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df.index = df.index.rename('new_index_name')
# Source: https://pandas.pydata.org/docs/reference/api/pandas.Index.rename.html
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# For index name:
df = df.rename(index={'old_name': 'new_name'})
# or
df.index = df.index.rename('new_name')
# or
df.index.rename('new_name', inplace=True)
# For column name:
df = df.rename(columns={'old_name': 'new_name'})
#
df.columns = df.columns.rename('new_name')
# or
df.columns.rename('new_name', inplace=True)
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import pandas as pd
# Sample DataFrame
df = pd.DataFrame({'a': [1, 2], 'b': [3, 4]})
# Changing columns name with index number
su = df.rename(columns={df.columns[1]: 'new'})
# Display
display(su)
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import pandas as pd
# Create a sample DataFrame
data = {'Index': [1, 2, 3], 'Column1': [4, 5, 6], 'Column2': [7, 8, 9]}
df = pd.DataFrame(data)
# Rename the index column
df.index.name = 'NewIndexColumnName'
# Print the resulting DataFrame
print(df)