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"""Test support of the various forms of tabular data."""
from tabulate import tabulate
from common import assert_equal, assert_in, raises, skip
try:
from collections import UserDict
except ImportError:
# Python2
from UserDict import UserDict
def test_iterable_of_iterables():
"Input: an interable of iterables."
ii = iter(map(lambda x: iter(x), [range(5), range(5, 0, -1)]))
expected = "\n".join(
["- - - - -", "0 1 2 3 4", "5 4 3 2 1", "- - - - -"]
)
result = tabulate(ii)
assert_equal(expected, result)
def test_iterable_of_iterables_headers():
"Input: an interable of iterables with headers."
ii = iter(map(lambda x: iter(x), [range(5), range(5, 0, -1)]))
expected = "\n".join(
[
" a b c d e",
"--- --- --- --- ---",
" 0 1 2 3 4",
" 5 4 3 2 1",
]
)
result = tabulate(ii, "abcde")
assert_equal(expected, result)
def test_iterable_of_iterables_firstrow():
"Input: an interable of iterables with the first row as headers"
ii = iter(map(lambda x: iter(x), ["abcde", range(5), range(5, 0, -1)]))
expected = "\n".join(
[
" a b c d e",
"--- --- --- --- ---",
" 0 1 2 3 4",
" 5 4 3 2 1",
]
)
result = tabulate(ii, "firstrow")
assert_equal(expected, result)
def test_list_of_lists():
"Input: a list of lists with headers."
ll = [["a", "one", 1], ["b", "two", None]]
expected = "\n".join(
[
" string number",
"-- -------- --------",
"a one 1",
"b two",
]
)
result = tabulate(ll, headers=["string", "number"])
assert_equal(expected, result)
def test_list_of_lists_firstrow():
"Input: a list of lists with the first row as headers."
ll = [["string", "number"], ["a", "one", 1], ["b", "two", None]]
expected = "\n".join(
[
" string number",
"-- -------- --------",
"a one 1",
"b two",
]
)
result = tabulate(ll, headers="firstrow")
assert_equal(expected, result)
def test_list_of_lists_keys():
"Input: a list of lists with column indices as headers."
ll = [["a", "one", 1], ["b", "two", None]]
expected = "\n".join(
["0 1 2", "--- --- ---", "a one 1", "b two"]
)
result = tabulate(ll, headers="keys")
assert_equal(expected, result)
def test_dict_like():
"Input: a dict of iterables with keys as headers."
# columns should be padded with None, keys should be used as headers
dd = {"a": range(3), "b": range(101, 105)}
# keys' order (hence columns' order) is not deterministic in Python 3
# => we have to consider both possible results as valid
expected1 = "\n".join(
[" a b", "--- ---", " 0 101", " 1 102", " 2 103", " 104"]
)
expected2 = "\n".join(
[" b a", "--- ---", "101 0", "102 1", "103 2", "104"]
)
result = tabulate(dd, "keys")
print("Keys' order: %s" % dd.keys())
assert_in(result, [expected1, expected2])
def test_numpy_2d():
"Input: a 2D NumPy array with headers."
try:
import numpy
na = (numpy.arange(1, 10, dtype=numpy.float32).reshape((3, 3)) ** 3) * 0.5
expected = "\n".join(
[
" a b c",
"----- ----- -----",
" 0.5 4 13.5",
" 32 62.5 108",
"171.5 256 364.5",
]
)
result = tabulate(na, ["a", "b", "c"])
assert_equal(expected, result)
except ImportError:
skip("test_numpy_2d is skipped")
def test_numpy_2d_firstrow():
"Input: a 2D NumPy array with the first row as headers."
try:
import numpy
na = numpy.arange(1, 10, dtype=numpy.int32).reshape((3, 3)) ** 3
expected = "\n".join(
[" 1 8 27", "--- --- ----", " 64 125 216", "343 512 729"]
)
result = tabulate(na, headers="firstrow")
assert_equal(expected, result)
except ImportError:
skip("test_numpy_2d_firstrow is skipped")
def test_numpy_2d_keys():
"Input: a 2D NumPy array with column indices as headers."
try:
import numpy
na = (numpy.arange(1, 10, dtype=numpy.float32).reshape((3, 3)) ** 3) * 0.5
expected = "\n".join(
[
" 0 1 2",
"----- ----- -----",
" 0.5 4 13.5",
" 32 62.5 108",
"171.5 256 364.5",
]
)
result = tabulate(na, headers="keys")
assert_equal(expected, result)
except ImportError:
skip("test_numpy_2d_keys is skipped")
def test_numpy_record_array():
"Input: a 2D NumPy record array without header."
try:
import numpy
na = numpy.asarray(
[("Alice", 23, 169.5), ("Bob", 27, 175.0)],
dtype={
"names": ["name", "age", "height"],
"formats": ["a32", "uint8", "float32"],
},
)
expected = "\n".join(
[
"----- -- -----",
"Alice 23 169.5",
"Bob 27 175",
"----- -- -----",
]
)
result = tabulate(na)
assert_equal(expected, result)
except ImportError:
skip("test_numpy_2d_keys is skipped")
def test_numpy_record_array_keys():
"Input: a 2D NumPy record array with column names as headers."
try:
import numpy
na = numpy.asarray(
[("Alice", 23, 169.5), ("Bob", 27, 175.0)],
dtype={
"names": ["name", "age", "height"],
"formats": ["a32", "uint8", "float32"],
},
)
expected = "\n".join(
[
"name age height",
"------ ----- --------",
"Alice 23 169.5",
"Bob 27 175",
]
)
result = tabulate(na, headers="keys")
assert_equal(expected, result)
except ImportError:
skip("test_numpy_2d_keys is skipped")
def test_numpy_record_array_headers():
"Input: a 2D NumPy record array with user-supplied headers."
try:
import numpy
na = numpy.asarray(
[("Alice", 23, 169.5), ("Bob", 27, 175.0)],
dtype={
"names": ["name", "age", "height"],
"formats": ["a32", "uint8", "float32"],
},
)
expected = "\n".join(
[
"person years cm",
"-------- ------- -----",
"Alice 23 169.5",
"Bob 27 175",
]
)
result = tabulate(na, headers=["person", "years", "cm"])
assert_equal(expected, result)
except ImportError:
skip("test_numpy_2d_keys is skipped")
def test_pandas():
"Input: a Pandas DataFrame."
try:
import pandas
df = pandas.DataFrame([["one", 1], ["two", None]], index=["a", "b"])
expected = "\n".join(
[
" string number",
"-- -------- --------",
"a one 1",
"b two nan",
]
)
result = tabulate(df, headers=["string", "number"])
assert_equal(expected, result)
except ImportError:
skip("test_pandas is skipped")
def test_pandas_firstrow():
"Input: a Pandas DataFrame with the first row as headers."
try:
import pandas
df = pandas.DataFrame(
[["one", 1], ["two", None]], columns=["string", "number"], index=["a", "b"]
)
expected = "\n".join(
["a one 1.0", "--- ----- -----", "b two nan"]
)
result = tabulate(df, headers="firstrow")
assert_equal(expected, result)
except ImportError:
skip("test_pandas_firstrow is skipped")
def test_pandas_keys():
"Input: a Pandas DataFrame with keys as headers."
try:
import pandas
df = pandas.DataFrame(
[["one", 1], ["two", None]], columns=["string", "number"], index=["a", "b"]
)
expected = "\n".join(
[
" string number",
"-- -------- --------",
"a one 1",
"b two nan",
]
)
result = tabulate(df, headers="keys")
assert_equal(expected, result)
except ImportError:
skip("test_pandas_keys is skipped")
def test_sqlite3():
"Input: an sqlite3 cursor"
try:
import sqlite3
conn = sqlite3.connect(":memory:")
cursor = conn.cursor()
cursor.execute("CREATE TABLE people (name, age, height)")
for values in [("Alice", 23, 169.5), ("Bob", 27, 175.0)]:
cursor.execute("INSERT INTO people VALUES (?, ?, ?)", values)
cursor.execute("SELECT name, age, height FROM people ORDER BY name")
result = tabulate(cursor, headers=["whom", "how old", "how tall"])
expected = """\
whom how old how tall
------ --------- ----------
Alice 23 169.5
Bob 27 175"""
assert_equal(expected, result)
except ImportError:
skip("test_sqlite3 is skipped")
def test_sqlite3_keys():
"Input: an sqlite3 cursor with keys as headers"
try:
import sqlite3
conn = sqlite3.connect(":memory:")
cursor = conn.cursor()
cursor.execute("CREATE TABLE people (name, age, height)")
for values in [("Alice", 23, 169.5), ("Bob", 27, 175.0)]:
cursor.execute("INSERT INTO people VALUES (?, ?, ?)", values)
cursor.execute(
'SELECT name "whom", age "how old", height "how tall" FROM people ORDER BY name'
)
result = tabulate(cursor, headers="keys")
expected = """\
whom how old how tall
------ --------- ----------
Alice 23 169.5
Bob 27 175"""
assert_equal(expected, result)
except ImportError:
skip("test_sqlite3_keys is skipped")
def test_list_of_namedtuples():
"Input: a list of named tuples with field names as headers."
from collections import namedtuple
NT = namedtuple("NT", ["foo", "bar"])
lt = [NT(1, 2), NT(3, 4)]
expected = "\n".join(["- -", "1 2", "3 4", "- -"])
result = tabulate(lt)
assert_equal(expected, result)
def test_list_of_namedtuples_keys():
"Input: a list of named tuples with field names as headers."
from collections import namedtuple
NT = namedtuple("NT", ["foo", "bar"])
lt = [NT(1, 2), NT(3, 4)]
expected = "\n".join(
[" foo bar", "----- -----", " 1 2", " 3 4"]
)
result = tabulate(lt, headers="keys")
assert_equal(expected, result)
def test_list_of_dicts():
"Input: a list of dictionaries."
lod = [{"foo": 1, "bar": 2}, {"foo": 3, "bar": 4}]
expected1 = "\n".join(["- -", "1 2", "3 4", "- -"])
expected2 = "\n".join(["- -", "2 1", "4 3", "- -"])
result = tabulate(lod)
assert_in(result, [expected1, expected2])
def test_list_of_userdicts():
"Input: a list of UserDicts."
lod = [UserDict(foo=1, bar=2), UserDict(foo=3, bar=4)]
expected1 = "\n".join(["- -", "1 2", "3 4", "- -"])
expected2 = "\n".join(["- -", "2 1", "4 3", "- -"])
result = tabulate(lod)
assert_in(result, [expected1, expected2])
def test_list_of_dicts_keys():
"Input: a list of dictionaries, with keys as headers."
lod = [{"foo": 1, "bar": 2}, {"foo": 3, "bar": 4}]
expected1 = "\n".join(
[" foo bar", "----- -----", " 1 2", " 3 4"]
)
expected2 = "\n".join(
[" bar foo", "----- -----", " 2 1", " 4 3"]
)
result = tabulate(lod, headers="keys")
assert_in(result, [expected1, expected2])
def test_list_of_userdicts_keys():
"Input: a list of UserDicts."
lod = [UserDict(foo=1, bar=2), UserDict(foo=3, bar=4)]
expected1 = "\n".join(
[" foo bar", "----- -----", " 1 2", " 3 4"]
)
expected2 = "\n".join(
[" bar foo", "----- -----", " 2 1", " 4 3"]
)
result = tabulate(lod, headers="keys")
assert_in(result, [expected1, expected2])
def test_list_of_dicts_with_missing_keys():
"Input: a list of dictionaries, with missing keys."
lod = [{"foo": 1}, {"bar": 2}, {"foo": 4, "baz": 3}]
expected = "\n".join(
[
" foo bar baz",
"----- ----- -----",
" 1",
" 2",
" 4 3",
]
)
result = tabulate(lod, headers="keys")
assert_equal(expected, result)
def test_list_of_dicts_firstrow():
"Input: a list of dictionaries, with the first dict as headers."
lod = [{"foo": "FOO", "bar": "BAR"}, {"foo": 3, "bar": 4, "baz": 5}]
# if some key is missing in the first dict, use the key name instead
expected1 = "\n".join(
[" FOO BAR baz", "----- ----- -----", " 3 4 5"]
)
expected2 = "\n".join(
[" BAR FOO baz", "----- ----- -----", " 4 3 5"]
)
result = tabulate(lod, headers="firstrow")
assert_in(result, [expected1, expected2])
def test_list_of_dicts_with_dict_of_headers():
"Input: a dict of user headers for a list of dicts (issue #23)"
table = [{"letters": "ABCDE", "digits": 12345}]
headers = {"digits": "DIGITS", "letters": "LETTERS"}
expected1 = "\n".join(
[" DIGITS LETTERS", "-------- ---------", " 12345 ABCDE"]
)
expected2 = "\n".join(
["LETTERS DIGITS", "--------- --------", "ABCDE 12345"]
)
result = tabulate(table, headers=headers)
assert_in(result, [expected1, expected2])
def test_list_of_dicts_with_list_of_headers():
"Input: ValueError on a list of headers with a list of dicts (issue #23)"
table = [{"letters": "ABCDE", "digits": 12345}]
headers = ["DIGITS", "LETTERS"]
with raises(ValueError):
tabulate(table, headers=headers)
def test_list_of_ordereddicts():
"Input: a list of OrderedDicts."
from collections import OrderedDict
od = OrderedDict([("b", 1), ("a", 2)])
lod = [od, od]
expected = "\n".join([" b a", "--- ---", " 1 2", " 1 2"])
result = tabulate(lod, headers="keys")
assert_equal(expected, result)
def test_py37orlater_list_of_dataclasses_keys():
"Input: a list of dataclasses with first item's fields as keys and headers"
try:
from dataclasses import make_dataclass
Person = make_dataclass("Person", ["name", "age", "height"])
ld = [Person("Alice", 23, 169.5), Person("Bob", 27, 175.0)]
result = tabulate(ld, headers="keys")
expected = "\n".join(
[
"name age height",
"------ ----- --------",
"Alice 23 169.5",
"Bob 27 175",
]
)
assert_equal(expected, result)
except ImportError:
skip("test_py37orlater_list_of_dataclasses_keys is skipped")
def test_py37orlater_list_of_dataclasses_headers():
"Input: a list of dataclasses with user-supplied headers"
try:
from dataclasses import make_dataclass
Person = make_dataclass("Person", ["name", "age", "height"])
ld = [Person("Alice", 23, 169.5), Person("Bob", 27, 175.0)]
result = tabulate(ld, headers=["person", "years", "cm"])
expected = "\n".join(
[
"person years cm",
"-------- ------- -----",
"Alice 23 169.5",
"Bob 27 175",
]
)
assert_equal(expected, result)
except ImportError:
skip("test_py37orlater_list_of_dataclasses_headers is skipped")
def test_list_bytes():
"Input: a list of bytes. (issue #192)"
lb = [["你好".encode("utf-8")], ["你好"]]
expected = "\n".join(
["bytes", "---------------------------", r"b'\xe4\xbd\xa0\xe5\xa5\xbd'", "你好"]
)
result = tabulate(lb, headers=["bytes"])
assert_equal(expected, result)
def test_colalign_with_bad_type():
"""
Input: colalign which is not a list or tuple.
"""
table = []
with raises(ValueError, match="colalign should be a list or tuple."):
tabulate(table, colalign="right")
def test_more_colalign_than_headers():
"""
Input: a list of headers and colalign with more colalign than headers.
"""
table = [
("sequare", 4),
("triangle", 3),
("circle", 1)
]
headers = ["name", "sides"]
colalign = ["left", "right", "right"]
tabulate(table, headers=headers, colalign=colalign)
def test_colalign_with_empty_input():
"""
Input: a list of headers and colalign with more colalign than headers.
"""
table = []
headers = ["h1", "h2"]
colalign = ["left", "right"]
tabulate(table, headers=headers, colalign=colalign)