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How to use _create_dataframe method in pandera

Best Python code snippet using pandera_python

test_data.py

Source:test_data.py

2import pytest3import pandas as pd4from ..data import (limit_rows, MaxRowsError, sample, pipe, to_values,5                    to_json, to_csv)6def _create_dataframe(N):7    data = pd.DataFrame({"x": range(N), "y": range(N)})8    return data9def _create_data_with_values(N):10    data = {'values': [{'x': i, 'y': i+1} for i in range(N)]}11    return data12def test_limit_rows():13    """Test the limit_rows data transformer."""14    data = _create_dataframe(10)15    result = limit_rows(data, max_rows=20)16    assert data is result17    with pytest.raises(MaxRowsError):18        pipe(data, limit_rows(max_rows=5))19    data = _create_data_with_values(10)20    result = pipe(data, limit_rows(max_rows=20))21    assert data is result22    with pytest.raises(MaxRowsError):23        limit_rows(data, max_rows=5)24def test_sample():25    """Test the sample data transformer."""26    data = _create_dataframe(20)27    result = pipe(data, sample(n=10))28    assert len(result)==1029    assert isinstance(result, pd.DataFrame)30    data = _create_data_with_values(20)31    result = sample(data, n=10)32    assert isinstance(result, dict)33    assert 'values' in result34    assert len(result['values'])==1035    data = _create_dataframe(20)36    result = pipe(data, sample(frac=0.5))37    assert len(result)==1038    assert isinstance(result, pd.DataFrame)39    data = _create_data_with_values(20)40    result = sample(data, frac=0.5)41    assert isinstance(result, dict)42    assert 'values' in result43    assert len(result['values'])==1044def test_to_values():45    """Test the to_values data transformer."""46    data = _create_dataframe(10)47    result = pipe(data, to_values)48    assert result=={'values': data.to_dict(orient='records')}49def test_type_error():50    """Ensure that TypeError is raised for types other than dict/DataFrame."""51    for f in (sample, limit_rows, to_values):52        with pytest.raises(TypeError):53            pipe(0, f)54def test_dataframe_to_json():55    """Test to_json56    - make certain the filename is deterministic57    - make certain the file contents match the data58    """59    data = _create_dataframe(10)60    try:61        result1 = pipe(data, to_json)62        result2 = pipe(data, to_json)63        filename = result1['url']64        output = pd.read_json(filename)65    finally:66        os.remove(filename)67    assert result1 == result268    assert output.equals(data)69def test_dict_to_json():70    """Test to_json71    - make certain the filename is deterministic72    - make certain the file contents match the data73    """74    data = _create_data_with_values(10)75    try:76        result1 = pipe(data, to_json)77        result2 = pipe(data, to_json)78        filename = result1['url']79        output = pd.read_json(filename).to_dict(orient='records')80    finally:81        os.remove(filename)82    assert result1 == result283    assert data == {'values': output}84def test_dataframe_to_csv():85    """Test to_csv with dataframe input86    - make certain the filename is deterministic87    - make certain the file contents match the data88    """89    data = _create_dataframe(10)90    try:91        result1 = pipe(data, to_csv)92        result2 = pipe(data, to_csv)93        filename = result1['url']94        output = pd.read_csv(filename)95    finally:96        os.remove(filename)97    assert result1 == result298    assert output.equals(data)99def test_dict_to_csv():100    """Test to_csv with dict input101    - make certain the filename is deterministic102    - make certain the file contents match the data103    """...

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