In this post, I’ll show you a trick to flatten out MultiIndex Pandas columns to create a single index DataFrame. To start, I am going to create a sample DataFrame: Python 1 df = pd.DataFrame(np.random.randint(3,size=(4, 3)), index = ['apples','apples','oranges','oranges'],...
output_df = pd.DataFrame() for level_0_val in df.index.get_level_values(0).unique(): _ = df.loc[df.index.get_level_values(0) == level_0_val, df.loc[(level_0_val, 'aaa')] == 1] output_df = output_df.append(_) 这里是output_df: 0 1 one aaa 1.0 NaN bbb 4.0 NaN ccc...
left_index : boolean, default False Use the index from the left DataFrame as the join key(s). If it is a MultiIndex, the number of keys in the other DataFrame (either the index or a number of columns) must match the number of levels right_index : boolean, default False Use the inde...
writer = pd.ExcelWriter("D:/yutingxin/SFS维护/OSS/表/删除重复OSS_" + datetime.datetime.strftime(datetime.datetime.now(),'%Y-%m-%d') + "_" + str(len(ossDoubleDelete)) + ".xlsx") ossDouble.to_excel(writer, "重复OSS数据",index=False, encoding='GBK') ossDoubleDelete.to_excel(writer...
If you have column names the same as Index, you will get an error. You can get over this by changing the multi-index names first. df.index=df.index.set_names(['new_index1','new_index2']) 3. MultiIndex to Single Index Sometimes you may be required to convert MultiIndex (multi-level...
df2 = pd.DataFrame ( ['TT'] * len ( df ), index=df.index, columns=pd.MultiIndex.from_product ( [df.columns.levels [0], df.columns.levels [1], ['sub_name']] ) ) # Im just curios whether there is simpler way of creating constant column like this ...
谈到pandas数据的行更新、表合并等操作,一般用到的方法有concat、join、merge。但这三种方法对于很多新手来说,都不太好分清使用的场合与用途。 构造函数 属性和数据 类型转换 索引和迭代 二元运算 函数应用&分组&窗口 描述统计学 从新索引&选取&标签操作
axis])Swap levels i and j in a MultiIndex on a particular axisDataFrame.stack([level, dropna])Pivot a level of the (possibly hierarchical) column labels, returning a DataFrame (or Series in the case of an object with a single level of column labels) having a hierarchical index with a ne...
DataFrame.swaplevel([i, j, axis])Swap levels i and j in a MultiIndex on a particular axis DataFrame.stack([level, dropna])Pivot a level of the (possibly hierarchical) column labels, returning a DataFrame (or Series in the case of an object with a single level of column labels) having ...
Suppose we are given a data frame with some multiindex and we need to shift a column based on the index without having Pandas assign the shifted value to a different index value.Shiftting Pandas DataFrame with a multiindexFor this purpose, we will simply use groupby() and apply the shift(...