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SNOW-786887: implement df.to_pandas (#1117)
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,161 @@ | ||
| # | ||
| # Copyright (c) 2012-2023 Snowflake Computing Inc. All rights reserved. | ||
| # | ||
| import datetime | ||
| import decimal | ||
|
|
||
| import numpy as np | ||
| import pandas as pd | ||
| import pytest | ||
| from pandas.testing import assert_frame_equal | ||
|
|
||
| from snowflake.snowpark import Session | ||
| from snowflake.snowpark.mock.connection import MockServerConnection | ||
| from snowflake.snowpark.types import ( | ||
| ArrayType, | ||
| BinaryType, | ||
| BooleanType, | ||
| ByteType, | ||
| DateType, | ||
| DecimalType, | ||
| DoubleType, | ||
| FloatType, | ||
| IntegerType, | ||
| LongType, | ||
| MapType, | ||
| NullType, | ||
| ShortType, | ||
| StringType, | ||
| StructField, | ||
| StructType, | ||
| TimestampType, | ||
| TimeType, | ||
| VariantType, | ||
| ) | ||
|
|
||
| session = Session(MockServerConnection()) | ||
|
|
||
|
|
||
| @pytest.mark.localtest | ||
| def test_df_to_pandas_df(): | ||
| df = session.create_dataframe( | ||
| [ | ||
| [ | ||
| 1, | ||
| 1234567890, | ||
| True, | ||
| 1.23, | ||
| "abc", | ||
| b"abc", | ||
| datetime.datetime( | ||
| year=2023, month=10, day=30, hour=12, minute=12, second=12 | ||
| ), | ||
| ] | ||
| ], | ||
| schema=[ | ||
| "aaa", | ||
| "BBB", | ||
| "cCc", | ||
| "DdD", | ||
| "e e", | ||
| "ff ", | ||
| " gg", | ||
| ], | ||
| ) | ||
|
|
||
| to_compare_df = pd.DataFrame( | ||
| { | ||
| "AAA": pd.Series( | ||
| [1], dtype=np.int8 | ||
| ), # int8 is the snowpark behavior, by default pandas use int64 | ||
| "BBB": pd.Series( | ||
| [1234567890], dtype=np.int32 | ||
| ), # int32 is the snowpark behavior, by default pandas use int64 | ||
| "CCC": pd.Series([True]), | ||
| "DDD": pd.Series([1.23]), | ||
| "e e": pd.Series(["abc"]), | ||
| "ff ": pd.Series([b"abc"]), | ||
| " gg": pd.Series( | ||
| [ | ||
| datetime.datetime( | ||
| year=2023, month=10, day=30, hour=12, minute=12, second=12 | ||
| ) | ||
| ] | ||
| ), | ||
| } | ||
| ) | ||
|
|
||
| # assert_frame_equal also checks dtype | ||
| assert_frame_equal(df.to_pandas(), to_compare_df) | ||
| assert_frame_equal(list(df.to_pandas_batches())[0], to_compare_df) | ||
|
|
||
| # check snowflake types explicitly | ||
| df = session.create_dataframe( | ||
| data=[ | ||
| [ | ||
| [1, 2, 3, 4], | ||
| b"123", | ||
| True, | ||
| 1, | ||
| datetime.date(year=2023, month=10, day=30), | ||
| decimal.Decimal(1), | ||
| 1.23, | ||
| 1.23, | ||
| 100, | ||
| 100, | ||
| None, | ||
| 100, | ||
| "abc", | ||
| datetime.datetime(2023, 10, 30, 12, 12, 12), | ||
| datetime.time(12, 12, 12), | ||
| {"a": "b"}, | ||
| {"a": "b"}, | ||
| ], | ||
| ], | ||
| schema=StructType( | ||
| [ | ||
| StructField("a", ArrayType()), | ||
| StructField("b", BinaryType()), | ||
| StructField("c", BooleanType()), | ||
| StructField("d", ByteType()), | ||
| StructField("e", DateType()), | ||
| StructField("f", DecimalType()), | ||
| StructField("g", DoubleType()), | ||
| StructField("h", FloatType()), | ||
| StructField("i", IntegerType()), | ||
| StructField("j", LongType()), | ||
| StructField("k", NullType()), | ||
| StructField("l", ShortType()), | ||
| StructField("m", StringType()), | ||
| StructField("n", TimestampType()), | ||
| StructField("o", TimeType()), | ||
| StructField("p", VariantType()), | ||
| StructField("q", MapType(StringType(), StringType())), | ||
| ] | ||
| ), | ||
| ) | ||
|
|
||
| pandas_df = pd.DataFrame( | ||
| { | ||
| "A": pd.Series(["[\n 1,\n 2,\n 3,\n 4\n]"], dtype=object), | ||
| "B": pd.Series([b"123"], dtype=object), | ||
| "C": pd.Series([True], dtype=bool), | ||
| "D": pd.Series([1], dtype=np.int8), | ||
| "E": pd.Series([datetime.date(year=2023, month=10, day=30)], dtype=object), | ||
| "F": pd.Series([decimal.Decimal(1)], dtype=np.int8), | ||
| "G": pd.Series([1.23], dtype=np.float64), | ||
| "H": pd.Series([1.23], dtype=np.float64), | ||
| "I": pd.Series([100], dtype=np.int8), | ||
| "J": pd.Series([100], dtype=np.int8), | ||
| "K": pd.Series([None], dtype=object), | ||
| "L": pd.Series([100], dtype=np.int8), | ||
| "M": pd.Series(["abc"], dtype=object), | ||
| "N": pd.Series( | ||
| [datetime.datetime(2023, 10, 30, 12, 12, 12)], dtype="datetime64[ns]" | ||
| ), | ||
| "O": pd.Series([datetime.time(12, 12, 12)], dtype=object), | ||
| "P": pd.Series(['{\n "a": "b"\n}'], dtype=object), | ||
| "Q": pd.Series(['{\n "a": "b"\n}'], dtype=object), | ||
| } | ||
| ) | ||
| assert_frame_equal(df.to_pandas(), pandas_df) |