mirror of
https://github.com/PiBrewing/craftbeerpi4.git
synced 2024-11-23 07:28:13 +01:00
77 lines
2.7 KiB
Python
77 lines
2.7 KiB
Python
|
from pathlib import Path
|
||
|
|
|
||
|
|
import numpy as np
|
||
|
|
import pytest
|
||
|
|
|
||
|
|
import pandas as pd
|
||
|
|
import pandas._testing as tm
|
||
|
|
|
||
|
|
pyreadstat = pytest.importorskip("pyreadstat")
|
||
|
|
|
||
|
|
|
||
|
|
@pytest.mark.parametrize("path_klass", [lambda p: p, Path])
|
||
|
|
def test_spss_labelled_num(path_klass, datapath):
|
||
|
|
# test file from the Haven project (https://haven.tidyverse.org/)
|
||
|
|
fname = path_klass(datapath("io", "data", "spss", "labelled-num.sav"))
|
||
|
|
|
||
|
|
df = pd.read_spss(fname, convert_categoricals=True)
|
||
|
|
expected = pd.DataFrame({"VAR00002": "This is one"}, index=[0])
|
||
|
|
expected["VAR00002"] = pd.Categorical(expected["VAR00002"])
|
||
|
|
tm.assert_frame_equal(df, expected)
|
||
|
|
|
||
|
|
df = pd.read_spss(fname, convert_categoricals=False)
|
||
|
|
expected = pd.DataFrame({"VAR00002": 1.0}, index=[0])
|
||
|
|
tm.assert_frame_equal(df, expected)
|
||
|
|
|
||
|
|
|
||
|
|
def test_spss_labelled_num_na(datapath):
|
||
|
|
# test file from the Haven project (https://haven.tidyverse.org/)
|
||
|
|
fname = datapath("io", "data", "spss", "labelled-num-na.sav")
|
||
|
|
|
||
|
|
df = pd.read_spss(fname, convert_categoricals=True)
|
||
|
|
expected = pd.DataFrame({"VAR00002": ["This is one", None]})
|
||
|
|
expected["VAR00002"] = pd.Categorical(expected["VAR00002"])
|
||
|
|
tm.assert_frame_equal(df, expected)
|
||
|
|
|
||
|
|
df = pd.read_spss(fname, convert_categoricals=False)
|
||
|
|
expected = pd.DataFrame({"VAR00002": [1.0, np.nan]})
|
||
|
|
tm.assert_frame_equal(df, expected)
|
||
|
|
|
||
|
|
|
||
|
|
def test_spss_labelled_str(datapath):
|
||
|
|
# test file from the Haven project (https://haven.tidyverse.org/)
|
||
|
|
fname = datapath("io", "data", "spss", "labelled-str.sav")
|
||
|
|
|
||
|
|
df = pd.read_spss(fname, convert_categoricals=True)
|
||
|
|
expected = pd.DataFrame({"gender": ["Male", "Female"]})
|
||
|
|
expected["gender"] = pd.Categorical(expected["gender"])
|
||
|
|
tm.assert_frame_equal(df, expected)
|
||
|
|
|
||
|
|
df = pd.read_spss(fname, convert_categoricals=False)
|
||
|
|
expected = pd.DataFrame({"gender": ["M", "F"]})
|
||
|
|
tm.assert_frame_equal(df, expected)
|
||
|
|
|
||
|
|
|
||
|
|
def test_spss_umlauts(datapath):
|
||
|
|
# test file from the Haven project (https://haven.tidyverse.org/)
|
||
|
|
fname = datapath("io", "data", "spss", "umlauts.sav")
|
||
|
|
|
||
|
|
df = pd.read_spss(fname, convert_categoricals=True)
|
||
|
|
expected = pd.DataFrame(
|
||
|
|
{"var1": ["the ä umlaut", "the ü umlaut", "the ä umlaut", "the ö umlaut"]}
|
||
|
|
)
|
||
|
|
expected["var1"] = pd.Categorical(expected["var1"])
|
||
|
|
tm.assert_frame_equal(df, expected)
|
||
|
|
|
||
|
|
df = pd.read_spss(fname, convert_categoricals=False)
|
||
|
|
expected = pd.DataFrame({"var1": [1.0, 2.0, 1.0, 3.0]})
|
||
|
|
tm.assert_frame_equal(df, expected)
|
||
|
|
|
||
|
|
|
||
|
|
def test_spss_usecols(datapath):
|
||
|
|
# usecols must be list-like
|
||
|
|
fname = datapath("io", "data", "spss", "labelled-num.sav")
|
||
|
|
|
||
|
|
with pytest.raises(TypeError, match="usecols must be list-like."):
|
||
|
|
pd.read_spss(fname, usecols="VAR00002")
|