本文整理汇总了Python中pandas.Series.from_csv方法的典型用法代码示例。如果您正苦于以下问题：Python Series.from_csv方法的具体用法？Python Series.from_csv怎么用？Python Series.from_csv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.Series的用法示例。
在下文中一共展示了Series.from_csv方法的4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_from_csv_deprecation
# 需要导入模块: from pandas import Series [as 别名]
# 或者: from pandas.Series import from_csv [as 别名]
def test_from_csv_deprecation(self, datetime_series):
# see gh-17812
with ensure_clean() as path:
datetime_series.to_csv(path, header=False)
with tm.assert_produces_warning(FutureWarning,
check_stacklevel=False):
ts = self.read_csv(path)
depr_ts = Series.from_csv(path)
assert_series_equal(depr_ts, ts) 示例2: test_from_csv_deprecation
# 需要导入模块: from pandas import Series [as 别名]
# 或者: from pandas.Series import from_csv [as 别名]
def test_from_csv_deprecation(self):
# see gh-17812
with ensure_clean() as path:
self.ts.to_csv(path)
with tm.assert_produces_warning(FutureWarning,
check_stacklevel=False):
ts = self.read_csv(path)
depr_ts = Series.from_csv(path)
assert_series_equal(depr_ts, ts) 示例3: test_from_csv
# 需要导入模块: from pandas import Series [as 别名]
# 或者: from pandas.Series import from_csv [as 别名]
def test_from_csv(self, datetime_series, string_series):
with ensure_clean() as path:
datetime_series.to_csv(path, header=False)
ts = self.read_csv(path)
assert_series_equal(datetime_series, ts, check_names=False)
assert ts.name is None
assert ts.index.name is None
with tm.assert_produces_warning(FutureWarning,
check_stacklevel=False):
depr_ts = Series.from_csv(path)
assert_series_equal(depr_ts, ts)
# see gh-10483
datetime_series.to_csv(path, header=True)
ts_h = self.read_csv(path, header=0)
assert ts_h.name == "ts"
string_series.to_csv(path, header=False)
series = self.read_csv(path)
assert_series_equal(string_series, series, check_names=False)
assert series.name is None
assert series.index.name is None
string_series.to_csv(path, header=True)
series_h = self.read_csv(path, header=0)
assert series_h.name == "series"
with open(path, "w") as outfile:
outfile.write("1998-01-01|1.0\n1999-01-01|2.0")
series = self.read_csv(path, sep="|")
check_series = Series({datetime(1998, 1, 1): 1.0,
datetime(1999, 1, 1): 2.0})
assert_series_equal(check_series, series)
series = self.read_csv(path, sep="|", parse_dates=False)
check_series = Series({"1998-01-01": 1.0, "1999-01-01": 2.0})
assert_series_equal(check_series, series) 示例4: test_from_csv
# 需要导入模块: from pandas import Series [as 别名]
# 或者: from pandas.Series import from_csv [as 别名]
def test_from_csv(self):
with ensure_clean() as path:
self.ts.to_csv(path)
ts = self.read_csv(path)
assert_series_equal(self.ts, ts, check_names=False)
assert ts.name is None
assert ts.index.name is None
with tm.assert_produces_warning(FutureWarning,
check_stacklevel=False):
depr_ts = Series.from_csv(path)
assert_series_equal(depr_ts, ts)
# see gh-10483
self.ts.to_csv(path, header=True)
ts_h = self.read_csv(path, header=0)
assert ts_h.name == "ts"
self.series.to_csv(path)
series = self.read_csv(path)
assert_series_equal(self.series, series, check_names=False)
assert series.name is None
assert series.index.name is None
self.series.to_csv(path, header=True)
series_h = self.read_csv(path, header=0)
assert series_h.name == "series"
outfile = open(path, "w")
outfile.write("1998-01-01|1.0\n1999-01-01|2.0")
outfile.close()
series = self.read_csv(path, sep="|")
check_series = Series({datetime(1998, 1, 1): 1.0,
datetime(1999, 1, 1): 2.0})
assert_series_equal(check_series, series)
series = self.read_csv(path, sep="|", parse_dates=False)
check_series = Series({"1998-01-01": 1.0, "1999-01-01": 2.0})
assert_series_equal(check_series, series)