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 ...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 …You are not calling your udf the right way, it's either register a udf and then call it inside .sql("..") query or create udf() on your function and then call it inside your .withColumn(), I fixed your code:PySpark: NameError: name 'col' is not defined. I am trying to find the length of a dataframe column, I am running the following code: from pyspark.sql.functions import * def check_field_length (dataframe: object, name: str, required_length: int): dataframe.where (length (col (name)) >= required_length).show ()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 …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 ... 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.# Get the sequence of the 1qg8 PDB file, and write to an alignment fileThis 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 …1 Answer. You are using the built-in function 'count' which expects an iterable object, not a column name. You need to explicitly import the 'count' function with the same name from pyspark.sql.functions. from pyspark.sql.functions import count as _count old_table.groupby ('name').agg (countDistinct ('age'), _count ('age'))1. Install PySpark to resolve No module named ‘pyspark’ Error Note that PySpark doesn’t come with Python installation hence it will not be available by default, in …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 ...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. Add a comment. -1. The first thing a Spark program must do is to create a SparkContext object, which tells Spark how to access a cluster. To create a SparkContext you first need to build a SparkConf object that contains information about your application. conf = SparkConf ().setAppName (appName).setMaster (master) sc = SparkContext …Dec 24, 2018 · I tried df.write.mode(SaveMode.Overwrite) and got NameError: name 'SaveMode' is not defined. Maybe this is not available for pyspark 1.5.1. Maybe this is not available for pyspark 1.5.1. – LegoLAs 1. df ['timestamp'] = [datetime.datetime.fromtimestamp (d) for d in df.time] I think that line is the problem. Your Dataframe df at the end of the line doesn't have the attribute .time. For what it's worth I'm on Python 3.6.0 and this runs perfectly for me: import requests import datetime import pandas as pd def daily_price_historical (symbol ...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. 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."NameError: name 'token' is not defined. I am writing a token generator, (like a password generator) and I made a function called buy_tokens(token). Even after the function, it does not read the parameter that is passed in the buy_token function. To understand better, read the code: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? …Sign in to comment I cannot run cells of an existing python notebook successfully downloaded from my Databricks instance through your (very cool) …Convert Spark SQL Dataframe to Pandas Dataframe. I'm current using a Databricks notebook, intially in Scala, using JDBC to connect to a SQL server and return a table. i use the following code to query and display the table within the notebook. val ViewSQLTable= spark.read.jdbc (jdbcURL, "api.meter_asset_enquiry", …@ignore_unicode_prefix @since (2.3) def registerJavaFunction (self, name, javaClassName, returnType = None): """Register a Java user-defined function as a SQL function. In addition to a name and the function itself, the return type can be optionally specified. When the return type is not specified we would infer it via reflection.:param …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:1. Install PySpark to resolve No module named ‘pyspark’ Error Note that PySpark doesn’t come with Python installation hence it will not be available by default, in …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 …Teams. Q&A for work. Connect and share knowledge within a single location that is structured and easy to search. Learn more about Teamspyspark : 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 …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.NameError: name 'spark' is not defined . When I started up the debugger, I was given an option to choose between the Python Environments and Existing Jupyter Server: I chose Environments -> Python 3.11.6: Because I didn't know of a Jupyter Server URL that MS Fabric provides.1 Answer. Sorted by: 1. Only issue here is undefined session, you need identify with this session = rembg.new_session (). After that you can take output. Share. Improve this answer. Follow.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. 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. NameError: name ‘spark’ is not defined错误通常出现在我们试图使用PySpark之前没有正确初始化SparkSession时。. 当我们使用PySpark之前，我们需要通过以下代码初始化SparkSession：. from pyspark.sql import SparkSession # 初始化 SparkSession spark = SparkSession.builder.appName("AppName").getOrCreate ... try: # Python 2 forward compatibility range = xrange except NameError: pass # Python 2 code transformed from range (...) -> list (range (...)) and # xrange (...) -> range (...). The latter is preferable for codebases that want to aim to be Python 3 compatible only in the long run, it is easier to then just use Python 3 syntax whenever possible ...I have a function all_purch_spark() that sets a Spark Context as well as SQL Context for five different tables. The same function then successfully runs a sql query against an AWS Redshift DB. ... NameError: name 'sqlContext' is not defined ...Jul 14, 2021 · 按热度 按时间. svdrlsy4 1#. 如果您使用的是ApacheSpark1.x行（即ApacheSpark2.0之前的版本），则要访问 sqlContext ，则需要导入 sqlContext ; 即. from pyspark.sql import SQLContext. sqlContext = SQLContext(sc) 如果您使用的是apachespark2.0，那么 Spark Session 而是直接。. 因此，您的代码将 ... Nov 23, 2016 · 1. I got it worked by using the following imports: from pyspark import SparkConf from pyspark.context import SparkContext from pyspark.sql import SparkSession, SQLContext. I got the idea by looking into the pyspark code as I found read csv was working in the interactive shell. Share. >>> b = a Traceback (most recent call last): File "<stdin>", line 1, in <module> NameError: name 'a' is not defined It is important to know that very few Python commands will "magically" create names. To create a name, you would almost always need an assignment (name = ...). So as a general rule if you you haven't done this, name willTeams. Q&A for work. Connect and share knowledge within a single location that is structured and easy to search. Learn more about TeamsOct 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. 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.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 …When I try tokens = cleaned_book(flatMap(normalize_tokenize)) Traceback (most recent call last): File "<stdin>", line 1, in <module> NameError: name 'flatMap' is not defined whereI solved defining the following helper function in my model's module: from uuid import uuid4 def generateUUID (): return str (uuid4 ()) then: f = models.CharField (default=generateUUID, max_length=36, unique=True, editable=False) south will generate a migration file (migrations.0001_initial) with a generated UUID like: default='5c88ff72-def3 ...17. When executing Python scripts, the Python interpreter sets a variable called __name__ to be the string value "__main__" for the module being executed (normally this variable contains the module name). It is common to check the value of this variable to see if your module is being imported for use as a library, or if it is being executed ...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. – …1) Using SparkContext.getOrCreate () instead of SparkContext (): from pyspark.context import SparkContext from pyspark.sql.session import SparkSession sc = SparkContext.getOrCreate () spark = SparkSession (sc) 2) Using sc.stop () in the end, or before you start another SparkContext. Share. 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 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. Jun 6, 2015 · 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. 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. NameError: name 'spark' is not defined . When I started up the debugger, I was given an option to choose between the Python Environments and Existing Jupyter Server: I chose Environments -> Python 3.11.6: Because I didn't know of a Jupyter Server URL that MS Fabric provides.Sep 15, 2022 · 325k 104 962 936. Add a comment. 50. In Pycharm the col function and others are flagged as "not found". a workaround is to import functions and call the col function from there. for example: from pyspark.sql import functions as F df.select (F.col ("my_column")) Share. Improve this answer. 1. Check PySpark Installation is Right Sometimes you may have issues in PySpark installation hence you will have errors while importing libraries in Python. Post …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:Mar 21, 2016 · Thanks for help. I am using scala for development and when i used SaveMode.ErrorIfExists , it is not working but mode as "error" it works perfectly. Apache Spark SQL documentations says that SaveMode.ErrorIfExists is accepted for scala/java which does not seems to happen. Any idea? – SparkSession.builder.master("local").appName("Detecting-Malicious-URL App") .config("spark.some.config.option", "some-value") To overcome this error …Jun 23, 2015 · That would fix it but next you might get NameError: name 'IntegerType' is not defined or NameError: name 'StringType' is not defined .. To avoid all of that just do: from pyspark.sql.types import *. Alternatively import all the types you require one by one: from pyspark.sql.types import StructType, IntegerType, StringType. Aug 21, 2019 · I m executing the below code and using Pyhton in notebook and it appears that the col() function is not getting recognized . I want to know if the col() function belongs to any specific Dataframe library or Python library .I dont want to use pyspark api and would like to write code using sql datafra... Solution 2: Use alias for the col function. If you want to use another name for the “col” function, you can import it with an alias by using the following line at the top or beginning of your script. For example: from pyspark.sql.functions import col as column. This solution allows you to use the column function in your code instead of ...try: # Python 2 forward compatibility range = xrange except NameError: pass # Python 2 code transformed from range (...) -> list (range (...)) and # xrange (...) -> range (...). The latter is preferable for codebases that want to aim to be Python 3 compatible only in the long run, it is easier to then just use Python 3 syntax whenever possible ...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 …Run 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 …"NameError: name 'token' is not defined. I am writing a token generator, (like a password generator) and I made a function called buy_tokens(token). Even after the function, it does not read the parameter that is passed in the buy_token function. To understand better, read the code:Yes, I have. INSTALLED_APPS= ['rest_framework'] django restframework is already installed and I have added both est_framework and my application i.e. restapp in INSTALLED_APPS too. first of all change you class name to uppercase Employee, and you are using ModelSerializer, why you using esal=serializers.FloatField (required=False), …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.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.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 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 …Feb 17, 2022 · I am trying to use Delta lake on Zeppelin running on EMR. Below is my simple bootstrap script, I am using spark-delta 0.0.1 as spark version on EMR is 2.4.4. When I try to create spark session in notebook I below exception. 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 …Replace “/path/to/spark” with the actual path where Spark is installed on your system. 3. Setting Environment Variables. Check if you have set the SPARK_HOME environment variable. Post Spark/PySpark installation you need to set the SPARK_HOME environment variable with the installationpyspark : NameError: name 'spark' is not defined. 1 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 ...4. This issue could be solved by two ways. If you try to find the Null values from your dataFrame you should use the NullType. Like this: if type (date_col) == NullType. Or you can find if the date_col is None like this: if date_col is None. I hope this help.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.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? 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. I'm doing a word count program in PySpark, but every time I go to run it, I get the following error: NameError: global name 'lower' is not defined These two lines are what's giving me the proble...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 …This is great for renaming a few columns. See my answer for a solution that can programatically rename columns. Say you have 200 columns and you'd like to rename 50 of them that have a certain type of column name and leave the other 150 unchanged.要解决NameError: name ‘spark’ is not defined错误，我们需要确保在使用PySpark之前正确初始化SparkSession，并使用正确的变量名（spark）。 以下是正确初始 …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 DatabricksSorted by: 59. You've imported datetime, but not defined timedelta. You want either: from datetime import timedelta. or: subtract = datetime.timedelta (hours=options.goback) Also, your goback parameter is defined as a string, but then you pass it to timedelta as the number of hours. You'll need to convert it to an integer, or …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.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 ...NameError: name 'countryCodeMap' is not defined. I am trying to implement a Spark program in a Databricks Cluster and I am following the documentation whose link is as follows: def mapKeyToVal (mapping): def mapKeyToVal_ (col): return mapping.get (col) return udf (mapKeyToVal_, StringType ())I have a function all_purch_spark() that sets a Spark Context as well as SQL Context for five different tables. The same function then successfully runs a sql query against an AWS Redshift DB. ... NameError: name 'sqlContext' is not defined ...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 …Jun 23, 2015 · That would fix it but next you might get NameError: name 'IntegerType' is not defined or NameError: name 'StringType' is not defined .. To avoid all of that just do: from pyspark.sql.types import *. Alternatively import all the types you require one by one: from pyspark.sql.types import StructType, IntegerType, StringType.
I have a function all_purch_spark() that sets a Spark Context as well as SQL Context for five different tables. The same function then successfully runs a sql query against an AWS Redshift DB. ... NameError: name 'sqlContext' is not defined .... 1pm 2pm pt
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 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 …1. Check PySpark Installation is Right Sometimes you may have issues in PySpark installation hence you will have errors while importing libraries in Python. Post …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 errorYou'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. AndersonWhen 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 ...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 ...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.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: 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.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")))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) …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 DatabricksPyspark offical website Why the Nameerror: name ‘spark’ is not defined Now let us know the some causes for getting the Nameerror: name ‘spark’ error. Cause 1: Misspelled …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 …Apr 25, 2023 · NameError: Name ‘Spark’ is not Defined. Naveen (NNK) PySpark. April 25, 2023. 3 mins read. Problem: When I am using spark.createDataFrame () I am getting NameError: Name 'Spark' is not Defined, if I use the same in Spark or PySpark shell it works without issue. Note that ISODate is a part of MongoDB and is not available in your case. You should be using Date instead and the MongoDB drivers(e.g. the Mongoose ORM that you are currently using) will take care of the type conversion between Date and ISODate behind the scene.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()Note that ISODate is a part of MongoDB and is not available in your case. You should be using Date instead and the MongoDB drivers(e.g. the Mongoose ORM that you are currently using) will take care of the type conversion between Date and ISODate behind the scene.Note that ISODate is a part of MongoDB and is not available in your case. You should be using Date instead and the MongoDB drivers(e.g. the Mongoose ORM that you are currently using) will take care of the type conversion between Date and ISODate behind the scene..
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