我无法删除数据框中没有值的行，为什么？我已经尝试了许多方法，但没有一个起作用。我的数据框是一个json，我的“优先级”列中有许多空值，我想删除某些没有值的卷或至少将它们填充一些东西，因为我可以进行一些训练。
我尝试过
raw_df = pd.read_json("pd_calls.json")
df = raw_df.rename(columns=raw_df.iloc[0]).drop(0)
df.dropna()
feature_cols = ['date_time','FullAddress','call_type','priority','lat','long']
x = df[feature_cols]
x.dropna()
x = x[pd.notnull(x['priority'])]
df = df.dropna(how='any')
df
still displaying the rows with no values for "priority"
我从json优先级设置的数据是L，它应该是1到4 空L是“”
{"A": "P17070009161", "B": "7/6/2017 8:35", "C": "5", "D": "36200", "E": "", "F": "BLADEN AV MURRIETTA", "G": "", "H": "36200 BLADEN AV MURRIETTA, San Diego, CA", "I": "1182", "J": "CAN", "K": "999", "L": "2", "M": "33.5569955", "N": "-117.1839502"},
{"A": "P17070042146", "B": "7/25/2017 10:58", "C": "3", "D": "42100", "E": "", "F": "ALEXANDRA DR MURRIETTA", "G": "", "H": "42100 ALEXANDRA DR MURRIETTA, San Diego, CA", "I": "WARRANT", "J": "W", "K": "999", "L": "3", "M": "32.903892", "N": "-117.219352"},
{"A": "P17040037291", "B": "4/22/2017 16:35", "C": "7", "D": "42100", "E": "", "F": "ORANGE BOSSOM TEMECULA", "G": "", "H": "42100 ORANGE BOSSOM TEMECULA, San Diego, CA", "I": "AU1", "J": "W", "K": "999", "L": "1", "M": "33.5121386", "N": "-117.1350924"},
{"A": "P17050008176", "B": "5/5/2017 19:57", "C": "6", "D": "59800", "E": "", "F": "ALBEMARLE", "G": "ST", "H": "59800 ALBEMARLE ST, San Diego, CA", "I": "MCTSTP", "J": "O", "K": "438", "L": "1", "M": "32.676946", "N": "-117.0652657"},
{"A": "P17020026861", "B": "2/16/2017 12:08", "C": "5", "D": "60300", "E": "", "F": "AVE DE LAS VISTAS", "G": "", "H": "60300 AVE DE LAS VISTAS, San Diego, CA", "I": "MCTSTP", "J": "O", "K": "725", "L": "1", "M": "32.5822973", "N": "-117.0092733"},
{"A": "P17010005533", "B": "1/4/2017 13:57", "C": "4", "D": "75700", "E": "", "F": "SARANAC", "G": "", "H": "75700 SARANAC, San Diego, CA", "I": "FU", "J": "K", "K": "326", "L": "2", "M": "32.7707775", "N": "-117.0492753"},
{"A": "P17050025037", "B": "5/15/2017 16:10", "C": "2", "D": "104400", "E": "", "F": "BLACK MOUNTAIN", "G": "RD", "H": "104400 BLACK MOUNTAIN RD, San Diego, CA", "I": "REPORT", "J": "W", "K": "242", "L": "", "M": "32.9390205", "N": "-117.1284305"},
{"A": "P17070034017", "B": "7/20/2017 14:46", "C": "5", "D": "104400", "E": "", "F": "BLACK MOUNTAIN", "G": "RD", "H": "104400 BLACK MOUNTAIN RD, San Diego, CA", "I": "REPORT", "J": "W", "K": "242", "L": "", "M": "32.9390205", "N": "-117.1284305"},
{"A": "P17080000540", "B": "8/1/2017 9:55", "C": "3", "D": "123300", "E": "", "F": "SALMON RIVER", "G": "RD", "H": "123300 SALMON RIVER RD, San Diego, CA", "I": "REPORT", "J": "W", "K": "233", "L": "", "M": "32.9540226", "N": "-117.1207721"}
]
在熊猫中
date_time FullAddress call_type priority lat long
1 6/14/2017 21:54 10 14TH ST, San Diego, CA 1151 2 32.7054489 -117.1518696
2 3/29/2017 22:24 10 14TH ST, San Diego, CA 1016 2 32.7054489 -117.1518696
3 6/3/2017 18:04 10 14TH ST, San Diego, CA 1016 2 32.7054489 -117.1518696
4 3/17/2017 10:57 10 14TH ST, San Diego, CA 1151 2 32.7054489 -117.1518696
5 3/3/2017 23:45 10 15TH ST, San Diego, CA 911P 2 32.7057215 -117.1503498
6 2/10/2017 8:23 10 15TH ST, San Diego, CA AU2 2 32.7057215 -117.1503498
7 4/11/2017 4:57 10 15TH ST, San Diego, CA 5150 2 32.7057215 -117.1503498
8 3/28/2017 6:30 10 15TH ST, San Diego, CA 1146 32.7057215 -117.1503498
9 6/22/2017 10:19 10 15TH ST, San Diego, CA 242 1 32.7057215 -117.1503498
10 6/5/2017 19:27 10 15TH ST, San Diego, CA 5150 2 32.7057215 -117.1503498
11 6/28/2017 11:51 10 15TH ST, San Diego, CA 415 2 32.7057215 -117.1503498
12 6/28/2017 12:28 10 15TH ST, San Diego, CA 911P 2 32.7057215 -117.1503498
13 7/7/2017 21:59 10 15TH ST, San Diego, CA 647F 2 32.7057215 -117.1503498
14 8/11/2017 7:07 10 15TH ST, San Diego, CA 1140OD 32.7057215 -117.1503498