FilesExpand file tree

 main

/

export.py

Copy path

Blame

More file actions

Blame

More file actions

Latest commit

 

History

History

History

53 lines (44 loc) · 1.53 KB

 main

/

export.py

Copy path

Top

File metadata and controls

• Code
• Blame

53 lines (44 loc) · 1.53 KB

Raw

Copy raw file

Download raw file

Open symbols panel

Edit and raw actions

1

2

3

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

31

32

33

34

35

36

37

38

39

40

41

42

43

44

45

46

47

48

49

50

51

52

53

# Licensed to the Apache Software Foundation (ASF) under one

# or more contributor license agreements. See the NOTICE file

# distributed with this work for additional information

# regarding copyright ownership. The ASF licenses this file

# to you under the Apache License, Version 2.0 (the

# "License"); you may not use this file except in compliance

# with the License. You may obtain a copy of the License at

#

# http://www.apache.org/licenses/LICENSE-2.0

#

# Unless required by applicable law or agreed to in writing,

# software distributed under the License is distributed on an

# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY

# KIND, either express or implied. See the License for the

# specific language governing permissions and limitations

# under the License.

import datafusion

# create a context

ctx = datafusion.SessionContext()

# create a new datafusion DataFrame

df = ctx.from_pydict({"a": [1, 2, 3], "b": [4, 5, 6]})

# Dataframe:

# +---+---+

# | a | b |

# +---+---+

# | 1 | 4 |

# | 2 | 5 |

# | 3 | 6 |

# +---+---+

# export to pandas dataframe

pandas_df = df.to_pandas()

assert pandas_df.shape == (3, 2)

# export to PyArrow table

arrow_table = df.to_arrow_table()

assert arrow_table.shape == (3, 2)

# export to Polars dataframe

polars_df = df.to_polars()

assert polars_df.shape == (3, 2)

# export to Python list of rows

pylist = df.to_pylist()

assert pylist == [{"a": 1, "b": 4}, {"a": 2, "b": 5}, {"a": 3, "b": 6}]

# export to Pyton dictionary of columns

pydict = df.to_pydict()

assert pydict == {"a": [1, 2, 3], "b": [4, 5, 6]}