import pandas as pd
import joblib

# Create two equivalent DataFrames
df = pd.DataFrame({"a": [1, 1, 2]})
df_1 = df.drop_duplicates(ignore_index=True)
df_2 = pd.DataFrame({"a": [1, 2]})

# They are identical in content, columns, and index
print(df_1)
# Output:
#    a
# 0  1
# 1  2

print(df_2)
# Output:
#    a
# 0  1
# 1  2

print(df_1.columns, df_2.columns)
# Output:
# Index(['a'], dtype='object') Index(['a'], dtype='object')

print(df_1.index, df_2.index)
# Output:
# RangeIndex(start=0, stop=2, step=1) RangeIndex(start=0, stop=2, step=1)

# However, their joblib hash values are different
print(joblib.hash(df_1) == joblib.hash(df_2))
# Output:
# False

# In this case, their _is_copy attributes are different
print(str(df_1._is_copy), str(df_2._is_copy))
# Output:
# <weakref at 0x7bd97103e160; to 'DataFrame' at 0x7bd82c647810> None