isnull

问题 I have seen How to suppress "error TS2533: Object is possibly 'null' or 'undefined'"?. And other things. This is not a duplicate! There are like 3 different ways to suppress this error. I do not want what. I do not want to disable strict null types either. I want a proper solution to code this properly. Can I create a new type that is the same as HTMLElement and Element just without null? What will happen at run-time if they are actually null and I just suppress the warning in TS. It feels

问题 Question: How to check if a public gameObject of a MonoBehaviour has been assigned in the inspector in Unity3D, as the comparison for null (object==null) fails. Concrete Example: I am about to write a generic method for Unity3D, that can be called on any nullable object. It checks if the object is null and if so it writes a Debug.LogError(customMessage) . The Method looks like as follows: public static bool IsNull<T>([CanBeNull] this T myObject, string message = "") { if (myObject!= null)

问题 Question: How to check if a public gameObject of a MonoBehaviour has been assigned in the inspector in Unity3D, as the comparison for null (object==null) fails. Concrete Example: I am about to write a generic method for Unity3D, that can be called on any nullable object. It checks if the object is null and if so it writes a Debug.LogError(customMessage) . The Method looks like as follows: public static bool IsNull<T>([CanBeNull] this T myObject, string message = "") { if (myObject!= null)

问题 Question: How to check if a public gameObject of a MonoBehaviour has been assigned in the inspector in Unity3D, as the comparison for null (object==null) fails. Concrete Example: I am about to write a generic method for Unity3D, that can be called on any nullable object. It checks if the object is null and if so it writes a Debug.LogError(customMessage) . The Method looks like as follows: public static bool IsNull<T>([CanBeNull] this T myObject, string message = "") { if (myObject!= null)

来源： https://stackoverflow.com/questions/16355169/django-filtering-queryset-by-field-isnull-true-or-field-none

来源： https://stackoverflow.com/questions/16355169/django-filtering-queryset-by-field-isnull-true-or-field-none

问题 I got a very simple query which shows significant performance difference when running on Spark SQL and Presto (3 hrs v.s 3 mins) in the same hardware. SELECT field FROM test1 WHERE field NOT IN (SELECT field FROM test2) After some research of the query plan, I found out the reason is how Spark SQL deals with NOT IN predicate subquery. To correctly handle the NULL of NOT IN, Spark SQL translate the NOT IN predicate as Left AntiJoin( (test1=test2) OR isNULL(test1=test2)) . Spark SQL introduces

问题 I am using a custom function in pyspark to check a condition for each row in a spark dataframe and add columns if condition is true. The code is as below: from pyspark.sql.types import * from pyspark.sql.functions import * from pyspark.sql import Row def customFunction(row): if (row.prod.isNull()): prod_1 = "new prod" return (row + Row(prod_1)) else: prod_1 = row.prod return (row + Row(prod_1)) sdf = sdf_temp.map(customFunction) sdf.show() I get the error mention below: AttributeError:

问题 I have a data frame with some columns with empty lists and others with lists of strings: donation_orgs donation_context 0 [] [] 1 [the research of Dr. ...] [In lieu of flowers , memorial donations ...] I'm trying to return a data set without any of the rows where there are empty lists. I've tried just checking for null values: dfnotnull = df[df.donation_orgs != []] dfnotnull and dfnotnull = df[df.notnull().any(axis=1)] pd.options.display.max_rows=500 dfnotnull And I've tried looping through

问题 I have a data frame with some columns with empty lists and others with lists of strings: donation_orgs donation_context 0 [] [] 1 [the research of Dr. ...] [In lieu of flowers , memorial donations ...] I'm trying to return a data set without any of the rows where there are empty lists. I've tried just checking for null values: dfnotnull = df[df.donation_orgs != []] dfnotnull and dfnotnull = df[df.notnull().any(axis=1)] pd.options.display.max_rows=500 dfnotnull And I've tried looping through