![PySpark lit () function is used to add constant or literal value as a new column to the DataFrame. Creates a [ [Column]] of literal value. The passed in object is returned directly if it is already a [ [Column]]. If the object is a Scala Symbol, it is converted into a [ [Column]] also. Otherwise, a new [ [Column]] is created to represent the .... Popcorn.suspected](/img/512x512/1126919284687.webp)
Databricks NameError: name 'expr' is not defined. When attempting to execute the following spark code in Databricks I get the error: NameError: name 'expr' is not defined %python df = sql ("select * from xxxxxxx.xxxxxxx") transfromWithCol = (df.withColumn ("MyTestName", expr ("case when first_name = 'Peter' then 1 else 0 end")))This code works as written outside of a Jupyter notebook, I believe the answers you want can be found here.Multiprocessing child threads need to be able to import the __main__ script, and I believe Jupyter loads your script as a module, meaning the child processes don't have access to it. You need to move the workers to another module and …Nov 3, 2017 · SparkSession.builder.getOrCreate () I'm not sure you need a SQLContext. spark.sql () or spark.read () are the dataset entry points. First bullet here on Spark docs. SparkSession is now the new entry point of Spark that replaces the old SQLContext and HiveContext. If you need an sc variable at all, that is sc = spark.sparkContext. Outcome: NameError: name 'spark' is not defined. Solution: add the following to the .py file: from pyspark.sql import SparkSession spark = SparkSession.builder.getOrCreate() Are there any implications to this? Does the notebook code and .py code share the same session or does this cause separate sessions? …Solution 1: Import the required module. Ensure you imported the required module that defines the “sqlcontext” variable. In the case of Apache Spark, the module that usually used is pyspark.sql. By importing the sqlcontext class from the pyspark.sql module, by doing so, you can access the “sqlcontext” variable and perform SQL operations ...NameError: name 'sc' is not defined. This is saying that the 'sc' is not defined in the program and due to this program can't be executed. So, in your pyspark program you have to first define SparkContext and store the object in a variable called 'sc'. By default developers are using the name 'sc' for SparkContext object, but if you whish you ...I'm using a notebook within Databricks. The notebook is set up with python 3 if that helps. Everything is working fine and I can extract data from Azure Storage. However when I run: import org.apa...I'm using a notebook within Databricks. The notebook is set up with python 3 if that helps. Everything is working fine and I can extract data from Azure Storage. However when I run: import org.apa...I am trying to overwrite a Spark dataframe using the following option in PySpark but I am not successful. spark_df.write.format('com.databricks.spark.csv').option("header", "true",mode='overwrite').save(self.output_file_path) the mode=overwrite command is …NameError: name 'lgb' is not defined. python; scikit-learn; nameerror; lightgbm; Share. Improve this question. Follow ... To check whether installed or not. Always check the package using pip freeze and grep pip freeze | grep lightbgm on linux – Pygirl. Nov 28, 2020 at 7:12. 1.Jun 7, 2017 · Traceback (most recent call last): File "<stdin>", line 1, in <module> NameError: name 'sc' is not defined I have tried: >>> from pyspark import SparkContext >>> sc = SparkContext() But still showing the error: For a slightly more complete solution which can generalize to cases where more than one column must be reported, use 'withColumn' instead of a simple 'select' i.e.: df.withColumn('word',explode('word')).show() This guarantees that all the rest of the columns in the DataFrame are still present in the output DataFrame, after using explode.Mar 27, 2022 · I don't think this is the command to be used because Python can't find the variable called spark. spark.read.csv means "find the variable spark, get the value of its read attribute and then get this value's csv method", but this fails since spark doesn't exist. This isn't a Spark problem: you could've as well written nonexistent_variable.read.csv. The above code works perfectly on Jupiter notebook but doesn't work when trying to run the same code saved in a python file with spark-submit I get the following errors. NameError: name 'spark' is not defined. when i replace spark.read.format("csv") with sc.read.format("csv") I get the following errorRun below commands in sequence. import findspark findspark.init() import pyspark from pyspark.sql import SparkSession spark = SparkSession.builder.master("local [1]").appName("SparkByExamples.com").getOrCreate() In case for any reason, you can’t install findspark, you can resolve the issue in other ways by manually setting …PySpark lit () function is used to add constant or literal value as a new column to the DataFrame. Creates a [ [Column]] of literal value. The passed in object is returned directly if it is already a [ [Column]]. If the object is a Scala Symbol, it is converted into a [ [Column]] also. Otherwise, a new [ [Column]] is created to represent the ...You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window.1 Answer. You need from numpy import array. This is done for you by the Spyder console. But in a program, you must do the necessary imports; the advantage is that your program can be run by people who do not have Spyder, for instance. I am not sure of what Spyder imports for you by default. array might be imported through from pylab import * or ...Jan 22, 2020 · 1 Answer. Sorted by: 6. You can use pyspark.sql.functions.split (), but you first need to import this function: from pyspark.sql.functions import split. It's better to explicitly import just the functions you need. Do not do from pyspark.sql.functions import *. Share. Improve this answer. Then, in the operation. answer += 1*z**i. You will be telling it to multiply three numbers instead of two numbers and the string "1". In other languages like C, you must declare variables so that the computer knows the variable type. You would have to write string variable_name = "string text" in order to tell the computer that the variable is ...@AbdiDhago you're not looking for an alternative to import * you're looking for a design change that removes the need for a circular dependency. A solution would be to extract the common logic into a 3rd file and use it (import * from it) both in engine and story.Feb 5, 2019 · I am using spark 2.4.0 in Google Cloud Compute Engine having CentOS 6 and having 3.75 GM Memory. ... = save_memoryview NameError: name 'memoryview' is not defined >>> ... How to fix “nameerror: name ‘spark’ is not defined”? 1. Install PySpark. Ensure that you have installed PySpark. ... 2. Import PySpark modules. Ensure that you …Apr 23, 2016 · Here is one workaround, I would suggest that you to try without depending on pyspark to load context for you:-. Install findspark python package from . pip install findspark ... Apr 25, 2016 · Teams. Q&A for work. Connect and share knowledge within a single location that is structured and easy to search. Learn more about Teams How to fix “nameerror: name ‘spark’ is not defined”? 1. Install PySpark. Ensure that you have installed PySpark. ... 2. Import PySpark modules. Ensure that you …registerFunction(name, f, returnType=StringType)¶ Registers a python function (including lambda function) as a UDF so it can be used in SQL statements. In addition to a name …1 Answer. You can solve this problem by adding another argument into the save_character function so that the character variable must be passed into the brackets when calling the function: def save_character (save_name, character): save_name_pickle = save_name + '.pickle' type ('> saving character') w (1) with open (save_name_pickle, 'wb') as f ...Mar 18, 2018 · I don't know. If pyspark is a separate kernel, you should be able to run that with nbconvert as well. Try using the option --ExecutePreprocessor.kernel_name=pyspark. If it's still not working, ask on a Pyspark mailing list or issue tracker. On the 4th line, you define the variable config (by assigning to it) within the scope of the function definition that started on line 1. Then on line 11, outside the function (notice indentation), you try to access a variable named config in global scope (and refer to its attribute yaml) - but there isn't one.. Probably you didn't mean to access the variable …pyspark : NameError: name 'spark' is not defined. ... NameError: global name 'dot_parser' is not defined / PydotPlus / Pyparsing 2 / Anaconda. Load 4 more related questions Show fewer related questions Sorted by: Reset to default Know someone who can answer? Share a link to this question via email, Twitter, or Facebook. Your …6. First point: global <name> doesn't define a variable, it only tells the runtime that in this function, " <name> " will have to be looked up in the "global" namespace instead of the local one. Second point : in Python, the "global" namespace really means the current module's top-level namespace. And that's the most "global" namespace you'll ...I have installed the Apache Spark provider on top of my exiting Airflow 2.0.0 installation with: pip install apache-airflow-providers-apache-spark When I start the webserver it is unable to import ...Nov 11, 2019 · The simplest to read csv in pyspark - use Databrick's spark-csv module. from pyspark.sql import SQLContext sqlContext = SQLContext(sc) df = sqlContext.read.format('com.databricks.spark.csv').options(header='true', inferschema='true').load('file.csv') Also you can read by string and parse to your separator. Since PySpark 2.0, First, you need to create a SparkSession which internally creates a SparkContext for you. import pyspark from pyspark.sql import SparkSession spark = SparkSession.builder.appName('SparkByExamples.com').getOrCreate() sparkContext=spark.sparkContext. Now, use sparkContext.parallelize () to create rdd …You're already importing only the exception from botocore, not all of botocore, so it doesn't exist in the namespace to have an attribute called from it.Either import all of botocore, or just call the exception by name. except botocore.ProfileNotFound-> except ProfileNotFound – G. AndersonPython NameError: name is not defined; But since the class and function are both defined in the correct order in the script I copied, there must be something else going on. python; python-2.7; api; jupyter; jupyter-notebook; Share. Improve this question. Follow edited May 23, 2017 at 12:23. Community Bot. 1 1 1 silver badge. asked Jan 30, …6. First point: global <name> doesn't define a variable, it only tells the runtime that in this function, " <name> " will have to be looked up in the "global" namespace instead of the local one. Second point : in Python, the "global" namespace really means the current module's top-level namespace. And that's the most "global" namespace you'll ...Teams. Q&A for work. Connect and share knowledge within a single location that is structured and easy to search. Learn more about TeamsSorted by: 1. Indeed, you forgot to store the result of read_fasta (file_name) in a sequences list, so it is not defined. Here is a correct version of your code: file_name = "chr21_dna_sequence.fasta" sequences = read_fasta (file_name) write_cat_seq (file_name, sequences) print ('Saved and Complete') Share. Improve this answer.1 1. 1. Please use the "code sample" feature to show code snippets. Avoid sending screenshots. – Foivoschr. May 10, 2020 at 8:34. I think code part that have the problem is not present on the screenshot. Seems like you're using variable/function that you didn't define/import. – Rayan Ral.1 Answer. You can solve this problem by adding another argument into the save_character function so that the character variable must be passed into the brackets when calling the function: def save_character (save_name, character): save_name_pickle = save_name + '.pickle' type ('> saving character') w (1) with open (save_name_pickle, 'wb') as f ...If you are getting Spark Context 'sc' Not Defined in Spark/PySpark shell use below export. export PYSPARK_SUBMIT_ARGS="--master local [1] pyspark-shell". vi ~/.bashrc , add the above line and reload the bashrc file using source ~/.bashrc and launch spark-shell/pyspark shell. Below is a way to use get SparkContext object in PySpark …Databricks NameError: name 'expr' is not defined. When attempting to execute the following spark code in Databricks I get the error: NameError: name 'expr' is not defined %python df = sql ("select * from xxxxxxx.xxxxxxx") transfromWithCol = (df.withColumn ("MyTestName", expr ("case when first_name = 'Peter' then 1 else 0 end")))Thanks for contributing an answer to Stack Overflow! Please be sure to answer the question.Provide details and share your research! But avoid …. Asking for help, clarification, or responding to other answers.Jan 23, 2023 · Outcome: NameError: name 'spark' is not defined Solution: add the following to the .py file: from pyspark.sql import SparkSession spark = SparkSession.builder.getOrCreate () Are there any implications to this? Does the notebook code and .py code share the same session or does this cause separate sessions? Apr 8, 2019 · You're already importing only the exception from botocore, not all of botocore, so it doesn't exist in the namespace to have an attribute called from it. Either import all of botocore, or just call the exception by name. PySpark lit () function is used to add constant or literal value as a new column to the DataFrame. Creates a [ [Column]] of literal value. The passed in object is returned directly if it is already a [ [Column]]. If the object is a Scala Symbol, it is converted into a [ [Column]] also. Otherwise, a new [ [Column]] is created to represent the ...The above code works perfectly on Jupiter notebook but doesn't work when trying to run the same code saved in a python file with spark-submit I get the following errors. NameError: name 'spark' is not defined. when i replace spark.read.format("csv") with sc.read.format("csv") I get the following errorThe simplest to read csv in pyspark - use Databrick's spark-csv module. from pyspark.sql import SQLContext sqlContext = SQLContext(sc) df = sqlContext.read.format('com.databricks.spark.csv').options(header='true', inferschema='true').load('file.csv') Also you can read by string and parse to your separator.I have installed the Apache Spark provider on top of my exiting Airflow 2.0.0 installation with: pip install apache-airflow-providers-apache-spark When I start the webserver it is unable to import ...Apr 25, 2023 · If you are getting Spark Context 'sc' Not Defined in Spark/PySpark shell use below export. export PYSPARK_SUBMIT_ARGS="--master local [1] pyspark-shell". vi ~/.bashrc , add the above line and reload the bashrc file using source ~/.bashrc and launch spark-shell/pyspark shell. Below is a way to use get SparkContext object in PySpark program. I'm running the PySpark shell and unable to create a dataframe. I've done import pyspark from pyspark.sql.types import StructField from pyspark.sql.types import StructType all without any errors Hi Oli, Thank you, thats pointed me the right way. The entire code for my experiment is: #beginning of code for experiment! from psychopy import visual, core, event #import some libraries from PsychoPy trial_timer = core.Clock()Feb 5, 2019 · I am using spark 2.4.0 in Google Cloud Compute Engine having CentOS 6 and having 3.75 GM Memory. ... = save_memoryview NameError: name 'memoryview' is not defined >>> ... How many terms do you want for the sequence? 5 Traceback (most recent call last): File "fibonacci.py", line 18, in <module> n = calculate_nt_term(n1, n2) NameError: name 'calculate_nt_term' is not defined. Python cannot find the name “calculate_nt_term” in the program because of the misspelling.Dec 25, 2019 · 2 days back I could run pyspark basic actions. now spark context is not available sc. I tried multiple blogs but nothing worked. currently I have python 3.6.6, java 1.8.0_231, and apache spark( with hadoop) spark-3.0.0-preview-bin-hadoop2.7. I am trying to run simple command on Jupyter notebook Feb 20, 2019 · 1 Answer. Sorted by: Reset to default. This answer is useful. 4. This answer is not useful. Save this answer. Show activity on this post. try this : from pyspark.sql.session import SparkSession spark = SparkSession.builder.getOrCreate () Jun 12, 2018 · To access the DBUtils module in a way that works both locally and in Azure Databricks clusters, on Python, use the following get_dbutils (): def get_dbutils (spark): try: from pyspark.dbutils import DBUtils dbutils = DBUtils (spark) except ImportError: import IPython dbutils = IPython.get_ipython ().user_ns ["dbutils"] return dbutils. Dec 26, 2016 · There is nothing special in lambda expressions in context of Spark. You can use getTime directly: spark.udf.register ('GetTime', getTime, TimestampType ()) There is no need for inefficient udf at all. Spark provides required function out-of-the-box: spark.sql ("SELECT current_timestamp ()") or. Nov 11, 2019 · The simplest to read csv in pyspark - use Databrick's spark-csv module. from pyspark.sql import SQLContext sqlContext = SQLContext(sc) df = sqlContext.read.format('com.databricks.spark.csv').options(header='true', inferschema='true').load('file.csv') Also you can read by string and parse to your separator. create a list with new column names: newcolnames = ['NameNew','AmountNew','ItemNew'] change the column names of the df: for c,n in zip (df.columns,newcolnames): df=df.withColumnRenamed (c,n) view df with new column names:Teams. Q&A for work. Connect and share knowledge within a single location that is structured and easy to search. Learn more about Teams2 days back I could run pyspark basic actions. now spark context is not available sc. I tried multiple blogs but nothing worked. currently I have python 3.6.6, java 1.8.0_231, and apache spark( with ... (most recent call last) <ipython-input-2-572751a2bc2a> in <module> ----> 1 data = sc.textfile('airline.csv') NameError: name 'sc' …Nov 3, 2017 · SparkSession.builder.getOrCreate () I'm not sure you need a SQLContext. spark.sql () or spark.read () are the dataset entry points. First bullet here on Spark docs. SparkSession is now the new entry point of Spark that replaces the old SQLContext and HiveContext. If you need an sc variable at all, that is sc = spark.sparkContext. Apr 25, 2023 · If you are getting Spark Context 'sc' Not Defined in Spark/PySpark shell use below export. export PYSPARK_SUBMIT_ARGS="--master local [1] pyspark-shell". vi ~/.bashrc , add the above line and reload the bashrc file using source ~/.bashrc and launch spark-shell/pyspark shell. Below is a way to use get SparkContext object in PySpark program. @AbdiDhago you're not looking for an alternative to import * you're looking for a design change that removes the need for a circular dependency. A solution would be to extract the common logic into a 3rd file and use it (import * from it) both in engine and story.Aug 10, 2020 · 1 Answer. Inside the pyspark shell you automatically only have access to the spark session (which can be referenced by "spark"). To get the sparkcontext, you can get it from the spark session by sc = spark.sparkContext. Or using the getOrCreate () method as mentioned by @Smurphy0000 in the comments. Version is an attribute of the spark context. 1 Answer. You need from numpy import array. This is done for you by the Spyder console. But in a program, you must do the necessary imports; the advantage is that your program can be run by people who do not have Spyder, for instance. I am not sure of what Spyder imports for you by default. array might be imported through from pylab import * or ...Oct 1, 2019 · 2. You need to import the DynamicFrame class from awsglue.dynamicframe module: from awsglue.dynamicframe import DynamicFrame. There are lot of things missing in the examples provided with the AWS Glue ETL documentation. However, you can refer to the following GitHub repository which contains lots of examples for performing basic tasks with Glue ... 1 Answer. You need from numpy import array. This is done for you by the Spyder console. But in a program, you must do the necessary imports; the advantage is that your program can be run by people who do not have Spyder, for instance. I am not sure of what Spyder imports for you by default. array might be imported through from pylab import * or ... Feb 11, 2013 · Add a comment. 23. Note that sometimes you will want to use the class type name inside its own definition, for example when using Python Typing module, e.g. class Tree: def __init__ (self, left: Tree, right: Tree): self.left = left self.right = right. This will also result in. NameError: name 'Tree' is not defined. registerFunction(name, f, returnType=StringType)¶ Registers a python function (including lambda function) as a UDF so it can be used in SQL statements. In addition to a name …Aug 10, 2020 · 1 Answer. Inside the pyspark shell you automatically only have access to the spark session (which can be referenced by "spark"). To get the sparkcontext, you can get it from the spark session by sc = spark.sparkContext. Or using the getOrCreate () method as mentioned by @Smurphy0000 in the comments. Version is an attribute of the spark context. May 3, 2023 · df = spark.createDataFrame(data, ["features"]). 4. Use findspark library. Using the findspark library allows users to locate and use the Spark installation on the system. 23. If you are using Apache Spark 1.x line (i.e. prior to Apache Spark 2.0), to access the sqlContext, you would need to import the sqlContext; i.e. from pyspark.sql import SQLContext sqlContext = SQLContext (sc) If you're using Apache Spark 2.0, you can just the Spark Session directly instead. Therefore your code will be.TypeError: Invalid argument, not a string or column: <function <lambda> at 0x7f1f357c6160> of type <class 'function'> 0 How to Compile a While Loop statement in PySpark on Apache Spark with DatabricksOct 30, 2019 · Sorted by: 0. When you start pyspark from the command line, you have a sparkSession object and a sparkContext available to you as spark and sc respectively. For using it in pycharm, you should create these variables first so you can use them. from pyspark.sql import SparkSession spark = SparkSession.builder.getOrCreate () sc = spark.sparkContext. 2 Answers. from pyspark import SparkConf, SparkContext from pyspark.sql import SQLContext conf = SparkConf ().setAppName ("building a warehouse") sc = SparkContext (conf=conf) sqlCtx = SQLContext (sc) Hope this helps. sc is a helper value created in the spark-shell, but is not automatically created with spark-submit.1 Answer. You need from numpy import array. This is done for you by the Spyder console. But in a program, you must do the necessary imports; the advantage is that your program can be run by people who do not have Spyder, for instance. I am not sure of what Spyder imports for you by default. array might be imported through from pylab import * or ... Make sure that you have the nltk module installed. Use pip show nltk inside command prompt or terminal to check if you have the nltk module installed or not. If it is not installed, use pip install nltk inside the command prompt or terminal to install the nltk module. Import the nltk module. Download the stopwords corpus using the nltk module ...I'm using a notebook within Databricks. The notebook is set up with python 3 if that helps. Everything is working fine and I can extract data from Azure Storage. However when I run: import org.apa...Adding dictionary keys as column name and dictionary value as the constant value of that column in Pyspark df 0 How to add a completely irrelevant column to a data frame when using pyspark, spark + databricks
1 Answer. The problem with this code is that variable named df is not defined. If you want to use a csv file and import it as pandas dataframe, you can use pandas read_csv method which you can learn more about in pandas documentation here. # I want to read "name.csv" file df = pd.read_csv ("name.csv") # It should be present in the …. Google ac 1304
The simplest to read csv in pyspark - use Databrick's spark-csv module. from pyspark.sql import SQLContext sqlContext = SQLContext(sc) df = sqlContext.read.format('com.databricks.spark.csv').options(header='true', inferschema='true').load('file.csv') Also you can read by string and parse to your separator.On the 4th line, you define the variable config (by assigning to it) within the scope of the function definition that started on line 1. Then on line 11, outside the function (notice indentation), you try to access a variable named config in global scope (and refer to its attribute yaml) - but there isn't one.. Probably you didn't mean to access the variable …You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window.Apr 30, 2020 · Part of Microsoft Azure Collective. 0. I am trying to use DBUtils and Pyspark from a jupyter notebook python script (running on Docker) to access an Azure Data Lake Blob. However, I can't seem to get dbutils to be recognized (i.e. NameError: name 'dbutils' is not defined). I've tried explicitly importing DBUtils, as well as not importing it as ... 1 Answer. Sorted by: 6. dt means nothing in your current code what the interpreter kindly tells you. What you're trying to do is to call a datetime.datetime.fromtimestamp () You can change your import to: import datetime as dt. and then dt will be an alias for datetime package so dt.datetime.fromtimestamp (created) …In my test-notebook.ipynb, I import my class the usual way (which works): from classes.conditions import *. Then, after creating my DataFrame, I create a new instance of my class (that also works). Finally, when a run the np.select operation this raises the following NameError: name 'ex_df' is not defined. I have no idea why this outputs …3 Answers. Sorted by: 2. Your specific issue of NameError: name 'guess' is not defined is because guess is defined in your main function, but the while loop that it is failing on is outside of that function. Your indention is entirely wrong for this application. If you want your while guess != number: to work, you need to make it part of main.With Spark 2.0 a new class SparkSession ( pyspark.sql import SparkSession) has been introduced. SparkSession is a combined class for all different contexts we used to have prior to 2.0 release (SQLContext and HiveContext e.t.c). Since 2.0 SparkSession can be used in replace with SQLContext, HiveContext, and other contexts …May 3, 2023 · df = spark.createDataFrame(data, ["features"]). 4. Use findspark library. Using the findspark library allows users to locate and use the Spark installation on the system. Feb 1, 2015 · C:\Spark\spark-1.3.1-bin-hadoop2.6\python\pyspark\java_gateway.pyc in launch_gateway() 77 callback_socket.close() 78 if gateway_port is None: ---> 79 raise Exception("Java gateway process exited before sending the driver its port number") 80 81 # In Windows, ensure the Java child processes do not linger after Python has exited. To access the DBUtils module in a way that works both locally and in Azure Databricks clusters, on Python, use the following get_dbutils (): def get_dbutils (spark): try: from pyspark.dbutils import DBUtils dbutils = DBUtils (spark) except ImportError: import IPython dbutils = IPython.get_ipython ().user_ns ["dbutils"] return dbutils.You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window.When you are using Jupyter 4.1.0 or Jupyter 5.0.0 notebooks with Spark version 2.1.0 or higher, only one Jupyter notebook kernel can successfully start a SparkContext. All subsequent kernels are not able to start a SparkContext ( sc ). If you try to issue Spark commands on any subsequent kernels without stopping the running kernel, you ...Jun 7, 2017 · Traceback (most recent call last): File "<stdin>", line 1, in <module> NameError: name 'sc' is not defined I have tried: >>> from pyspark import SparkContext >>> sc = SparkContext() But still showing the error: SparkSession.builder.getOrCreate () I'm not sure you need a SQLContext. spark.sql () or spark.read () are the dataset entry points. First bullet here on Spark docs. SparkSession is now the new entry point of Spark that replaces the old SQLContext and HiveContext. If you need an sc variable at all, that is sc = spark.sparkContext.which will open your contents in a new browser. I'm not sure about Streamlit, but I know that there is None instead of null in Python. You can try to define null = None in your script C:\Users\cupac\desktop\untitled.py at the top - it might work! As it’s currently written, your answer is unclear..