# Python code to demonstrate working of # strip(), lstrip() and rstrip() 1. strip(): Python strip() function is used to delete all the leading and trailing characters mentioned in its argument. If you call string rstrip(chars) method on a string with “\n” as chars to create a new string, then the trailing newline removed. Save my name, email, and website in this browser for the next time I comment. This strips any trailing … The Python 3 documentation refers to "ASCII whitespace" for bytes.strip () / bytes.lstrip () / bytes.rstrip () and "whitespace" for str.strip () / str.lstrip () / str.rstrip (). Other than that, you are free to use whichever you would like to use. ... non-whitespace character of a line by applying str.rstrip to each line, including lines within multiline strings. rstrip () 'A line of text.' 语法 rstrip()方法语法： str.rstrip([chars]) 参数 chars -- 指定删除的字符（默认为空格） 返回值 返回删除 string 字符串末尾的指定字符后生成的新字符串。 实例 以下实例展示了rstrip()函数的使用方法： #!/usr.. def look_for_pythondoc(self, type, token, start, end, line): if type == tokenize.COMMENT and string.rstrip(token) == "##": # found a comment: set things up for comment processing self.comment_start = start self.comment = [] return self.process_comment_body else: # deal with "bare" subjects if token == "def" or token == "class": self.subject_indent = self.indent self.subject_parens = 0 … If no arguments are given the default is to strip whitespace characters. ... Python 3.9. str.rstrip([chars]) Parameters. lstrip () function in python removes all the leading whitespaces or leading spaces of the string. rstrip(): returns a new string with trailing whitespace removed.It’s easier to remember as removing white spaces from “right” side of the string. Table of Content: .lstrip([chars]) .rstrip([chars]) .strip([chars]) 1. Python rstrip()方法 Python 字符串 描述 Python rstrip() 删除 string 字符串末尾的指定字符（默认为空格）. Truth Value Testing¶ Any object can be tested for truth value, for use in an if or while condition or as … rstrip([chars]) chars Optional. If chars argument is omitted or None, whitespace … The second is the Python3 documentation for .strip() The third is a proposal for the new version of Python, Python 3.9 that adds new methods that work more specifically on removing text from the beginning or ending of a string. pandas.io.stata.StataReader.variable_labels, pandas.Series.cat.remove_unused_categories, pandas.arrays.IntervalArray.is_non_overlapping_monotonic, pandas.CategoricalIndex.rename_categories, pandas.CategoricalIndex.reorder_categories, pandas.CategoricalIndex.remove_categories, pandas.CategoricalIndex.remove_unused_categories, pandas.IntervalIndex.is_non_overlapping_monotonic, pandas.DatetimeIndex.indexer_between_time, pandas.tseries.offsets.DateOffset.__call__, pandas.tseries.offsets.DateOffset.rollback, pandas.tseries.offsets.DateOffset.rollforward, pandas.tseries.offsets.DateOffset.freqstr, pandas.tseries.offsets.DateOffset.normalize, pandas.tseries.offsets.DateOffset.rule_code, 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pandas.core.window.expanding.Expanding.skew, pandas.core.window.expanding.Expanding.kurt, pandas.core.window.expanding.Expanding.apply, pandas.core.window.expanding.Expanding.aggregate, pandas.core.window.expanding.Expanding.quantile, pandas.core.window.expanding.Expanding.sem, pandas.core.window.ewm.ExponentialMovingWindow.mean, pandas.core.window.ewm.ExponentialMovingWindow.std, pandas.core.window.ewm.ExponentialMovingWindow.var, pandas.core.window.ewm.ExponentialMovingWindow.corr, pandas.core.window.ewm.ExponentialMovingWindow.cov, pandas.api.indexers.BaseIndexer.get_window_bounds, pandas.api.indexers.FixedForwardWindowIndexer, pandas.api.indexers.FixedForwardWindowIndexer.get_window_bounds, pandas.api.indexers.VariableOffsetWindowIndexer, pandas.api.indexers.VariableOffsetWindowIndexer.get_window_bounds, pandas.core.groupby.SeriesGroupBy.aggregate, pandas.core.groupby.DataFrameGroupBy.aggregate, pandas.core.groupby.SeriesGroupBy.transform, pandas.core.groupby.DataFrameGroupBy.transform, pandas.core.groupby.DataFrameGroupBy.backfill, pandas.core.groupby.DataFrameGroupBy.bfill, pandas.core.groupby.DataFrameGroupBy.corr, pandas.core.groupby.DataFrameGroupBy.count, pandas.core.groupby.DataFrameGroupBy.cumcount, pandas.core.groupby.DataFrameGroupBy.cummax, pandas.core.groupby.DataFrameGroupBy.cummin, pandas.core.groupby.DataFrameGroupBy.cumprod, pandas.core.groupby.DataFrameGroupBy.cumsum, pandas.core.groupby.DataFrameGroupBy.describe, pandas.core.groupby.DataFrameGroupBy.diff, pandas.core.groupby.DataFrameGroupBy.ffill, pandas.core.groupby.DataFrameGroupBy.fillna, pandas.core.groupby.DataFrameGroupBy.filter, pandas.core.groupby.DataFrameGroupBy.hist, pandas.core.groupby.DataFrameGroupBy.idxmax, pandas.core.groupby.DataFrameGroupBy.idxmin, pandas.core.groupby.DataFrameGroupBy.nunique, pandas.core.groupby.DataFrameGroupBy.pct_change, pandas.core.groupby.DataFrameGroupBy.plot, pandas.core.groupby.DataFrameGroupBy.quantile, pandas.core.groupby.DataFrameGroupBy.rank, pandas.core.groupby.DataFrameGroupBy.resample, pandas.core.groupby.DataFrameGroupBy.sample, pandas.core.groupby.DataFrameGroupBy.shift, pandas.core.groupby.DataFrameGroupBy.size, pandas.core.groupby.DataFrameGroupBy.skew, pandas.core.groupby.DataFrameGroupBy.take, pandas.core.groupby.DataFrameGroupBy.tshift, pandas.core.groupby.SeriesGroupBy.nlargest, pandas.core.groupby.SeriesGroupBy.nsmallest, pandas.core.groupby.SeriesGroupBy.nunique, pandas.core.groupby.SeriesGroupBy.value_counts, pandas.core.groupby.SeriesGroupBy.is_monotonic_increasing, pandas.core.groupby.SeriesGroupBy.is_monotonic_decreasing, pandas.core.groupby.DataFrameGroupBy.corrwith, pandas.core.groupby.DataFrameGroupBy.boxplot, pandas.core.resample.Resampler.interpolate, pandas.io.formats.style.Styler.background_gradient, pandas.io.formats.style.Styler.from_custom_template, pandas.io.formats.style.Styler.hide_columns, pandas.io.formats.style.Styler.hide_index, pandas.io.formats.style.Styler.highlight_max, pandas.io.formats.style.Styler.highlight_min, pandas.io.formats.style.Styler.highlight_null, pandas.io.formats.style.Styler.set_caption, pandas.io.formats.style.Styler.set_na_rep, pandas.io.formats.style.Styler.set_precision, pandas.io.formats.style.Styler.set_properties, pandas.io.formats.style.Styler.set_table_attributes, pandas.io.formats.style.Styler.set_table_styles, pandas.io.formats.style.Styler.set_td_classes, pandas.plotting.deregister_matplotlib_converters, pandas.plotting.register_matplotlib_converters, pandas.testing.assert_extension_array_equal, pandas.errors.AccessorRegistrationWarning, pandas.api.types.is_extension_array_dtype, pandas.api.types.is_unsigned_integer_dtype, pandas.api.extensions.register_extension_dtype, pandas.api.extensions.register_dataframe_accessor, pandas.api.extensions.register_series_accessor, pandas.api.extensions.register_index_accessor, pandas.api.extensions.ExtensionDtype.kind, pandas.api.extensions.ExtensionDtype.na_value, pandas.api.extensions.ExtensionDtype.name, pandas.api.extensions.ExtensionDtype.names, pandas.api.extensions.ExtensionDtype.type, pandas.api.extensions.ExtensionDtype.construct_array_type, pandas.api.extensions.ExtensionDtype.construct_from_string, pandas.api.extensions.ExtensionDtype.is_dtype, pandas.api.extensions.ExtensionArray.dtype, pandas.api.extensions.ExtensionArray.nbytes, pandas.api.extensions.ExtensionArray.ndim, pandas.api.extensions.ExtensionArray.shape, pandas.api.extensions.ExtensionArray.argsort, pandas.api.extensions.ExtensionArray.astype, pandas.api.extensions.ExtensionArray.copy, pandas.api.extensions.ExtensionArray.dropna, pandas.api.extensions.ExtensionArray.factorize, pandas.api.extensions.ExtensionArray.fillna, pandas.api.extensions.ExtensionArray.equals, pandas.api.extensions.ExtensionArray.isna, pandas.api.extensions.ExtensionArray.ravel, pandas.api.extensions.ExtensionArray.repeat, pandas.api.extensions.ExtensionArray.searchsorted, pandas.api.extensions.ExtensionArray.shift, pandas.api.extensions.ExtensionArray.take, pandas.api.extensions.ExtensionArray.unique, pandas.api.extensions.ExtensionArray.view, pandas.api.extensions.ExtensionArray._concat_same_type, pandas.api.extensions.ExtensionArray._formatter, pandas.api.extensions.ExtensionArray._from_factorized, pandas.api.extensions.ExtensionArray._from_sequence, pandas.api.extensions.ExtensionArray._from_sequence_of_strings, pandas.api.extensions.ExtensionArray._reduce, pandas.api.extensions.ExtensionArray._values_for_argsort, pandas.api.extensions.ExtensionArray._values_for_factorize.
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