In [1]: import pandas as pd
In [2]: csv = pd.read_csv('sample.csv',index_col=0)
In [3]: csv
Out[3]:
class_id image_name xmax xmin ymax ymin
0 Cat IMG_0001.jpg 850.0 752.0 531.0 459.0
1 Cat IMG_0002.jpg 508.0 193.0 481.0 260.0
2 Cat IMG_0003.jpg 542.0 358.0 381.0 266.0
... ... ... ... ... ... ...
145597 Dog IMG_9998.jpg 569.0 237.0 754.0 423.0
145598 Dog IMG_9999.jpg 582.0 267.0 831.0 495.0
[145740 rows x 6 columns]
In [4]: csv[['xmin','ymin','xmax','ymax']] = csv[['xmin','ymin','xmax','ymax']].values.astype(int)
In [5]: csv
Out[5]:
class_id image_name xmax xmin ymax ymin
0 Cat IMG_0001.jpg 850 752 531 459
1 Cat IMG_0002.jpg 508 193 481 260
2 Cat IMG_0003.jpg 542 358 381 266
... ... ... ... ... ... ...
145597 Dog IMG_9998.jpg 569 237 754 423
145598 Dog IMG_9999.jpg 582 267 831 495
[145740 rows x 6 columns]
・Loopするときとかfloatだと回せなかったりする