How I can retrieve indexes of the rows, in a pandas DataFrame (df), with "object" type (dtype=='O') in at least one column of the DataFrame?
What I would like to do in practice is to create a new dataframe (numeric_df) with only the numeric values of a source dataframe (df).
CodePudding user response:
Use:
df = pd.DataFrame({'object col':[1,'a',25]})
df[df['object col'].apply(lambda x: type(x))==int]
result:
Based on the comment:
df = pd.DataFrame({'object col':[1,'a',25], 'object col2':['a','a',25]})
def check(row):
for col in row:
if type(col)==str:
return False
return True
df[df.apply(check, axis = 1)]
result: