(self, key, value) 1284 ) 1285 1286 check_dict_or_set_indexers(key) 1287 key = com.apply_if_callable(key, self) -> 1288 cacher_needs_updating = self._check_is_chained_assignment_possible() 1289 1290 if key is Ellipsis: 1291 key = slice(None) ~/work/pandas/pandas/pandas/core/seri...
Select row by integer location df.iloc[loc] Series Slice rows df[5:10] DataFrame Select by boolean vec df[bool_vec]) DataFrame 其中Boolean indexing、where和mask稍微复杂一点。 代码语言:javascript 代码运行次数:0 运行 AI代码解释 # boolean indexing, boolean index | & ~ grouped by using parenthes...
10.slice_replace 使用给定的字符串,替换指定的位置的字符 df["电话号码"].str.slice_replace(4,8,"*"*4) 11.replace 将指定位置的字符,替换为给定的字符串 df["身高"].str.replace(":","-") 12.replace 将指定位置的字符,替换为给定的字符串(接受正则表达式) replace中传入正则表达式,才叫好用; 先不...
你可以使用by关键字参数创建分组来创建分层箱线图。例如, In [48]: df = pd.DataFrame(np.random.rand(10, 2), columns=["Col1", "Col2"]) In [49]: df["X"] = pd.Series(["A", "A", "A", "A", "A", "B", "B", "B", "B", "B"]) In [50]: plt.figure(); In [51]...
10.slice_replace 使用给定的字符串,替换指定的位置的字符 df["电话号码"].str.slice_replace(4,8,"*"*4) 1. 11.replace 将指定位置的字符,替换为给定的字符串 df["身高"].str.replace(":","-") 1. 12.replace 将指定位置的字符,替换为给定的字符串(接受正则表达式) replace中传入正则表达式,才叫好...
14、slice() 按给点的开始结束位置切割字符串>>> s.str.slice(1,3)0 _b1 _d2 NaN3 _gdtype: object15、slice_replace() 使用给定的字符串,替换指定的位置的字符>>> s.str.slice_replace(1, 3, "?")0 a?_c1 c?_e2 NaN3 f?_h
select选择列的方法 1、选择行 方法一: 在filter方法中,将用于选择行的条件作为表达式传递。 官方文档示例:注意filter函数内是pl.col不是df.col multi_filter_df = df.filter((pl.col("id") <= 2) & (pl.col("size") == "small")) 方法二:使用slice方法切片。通过起始行和偏移量来切片。
We can tell that the index is not unique by checking itsis_uniqueproperty: dup_ts.index.is_unique 1. False 1. Indexing into this time series will now either produce scalar values or slice depending on whether a timestamp is duplicated: ...
选择(Selection): df.select([..]), df.with_columns([..]) 过滤(Filtering): df.filter 分组/聚合(Group by / Aggregation): df.group_by(..).agg([..]) df = pl.DataFrame( { "nrs": [1,2,3, None,5], "names": ["foo","ham","spam","egg", None], ...
print "Values slice by date", sunspots["20020101": "20131231"] print "Slice from a list of indices", sunspots.iloc[[2, 4, -4, -2]] print "Scalar with Iloc", sunspots.iloc[0, 0] print "Scalar with iat", sunspots.iat[1, 0] ...