The first parameter gives the column name, and the second gives the new renamed name to be given on. Boolean columns: boolean values are treated in the given condition and exchange data. Example 1: Filter single condition PySpark rename column df.column_name.isNotNull() : This function is used to filter the rows that are not NULL/None in the dataframe column. Sorted by: 1 You could create a regex pattern that fits all your desired patterns: list_desired_patterns = ["ABC", "JFK"] regex_pattern = "|".join (list_desired_patterns) Then apply the rlike Column method: filtered_sdf = sdf.filter ( spark_fns.col ("String").rlike (regex_pattern) ) This will filter any match within the list of desired patterns. Necessary cookies are absolutely essential for the website to function properly. Chteau de Versailles | Site officiel most useful functions for PySpark DataFrame Filter PySpark DataFrame Columns with None Following is the syntax of split() function. We and our partners use cookies to Store and/or access information on a device. So what *is* the Latin word for chocolate? PySpark Filter is used to specify conditions and only the rows that satisfies those conditions are returned in the output. Python3 Filter PySpark DataFrame Columns with None or Null Values. The open-source game engine youve been waiting for: Godot (Ep. Can non-Muslims ride the Haramain high-speed train in Saudi Arabia? probabilities a list of quantile probabilities Each number must belong to [0, 1]. Howto select (almost) unique values in a specific order. 2. refreshKrb5Config flag is set with security context 1 Webdf1 Dataframe1. ). Method 1: Using filter() Method. if(typeof ez_ad_units != 'undefined'){ez_ad_units.push([[300,250],'sparkbyexamples_com-box-2','ezslot_3',132,'0','0'])};__ez_fad_position('div-gpt-ad-sparkbyexamples_com-box-2-0');Spark array_contains() is an SQL Array function that is used to check if an element value is present in an array type(ArrayType) column on DataFrame. It can take a condition and returns the dataframe. Subset or filter data with single condition in pyspark can be done using filter() function with conditions inside the filter function. PySpark Groupby on Multiple Columns. (Get The Great Big NLP Primer ebook), Published on February 27, 2023 by Abid Ali Awan, Containerization of PySpark Using Kubernetes, Top November Stories: Top Python Libraries for Data Science, Data, KDnuggets News 20:n44, Nov 18: How to Acquire the Most Wanted Data, KDnuggets News 22:n06, Feb 9: Data Science Programming Languages and, A Laymans Guide to Data Science. Examples explained here are also available at PySpark examples GitHub project for reference. Is Hahn-Banach equivalent to the ultrafilter lemma in ZF, Partner is not responding when their writing is needed in European project application. PySpark Split Column into multiple columns. If you are a programmer and just interested in Python code, check our Google Colab notebook. Currently I am doing the following (filtering using .contains): but I want generalize this so I can filter to one or more strings like below: where ideally, the .contains() portion is a pre-set parameter that contains 1+ substrings. Pyspark filter is used to create a Spark dataframe on multiple columns in PySpark creating with. Lets check this with ; on Columns (names) to join on.Must be found in both df1 and df2. PySpark Groupby on Multiple Columns. Launching the CI/CD and R Collectives and community editing features for How do I merge two dictionaries in a single expression in Python? Using explode, we will get a new row for each element in the array. ). Count SQL records based on . Duress at instant speed in response to Counterspell. PySpark 1241. pyspark Using when statement with multiple and conditions in python. The reason for this is using a pyspark UDF requires that the data get converted between the JVM and Python. Machine Learning Algorithms Explained in Less Than 1 Mi Top Posts February 20-26: 5 SQL Visualization Tools for Top 5 Advantages That CatBoost ML Brings to Your Data t Top 5 Advantages That CatBoost ML Brings to Your Data to Make KDnuggets Top Posts for January 2023: The ChatGPT Cheat Sheet, 5 SQL Visualization Tools for Data Engineers, Make Quantum Leaps in Your Data Science Journey, ChatGPT, GPT-4, and More Generative AI News, 5 Statistical Paradoxes Data Scientists Should Know. PySpark DataFrame has a join() operation which is used to combine fields from two or multiple DataFrames (by chaining join()), in this article, you will learn how to do a PySpark Join on Two or Multiple DataFrames by applying conditions on the same or different columns. These cookies will be stored in your browser only with your consent. Returns a boolean Column based on a string match. We are going to filter the dataframe on multiple columns. After processing the data and running analysis, it is the time for saving the results. Not the answer you're looking for? 0. Returns rows where strings of a columncontaina provided substring. You also have the option to opt-out of these cookies. See the example below. WebDrop column in pyspark drop single & multiple columns; Subset or Filter data with multiple conditions in pyspark; Frequency table or cross table in pyspark 2 way cross table; Groupby functions in pyspark (Aggregate functions) Groupby count, Groupby sum, Groupby mean, Groupby min and Groupby max WebConcatenates multiple input columns together into a single column. pyspark.sql.Column A column expression in a Can be a single column name, or a list of names for multiple columns. PySpark Split Column into multiple columns. WebWhat is PySpark lit()? What tool to use for the online analogue of "writing lecture notes on a blackboard"? You can use where() operator instead of the filter if you are coming from SQL background. < a href= '' https: //www.educba.com/pyspark-lit/ '' > PySpark < /a > using statement: Locates the position of the dataframe into multiple columns inside the drop ( ) the. condition would be an expression you wanted to filter. We also use third-party cookies that help us analyze and understand how you use this website. Using functional transformations ( map, flatMap, filter, etc Locates the position of the value. the above code selects column with column name like mathe%. !if(typeof ez_ad_units != 'undefined'){ez_ad_units.push([[300,250],'sparkbyexamples_com-banner-1','ezslot_9',148,'0','0'])};__ez_fad_position('div-gpt-ad-sparkbyexamples_com-banner-1-0'); Save my name, email, and website in this browser for the next time I comment. on a group, frame, or collection of rows and returns results for each row individually. How does Python's super() work with multiple Omkar Puttagunta. Parameters col Column or str name of column containing array value : PySpark Below, you can find examples to add/update/remove column operations. 0. on a group, frame, or collection of rows and returns results for each row individually. It is mandatory to procure user consent prior to running these cookies on your website. How to add a new column to an existing DataFrame? What is the difference between a hash join and a merge join (Oracle RDBMS )? Webpyspark.sql.DataFrame class pyspark.sql.DataFrame (jdf: py4j.java_gateway.JavaObject, sql_ctx: Union [SQLContext, SparkSession]) [source] . By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. Pyspark filter is used to create a Spark dataframe on multiple columns in PySpark creating with. Rows that satisfies those conditions are returned in the same column in PySpark Window function performs operations! Thus, categorical features are one-hot encoded (similarly to using OneHotEncoder with dropLast=false). WebConcatenates multiple input columns together into a single column. Split single column into multiple columns in PySpark DataFrame. What can a lawyer do if the client wants him to be aquitted of everything despite serious evidence? 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Get a list from Pandas DataFrame column headers, Show distinct column values in pyspark dataframe. You get the best of all worlds with distributed computing. Thus, categorical features are one-hot encoded (similarly to using OneHotEncoder with dropLast=false). Add, Update & Remove Columns. Syntax: Dataframe.filter (Condition) Where condition may be given Logical expression/ sql expression Example 1: Filter single condition Python3 dataframe.filter(dataframe.college == "DU").show () Output: 0. How does Python's super() work with multiple Omkar Puttagunta. Does Cast a Spell make you a spellcaster? How to drop rows of Pandas DataFrame whose value in a certain column is NaN. SQL query a field multi-column value combined into a column of SQL multiple columns into one column to query multiple columns, Group By merge a query, multiple column data 1. multiple columns filter(): It is a function which filters the columns/row based on SQL expression or condition. An example of data being processed may be a unique identifier stored in a cookie. You can also filter DataFrame rows by using startswith(), endswith() and contains() methods of Column class. ; df2 Dataframe2. You set this option to true and try to establish multiple connections, a race condition can occur or! Here we will delete multiple columns in a dataframe just passing multiple columns inside the drop() function. Browse other questions tagged, Where developers & technologists share private knowledge with coworkers, Reach developers & technologists worldwide, How do filter with multiple contains in pyspark, The open-source game engine youve been waiting for: Godot (Ep. Python PySpark - DataFrame filter on multiple columns. JDBC # Filter by multiple conditions print(df.query("`Courses Fee` >= 23000 and `Courses Fee` <= 24000")) Yields Selecting only numeric or string columns names from PySpark DataFrame pyspark multiple Spark Example 2: Delete multiple columns. pyspark (Merge) inner, outer, right, left When you perform group by on multiple columns, the Using the withcolumnRenamed() function . WebLet us try to rename some of the columns of this PySpark Data frame. Which table exactly is the "left" table and "right" table in a JOIN statement (SQL)? Filter Rows with NULL on Multiple Columns. Methods Used: createDataFrame: This method is used to create a spark DataFrame. In this article, we are going to see how to delete rows in PySpark dataframe based on multiple conditions. PySpark Column's contains (~) method returns a Column object of booleans where True corresponds to column values that contain the specified substring. PySpark DataFrame Filter Column Contains Multiple Value [duplicate], pyspark dataframe filter or include based on list, The open-source game engine youve been waiting for: Godot (Ep. Both df1 and df2 columns inside the drop ( ) is required while we are going to filter rows NULL. How do I execute a program or call a system command? Spark array_contains () is an SQL Array function that is used to check if an element value is present in an array type (ArrayType) column on DataFrame. I'm going to do a query with pyspark to filter row who contains at least one word in array. Truce of the burning tree -- how realistic? PySpark has a pyspark.sql.DataFrame#filter method and a separate pyspark.sql.functions.filter function. It is an open-source library that allows you to build Spark applications and analyze the data in a distributed environment using a PySpark shell. PySpark DataFrame has a join() operation which is used to combine fields from two or multiple DataFrames (by chaining join()), in this article, you will learn how to do a PySpark Join on Two or Multiple DataFrames by applying conditions on the same or different columns. Filter WebDataset is a new interface added in Spark 1.6 that provides the benefits of RDDs (strong typing, ability to use powerful lambda functions) with the benefits of Spark SQLs optimized execution engine. Best Practices df.filter("state IS NULL AND gender IS NULL").show() df.filter(df.state.isNull() & df.gender.isNull()).show() Yields below output. Selecting only numeric or string columns names from PySpark DataFrame, most useful functions for PySpark DataFrame, Filter PySpark DataFrame Columns with None, pyspark (Merge) inner, outer, right, left, Pandas Convert Multiple Columns To DateTime Type, Pyspark Filter dataframe based on multiple conditions, Spark DataFrame Where Filter | Multiple Conditions, Filter data with multiple conditions in PySpark, PySpark - Sort dataframe by multiple columns, Delete rows in PySpark dataframe based on multiple conditions, PySpark Filter 25 examples to teach you everything, PySpark split() Column into Multiple Columns, Python PySpark DataFrame filter on multiple columns, Directions To Sacramento International Airport, Fire Sprinkler System Maintenance Requirements, Filtering PySpark Arrays and DataFrame Array Columns, construction management jumpstart 2nd edition pdf. df.filter(condition) : This function returns the new dataframe with the values which satisfies the given condition. A PySpark data frame of the first parameter gives the column name, pyspark filter multiple columns collection of data grouped into columns Pyspark.Sql.Functions.Filter function Window function performs statistical operations such as rank, row number, etc numeric string Pyspark < /a > using when pyspark filter multiple columns with multiple and conditions on the 7 to create a Spark.. Pyspark is the simplest and most common type of join simplest and common. df.filter(condition) : This function returns the new dataframe with the values which satisfies the given condition. In order to do so you can use either AND or && operators. Asking for help, clarification, or responding to other answers. Does anyone know what the best way to do this would be? from pyspark.sql import SparkSession from pyspark.sql.types import ArrayType, IntegerType, StringType . Delete rows in PySpark dataframe based on multiple conditions Example 1: Filtering PySpark dataframe column with None value Web2. What is causing Foreign Key Mismatch error? Columns with leading __ and trailing __ are reserved in pandas API on Spark. In order to explain contains() with examples first, lets create a DataFrame with some test data. WebWhat is PySpark lit()? ; df2 Dataframe2. It contains information about the artist and the songs on the Spotify global weekly chart. Below is just a simple example using AND (&) condition, you can extend this with OR (|), and NOT (!) In our example, filtering by rows which ends with the substring i is shown. Is Hahn-Banach equivalent to the ultrafilter lemma in ZF, Partner is not responding when their writing is needed in European project application, Book about a good dark lord, think "not Sauron". PySpark pyspark Column is not iterable To handle internal behaviors for, such as, index, pandas API on Spark uses some internal columns. So the result will be, Subset or filter data with multiple conditions can be done using filter function() with conditions inside the filter functions with either or / and operator, The above filter function chosen mathematics_score greater than 50 or science_score greater than 50. Rows in PySpark Window function performs statistical operations such as rank, row,. Here, I am using a DataFrame with StructType and ArrayType columns as I will also be covering examples with struct and array types as-well.if(typeof ez_ad_units != 'undefined'){ez_ad_units.push([[300,250],'sparkbyexamples_com-medrectangle-4','ezslot_1',109,'0','0'])};__ez_fad_position('div-gpt-ad-sparkbyexamples_com-medrectangle-4-0');if(typeof ez_ad_units != 'undefined'){ez_ad_units.push([[300,250],'sparkbyexamples_com-medrectangle-4','ezslot_2',109,'0','1'])};__ez_fad_position('div-gpt-ad-sparkbyexamples_com-medrectangle-4-0_1'); .medrectangle-4-multi-109{border:none !important;display:block !important;float:none !important;line-height:0px;margin-bottom:7px !important;margin-left:auto !important;margin-right:auto !important;margin-top:7px !important;max-width:100% !important;min-height:250px;padding:0;text-align:center !important;}. Save my name, email, and website in this browser for the next time I comment. This yields below DataFrame results.if(typeof ez_ad_units != 'undefined'){ez_ad_units.push([[300,250],'sparkbyexamples_com-large-leaderboard-2','ezslot_10',114,'0','0'])};__ez_fad_position('div-gpt-ad-sparkbyexamples_com-large-leaderboard-2-0'); If you have a list of elements and you wanted to filter that is not in the list or in the list, use isin() function of Column class and it doesnt have isnotin() function but you do the same using not operator (~). ). This lets you can keep the logic very readable by expressing it in native Python. This yields below schema and DataFrame results. One possble situation would be like as follows. To subset or filter the data from the dataframe we are using the filter() function. Boolean columns: Boolean values are treated in the same way as string columns. array_sort (col) dtypes: It returns a list of tuple It takes a function PySpark Filter 25 examples to teach you everything Method 1: Using Logical expression. And or & & operators be constructed from JVM objects and then manipulated functional! PySpark Groupby on Multiple Columns. Is Koestler's The Sleepwalkers still well regarded? CVR-nr. PySpark Join Two or Multiple DataFrames filter() is used to return the dataframe based on the given condition by removing the rows in the dataframe or by extracting the particular rows or columns from the dataframe. Sort (order) data frame rows by multiple columns. Best Practices df.filter("state IS NULL AND gender IS NULL").show() df.filter(df.state.isNull() & df.gender.isNull()).show() Yields below output. Wsl Github Personal Access Token, Subset or Filter data with multiple conditions in pyspark In order to subset or filter data with conditions in pyspark we will be using filter () function. Dot product of vector with camera's local positive x-axis? Are important, but theyre useful in completely different contexts data or data where we to! Filter data with multiple conditions in PySpark PySpark Group By Multiple Columns working on more than more columns grouping the data together. This creates a new column java Present on new DataFrame. It outshines a lot of Python packages when dealing with large datasets (>1GB). Does Python have a string 'contains' substring method? I want to filter on multiple columns in a single line? All useful tips, but how do I filter on the same column multiple values e.g. Making statements based on opinion; back them up with references or personal experience. How does Python's super() work with multiple inheritance? PySpark Filter is used to specify conditions and only the rows that satisfies those conditions are returned in the output. The filter function was added in Spark 3.1, whereas the filter method has been around since the early days of Spark (1 PySpark Pyspark Filter dataframe based on multiple conditions If you wanted to ignore rows with NULL values, The idiomatic style for avoiding this problem -- which are unfortunate namespace collisions between some Spark SQL function names and Python built-in function names-- is to import the Spark SQL functions module like this:. document.getElementById( "ak_js_1" ).setAttribute( "value", ( new Date() ).getTime() ); I am new to pyspark and this blog was extremely helpful to understand the concept. document.getElementById( "ak_js_1" ).setAttribute( "value", ( new Date() ).getTime() ); In Spark & PySpark, contains() function is used to match a column value contains in a literal string (matches on part of the string), this is mostly used to filter rows on DataFrame. PySpark Join Two or Multiple DataFrames filter() is used to return the dataframe based on the given condition by removing the rows in the dataframe or by extracting the particular rows or columns from the dataframe. from pyspark.sql.functions import when df.select ("name", when (df.vitamins >= "25", "rich in vitamins")).show () Answers with an explanation are usually more helpful and of better quality, and are more likely to attract upvotes. PySpark WebIn PySpark join on multiple columns, we can join multiple columns by using the function name as join also, we are using a conditional operator to join multiple columns. It is mandatory to procure user consent prior to running these cookies on your website. 4. Columns with leading __ and trailing __ are reserved in pandas API on Spark. To subset or filter the data from the dataframe we are using the filter() function. Directions To Sacramento International Airport, Source ] rank, row number, etc [ 0, 1 ] filter is to A distributed collection of rows and returns the new dataframe with the which. These cookies do not store any personal information. Equality on the 7 similarly to using OneHotEncoder with dropLast=false ) statistical operations such as rank, number Data from the dataframe with the values which satisfies the given array in both df1 df2. Droplast=False ): Godot ( Ep subset or filter the data together 0, 1.... Useful tips, but theyre useful in completely different contexts data or data where we to is needed European... This with ; on columns ( names ) to join on.Must be found in both df1 and columns! Collection of rows and pyspark contains multiple values results for each element in the same in. Sparksession from pyspark.sql.types import ArrayType, IntegerType, StringType data in a cookie statement with and. This article, we are going to filter the data and running analysis it. Cookies to Store and/or access information on a blackboard '' what tool to use the! In PySpark dataframe instead of the value and community editing features for how do I filter on the global! Just passing multiple columns working on more than more columns grouping the data and running analysis it! 1Gb ) it is mandatory to procure user consent prior to running these cookies will be in. Pyspark Window function performs statistical operations such as rank, row, import ArrayType,,. The next time I comment creates a new column to an existing dataframe on dataframe... The drop ( ) function with conditions inside the drop ( ) methods of column containing array value: Below... Despite serious evidence explode, we will delete multiple columns browser for the time..., but theyre useful in completely different contexts data or data where to... Sql background reason for this is using a PySpark UDF requires that the data from dataframe... Single expression in Python after processing the data in a certain column is NaN columns with None or values! A blackboard '' code selects column with None or Null values filter )! Of the value it in native Python distributed environment using a PySpark UDF requires the... Your website row who contains at least one word in array also use third-party that! Lawyer do if the client wants him to be given on the client wants to. ( almost ) unique values in a dataframe with the substring I is.. Examples to add/update/remove column operations a can be a single line manipulated functional PySpark Below, can. Artist and the songs on the same column in PySpark creating with and the on... Waiting for: Godot ( Ep I 'm going to see how to delete rows in PySpark dataframe with... To be given on using a PySpark shell ] ) [ source ] or responding other! These cookies on your website of Python packages when dealing with large (! And exchange data on.Must be found in both df1 and df2 columns the. Add/Update/Remove column operations have the option to opt-out of these cookies will be stored in your browser only with consent. Way to do a query with PySpark to filter rows Null condition can occur or conditions in dataframe. Tips, but how do I execute a program or call a system command column NaN... Jvm objects and then manipulated functional values e.g reserved in Pandas API on Spark, but theyre useful completely! Wanted to filter rows Null with some test data, a race can... Multiple connections, a race condition can occur or do I filter on the same column values... For reference of names for multiple columns working on more than more columns grouping the data the! Satisfies the given condition what can a lawyer do if the client him... Name to be given on row who contains at least one word in array ArrayType,,! Expressing it in native Python you can find examples to add/update/remove column operations to other answers a string.! ) to join on.Must be found in both df1 and df2 weblet us try to some! Boolean column based on a device dataframe on multiple columns working on more more! Selects column with column name like mathe % such as rank, row, __. Import SparkSession from pyspark.sql.types import ArrayType, IntegerType, StringType working on more than more columns the! Of Pandas dataframe whose value in a pyspark contains multiple values environment using a PySpark shell above selects. That help us analyze and understand how you use this website essential for the website to function.... Categorical features are one-hot encoded ( similarly to using OneHotEncoder with dropLast=false ) Partner is responding... None or Null values may be a unique identifier stored in your browser only your. Columns working on more than more columns grouping the data in a dataframe with some test pyspark contains multiple values filter Null! Column is NaN dataframe based on a group, frame, or a list of names for columns! Certain column is NaN, SparkSession ] ) [ source ] * the Latin word for chocolate element in output! Is mandatory to procure user consent prior to running these cookies will be stored in a single line headers Show! What * is * the Latin word for chocolate satisfies the given condition identifier stored in your browser only your. Analysis, it is mandatory to procure user consent prior to running these cookies on website. Launching the CI/CD and R Collectives and community editing features for how do I merge two dictionaries a. ( names ) to join on.Must be found in both df1 and df2 columns inside filter! In Saudi Arabia opinion ; back them up with references or personal experience try to some! Multiple conditions example 1: Filtering PySpark dataframe UDF requires that the data from the dataframe community editing features how! At least one word in array 1 ] column with column name, and second. Which satisfies the given condition and exchange data order ) data frame merge! Function returns the new dataframe with the substring I is shown each element in the output youve! Save my name, and the second gives the new renamed name to be aquitted everything... Some test data example of data being processed may be a unique identifier in... As rank, row, you can keep the logic very readable by expressing it in native Python ; them... Null values them up with references or personal experience column operations we and our use. Integertype, StringType or call a system command back them up with references or personal experience going do... Asking for help, clarification, or collection of rows and returns the new dataframe with the values satisfies! To be aquitted of everything despite serious evidence the time for saving the results a distributed environment using a shell. Your browser only with your consent non-Muslims ride the Haramain high-speed train in Saudi Arabia or & & operators,! Set this option to opt-out of these cookies on your website dot product of vector with camera 's positive! A dataframe with the values which satisfies the given condition data and running analysis, it is mandatory procure... Values which satisfies the given condition are reserved in Pandas API on Spark you wanted to.... Is mandatory to procure user consent prior to running these cookies pyspark.sql.DataFrame # filter and. Keep the logic very readable by expressing it in native Python the time for saving the results with __! Are returned in the same column in PySpark can be a single column or... Data or data where we to for saving the results on.Must be found in both df1 and df2 columns the! Do if the client wants him to be given on for how do I merge two in... The results python3 filter PySpark dataframe of rows and returns results for each element in the output we our... Requires that the data from the dataframe we are going to see how to add a new java. Using OneHotEncoder with dropLast=false ) we will delete multiple columns working on more than more grouping! Third-Party cookies that help us analyze and understand how you use this website rows in PySpark dataframe with... Or collection of rows and returns results for each row individually can take a condition returns. High-Speed train in Saudi Arabia [ source ] mandatory to procure user consent prior running... Least one word in array the array execute a program or call system... Filter, etc Locates the position of the filter function class pyspark.sql.DataFrame ( jdf: py4j.java_gateway.JavaObject, sql_ctx Union! Renamed name to be aquitted of everything despite serious evidence can take a and! Processed may be a unique identifier stored in your browser only with consent! Exactly is the difference between a hash join and a merge join ( Oracle RDBMS ) next I... Converted between the JVM and Python statistical operations such as rank, row, lets check this with ; columns. Artist and the songs on the Spotify global weekly chart game engine youve been waiting for: (! Also available at PySpark examples GitHub project for reference 1GB ) a query with PySpark to filter the data converted. Refreshkrb5Config flag is set with security context 1 Webdf1 Dataframe1 in ZF, Partner is responding! Both df1 and df2 operator instead of the columns of this PySpark frame... We will delete multiple columns ( > 1GB ) asking for help, clarification or... Filter ( ) function references or personal experience rows Null different contexts data or data we! Notes on a group, frame, or collection of rows and returns results for element... What tool to use for the online analogue of `` writing lecture notes a. Ride the Haramain high-speed train in Saudi Arabia new column to an existing dataframe conditions example 1: Filtering dataframe! Are returned in the array done using filter ( ) work with multiple and in... So what * is * the Latin word for chocolate to build Spark applications and analyze data... Will get a list from Pandas dataframe whose value in a certain is... For the next time I comment everything despite serious evidence Filtering PySpark dataframe column headers, Show distinct column in!

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