本文整理汇总了Python中pandas.io.parsers.read_fwf方法的典型用法代码示例。如果您正苦于以下问题：Python parsers.read_fwf方法的具体用法？Python parsers.read_fwf怎么用？Python parsers.read_fwf使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类pandas.io.parsers的用法示例。
在下文中一共展示了parsers.read_fwf方法的15个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_basic
# 需要导入模块: from pandas.io import parsers [as 别名]
# 或者: from pandas.io.parsers import read_fwf [as 别名]
def test_basic():
data = """\
A B C D
201158 360.242940 149.910199 11950.7
201159 444.953632 166.985655 11788.4
201160 364.136849 183.628767 11806.2
201161 413.836124 184.375703 11916.8
201162 502.953953 173.237159 12468.3
"""
result = read_fwf(StringIO(data))
expected = DataFrame([[201158, 360.242940, 149.910199, 11950.7],
[201159, 444.953632, 166.985655, 11788.4],
[201160, 364.136849, 183.628767, 11806.2],
[201161, 413.836124, 184.375703, 11916.8],
[201162, 502.953953, 173.237159, 12468.3]],
columns=["A", "B", "C", "D"])
tm.assert_frame_equal(result, expected) 示例2: test_colspecs
# 需要导入模块: from pandas.io import parsers [as 别名]
# 或者: from pandas.io.parsers import read_fwf [as 别名]
def test_colspecs():
data = """\
A B C D E
201158 360.242940 149.910199 11950.7
201159 444.953632 166.985655 11788.4
201160 364.136849 183.628767 11806.2
201161 413.836124 184.375703 11916.8
201162 502.953953 173.237159 12468.3
"""
colspecs = [(0, 4), (4, 8), (8, 20), (21, 33), (34, 43)]
result = read_fwf(StringIO(data), colspecs=colspecs)
expected = DataFrame([[2011, 58, 360.242940, 149.910199, 11950.7],
[2011, 59, 444.953632, 166.985655, 11788.4],
[2011, 60, 364.136849, 183.628767, 11806.2],
[2011, 61, 413.836124, 184.375703, 11916.8],
[2011, 62, 502.953953, 173.237159, 12468.3]],
columns=["A", "B", "C", "D", "E"])
tm.assert_frame_equal(result, expected) 示例3: test_widths
# 需要导入模块: from pandas.io import parsers [as 别名]
# 或者: from pandas.io.parsers import read_fwf [as 别名]
def test_widths():
data = """\
A B C D E
2011 58 360.242940 149.910199 11950.7
2011 59 444.953632 166.985655 11788.4
2011 60 364.136849 183.628767 11806.2
2011 61 413.836124 184.375703 11916.8
2011 62 502.953953 173.237159 12468.3
"""
result = read_fwf(StringIO(data), widths=[5, 5, 13, 13, 7])
expected = DataFrame([[2011, 58, 360.242940, 149.910199, 11950.7],
[2011, 59, 444.953632, 166.985655, 11788.4],
[2011, 60, 364.136849, 183.628767, 11806.2],
[2011, 61, 413.836124, 184.375703, 11916.8],
[2011, 62, 502.953953, 173.237159, 12468.3]],
columns=["A", "B", "C", "D", "E"])
tm.assert_frame_equal(result, expected) 示例4: test_non_space_filler
# 需要导入模块: from pandas.io import parsers [as 别名]
# 或者: from pandas.io.parsers import read_fwf [as 别名]
def test_non_space_filler():
# From Thomas Kluyver:
#
# Apparently, some non-space filler characters can be seen, this is
# supported by specifying the 'delimiter' character:
#
# http://publib.boulder.ibm.com/infocenter/dmndhelp/v6r1mx/index.jsp?topic=/com.ibm.wbit.612.help.config.doc/topics/rfixwidth.html
data = """\
A~~~~B~~~~C~~~~~~~~~~~~D~~~~~~~~~~~~E
201158~~~~360.242940~~~149.910199~~~11950.7
201159~~~~444.953632~~~166.985655~~~11788.4
201160~~~~364.136849~~~183.628767~~~11806.2
201161~~~~413.836124~~~184.375703~~~11916.8
201162~~~~502.953953~~~173.237159~~~12468.3
"""
colspecs = [(0, 4), (4, 8), (8, 20), (21, 33), (34, 43)]
result = read_fwf(StringIO(data), colspecs=colspecs, delimiter="~")
expected = DataFrame([[2011, 58, 360.242940, 149.910199, 11950.7],
[2011, 59, 444.953632, 166.985655, 11788.4],
[2011, 60, 364.136849, 183.628767, 11806.2],
[2011, 61, 413.836124, 184.375703, 11916.8],
[2011, 62, 502.953953, 173.237159, 12468.3]],
columns=["A", "B", "C", "D", "E"])
tm.assert_frame_equal(result, expected) 示例5: test_read_csv_compat
# 需要导入模块: from pandas.io import parsers [as 别名]
# 或者: from pandas.io.parsers import read_fwf [as 别名]
def test_read_csv_compat():
csv_data = """\
A,B,C,D,E
2011,58,360.242940,149.910199,11950.7
2011,59,444.953632,166.985655,11788.4
2011,60,364.136849,183.628767,11806.2
2011,61,413.836124,184.375703,11916.8
2011,62,502.953953,173.237159,12468.3
"""
expected = read_csv(StringIO(csv_data), engine="python")
fwf_data = """\
A B C D E
201158 360.242940 149.910199 11950.7
201159 444.953632 166.985655 11788.4
201160 364.136849 183.628767 11806.2
201161 413.836124 184.375703 11916.8
201162 502.953953 173.237159 12468.3
"""
colspecs = [(0, 4), (4, 8), (8, 20), (21, 33), (34, 43)]
result = read_fwf(StringIO(fwf_data), colspecs=colspecs)
tm.assert_frame_equal(result, expected) 示例6: test_fwf_for_uint8
# 需要导入模块: from pandas.io import parsers [as 别名]
# 或者: from pandas.io.parsers import read_fwf [as 别名]
def test_fwf_for_uint8():
data = """1421302965.213420 PRI=3 PGN=0xef00 DST=0x17 SRC=0x28 04 154 00 00 00 00 00 127
1421302964.226776 PRI=6 PGN=0xf002 SRC=0x47 243 00 00 255 247 00 00 71""" # noqa
df = read_fwf(StringIO(data),
colspecs=[(0, 17), (25, 26), (33, 37),
(49, 51), (58, 62), (63, 1000)],
names=["time", "pri", "pgn", "dst", "src", "data"],
converters={
"pgn": lambda x: int(x, 16),
"src": lambda x: int(x, 16),
"dst": lambda x: int(x, 16),
"data": lambda x: len(x.split(" "))})
expected = DataFrame([[1421302965.213420, 3, 61184, 23, 40, 8],
[1421302964.226776, 6, 61442, None, 71, 8]],
columns=["time", "pri", "pgn",
"dst", "src", "data"])
expected["dst"] = expected["dst"].astype(object)
tm.assert_frame_equal(df, expected) 示例7: test_dtype
# 需要导入模块: from pandas.io import parsers [as 别名]
# 或者: from pandas.io.parsers import read_fwf [as 别名]
def test_dtype(dtype):
data = """ a b c
1 2 3.2
3 4 5.2
"""
colspecs = [(0, 5), (5, 10), (10, None)]
result = read_fwf(StringIO(data), colspecs=colspecs, dtype=dtype)
expected = pd.DataFrame({
"a": [1, 3], "b": [2, 4],
"c": [3.2, 5.2]}, columns=["a", "b", "c"])
for col, dt in dtype.items():
expected[col] = expected[col].astype(dt)
tm.assert_frame_equal(result, expected) 示例8: test_fwf_compression
# 需要导入模块: from pandas.io import parsers [as 别名]
# 或者: from pandas.io.parsers import read_fwf [as 别名]
def test_fwf_compression(compression_only, infer):
data = """1111111111
2222222222
3333333333""".strip()
compression = compression_only
extension = "gz" if compression == "gzip" else compression
kwargs = dict(widths=[5, 5], names=["one", "two"])
expected = read_fwf(StringIO(data), **kwargs)
if compat.PY3:
data = bytes(data, encoding="utf-8")
with tm.ensure_clean(filename="tmp." + extension) as path:
tm.write_to_compressed(compression, path, data)
if infer is not None:
kwargs["compression"] = "infer" if infer else compression
result = read_fwf(path, **kwargs)
tm.assert_frame_equal(result, expected) 示例9: test_fwf_colspecs_None
# 需要导入模块: from pandas.io import parsers [as 别名]
# 或者: from pandas.io.parsers import read_fwf [as 别名]
def test_fwf_colspecs_None(self):
# GH 7079
data = """\
123456
456789
"""
colspecs = [(0, 3), (3, None)]
result = read_fwf(StringIO(data), colspecs=colspecs, header=None)
expected = DataFrame([[123, 456], [456, 789]])
tm.assert_frame_equal(result, expected)
colspecs = [(None, 3), (3, 6)]
result = read_fwf(StringIO(data), colspecs=colspecs, header=None)
expected = DataFrame([[123, 456], [456, 789]])
tm.assert_frame_equal(result, expected)
colspecs = [(0, None), (3, None)]
result = read_fwf(StringIO(data), colspecs=colspecs, header=None)
expected = DataFrame([[123456, 456], [456789, 789]])
tm.assert_frame_equal(result, expected)
colspecs = [(None, None), (3, 6)]
result = read_fwf(StringIO(data), colspecs=colspecs, header=None)
expected = DataFrame([[123456, 456], [456789, 789]])
tm.assert_frame_equal(result, expected) 示例10: test_fwf_compression
# 需要导入模块: from pandas.io import parsers [as 别名]
# 或者: from pandas.io.parsers import read_fwf [as 别名]
def test_fwf_compression(self):
try:
import gzip
import bz2
except ImportError:
pytest.skip("Need gzip and bz2 to run this test")
data = """1111111111
2222222222
3333333333""".strip()
widths = [5, 5]
names = ['one', 'two']
expected = read_fwf(StringIO(data), widths=widths, names=names)
if compat.PY3:
data = bytes(data, encoding='utf-8')
comps = [('gzip', gzip.GzipFile), ('bz2', bz2.BZ2File)]
for comp_name, compresser in comps:
with tm.ensure_clean() as path:
tmp = compresser(path, mode='wb')
tmp.write(data)
tmp.close()
result = read_fwf(path, widths=widths, names=names,
compression=comp_name)
tm.assert_frame_equal(result, expected) 示例11: test_over_specified
# 需要导入模块: from pandas.io import parsers [as 别名]
# 或者: from pandas.io.parsers import read_fwf [as 别名]
def test_over_specified():
data = """\
A B C D E
201158 360.242940 149.910199 11950.7
201159 444.953632 166.985655 11788.4
201160 364.136849 183.628767 11806.2
201161 413.836124 184.375703 11916.8
201162 502.953953 173.237159 12468.3
"""
colspecs = [(0, 4), (4, 8), (8, 20), (21, 33), (34, 43)]
with pytest.raises(ValueError, match="must specify only one of"):
read_fwf(StringIO(data), colspecs=colspecs, widths=[6, 10, 10, 7]) 示例12: test_bytes_io_input
# 需要导入模块: from pandas.io import parsers [as 别名]
# 或者: from pandas.io.parsers import read_fwf [as 别名]
def test_bytes_io_input():
if not compat.PY3:
pytest.skip("Bytes-related test - only needs to work on Python 3")
result = read_fwf(BytesIO("שלום\nשלום".encode('utf8')),
widths=[2, 2], encoding="utf8")
expected = DataFrame([["של", "ום"]], columns=["של", "ום"])
tm.assert_frame_equal(result, expected) 示例13: test_fwf_colspecs_is_list_or_tuple
# 需要导入模块: from pandas.io import parsers [as 别名]
# 或者: from pandas.io.parsers import read_fwf [as 别名]
def test_fwf_colspecs_is_list_or_tuple():
data = """index,A,B,C,D
foo,2,3,4,5
bar,7,8,9,10
baz,12,13,14,15
qux,12,13,14,15
foo2,12,13,14,15
bar2,12,13,14,15
"""
msg = "column specifications must be a list or tuple.+"
with pytest.raises(TypeError, match=msg):
read_fwf(StringIO(data), colspecs={"a": 1}, delimiter=",") 示例14: test_fwf_colspecs_is_list_or_tuple_of_two_element_tuples
# 需要导入模块: from pandas.io import parsers [as 别名]
# 或者: from pandas.io.parsers import read_fwf [as 别名]
def test_fwf_colspecs_is_list_or_tuple_of_two_element_tuples():
data = """index,A,B,C,D
foo,2,3,4,5
bar,7,8,9,10
baz,12,13,14,15
qux,12,13,14,15
foo2,12,13,14,15
bar2,12,13,14,15
"""
msg = "Each column specification must be.+"
with pytest.raises(TypeError, match=msg):
read_fwf(StringIO(data), [("a", 1)]) 示例15: test_fwf_colspecs_none
# 需要导入模块: from pandas.io import parsers [as 别名]
# 或者: from pandas.io.parsers import read_fwf [as 别名]
def test_fwf_colspecs_none(colspecs, exp_data):
# see gh-7079
data = """\
123456
456789
"""
expected = DataFrame(exp_data)
result = read_fwf(StringIO(data), colspecs=colspecs, header=None)
tm.assert_frame_equal(result, expected)