_tmp['UserIDs'].str.split(',', expand=True).stack()
i = s.index.get_level_values(0)
df = df_tmp.loc[i].copy()
df["UserID"] = s.values
del df['UserIDs']
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