Answers for "how to remove rows with more than 1 NaN"

pandas drop row with nan

import pandas as pd

df = pd.DataFrame({'values_1': ['700','ABC','500','XYZ','1200'],
                   'values_2': ['DDD','150','350','400','5000'] 
                   })

df = df.apply (pd.to_numeric, errors='coerce')
df = df.dropna()
df = df.reset_index(drop=True)

print (df)

Posted by: Guest on February-16-2021

how to remove rows with nan in pandas

df.dropna(subset=[columns],inplace=True)

Posted by: Guest on May-26-2021

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Answers for "how to remove rows with more than 1 NaN"

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Answers for "how to remove rows with more than 1 NaN"

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