Python 需要帮助过滤和合并两个数据帧吗

嗨，我有两个熊猫数据框

                                                     NAME                GEO_ID     RR2010  STATE  COUNTY   TRACT
0             Census Tract 9508, Genesee County, New York  1400000US36037950800      67.9     36      37  950800
1          Census Tract 9505.02, Genesee County, New York  1400000US36037950502      74.0     36      37  950502
2             Census Tract 9506, Genesee County, New York  1400000US36037950600      75.3     36      37  950600
3             Census Tract 9507, Genesee County, New York  1400000US36037950700      63.4     36      37  950700
4             Census Tract 9509, Genesee County, New York  1400000US36037950900      74.2     36      37  950900
5             Census Tract 9510, Genesee County, New York  1400000US36037951000      68.9     36      37  951000
6             Census Tract 9511, Genesee County, New York  1400000US36037951100      72.8     36      37  951100
7             Census Tract 9512, Genesee County, New York  1400000US36037951200      72.7     36      37  951200
8             Census Tract 9513, Genesee County, New York  1400000US36037951300      75.1     36      37  951300
9             Census Tract 9514, Genesee County, New York  1400000US36037951400      71.0     36      37  951400
10              Census Tract 801, Greene County, New York  1400000US36039080100      74.6     36      39   80100

但我想做的是通过它们的道数来比较这两个DF。如果这两个df没有相同的TRACT编号，我想删除与其关联的整行。

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另外，我想取两年的RR，减去它们，并将它们作为新列添加到两个DF中，我该怎么做呢？

非常感谢！再进一步，你认为显示新列的最佳视觉表现形式是什么？最简单的可能是

df3.plot.bar（y='DIFFERENCE'）

。如果需要更多的复杂性，请查看matplotlib和seaborn库。

# merging dataframes
df3 = df1.merge(df2, on='TRACT', how='inner')

# adding new column
df3['DIFFERENCE'] = df3['RR2020'] - df3['RR2010']

# merging dataframes
df3 = df1.merge(df2, on='TRACT', how='inner')

# adding new column
df3['DIFFERENCE'] = df3['RR2020'] - df3['RR2010']