为什么我无法从数据框中删除没有值的行？
为什么我无法从数据框中删除没有值的行？
为什么我无法删除DataFrame中没有值的行？我已经尝试了许多方法，但都没有起作用。我的DataFrame是一个json，我的\"priority\"列有很多空值，我希望删除没有值的特定行，或者至少用某些值填充它们，以便我可以进行一些训练。\n我尝试了以下代码：\n
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
\n仍然显示了没有\"priority\"值的行。\n我的数据集来自json，\"priority\"的值应该是从1到4的。空值是\" \"。\n在pandas中：\n
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