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  1. To just get the index column names df.index.names will work for both a single Index or MultiIndex as of the most recent version of pandas. As someone who found this while trying to find the best way to get a list of index names + column names, I would have found this answer useful:

  2. 25 Δεκ 2021 · Read database table using pandas module. pandas.read_sql_query(sql, con, index_col=None, coerce_float=True, params=None, parse_dates=None, chunksize=None, dtype=None): Read SQL query...

  3. 16 Οκτ 2023 · The read_sql function in Pandas allows us to fetch data from a SQL database into a DataFrame object, using a SQL query string as we saw above or a table name. When we provide a table name to the read_sql function, it will read the entire table and convert it into a DataFrame.

  4. Returns a DataFrame corresponding to the result set of the query string. Optionally provide an index_col parameter to use one of the columns as the index, otherwise default integer index will be used.

  5. While importing from MySQL, you can set any column (or columns) to be used as the index for the dataframe. To do this, read_sql () function accepts the optional parameter index_col which can be set to any column name. For example, consider a table named employee with the following columns.

  6. 9 Οκτ 2020 · pandas.read_sql(sql, con) Read SQL query or database table into a DataFrame. sql — SQL query to be executed or a table name.

  7. 22 Φεβ 2023 · Pandas allows you to easily set the index of a DataFrame when reading a SQL query using the pd.read_sql() function. In order to do this, we can add the optional index_col= parameter and pass in the column that we want to use as our index column.

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