相关疑难解决方法(0)

我想使用print()和IPython 显示具有给定格式的pandas数据帧display().例如:

df = pd.DataFrame([123.4567, 234.5678, 345.6789, 456.7890],
                  index=['foo','bar','baz','quux'],
                  columns=['cost'])
print df

         cost
foo   123.4567
bar   234.5678
baz   345.6789
quux  456.7890

我想以某种方式强迫这种印刷

         cost
foo   $123.46
bar   $234.57
baz   $345.68
quux  $456.79

无需修改数据本身或创建副本,只需更改其显示方式即可.

我怎样才能做到这一点？

这是我的数据框：

data = {'transit_time':[1,1,2,2,3,3],
        'orig_state':['UT','UT','UT','UT','UT','UT'],
        'dest_state':['CA','CA','AZ','AZ','NY','NY'],
        'GEOID':['01','01','02','02','03','03'],
        'dest_state_fn':['California','California','Arizona','Arizona','New York','New York'],
        'dest_county_name':['county1','county1','county2','county2','county3','county3']
       }
df = pd.DataFrame(data,columns = ['transit_time','orig_state','dest_state','GEOID','dest_state_fn','dest_county_name'])

print (df)

   transit_time orig_state dest_state GEOID dest_state_fn dest_county_name
0             1         UT         CA    01    California          county1
1             1         UT         CA    01    California          county1
2             2         UT         AZ    02       Arizona          county2
3             2         UT         AZ    02       Arizona          county2
4             3         UT         NY    03      New York          county3
5             3         UT         NY    03      New York          county3

我想获得一个按 GEOID、dest_county_name、AVG(transit time)、COUNT(*) 分组的数据框，如下图所示：