पांडा विलय वापसी खाली dataframe

Question

मैं दो 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) 

current_bin डेटा फ्रेम की तरह लग रहा है:

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 

और

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) 

जो दिखाई देता है:

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 

दोनों dataframes avgSpeedBinID मैदान पर 16 के लिए एक मूल्य 1 है, फिर भी, जब मैं डेटा एक साथ फ्रेम

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

मैं एक अशक्त dataframe

avgSpeedBinID avgBinSpeed avgSpeedBinDesc temp id fpd 

ऐसा क्यों है हो रही है मर्ज करने के लिए कोशिश हो रहा है और मैं समस्या को कैसे ठीक कर सकता हूं?

Answer 1

वर्तमान बिन डेटाफ्रेम में avgSpeedBinID टाइप str है और औसत int है। बस str एक को int पर डालें और विलय काम करेगा।

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