Pivot sort by time values - Pandas - pandas

Question

I want to pivot a df and display values based off time values, not column values.
df = pd.DataFrame({
'Place' : ['John','Alan','Cory','Jim','John','Alan','Cory','Jim'],
'Number' : ['2','3','5','5','3','4','6','6'],
'Code' : ['1','2','3','4','1','2','3','4'],
'Time' : ['1904-01-01 08:00:00','1904-01-01 09:00:00','1904-01-02 01:00:00','1904-01-02 02:00:00','1904-01-01 08:10:00','1904-01-01 09:10:00','1904-01-02 01:10:00','1904-01-02 02:10:00'],
})
df = df.pivot_table(index = 'Number', columns = 'Place', values = 'Time', aggfunc = 'first').fillna('')
Out:
Place Alan Cory Jim John
Number
2 1904-01-01 08:00:00
3 1904-01-01 09:00:00 1904-01-01 08:10:00
4 1904-01-01 09:10:00
5 1904-01-02 01:00:00 1904-01-02 02:00:00
6 1904-01-02 01:10:00 1904-01-02 02:10:00
Intended Output:
Place John Alan Cory Jim
Number
2 1904-01-01 08:00:00
3 1904-01-01 08:10:00 1904-01-01 09:00:00
4 1904-01-01 09:10:00
5 1904-01-02 01:00:00 1904-01-02 02:00:00
6 1904-01-02 01:10:00 1904-01-02 02:10:00
Note: I've only added a dummy dates to differentiate for times after midnight. I will eventually drop the dates and just leave the times once the df is appropriately sorted.

Answer 1

Unfortunately pivot_table sorting columns names by default and no paramater for avoid it. So possible solution is DataFrame.reindex by original unique values of column Place:
#if necessary convert to datetimes and sorting
df['Time'] = pd.to_datetime(df['Time'])
df = df.sort_values('Time')
df1 = df.pivot_table(index='Number',columns='Place',values='Time',aggfunc='first').fillna('')
df1 = df1.reindex(columns=df['Place'].unique())
print (df1)
Place John Alan Cory \
Number
2 1904-01-01 08:00:00
3 1904-01-01 08:10:00 1904-01-01 09:00:00
4 1904-01-01 09:10:00
5 1904-01-02 01:00:00
6 1904-01-02 01:10:00
Place Jim
Number
2
3
4
5 1904-01-02 02:00:00
6 1904-01-02 02:10:00