DataFrame - sort_values() function The sort_values() function is used to sort by the values along either axis. Syntax: DataFrame.sort_values(self, by, axis=0, ascending=True, inplace=False, kind='quicksort', na_position='last') Parameters: Returns:sorted_obj - DataFrame or None DataFram...
sort_values(["let", "num"]) print(r1) def key_func(s: pd.Series) -> pd.Series: result = s.sort_values() return result r2 = df.sort_values(["let", "num"], key=key_func) print(r2) Issue Description When providing a key argument to sort_values() or sort_index(), and speci...
df.sort_values(by='Alpha', ascending=True, inplace=True)print(df) 输出结果: Alpha BravoFirst 2 5Second 3 6 6. sort_index方法 用处:根据轴标签进行排序。 语法规范:DataFrame.sort_index(axis=0, level=None, ascending=True, inplace=False, kind='quicksort', na_position='last', sort_...
sort_values的调用与这个代数运算符的行为相同。sort_index操作符按照行(列是轴=1)标签的列序进行排序。sort_by代数运算符不与数据的行或列标签交互,所以必须在sort_by运算符之前调用from_labels运算符,将标签移到数据中,以便按照这些标签的值进行排序。在排序之后,to_labels可以将列移回标签中,从而保证与pandas的...
DataFrame.sort_values(by[, axis, ascending]) #Sort by the values along either axis DataFrame.sort_index([axis, level, …]) #Sort object by labels (along an axis) DataFrame.nlargest(n, columns[, keep]) #Get the rows of a DataFrame sorted by the n largest values of columns. ...
df.groupby('column_name').agg('function'):按指定列分组,并对每组应用聚合函数。 数据排序 df.sort_values(by='column_name', ascending=True):按指定列排序。 df.sort_index():按行索引排序。 实践应用 数据清洗 在数据预处理阶段,我们经常需要清洗数据,例如处理缺失值、异常值等。通过DataFrame的dropna()...
DataFrame.combine_first(other) #Combine two DataFrame objects and default to non-null values in frame calling the method. 函数应用&分组&窗口 DataFrame.apply(func[, axis, broadcast, …]) #应用函数 DataFrame.applymap(func) #Apply a function to a DataFrame that is intended to operate elementwise...
DataFrame.sort_values(by[, axis, ascending, …]) Sort by the values along either axis DataFrame.sort_index([axis, level, …]) Sort object by labels (along an axis) DataFrame.nlargest(n, columns[, keep]) Get the rows of a DataFrame sorted by the n largest values of columns. ...
pivot(index="foo", columns="bar", values="N", aggregate_function="first") .lazy() ) out = q.collect() print(out) Melts 代码语言:javascript 代码运行次数:0 运行 AI代码解释 import polars as pl df = pl.DataFrame( { "A": ["a", "b", "a"], "B": [1, 3, 5], "C": [...
DataFrame.sort_index(self[, axis, level, …]) Sort object by labels (along an axis). # 默认axis=0,按行索引对行进行排序;ascending=True,升序排序 df.sort_index(axis=0, ascending=False) # df.sort_index(axis=0, ascending=True) 1