Transpose pivot table python

Transpose pivot table python. With the following data as a sample: I would expect the result to look like this. Just to mention my dataset is huge (40 Million records. python. You can use Counter to get the most common elements. transpose groupby values to columns in Python Pandas. Feb 4, 2017 · The problem arises because you have more colons in the date. I assume that 'Name' is alwa Mar 22, 2018 · pd. agg(list) # Insert these values into a new data frame. index // 2). izip_longest() in Python 2; itertools. Nov 7, 2017 · 2 crosstab() calls pivot_table(), i. Jun 25, 2023 · 1. Dec 4, 2021 · I need to pivot or transpose it, keeping the Country Code, the years, and the indicators names as columns, like this: python; pandas; pivot-table; transpose; Reshaping and pivot tables. 566261 chinese 4 b 0. pivot_table(index=['C2','C3'], aggfunc='count'), which gives me the count of the occurances, as is correct (Shown Below). 247 0. How to un-pivot data in a table on Excel for Mac. 0, 3. Python - transpose a Pandas DataFrame. 666666667 1. agg([np. if you need to subtract values no matter of index and columns use: delta = df_pivoted. With Pandas, we can do so with a single line: 1. Here is an article on reshaping in Mar 24, 2023 · Both pivot_table and groupby are used to aggregate your dataframe. Jan 15, 2023 · You can do it multiple ways. Aug 17, 2022 · 1. set_index([df. 102 0. Using pd. on ‎03-02-2023 09:37 AM - edited on ‎02-21-2024 12:12 PM by DRay. Pandas DataFrame transpose () method transposes the index and columns of the DataFrame. Pandas makes transposing tables beautifully simple! Below are a couple examples using the example SQL output below: This first Python snippet allows you to define your own column headers: # SQL output is imported as a pandas dataframe variable called "df". The transpose() method in pandas is used to interchange the rows and columns of a DataFrame, effectively reshaping it. time] Just adding slight variation for if the index is already a datetime. Pivot () It is an aggregation where one of the grouping columns values is transposed into individual columns with distinct data. transpose #. x = df. pivot_table(df,index=['CustId'],values=['Page'],aggfunc='first') But this obviously returns only the first value. Use zip() a few times, counting on the fact that both dict. 0. stack () turns our single-level column df into a dataseries with a multi-index index by fitting the columns into a new inner index (index level 1) for each value in the old outer index (index level 0). Nov 24, 2019 · I have tried using the pivot functions df. Indicator Country Year Value 1 Angola 2005 6 2 Angola 2005 13 3 Angola 2005 10 4 Angola 2005 11 5 Angola 2005 5 1 Angola 2006 3 2 Angola 2006 2 3 Angola 2006 7 4 Angola 2006 3 5 Angola 2006 6 Nov 11, 2020 · The method to transpose a dataframe is, easily enough, transpose. kdf = df. First, we rename the columns with . I feel like I should be able to plot the data frame directly, but the only way I have had success is by doing the following: for round, disp in player_stat. my data is currently organized as: name color profile height k2000 red c 5. 2520 May 1, 2023 · Python pivot table by Will Keefe. Pivot and transpose are both ways to rotate tables, but they do it in different ways. Here Is The Data Table Settings. pivot_table(df,index=['A', 'B', 'E'], columns='C',values='D'). ). Use Power Query to make the transposition. This method allows you to rotate the DataFrame The pivot_table() function presents a versatile option for summarizing and aggregating data while transposing, often used for creating informative pivot tables. Jul 29, 2018 · Here are the steps: Open your table in the Power Query editor. DataFrame({'start_year':[2000, 2001, 2002], 'end_year':[2010, 2011, 2012], 'price':[1. Parameters: *argstuple, optional. This summary in pivot tables may include mean, median, sum, or other statistical terms. Apr 17, 2020 · Next, we are going to get 'month' into the index. groupby('date')['quantity']. R1, R2 etc and on the y-axis the row data. 0 2013 1 1 20 Oct 15, 2019 · 1. This info can be pivoted to get the desired result. I'll edit the answer Apr 18, 2022 · How can I "pivot"/"transpose" the data so that each row represents a role with one column containing the sum of minutes for each type of work? In effect, I would like to transpose the data similar to the Pandas DataFrame. A 12 23 33. transpose() TransposeDF = Transpose_kdf. pivot_table (data, values=None, index=None, columns=None, aggfunc=’mean’, fill_value=None, margins=False, dropna=True, margins_name=’All’) create a spreadsheet-style pivot table as a DataFrame. 527525232 2 3 4 4. You can use groupby + unstack, if aggregations is required. sum) a table is created where a is on the row axis, b is on the column axis, and the values are the sum of c. An easy-to-use analogy — In short, the pivot table syntax says that for every ‘index’, return the ‘aggfunc’ of the ‘values’ column(s), segregated (further grouped) by ‘columns’. pivot(index='Email', columns='Name', values='Paid at') and I can get a dataframe for which every timestamp is a column and the index in the email, but I am stuck in understanding how I can create the columns I want. In the Transpose Table Dimensions dialog, check Cross table to list under Transpose type section, then select the cell you want to put the new table. Apr 2, 2014 · An old question; this is an addition to the already excellent answers. # the transform takes the column, and makes it an index column. 3 days ago · Pivot tables were originally implemented in early spreadsheet packages and are still a commonly used feature of the latest ones. To do this, assume that we have. 8 k2010 black b 5. max(), etc. Reflect the DataFrame over its main diagonal by writing rows as columns and vice-versa. DataFrame. columns = cols. And, at the end, we transpose (. 0 NaN 4. pivot_table(index=['geography','variable'],columns='variable_type') That gives me something where geography and variable look to be indices, and the columns appear to be the different variables but they seem to have a parent level of "value" and name of "variable_type". If duplicates use pivot_table with aggregate function like mean, sum python; pandas; Transpose columns in python/pandas. pivot_table(df,index="CNTRY",columns="TYPE", values='VALUE'). when we do Pivot the city column , The rows of city column transform Feb 8, 2020 · I have a table like this. category comedy drama other. df= a b ent 0 1 3 A 1 2 4 B. ANY [ORDER BY] Pivot on all distinct values of the pivot column. The difference is only with regard to the shape of the result. 0. Dec 28, 2020 · @cOde_monkey read_sql Reads SQL query or database table into a df. **TABLE 3** C1 C2 CT1 ANOTHER_TEXT1 TEXT1 2 TEXT2 3 ANOTHER_TEXT2 TEXT3 2 So, how do i get it in the structure i want (Table 2)? Is it at all possible? Sep 25, 2019 · Groupby, transpose, or even pivot_table with pandas. 9 k2011 red b 9. pivot_table your rows with columns & columns with rows then try the transpose method of values to multiple rows for a csv in python. 0 NaN May 11, 2022 · I am trying to convert a SAS proc transpose statement to pyspark in databricks. The DataFrame is now in a wide format. reset_index()) C A B E 00:00 00:30 0 203704 WkDay 2015 0. Select the base data, and click Kutools > Range > Transpose Table Dimensions. pivot(index='Item', columns='CType', values='USD') May 13, 2024 · A pivot table is a statistical table that summarizes a substantial table like a big dataset. pivot_table(index='key', columns='col', aggfunc=np. # Get values of 'quantity' for each date. Mar 27, 2018 · I've had a go at doing this and the closest i could get to was: df2=pd. Thanks to @jena's answer, where map() is changing the inner tuples to lists. first() print(df_) name Serial Number Station Name 0 103 DC 1 114 CA 2 147 FL Apr 12, 2017 · 2. 11 k2001 black b 5. Add the transformations: Jan 12, 2018 · I have a DataFrame (e. Transpose index and columns. pivot): . Here it is turning iterators into lists. columns = [f'{a}_{b+1}' for a, b in Feb 9, 2023 · The pivot_table function returns a DataFrame with the summarized data using the parameters passed to it. sort_index(level=1, axis=1) #python 3. 0 FRN NaN 2. Say, we have a table like this. This give me this: Then, I create a pivot table that I am transposing. Insert > Transformation. , crosstab = pivot_table. 12 mins read. Apr 10, 2017 · I am trying df. time]). DataFrame. groupby('ID'). 'HOUR1') to become values -- a swap of sorts. This is returned as tuple of pairs of the item and the number of occurrences, so use list comprehension to select just the items (i. Jan 1, 2018 · Here's a groupby solution, although it's highly impractical when compared to the pivot method. pivot_wider(index = ['Salesman', 'Height'], names_from = 'idx') Salesman Height product_1 product_2 product_3 price_1 price_2 price_3. pivot(df, index='team', columns='player', values='points') df. I tried (1st idea): pushTrasnpose = combined_sf2[['PNO','store','Push']]. It reflects the DataFrame over its main diagonal by writing rows as 23. Sep 15, 2020 · Now I want to transpose them using Python so that they look something like this: There are some rows with no data, and they will remain blank. . Change the column name for column 1 with Edit > Column properties. Feb 5, 2015 · I would like to transpose the table so that the values in the indicator column are the new columns. In the list of functions, select Transpose, and give the entire range from the source sheet that you wish to transpose; Click OK - your data range Feb 7, 2019 · Use cumcount for counter, create MultiIndex by set_index, reshape by unstack and sort first level of MultiIndex in columns by sort_index. If your column names are consistent - as in it is always delimited by hyphens and the cases/spellings are same, we can unpivot the columns to rows and extract info from the column names. They can also be found in modern database applications and in programming languages. It is unfortunate that SAS has used a term with a well-established meaning to mean something quite different. pivot_table(df, index=["a"], columns=["b"], values=["c"], aggfunc=np. This package is a wrapper for the Django ORM. to_spark() Koalas documentation - Databricks This video provides a step by step walk through on how to pivot one or more columns to rows using the pandas libraries available in Python. select data -> from table/range. other = ['Name','Date Added','Column 3','Column 4'] #contain column 1 and c1 value. reset_index(drop=True, inplace=True) and (2nd idea): pd. Edit: jezrael is totally correct. cumcount() df = df. Add the Unpivot with the settings below and hit ok. no 1. make the data into a table. from itertools import groupby, combinations_with_replacement. pivot_table() method. max: df = (df. reset_index() The final result: uid count. 6 k2007 blue a 5. Example: pandas. pivot (), and df. 5 2 2. 0]}) # end_year price start_year # 0 2010 1. 572405 chinese 5 c May 21, 2021 · However, note that the resulting table still has uid as its index. T and sum up the data as follows: rows: each representing one variable (var1 to var3) columns 1 - 5 : representing values of these variables, each cell showing the total number of appearances of this value across all datasets (var1. I tried using the pandas pivot_table () function with the following code however I ran into some performance issues with the size of the data: I'm Trying to use Pivot_table on Dask with the following dataframe: date store_nbr item_nbr unit_sales year month 0 2013-01-01 25 103665 7. stack() So now I have 3 columns of index values. i[0] is the item). Feb 20, 2019 · Stack Overflow Public questions & answers; Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Talent Build your employer brand Dec 29, 2014 · Pandas provides a similar function called (appropriately enough) pivot_table . Something as below -. 2 k2002 blue a 9. I have tried transpose() and would like to maintain using the describe() and manipulate that instead of a . is . Transpose rows to columns in SQLite. However, what you are asking about is not transposition, it's reshaping/pivoting. If the pivot column contains NULLs, then NULL is also treated as a pivot Apr 11, 2016 · Transpose multiple rows of data in panda df. Jenn, thanks so much. We may like to reshape/pivot the table so that all USD prices for an item are on the row to compare more easily. transpose() pushTrasnpose. INPUT. values. ID] But Aug 18, 2020 · I want to transpose the df using . values - df_trans. You can also use the property T, which is the accessor to the method transpose (). zip_longest() in Python 3; The default fillvalue is None. read_csv read_csv documentation and then transposing the dataframe using the function pandas. If that's not what you want, you can revert the resulting columns back to a normal one: result = df. pivot_table(columns="header",values="values",aggfunc="max") [out]: header age bank_id country height weight values 3 A123 Japan 6 ft 30 kg Jun 28, 2016 · Given this dataframe: feature score searchTerm 0 a 0. 2 k2006 white d 5. Set the index to be a multi-index of date and then time followed by an unstack. pivot_table(columns=['category'], index='uid', fill_value=0). 6 k2012 red c 7. In the pivot field pane, drag Values from the Columns box to the Rows box, and drag Divisions from the Rows box to the Columns box. values())] The zip(*d. Apr 3, 2022 · If your Serial Number is just before Station Name, you can pivot on name columns then combine the every two rows: df_ = df. and I want to convert it into a a 2D matrix that gets output to a csv so that it looks like: A B C. 0 NaN. While it is exceedingly useful, I frequently find myself struggling to remember how to use the syntax to format the output for my needs. 9 Nov 8, 2022 · Excel - how to use pivot table to transpose glossary. Jun 13, 2017 · You can add parameter values: df = pd. 1. Use "\s+:\s+" as the separator. You can use . Jun 23, 2021 · I'm busy busy with a project where I am trying to transpose/pivot data to change the structure of the data to make it more readable. pandas provides methods for manipulating a Series and DataFrame to alter the representation of the data for further data processing or data summarization. The property T is an accessor to the method transpose(). The output of the displayed pivot_table function with. col_names = ['A','B','C'] Mar 14, 2022 · In addition to the above, you can also use Koalas (available in databricks) and is similar to Pandas except makes more sense for distributed processing and available in Pyspark (from 3. In [329]: pd. What we wanna do is to find all users over each listed_days_bin value. pivot(columns='name', values='component'). However, when I transpose this, I lose the order. 5 k2012 black c 8. Jul 22, 2016 · You can add multiple columns to list as argument of parameter index:. Pandas groupby transpose. Oct 30, 2018 · You can try importing the original data as a dataframe using pandas library with the function pandas. id, df. With stubnames [‘A’, ‘B’], this function expects to find one or more group of columns with format A-suffix1, A-suffix2,…, B-suffix1, B-suffix2,…. max) . 'GERMANY') to become column names, and column names (e. While pivot() provides general purpose pivoting with various data types, pandas also provides pivot_table() or pivot_table() for pivoting with aggregation of numeric data. 12 k2001 blue b 5. 586020 pizza 2 c 0. pivot and assign index='User ID', columns='Week', values=['clicks', "days"] no 2. 3. It really works. groupby method is used to group the data by columns, and the unstack is used to pivot the data. May 5, 2020 · assumption here is that the tables have the same exact columns, so u can morph this into a function and apply to each one : also, the speed is about half of ur solution with the pivot table. Note that 'Value' is the name of the column in the dataframe that you want transposed: df. T () but it didn't work out for me since they transformed all the columns Anyone knows how to fix this (using something else than pd Dataframe is also fine, I have my data in a csv Apr 24, 2018 · I KNOW this is easy to do with groupby &/or pivot_table &/or stack - I just can't seem to get it off base one. Then df. 7 k2012 blue c 9. T. pivot_table function, but using only SQL. set_index(['ID', g]). Select the Transform tab: Select Pivot Column, you may have to hover to find it. pivot('start_year', 'end_year', 'price') # end_year 2010 2011 2012 # start_year # 2000 1. pivot_value_N. groupby(df. And for remove columns name rename_axis: My terminology is horrible so this one deserves some explanation. 0 onwards). Advertisements. 5. Based on the following dataframe, I am trying to create a grouping by month, type and text, I think I am close to what I want, however I am unable to group by month the way I want, so I have to use the column transdate. ): count mean std min 25% 50% 75% max A 3 2 1 1 1. wide_to_long. reset_index() print (df) TYPE CNTRY Advisory Advisory1 Advisory2 Advisory3. This is the primary data structure of the Pandas. On the Formulas ribbon, select Insert Function and then specify All Functions in the dialog box. For transposing the data, you can use the transpose () pandas data frame object method. 280 0. read_sql(query, con) SGY. apply, or even brute-force iteration, but you can probably guess that the tricky part is that these row values aren't strictly sequential, so this isn't a simple transpose operation (nobody won any medals in 2014, for e. Click Ok to create a new table, and then insert headers above the new table. #. but if we change df to. Python, Pandas: changing form of dataframe, one-to Mar 10, 2022 · What are pivot tables? How do they work? And how can you create them using Pandas? In this video, I explain why they're such useful tools in data analytics, 1. I usually leverage an Excel function to do it, but I believe that there is a smart Python way to do it. 0, 2. But I don't know if it will be possible to the result using something like select * from pivot_function('schema_name', 'table_name', 'table_id_column_name'); – Apr 2, 2024 · PySpark. sort_index(axis=1)) Alternative is aggregate by GroupBy. mean(), np. 7 k2009 white d 8. We used ‘team’ as the index column, ‘player’ as the columns, and ‘points’ as the values inside of the DataFrame. 6 k2012 white c 7. [df. It is part of data processing. 534509 pizza 1 b 0. 10 k2001 white b 7. I would only recommend this as an exercise to become familiar with pandas' indices. Last flatten it by list comprehension with reset_index: g = df. May 15, 2018 · The end output I would like to get is a scatter plot that plots on the x-axis the column headers e. Oct 26, 2014 · 12 23 33 43 19 98 44 77 35. Add the Pivot with the settings below. Pivot tables are originally associated with MS Excel but we can create a pivot table in Pandas using Python using the Pandas Dataframe piv I am looking in Python/Pandas for a tip that reverses a 2-dimension table into 1 dimensional list. See screenshot: 4. 1 IND 1. Dec 13, 2018 · Use pivot_table with swaplevel and sort_index with aggregate function np. 0907 3 203704 Wkend 2016 0. 3 k2002 red a 8. Oct 19, 2019 at 2:24. TypeError: pivot_table() got multiple values for argument 'values' – Don Smythe. April 2, 2024. ) The following code works for me to convert your file into the table you want. Value. value_counts) Dec 11, 2018 · Method 1: df →stack →reset_index →pivot →df. Now when you subtract on df from another Pandas use columns and Indices and fill NaN in the rest. I was trying with the code: data. # the index later to get rid if it all together) df['name'] = df. Timestamp. pandas. 0 NaN 3. On your destination sheet, select an empty range with the correct number of columns and rows. stack() and unstack(): Pivot a column or row level to the opposite axis 5. 11. C 77 35 44. g. select the Subj and Course columns. # now to rebuild the columns and move the new "name" column to the first col. This article will focus on explaining the pandas pivot_table function and how to use it for your data analysis. It can be thought of as a dictionary-like container for the Series objects. 5 k2007 white a 8. Here, we create the dataframe. . transpose(*args, copy=False) [source] #. rename_axis('month', 1) Then we put it in the index with . crosstab. You specify what you want to call this suffix in the resulting long Jun 26, 2016 · To transpose Dataframe in pySpark, I use pivot over the temporary created column, which I drop at the end of the operation. Oct 24, 2023 · In general, to pivot means to turn or rotate around a central point. B 19 43 98. values()) call transposes the list values, and the zip(d, col) call pairs up each column with itertools. 5 5 Jul 1, 2015 · In such a table, it is not easy to see how the USD price varies over different customer types. rename_axis Stack Overflow Public questions & answers; Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Talent Build your employer brand Aug 17, 2018 · 1. 263 0. The function pivot_table() can be used to create spreadsheet-style pivot tables. print (pd. pivot_table(df, values=['a','b'], columns='ent') does exactly what you want. df. The transpose() function in Python allows for the transposition of a DataFrame by switching its rows and columns. 5 3 B 3 3. 9 9 30 1. sum of quarterly profits Possibly pandas. crosstab(df. Mar 2, 2023 · Options. to_koalas() Transpose_kdf = kdf. In this tutorial, you’ll learn how to implement a pivot table in Python using pandas’ DataFrame. Less flexible but more user-friendly than melt. 2670 2 203704 Wkend 2015 0. Only use django-pivot if you want aggregation on the values of the data you are pivoting (e. col1) Out[329]: col1 a b c d e id 10 1 1 0 1 0 20 0 1 0 0 0 30 1 0 1 0 0 40 0 0 0 0 1 May 2, 2023 · The final pivot table displays the total sales for each product, broken down by region. how to convert multiple columns and their headers into rows. # need to add it back into the data set (you might want to drop. A list of values for the pivot column to pivot into headings in the query results. PySpark pivot() function is used to rotate/transpose the data from one column into multiple Dataframe columns and back using unpivot (). But right now it's in the columns. transpose. ent A B a 1 2 b 3 4. Imagine that I have a DataFrame like this (which I call the "long" table): time stock price ----- Nov 2, 2021 · We can use the following syntax to reshape this DataFrame from a long format to a wide format: df = pd. #get various variables that will be reused. Oct 11, 2018 · SGY = pd. To pivot in Pandas, you can use pivot or pivot_table. e. The stack method turns column names into index values, and the unstack method turns index values into column names. When I reset_index, I'm going to have 3 columns pushed onto the front of the dataframe. , df_p) which has already converted into a pivot table: import pandas as pd df = pd. I'm a beginner to python and are trying to transpose the following table: Column1 Column2 x 3 y 4 I'm expecting the following output: x x x y y y y What is the best way to get this Sep 29, 2015 · However, I want the data in the format below. 9 T2 id signal 8 55 8 56 8 59 9 57 9 58 9 60 The goal is to get the new table T3: id x y You could use pd. 6+. 2. 0 2000 # 1 2011 2. melt(df,id_vars=['geography','variable_type']). index. When you need to Sep 28, 2018 · pandas. Sep 7, 2020 · pd. Unpivot a DataFrame from wide to long format. We want values (e. It's more limited than pivot_table() because it only allows a one-dimensional array-like as values, unlike pivot_table() that can have multiple columns Jan 24, 2022 · df = df. pivot() and pivot_table(): Group unique values within one or more discrete categories. – Jenn. p = d. 0 2002 df_p = df. iterrows(): player1_list=[] 1. You could write your own ORM queries and get the same results, but django-pivot makes it easier to read and come back to. Thanks to @Oregano's and @badp's comments. 0 2001 # 2 2012 3. well this is because in your database the column called roll_number, not rollno, you could rename it in the data frame, or while selecting, or use full name. My notes haven't quite worked for telling me how to do this. pivot_wider from pyjanitor may be helpful as an abstraction for reshaping from long to wide (it is a wrapper around pd. items() and iteration directly over a dict return elements in the same order as long as the dictionary is not mutated in between: [dict(zip(d, col)) for col in zip(*d. transpose transpose documentation Jun 13, 2016 · I have these two tables: T1 id x y 8 42 1. The source data looks like this If there are any aggregations to be performed, use pivot_table and include aggfunc= python grouping and transpose. select the table. max: May 25, 2016 · 2. unstack(). date, df. swaplevel(0,1,axis=1) . The result is imported into and displayed in Excel. Levels in the pivot table will be stored in MultiIndex objects (hierarchical indexes) on the index and columns of the result DataFrame Apr 19, 2017 · I've tinkered with df. melt (), df. , but I want the resulting table to show that in a column full of zeros). ‘transpose()’ method. You can do this with UnPivot and Pivot. 2320 1 203704 WkDay 2016 0. (Yes, it can be a regex. id author size file_ext ----- 1 a 13661 python 1 a 13513 cpp 1 a 1211 non-code 2 b 1019 python 2 b 6881 cpp 2 b 1525 python 2 b 1208 non-code 3 c 1039 python 3 c 1299 cpp Feb 1, 2017 · 6. dt. head() In Python, all of the functions you need for transposing and pivoting data exist in the pandas package. # input data - maintain consistency in column names. I thought I got close with the pivot_table from the pandas docs - but couldn't get it to do even one level - let alone 2. No 3 Another solution is using set_index + unstack. T) the resulting table, that is, we change the rows (axis=0) Sep 29, 2021 · The result expected is the yellow table which I will add in the same dataframe used to generate the ID,STORE,PUSH tables. Maybe is possible to create a python function to create some kind of dynamic query. I have data like this in a pandas DataFrame: And I would like to transform it to this (in a pandas DataFrame): I tried to use df. After transforming of you DataFrame (pivot table) you have new DataFrame where columns become Indices and vise versa. Specifically, it builds a DataFrame out of the passed arrays of values, filters it by the common indices and calls pivot_table(). pivot(df, index='ID', columns='STORE', values='PUSH'). In Python 3, pass the result through list() to get the same 2D list as method 2. In Power Query, “Pivot” is a transformation step that allows you to transform a table by rotating its columns into rows or rows into columns, and aggregating the data based on the values in those columns. Hot Network Questions Jan 31, 2024 · Arithmetic operations align on both row and column labels. As I'm not trying to aggregate anything. 588972 pizza 3 a 0. Sep 5, 2018 · Hum. Thanks in advance if you can help me it's much appreciated. To control the order of the pivot columns in the output, specify an ORDER BY clause after the ANY keyword. Using the transpose() function. df= a b ent 0 1 3 A 1 2 4 A Mar 29, 2022 · Pivot and Pivot-Table THIRD-PARTY PACKAGES django-pivot. loc[df. uj je ap dv ay hk pa xk hs hm