Merging DataFrames on multiple conditions - not specifically on equal values

Question

Firstly, sorry if this is a bit lengthy, but I wanted to fully describe what I have having problems with and what I have tried already.

I am trying to join (merge) t

Answer 1

You can use the following to accomplish what you're looking for:

merged_df=snp_df.merge(gene_df,on=['chromosome'],how='inner')
merged_df=merged_df[(merged_df.BP>=merged_df.chr_start) & (merged_df.BP<=merged_df.chr_stop)][['SNP','feature_id']]

Note: your example dataframes do not meet your join criteria. Here is an example using modified dataframes:

snp_df
Out[193]: 
   chromosome        SNP      BP
0           1  rs3094315  752566
1           1  rs3131972   30400
2           1  rs2073814  753474
3           1  rs3115859  754503
4           1  rs3131956  758144

gene_df
Out[194]: 
   chromosome  chr_start  chr_stop        feature_id
0           1      10954     11507  GeneID:100506145
1           1      12190     13639  GeneID:100652771
2           1      14362     29370     GeneID:653635
3           1      30366     30503  GeneID:100302278
4           1      34611     36081     GeneID:645520

merged_df
Out[195]: 
         SNP        feature_id
8  rs3131972  GeneID:100302278