Showing posts with the label plsql

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How to Check Column Nulls and Replace: Pandas

Here is a post that shows how to count Nulls and replace them with the value you want in the Pandas Dataframe. We have explained the process in two steps - Counting and Replacing the Null values. Count null values (column-wise) in Pandas ## count null values column-wise null_counts = df.isnull(). sum() print(null_counts) ``` Output: ``` Column1    1 Column2    1 Column3    5 dtype: int64 ``` In the above code, we first create a sample Pandas DataFrame `df` with some null values. Then, we use the `isnull()` function to create a DataFrame of the same shape as `df`, where each element is a boolean value indicating whether that element is null or not. Finally, we use the `sum()` function to count the number of null values in each column of the resulting DataFrame. The output shows the count of null values column-wise. to count null values column-wise: ``` df.isnull().sum() ``` ##Code snippet to count null values row-wise: ``` df.isnull().sum(axis=1) ``` In the above code, `df` is the Panda

SQL PLSQL Top Reserved Keywords

To become perfect in PL/SQL is an art. Knowing of top reserved words helps you to be a master in SQL. Before you start knowing reserved words, wait one moment. The reserved words are similar to the words that you use in normal SQL. SQL, PLSQL Reserved Words PL/SQL Reserved Words A Video on Basic PL/SQL Basic PL/SQL Video Lesson for all professionals. Related Posts 32 Complex SQL Queries popular e-book Introduction to SQL and PLSQL by Ruchin Jain