dataframe create
>>> df2 = pd.DataFrame(np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]]),
... columns=['a', 'b', 'c'])
>>> df2
a b c
0 1 2 3
1 4 5 6
2 7 8 9dataframe create
>>> df2 = pd.DataFrame(np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]]),
... columns=['a', 'b', 'c'])
>>> df2
a b c
0 1 2 3
1 4 5 6
2 7 8 9pandas to sql index
resultDf.to_sql('table_name', engine, schema="schema_name", if_exists="append", index=False)df to sql pandas sql achemy
from sqlalchemy import create_engine
engine = create_engine('sqlite://', echo=False)
df.to_sql('users', con=engine)
engine.execute("SELECT * FROM users").fetchall()Copyright © 2021 Codeinu
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