Posts

Showing posts with the label errors

Featured Post

Top Questions People Ask About Pandas, NumPy, Matplotlib & Scikit-learn — Answered!

-
Image
 Whether you're a beginner or brushing up on your skills, these are the real-world questions Python learners ask most about key libraries in data science. Let’s dive in! 🐍 🐼 Pandas: Data Manipulation Made Easy 1. How do I handle missing data in a DataFrame? df.fillna( 0 ) # Replace NaNs with 0 df.dropna() # Remove rows with NaNs df.isna(). sum () # Count missing values per column 2. How can I merge or join two DataFrames? pd.merge(df1, df2, on= 'id' , how= 'inner' ) # inner, left, right, outer 3. What is the difference between loc[] and iloc[] ? loc[] uses labels (e.g., column names) iloc[] uses integer positions df.loc[ 0 , 'name' ] # label-based df.iloc[ 0 , 1 ] # index-based 4. How do I group data and perform aggregation? df.groupby( 'category' )[ 'sales' ]. sum () 5. How can I convert a column to datetime format? df[ 'date' ] = pd.to_datetime(df[ 'date' ]) ...
Post a Comment
Read more

PL SQL: How to Fix Errors

-
Image
PL/SQL is procedural language, and the PL/SQL procedures you can call from any high-level language. This is depending on your project requirement. PL SQL  How to prevent some common errors or exceptions while writing PL/SQL procedures in your project. The number one and primary one is assigning variables non-numeric to numeric. This is one kind of area where you need to look in while writing PL/SQL procedure. PL/SQL is nothing but an invitation for trouble. They are all centered on data types and implicit conversion. What's implicit conversion? Let's say you have number held in a varchar2 data type variable, v_value. You try assigning n_value, a number data type variable, that value with the following line of code:n_value := v_value; That should work, right? Yes, it should, but when it doesn't, because you don't actually have a numeric literal stored in variable v_value, the implicit data type conversion will raise an "unexpected" exception in...
Post a Comment
Read more