Panda unione ritorno dataframe vuoto

Question

Ho due dataframes

current_bin.info()  
<class 'pandas.core.frame.DataFrame'> 
Int64Index: 16 entries, 0 to 15 
Data columns (total 3 columns): 
id    16 non-null object 
fpd    16 non-null float64 
avgSpeedBinID 16 non-null object 
dtypes: float64(1), object(2) 

cornice dati current_bin assomiglia:

current_bin 
    id   fpd   avgSpeedBinID 
0 1.1.4.1  2.818623 1 
1 1.1.4.10 0.266681 10 
2 1.1.4.11 0.250017 11 
3 1.1.4.12 0.234749 12 
4 1.1.4.13 0.222515 13 
5 1.1.4.14 0.216150 14 
6 1.1.4.15 0.218368 15 
7 1.1.4.16 0.227663 16 
8 1.1.4.2  1.475454 2 
9 1.1.4.3  0.805842 3 
10 1.1.4.4  0.581797 4 
11 1.1.4.5  0.450314 5 
12 1.1.4.6  0.379107 6 
13 1.1.4.7  0.335155 7 
14 1.1.4.8  0.305992 8 
15 1.1.4.9  0.284210 9 

e

avg.info() 
<class 'pandas.core.frame.DataFrame'> 
Int64Index: 16 entries, 0 to 15 
Data columns (total 4 columns): 
avgSpeedBinID  16 non-null int64 
avgBinSpeed  16 non-null float64 
avgSpeedBinDesc 16 non-null object 
temp    16 non-null int64 
dtypes: float64(1), int64(2), object(1) 

che assomiglia:

avgSpeedBinID avgBinSpeed avgSpeedBinDesc    temp 
0 1    3   speed < 2.5mph    0 
1 2    5   2.5mph <= speed < 7.5mph 0 
2 3    10   7.5mph <= speed < 12.5mph 0 
3 4    15   12.5mph <= speed < 17.5mph 0 
4 5    20   17.5mph <= speed <22.5mph 0 
5 6    25   22.5mph <= speed < 27.5mph 0 
6 7    30   27.5mph <= speed < 32.5mph 0 
7 8    35   32.5mph <= speed < 37.5mph 0 
8 9    40   37.5mph <= speed < 42.5mph 0 
9 10    45   42.5mph <= speed < 47.5mph 0 
10 11    50   47.5mph <= speed < 52.5mph 0 
11 12    55   52.5mph <= speed < 57.5mph 0 
12 13    60   57.5mph <= speed < 62.5mph 0 
13 14    65   62.5mph <= speed < 67.5mph 0 
14 15    70   67.5mph <= speed < 72.5mph 0 
15 16    75   72.5mph <= speed   0 

entrambi dataframes hanno un valore da 1 a 16 sul campo avgSpeedBinID, tuttavia, quando provo a unire i dati da cornice insieme

avg.merge(current_bin, on='avgSpeedBinID') 

sto diventando un dataframe nulla

avgSpeedBinID avgBinSpeed avgSpeedBinDesc temp id fpd 

perché è questo succede e come posso risolvere il problema?

Answer 1

Il avgSpeedBinID nel dataframe del raccoglitore corrente è di tipo str e in media è int. Basta inserire lo str in uno int e l'unione funzionerà.

current_bin['avgSpeedBinID'] = current_bin['avgSpeedBinID'].astype(int) 

avg.merge(current_bin, on='avgSpeedBinID') 


    avgSpeedBinID avgBinSpeed avgSpeedBinDesc    temp id fpd 
0 1    3   speed < 2.5mph    0 1.1.4.1 2.818623 
1 2    5   2.5mph <= speed < 7.5mph 0 1.1.4.2 1.475454 
2 3    10   7.5mph <= speed < 12.5mph 0 1.1.4.3 0.805842 
3 4    15   12.5mph <= speed < 17.5mph 0 1.1.4.4 0.581797 
4 5    20   17.5mph <= speed <22.5mph 0 1.1.4.5 0.450314 
5 6    25   22.5mph <= speed < 27.5mph 0 1.1.4.6 0.379107 
6 7    30   27.5mph <= speed < 32.5mph 0 1.1.4.7 0.335155 
7 8    35   32.5mph <= speed < 37.5mph 0 1.1.4.8 0.305992 
8 9    40   37.5mph <= speed < 42.5mph 0 1.1.4.9 0.284210 
9 10    45   42.5mph <= speed < 47.5mph 0 1.1.4.10 0.266681 
10 11    50   47.5mph <= speed < 52.5mph 0 1.1.4.11 0.250017 
11 12    55   52.5mph <= speed < 57.5mph 0 1.1.4.12 0.234749 
12 13    60   57.5mph <= speed < 62.5mph 0 1.1.4.13 0.222515 
13 14    65   62.5mph <= speed < 67.5mph 0 1.1.4.14 0.216150 
14 15    70   67.5mph <= speed < 72.5mph 0 1.1.4.15 0.218368 
15 16    75   72.5mph <= speed   0 1.1.4.16 0.22763