Remove unused utils.pd_read, .pd_write

ixmp/tests/test_utils.py

@@ -1,60 +1,11 @@
 """Tests for ixmp.utils."""
-import pandas as pd
-from pandas.testing import assert_frame_equal
 import pytest
 from pytest import mark, param
 
 from ixmp import utils
 from ixmp.testing import populate_test_platform
 
 
-def make_obs(fname, exp, **kwargs):
-    utils.pd_write(exp, fname, index=False)
-    obs = utils.pd_read(fname, **kwargs)
-    return obs
-
-
-def test_pd_io_csv(tmp_path):
-
-    fname = tmp_path / "test.csv"
-    exp = pd.DataFrame({'a': [0, 1], 'b': [2, 3]})
-    obs = make_obs(fname, exp)
-    assert_frame_equal(obs, exp)
-
-
-def test_pd_io_xlsx(tmp_path):
-
-    fname = tmp_path / "test.xlsx"
-    exp = pd.DataFrame({'a': [0, 1], 'b': [2, 3]})
-    obs = make_obs(fname, exp)
-    assert_frame_equal(obs, exp)
-
-
-def test_pd_io_xlsx_multi(tmp_path):
-
-    fname = tmp_path / "test.xlsx"
-    exp = {
-        'sheet1': pd.DataFrame({'a': [0, 1], 'b': [2, 3]}),
-        'sheet2': pd.DataFrame({'c': [4, 5], 'd': [6, 7]}),
-    }
-    obs = make_obs(fname, exp, sheet_name=None)
-    for k, _exp in exp.items():
-        _obs = obs[k]
-        assert_frame_equal(_obs, _exp)
-
-
-def test_pd_write(tmp_path):
-
-    fname = 'test.csv'
-    d = tmp_path / "sub"
-    d.mkdir()
-
-    data_frame = [1, 2, 3, 4]
-
-    with pytest.raises(ValueError):
-        assert utils.pd_write(data_frame, fname)
-
-
 def test_check_year():
 
     # If y is a string value, raise a Value Error.

ixmp/utils.py

@@ -4,7 +4,6 @@
 from urllib.parse import urlparse
 
 import pandas as pd
-from pathlib import Path
 
 
 # globally accessible logger
@@ -119,33 +118,6 @@ def parse_url(url):
     return platform_info, scenario_info
 
 
-def pd_read(f, *args, **kwargs):
-    """Try to read a file with pandas, no fancy stuff"""
-    f = Path(f)
-    if f.suffix == '.csv':
-        return pd.read_csv(f, *args, **kwargs)
-    else:
-        return pd.read_excel(f, *args, **kwargs)
-
-
-def pd_write(df, f, *args, **kwargs):
-    """Try to write one or more dfs with pandas, no fancy stuff"""
-    f = Path(f)
-    is_pd = isinstance(df, (pd.DataFrame, pd.Series))
-    if f.suffix == '.csv':
-        if not is_pd:
-            raise ValueError('Must pass a Dataframe if using csv files')
-        df.to_csv(f, *args, **kwargs)
-    else:
-        writer = pd.ExcelWriter(f, engine='xlsxwriter')
-        if is_pd:
-            sheet_name = kwargs.pop('sheet_name', 'Sheet1')
-            df = {sheet_name: df}
-        for k, v in df.items():
-            v.to_excel(writer, sheet_name=k, *args, **kwargs)
-        writer.save()
-
-
 def year_list(x):
     """Return the elements of x that can be cast to year (int)."""
     lst = []