Cannot Read Parquet File of Multi-Level Complex Index Data Frame

Question

I can create a sample data frame with the following code and save it as parquet. When I try to read it throws "TypeError: unhashable type: 'numpy.ndarray'". Is it possible to save an index comprised of tuples or do I have to reset the index before saving to parquet? Thanks

import pandas as pd

# Creating sample data
data = {
    'A': [1, 2, 3],
    'B': [6, 7, 8],
    'C': [11, 12, 13],
}

# Creating multi-index
index = pd.MultiIndex.from_tuples(
    [
        ((10, 30), (0.75, 1.0)), 
        ((10, 30), (0.75, 1.25)),
        ((10, 30), (1.0, 1.25))
    ],
    names=['level_0', 'level_1']
)

# Creating DataFrame with multi-index
df = pd.DataFrame(data, index=index)

print(df)

df.to_parquet(path="test.parquet")
pd.read_parquet("test.parquet")

Answer 1

import pandas as pd

# Creating sample data
data = {
    'A': [1, 2, 3],
    'B': [6, 7, 8],
    'C': [11, 12, 13],
}

# Creating multi-index
index = pd.MultiIndex.from_tuples(
    [
        ((10, 30), (0.75, 1.0)), 
        ((10, 30), (0.75, 1.25)),
        ((10, 30), (1.0, 1.25))
    ],
    names=['level_0', 'level_1']
)

# Creating DataFrame with multi-index
df = pd.DataFrame(data, index=index)

print(df)

# Resetting the index before saving to Parquet
df_reset = df.reset_index()

# Saving to Parquet
df_reset.to_parquet("test.parquet")

# Reading from Parquet
df_read = pd.read_parquet("test.parquet")

# Setting the index back to the original MultiIndex
df_read.set_index(['level_0', 'level_1'], inplace=True)

print(df_read)