Pandas multiindex from tuples python. Note that the length of .

Pandas multiindex from tuples python from_tuples(). Each column in a MultiIndex is linked to one another through a parent/relationship. Jan 5, 2025 · Convert Pandas MultiIndex to Columns . Jun 7, 2020 · It is possible if MultiIndex for all columns: First convert ID to index by DataFrame. With the latest pandas (>= 0. It is one of the several ways in which we construct a MultiIndex. While this can be done using len(pan pd. pandasでMultiIndexを作成する方法はいくつかありますが、ここでは、以下の方法について説明します。 Feb 20, 2024 · Each tuple represents a single level in the hierarchy: tuples = list(zip(*arrays)) index = pd. DataFrameやpandas. 166318 y 0. format function. Feb 3, 2015 · I would like to create an empty DataFrame with a MultiIndex before assigning rows to it. I want to return a list of tuples that I would use to make a selection with DataFrame. 927342 0. DataFrame(data) follows different code paths when data is a tuple as opposed to a list. The Counter dictionary looks like this: (a, b) : 5 (c, d) : 7 (a, d) : 2 Those dictionary keys are tuples where the first is to become the row, and the second the column of the dataframe. loc['my_home_city',:]=d df Out[994]: distance near far vehicle bike car bike car city NaN NaN NaN NaN my_home_city 1 0 0 1 Mar 2, 2024 · 💡 Problem Formulation: In the pandas library for Python, data frames can possess hierarchical indices, known as MultiIndex. as_tuples() to do, which unfortunately does not exist. The best option is to use a MultiIndex, which stores underlying values efficiently via NumPy arrays. With MultiIndex, pandas objects have multiple levels of index labels. In that case, you can construct the index ahead of time, then use that as the index parameter when constructing the series. , my_index. randn(5,4), columns = l) df Out[186]: (A, a) (A, b) (B, a) (B, b) 0 -0. Pandas offers an elegant way to create a MultiIndex directly from a DataFrame using MultiIndex. 463058 -0. uid tid text. loc[[('a', 'one', 2)]] position letters numbers_0 numbers_1 a one 2 1 Jul 14, 2017 · I created a dataframe from a list of dataframes like this: team_df = pd. Try Teams for free Explore Teams Nov 17, 2023 · A possibly more efficient way is to do the combination at an array level, using np. import pandas as pd df = pd. In this article, […] Oct 27, 2018 · Since you want multi-index column dataframe using the tuples, so we are cleaning these strings first by taking the substring which is necessary using re. ' then passing this value through ast. product(['one', 'two'], ['a', 'c'])] new_index = pd. (particularly because the number of tuples in my dataset numbers in the thousands)? Thanks! Jul 17, 2014 · Thanks, that does work if I know what the label is, but what do I do if I don't? ie. Level of sortedness (must be lexicographically sorted by that level). from_tuples(tuples, names=['first', 'second']) df = pd. This is useful if you already have a DataFrame with your desired hierarchical levels . e. DataFrame(np. get_level_values(0) All other levels of the MultiIndex would disappear here. pandas. Jan 7, 2019 · For MultiIndex are not implemented many functions, you can check this. Dec 26, 2018 · Yes, the default parser is 'pandas', but it is important to highlight this syntax isn't conventionally python. from_product()), or a DataFrame (using MultiIndex. The format function is pretty mighty and has a lot of functionality (see the docs ). random. from_tuples([(np. values tuples_index = [tuple(i) for i in list_index] # hashable df = df. Syntax: MultiIndex. loc[]. In this example, the method happens to be the python built-in str. From panda's own documentation: MultiIndex. Advent Calendar登録してみたものの、最近Pythonそんな書いていない&書いてても業務上特殊なことをやり過ぎてて書けないので、ちょっと今更感はありますがpandasの小ネタです。 For those that come here to replace the value of the DataFrame, not the index: # data import pandas as pd index = pd. I want to convert it to is something like t May 9, 2014 · So let's say I have DatetimeIndex:ed data like this (there would be several days of course): X Y Z timestamp 2013-01-02 10:00:13. 776677 -0. For example (using . _getitem_frame(key) # tuples are handled here when self has a MultiIndex elif is_mi_columns: return self. abc x t1. Mar 1, 1994 · I have multi-index df as follows x y id date abc 3/1/1994 100 7 9/1/1994 90 8 3/1/1995 80 9 Where dates are stored as str. A new MultiIndex is typically constructed using one of the helper methods MultiIndex. I %timeit and it is true. columns for r in df. Apr 23, 2016 · Though it's not easy to follow the documentation (explanations buried into an "advanced indexing" section), keep in mind multilevel indexing is based on tuple indices, hence accessing data requires loc and tuples, even if there are ambiguous shortcuts not using loc and even not using tuples. The following are 30 code examples of pandas. index] idx = pd. One would expect multiindex to provide a performance boost over naive column storage, but as of Pandas v 1. Jan 24, 2019 · How do I set columns 0 and 1 as one tuple index: "Tuple index" as a concept does not exist in Pandas. from_arrays()), an array of tuples (using MultiIndex. One of those functions is to refer to positional arguments by specifying their position. 0, the . I have a list of uids, and want to get the rows corresponding to the uids in that list, but keeping the 2nd level index values (tid). 6 and Pandas 19. Seriesのインデックスを階層的に構成できるマルチインデックス（階層型インデックス）を使うと、階層ごとに合計や平均などの統計量を算出できて便利。 関連記事: pandasのMultiindexで階層ごとの統計量・サンプル数を算出 Jul 15, 2014 · This would work (using from_tuples to make the pandas multiindex), but seems hacky to me :P. 0 1 2 1. I am playing around with multi indices for dataframes. from_tuples(zip(buckets, sequence)) ) # In [6]: s # Out[6]: # a 0 -1. Aug 25, 2018 · この記事はPython その2 Advent Calendar 2015の19日目の記事です. While a typical index refers to a single column, a MultiIndex contains multiple levels of indexes. reshape((4,8)), index = pd. The simplest thing is to convert your dictionary to the right format before trying to pass it to DataFrame: Python Pandas MultiIndex. from_arrays, MultiIndex. For example: import pandas as pd df = pd. Jan 4, 2016 · The answer depends on the pandas version you are working with. >>> df 0 1 2 3 first second bar one 0 1 2 3 two 4 5 6 7 baz one 8 9 10 11 two 12 You can think of MultiIndex as an array of tuples where each tuple is unique. I already found that empty DataFrames don't like to be assigned MultiIndexes on the fly, so I'm setting the Nov 9, 2024 · In data analysis and manipulation, pandas is a popular Python library that provides powerful tools for handling structured data. Jan 16, 2020 · @jezrael has done the art! import pandas as pd i = pd. 631858 -0. to_frame first:. i don't know when the events occurred. coulumns = [c. With a normal (1D/level) index, I would do something like df. It's a matter of iterating over the Series in the correct way. This method Feb 10, 2015 · Consider a multi-index dataframe df: A bar flux B one three six three x 0. 561309 1 0. _getitem_array(key) elif isinstance(key, DataFrame): return self. This is the primary method for converting a Multi-Index into columns. from_product). pivot(index="tuples_index", columns=columns, values=values Jan 17, 2019 · Yes I think since there appears to be no other way, the best thing is to collect all the parameter values in lists in the first place (checking each iteration that the parameters are the same and get appended to the right list) and then using the pd. Jul 30, 2018 · If your index level numbers will always have two elements, I suggest you actually split the level into two. 326364 # 1 0. ix[r,c] for c in df. I would like to sum (marginalize) over one level in a series with a 3-level multiindex to produce a series with a 2 level multiindex. index to the desired level of the MultiIndex. assign(tuples_index=tuples_index) df = df. Alternatively, you can set a MultiIndex when creating the DataFrame using the set_index method. reindex_axis(new_index, axis=1) It doesn't feel like a good solution, however, because I have to bust out itertools , build another MultiIndex by hand and then reindex (and my actual code is Jul 28, 2014 · Pandas wants the MultiIndex values as tuples, not nested dicts. literal_eval for converting string to tuple automatically. separate calls to __getitem__, so it has to treat them as linear operations, they happen one after another. get_level_values('first') or use the level's integer value: df. from_tuples() Python是一种进行数据分析的伟大语言，主要是因为以数据为中心的Python包的奇妙生态系统。Pandas就是这些包中的一个，它使导入和分析数据变得更加容易。 pandas. tups = [(letter,) + number for letter, number in df. Therefore, I added solution using from_iterable(df. from_arrays), an array of tuples (using MultiIndex. Sep 30, 2017 · I have a multi-index dataframe that looks like. For example, if you want to create a MultiIndex from the Cartesian product of lst1 and lst2, you can do so by calling from_product(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. sort_index: Apr 24, 2023 · MultiIndexの利点は、主に以下の2つです。 データの分類やグループ化が簡単にできる。 データの検索や抽出が高速にできる。 pandasでのMultiIndexデータの作成方法. from_tuples() function is used to convert list of tuples to MultiIndex. You are absolutely correct that multi-level indexing must be done with tuples (or at least certainly not with lists); this is because a list (or numpy array) is used to select data on the same 'level' (if you think of indexing with a tuple (multi-index) as going deeper, then a list goes 'wider'); for Dec 14, 2020 · I want to merge two dataframes, df1 and df2, which have multi-index columns : mi1 = pd. Parameters: tuples list / sequence of tuple-likes. Dec 24, 2018 · Pandas MultiIndex. Apr 28, 2017 · import itertools tuples = [i for i in itertools. 571749 -2. date_range('2016-01-01', per This is the simplest one that worked for me: for your selected level, create a list with columns in desired order; reindex your columns and create a MultiIndex object from that list, keep in mind this returns a tuple; Jun 29, 2020 · I could iterate through each tuple individually followed by a concatenate operation, but I was wondering if there is a more Pythonic / Pandas-ic(?) way to achieve what I want with intelligent slicing, etc. Without it, you are looking for a column named 'California', not an index label. Now think the best solution is probably with pd. melt that I just want to set value_vars to a list of tuples where in each tuple the first element is the first column level, the second is the second column level, and the third element is the third column level. For indices that represent a product of two sets of labels, you can use pd. index): as the iterator over table. For the example above, I managed to find this expression: after = {(r[0],r[1],c):df. Python Pandas - Advanced Reindexing with MultiIndex - In Pandas, MultiIndex or hierarchical indexing allows you to work with data structures that have multiple levels of indexing for rows and columns. repeat and np. from_tuples([('id', '0'), ('car', '2018')], names=['variable', 'year Jun 15, 2016 · Assign direct to columns with the result from pd. Finally, using the pd. swaplevel and DataFrame. Had a look at a few examples here and here. I want to parse date inde thanks to gmoutso comment you can use this:. Returns: index : MultiIndex. from_tuples(sum(couples, []), names=('first', 'second')) Since I'm not a pandas user I can't help much in the remaining tasks, even though they are probably easy. In other words: . This way, you are dealing with the arrays, instead of building a DataFrame only to return to an Index. DataFrame(data={'i1':[0,0,0,0,1,1,1,1], 'i2':[0,1,2,3 Mar 21, 2024 · Output: GroupBy in Python Pandas . itertuples(), table. python; pandas; scipy; Share. Indeed, Pandas facilitates this with set_index: All of the current answers on this thread must have been a bit dated. from_tuples (tuples, sortorder=None, names=None) tuples : Each tuple is the index of one row/column. to_frame(). Similarly I cannot use something like: for data_row, index_row: itertools. zip_longest(table. 900439 # 2 -0. loc[] e. index gives again plain tuples, not named tuples. Jun 21, 2017 · So initially thought there might be some setting in Jupyter which will make each tuple element go onto a second line. csv", index_col=0) # or from another source and a function mapping each index to a tuple (below, it is for the example from this question) Following the documentation code on multi-indexing, I do the following: arrays = [['bar', 'bar', 'baz', 'baz', 'foo', 'foo'], ['one', 'two', 'one', 'two', 'one', 'two Is there a way to do this in a generalizable way? I'm basically looking for a way to tell pd. loc is the quicker method in this case, because your data is already in the correct form. repeat(['a','b','c'], [3,5,1]) sequence = [0,1,5,0,1,2,4,50,0] s = pd. from_product() and MultiIndex. After grouping the columns according to our choice, we can perform various operations which can eventually help us in the analysis of the data. concatenate vs. from_frame() Method. Unlock the potential of pandas. bcd y t2. Like this: Nov 5, 2012 · The alternative to using a multiindex is to store your data using multiple columns of a dataframe. Dec 15, 2014 · Given a Pandas MultiIndex instance my_index, I need to detect whether its list-of-tuples representation (i. names) df = df. In any case, if you ask about recommendations here, the one I see is that you should try to not build simple indexes made of tuples: pandas will work better and will be more powerful to use if you actually build a multiindex instead: A MultiIndex in Pandas is a hierarchical indexing structure that allows us to represent and work with higher-dimensional data efficiently. read_csv("input. 17. The csv file has one column that contains the multiindexes in tuples, like: ('a', 'x') ('a', 'y') ('a', 'z') ('b', 'x') ('b', 'y') ('b', 'z') However, I want to be able to output the Multiindex to two columns instead of one column of tuples, such as: a, x , y , z b, x , y , z You can think of MultiIndex as an array of tuples where each tuple is unique. arange(32). [('S', 'S', 'S', 'S', 'S', 'S', 'S, 'S'), ] Something I would expect df. One of the key features of pandas is the ability to work with MultiIndex, which allows for hierarchical indexing of data frames. index. nan,1),(1,1),(1,2)]) print (idx. from_product methods. def multiindex_pivot(df, index=None, columns=None, values=None): if index is None: names = list(df. Mar 11, 2021 · You want . levels and df. from_product ( iterables , sortorder=None , names=<no_default> ) [source] # Make a MultiIndex from the cartesian product of multiple iterables. But I cannot do it using DataFrame. from_tuples as: Mar 27, 2017 · . 259763 3 1. MultiIndex for complex data manipulation in Python. 491336 -1. pandas. My solution so far is to converting the multiindex into columns by repeatedly stacking the DataFrame. d = {(x,y):my_home_city[x][y] for x in my_home_city for y in my_home_city[x]} df. 0), you can indeed use the level keyword to specify to sort which level of the multi-index: df = df. Each tuple is the index of one row/column. 876353 0. When dealing with these type of structured datasets, advanced reindexing with MultiIndex becomes essential for reshaping and aligning data across differe Jan 12, 2018 · The multiindex seems to be the fastest, followed by the zip, but being not much slower I’d consider using the set_index method for the sake of readability, unless speed is a critical issue. Following the instructions in the d Sep 9, 2022 · I would like to replace pandas multi index columns with uppercase names. to_flat_index() Convert a MultiIndex to an Index of Tuples containing the level values. Multi index is a list of tuple, we just need to modify your dict,then we could directly assign the value. set_index(idx) df_. reset_index() else: names = index list_index = df[names]. Simply getting the data as an array and passing it to matplotlib doesn't work. The Index constructor will attempt to return a MultiIndex when it is Apr 19, 2017 · I have this data frame: index 0 idxaa1cx1 some_text idxbb2cx2 some_text idxcc3cx3 some_text I want to split the index into a multi index like so: idx_1 idx_2 0 Sep 15, 2012 · To create a MultiIndex I belive you've to use the from_tuples method: MultiIndex. Follow 4 days ago · Pandas の MultiIndex は、データフレームの行や列に階層的なインデックスを付ける機能です。これにより、より複雑なデータ構造を表現し、柔軟なデータ操作が可能になります。MultiIndex の作成MultiIndex は複数のインデックスレベルを持つことができます。 Oct 28, 2017 · Edit based on comments: For this situation, an index of explicit tuples is required. How can I achieve MultiIndex columns instead? By the way, I can do the reverse. Series( np. findall with regex pattern = '(\(. 4, that appears not to be the case. Mar 27, 2024 · You can create a MultiIndex using the MultiIndex. 0. This method is easy to implement and well suited for handling multiple index values for a single row of data. MultiIndex. from_iterable(df. Note that the length of May 11, 2017 · Suppose I have a MultiIndex DataFrame similar to an example from the MultiIndex docs. 627915 0. The Pandas parser generates a slightly different parse tree from the expression. tile, before building a new MultiIndex. 233624 -0. Some of those files have errors in the various labels, ie. Because pandas sees these operations as separate events (e. – To set a brand new MultiIndex, you can use pd. read_csv Jul 17, 2013 · The dict keys should be tuples consisting of the index row + column title, while the dict values should be the individual DataFrame values. Apr 11, 2019 · Now, my question is: How can I create a barplot from this multiindex ? The solution should group the bars correctly, as does the hue argument of seaborn. upper() for c in df. In this blog post, we will be discussing how to create a MultiIndex dataframe using MultiIndex from_tuples and from_product function in Pandas. The data is saved in the csv file as follows: import pandas as pd import numpy as np dfcsv = pd. 0), this level keyword is not yet available, but you can use the sortlevel method: To sort a MultiIndex by the "index columns" (aka. – Skippy le Grand Gourou Jun 3, 2018 · I have a MultiIndex csv file which I would like to read in. randn(len(sequence)), index=pd. "window" is missspelled as "winZZw", which then causes Oct 7, 2022 · MultiIndex is a powerful tool that enables us to work with higher dimensional data, but it can be tricky to create MultiIndex Dataframes using the from_tuples and from_product function in Pandas. As of pandas version 0. May 25, 2018 · pandas. You need convert MultiIndex to DataFrame by MultiIndex. columns] When this is done Apr 8, 2014 · Then another python operation df_with_L['Five'] selects the series index by 'Five' happens. One way could be to simply rebind df. from_arrays ): >>> arrays = [[ 1 , 1 , 2 , 2 ], [ 'red' , 'blue' , 'red' , 'blue' ]] >>> pd . This enables users to organize and analyze complex datasets more efficiently. You can do this by specifying the label name you want to keep: df. Using MultiIndex, you ca The behavior can be also different depending on the index being a simple index or a multiindex. Pandas multiindex subset selection. 436059 2 0. from_tuples(tups, names=['letters', 'numbers_0', 'numbers_1']) df_ = df. MultiIndex object. You can have an object dtype index containing tuples, but this isn't recommended. Mar 3, 2016 · I have a pandas dataframe with the following strcuture: import numpy as np import pandas as pd df = pd. from_tuples(tuples) print(new_index) data. A common task involves converting this MultiIndex into a standard index where each entry is a tuple composed of the level values from the MultiIndex. from_tuples, or MultiIndex. from_tuples passing in your existing columns:. set_index, subtract by DataFrame. t_l). By the way, you had a typo in your input where you were duplicating an index entry. 455014 -0. keys(). Pandas developer Jeff Reback explains: list-of-tuples is the specified type, tuple-of-tuple is not allowed as I think it can signify nested types that would require more parsing. I indicated this by another variable. Depending on what you use to build the index, there are convenient methods, from_arrays(), from_tuples(), from_product(). from_tuples), or a crossed set of iterables (using MultiIndex. A groupby operation in Pandas helps us to split the object by applying a function and there-after combine the results. Mar 4, 2024 · The ‘Data’ values are aligned according to the hierarchical structure specified by the tuples. loc method to select from a MultiIndex?I have the following DataFrame and would like to be able to access the values located in the Dwell columns, at the indices of ('at', 1), ('at', 3), ('at', 5), and so on (non-sequential). from_tuples() but am having a lot of trouble working out how to use it. 0 2 print (idx. 073057 -0. rename() does not do what one expects, because even though the key for every column is a tuple, the implementation in pandas is by two lists: df. 337810 0. import pandas as pd; import random arrays = [['bar', 'bar', 'baz', 'baz Jan 19, 2019 · I'd like to efficiently create a pandas DataFrame from a Python collections. If you want to sort by multiple levels, the argument needs to be set to a list of level names in sequential order. #W-B sample idx=pd. 2025-01-05 "Turning a Pandas Multi-Index into a column" essentially means transforming this hierarchical indexing structure into regular columns within your DataFrame. from_tuples# classmethod MultiIndex. 665214 # 5 0. t_l) Jan 28, 2016 · I have a series with a MultiIndex like this: import numpy as np import pandas as pd buckets = np. from_arrays(), MultiIndex. rename(columns={('d', 'f'): ('e', 'g')}), even though it seems correct. Mar 14, 2016 · I think you can use loc with tuple for selecting MultiIndex and 0 for selecting column:. isnull()) 0 1 NaN 1 True False 1 1 False False 2 False False I'm trying to rename a single row of a pandas dataframe by it's tuple. 295000 366 Nov 6, 2018 · I have Python 3. Master hierarchical indexing to enhance your data analysis, streamline operations, and efficiently manage multi-dimensional datasets with ease. 690787 1. Counter dictionary . This is done to make some operations more intuitive to specify. 1. sort_index() method and set its level argument. Well pandas is kind enough to warn if you need to do it: KeyError: 'MultiIndex Slicing requires the index to be fully lexsorted tuple len (3), lexsort depth (1)' You can read more on how to use slicers in the docs DataFrame. In [186]: l=[('A', 'a'), ('A', 'b'), ('B','a'), ('B','b')] df = pd. Ask Question Asked 6 years, 1 month How to apply pandas groupby in Python on multiple columns and aggregate columns in list of tuples? Hot Network Questions Avoiding EU import duty when mailing snowboard from UK then bringing it back on return flight? Mar 27, 2021 · In order to do this, I try to convert this data structure first into a DataFrame with MultiIndex columns. The Index constructor May 7, 2013 · Once we have a DataFrame. 082270 # 50 -0. 24. labels. __getitem__ uses type checking to produce this behavior: # lists are handled here -----vvvv if isinstance(key, (Series, np. Dec 22, 2015 · One way to set any combination of dtypes for any number of index levels, in a name-based way, is the following # define your desired target index schema as a dict (name, and dtype), allowing any number of columns and dtypes my_index_schema: Dict[str, str] = {'country': 'str', 'indep_day': 'datetime64[ns]', 'population': 'int'} # get the MultiIndex of the current df, make it a frame, and set Python Pandas - Basics of MultiIndex - MultiIndex is also called Hierarchical Indexing, it is a powerful feature in pandas that allows you to work with higher-dimensional data in lower-dimensional structures like Series (1D) and DataFrame (2D). 653940 # 4 0. . from_frame(). 553742 1. from_tuples (tuples, sortorder = None, names = None) [source] # Convert list of tuples to MultiIndex. Method 3: Using the MultiIndex. 788232 1. but there's an additional requirement. to_frame()) 0 1 NaN 1 NaN 1 1 1 1. I don't know the names of the index (in my problem, they (A in your example) are minutes in which at least one event occurred, and the sub index (B in your example) contains the seconds at which specific events occurred). from_arrays at the end. Jun 6, 2014 · Ask questions, find answers and collaborate at work with Stack Overflow for Teams. 507184 0. *?\)). sort_index(level=0) But, if you have an older pandas (< 0. from_frame()). Copy paste this in your code to generate example Another thing you can't do is df. from_records(a) method because it returns a single index column with tuples as the names. sortorder int or None. 106047 # 1 1. For example, if I have the following: ind = [tuple(x) for x in Understanding how to access multi-indexed pandas DataFrame can help you with all kinds of task like that. Transform your analytics capabilities with advanced indexing techniques today! Aug 28, 2022 · MultiindexのDataFrame, Seriesはデータの階層構造が視覚的にも把握しやすく、データの集計・分析が効率的に行えます。一方で、Multiindexでは次のような問題に直面することも…①普段使わないからMultiindexの中身がよくわからない②どうやっMultiindexを設定・解除するの？③インデックスを変更 Dec 23, 2018 · I have a dataframe that seems like a simple use case for a multi index: I have ISO week numbers and dates as an index, and I'd like to filter by a specific week. _getitem Jul 11, 2018 · I have a dataframe with a large multiindex, sourced from a vast number of csv files. A simple example from its documentation: Mar 26, 2015 · Note that you might need to sort MultiIndex before you can slice it. Oct 7, 2022 · Creating a MultiIndex using from_tuples or from_product method in Pandas is a helpful way to store data more efficiently. Improve this question. ndarray, Index, list)): # either boolean or fancy integer index return self. chain. A MultiIndex can be created from a list of arrays (using MultiIndex. from_tuples()), a crossed set of iterables (using MultiIndex. concat(all_teams, keys=flat_list, axis=0) I attached a picture of the output. 279190 # b 0 0. I have a multiple indexed pandas data frame where I want to separate values by '||' character and include one more layer of index with three new columns 'Connection', 'Val1' 'Val2'. sub and join together by concat, last for change MultiIndex is used DataFrame. levels) you need to use the . Mar 28, 2018 · python pandas: change a column index into a multiindex based on a dicctionary of tuples Hot Network Questions Is it still possible to buy from the Premium shop when our Premium Pass ran out? Jun 27, 2013 · I am using to_csv to write a Multiindex DataFrame to csv files. g. index = df. from_product. from_tuples([('x1', 'Total'), ('x2 Jul 16, 2019 · Edit: @ALollz makes a good point about speed of np. tolist()) contains any duplicate tuples. from_product# classmethod MultiIndex. uid and tid are the indexes. index} Does anyone know if it is possible to use the DataFrame. from_tuples([(0, 'zero'), (0, 'one'), (0, 'two'), (1, 'zero'), (1, 'one')], names=['level_0', 'level Sep 15, 2017 · To implement named_index_iterator I cannot use itertuples or iterrows in DataFrame as that gives plain tuples, not named tuples, for the index. to_flat_index() does what you need. randn(8, 4), index=index) print(df) Using a Product. ozyb ifov gsub agfujt eoj mgqead ljvudtoe esor ifrufsp mgwmbat