how to delete na values in a dataframe
# if you want to delete rows containing NA values
df.dropna(inplace=True)
how to delete na values in a dataframe
# if you want to delete rows containing NA values
df.dropna(inplace=True)
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)
how to remove rows with nan in pandas
df.dropna(subset=[columns],inplace=True)
remove nan particular column pandas
df=df.dropna(subset=['columnname])
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