import pandas as pd
import numpy as np
"""
过滤某列中含有Nan的行
:return:
"""
df = pd.DataFrame({'A': [1, 2, 3, 4], 'B': [5, 6, 7, None]})
# method1
df_filter = df.drop(df[np.isnan(df['B'])].index)
# method2
df_filter2 = df.dropna(subset=['B'])
import pandas as pd
import numpy as np
"""
过滤某列中含有Nan的行
:return:
"""
df = pd.DataFrame({'A': [1, 2, 3, 4], 'B': [5, 6, 7, None]})
# method1
df_filter = df.drop(df[np.isnan(df['B'])].index)
# method2
df_filter2 = df.dropna(subset=['B'])
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