android:label="${k_appName}"比如这种方式,我应该从哪里去找到k_appName的值?
时间: 2024-03-30 20:37:12 浏览: 119
`${k_appName}` 是一个 AndroidManifest.xml 文件中的字符串资源引用,它表示一个字符串资源的名称。你可以在项目的 /app/src/main/res/values/strings.xml 文件中找到这个字符串资源,并且可以通过在该文件中修改该字符串资源的值来改变 `${k_appName}` 表示的值。
相关问题
检查一下这段代码import pandas as pd import numpy as np if __name__ == '__main__': spark = SparkSession.builder.\ appName("test").\ master("local[*]").\ getOrCreate() sc = spark.sparkContext pf = pd.DataFrame({'id':[1,2,3], 'name':'lala', 'lili':'cici', 'age':[22,33,20]}) df = spark.createDataFrame(pf) df.printSchema() df.show()
This code will create a Spark DataFrame based on a Pandas DataFrame.
Here's a breakdown of what each line does:
- `import pandas as pd`: import the Pandas library and alias it as `pd`.
- `import numpy as np`: import the NumPy library and alias it as `np`.
- `if __name__ == '__main__':`: this is a common Python idiom that checks if the script is being run as the main program.
- `spark = SparkSession.builder.\ appName("test").\ master("local[*]").\ getOrCreate()`: create a SparkSession object with the app name "test" and set the master to run locally using all available cores.
- `sc = spark.sparkContext`: get the SparkContext object from the SparkSession.
- `pf = pd.DataFrame({'id':[1,2,3], 'name':'lala', 'lili':'cici', 'age':[22,33,20]})`: create a Pandas DataFrame with four columns: 'id', 'name', 'lili', and 'age'.
- `df = spark.createDataFrame(pf)`: create a Spark DataFrame from the Pandas DataFrame.
- `df.printSchema()`: print the schema of the Spark DataFrame.
- `df.show()`: show the contents of the Spark DataFrame.
Overall, this code should work fine as long as you have Spark and Pandas installed and you're running it in a Spark environment.
thread_name":"http-nio-8082-exec-4","level":"INFO","level_value":20000,"SPRING_APP_NAME":"tbproduct","appname":"tbproduct"}
根据你提供的信息,"thread_name":"http-nio-8082-exec-4","level":"INFO","level_value":20000,"SPRING_APP_NAME":"tbproduct","appname":"tbproduct",这是一个日志记录的信息。其中,"thread_name"表示线程名称,"level"表示日志级别,"SPRING_APP_NAME"和"appname"表示应用程序名称。
相关问题:
1. 什么是线程名称?
2. 什么是日志级别?
3. 为什么需要记录应用程序名称?
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