df.append is not working in Standardization

[AbdullahAssi]

6200 and name not in self._accessors 6201 and self._info_axis._can_hold_identifiers_and_holds_name(name) 6202 ): 6203 return self[name] -> 6204 return object.getattribute(self, name)

AttributeError: 'DataFrame' object has no attribute 'append'

having this error. So i got a solution for it. `data_to_append = {'Age': [5, 90, 95], 'EstimatedSalary': [1000, 250000, 350000], 'Purchased': [0, 1, 1]}

df_to_append = pd.DataFrame(data_to_append)

df = pd.concat([df, df_to_append], ignore_index=True)

print(df.describe())`

You can update the file, so others can't face this issue.

[MayBPrince]

hey abdullahassi. is I got the same error and it took me half an hour to resolve, is there is any way we can change the code, so others can't face the issue?

[AbdullahAssi]

hello MayBPrince,we can solve this problem by creating a branch and then PR to it could be fixed. but i already see 22 PRs open so i see that Repo is not being mentained by the owner.In this situation nothing we can do.

[skon7]

The issue was caused by a compatibility problem with pandas versions greater than 2. : stackoverflow

[KaushikDas9]

We can slove this issues by changing

df = df.append(df1,ignore_index=True)

this code with this code

df = pd.concat([df,df1],ignore_index=True)

[saumyayadav25]

df.append() is deprecated in latest version of pandas.

new_data = {
    'Age': [5, 90, 95],
    'EstimatedSalary': [1000, 250000, 350000],
    'Purchased': [0, 1, 1]
}
df = pd.concat([df, pd.DataFrame(new_data)], ignore_index=True)

This should work