Merge 57ed06f79b7c5c77477fbcadb064370a203de6de into 6e0ea441e40395ce5e8fe5a1b22d7829a0adb583

README.md

@@ -98,101 +98,3 @@ assert!(check);
 
 
 ```
-
----
-
-## DataFrame Usage Example
-
-```rust
-use rustframe::{
-    dataframe::{DataFrame, TypedFrame, DataFrameColumn},
-    frame::{Frame, RowIndex},
-    matrix::Matrix,
-};
-
-// Helper to create a simple f64 TypedFrame (similar to test helpers)
-fn create_f64_typed_frame(name: &str, data: Vec<f64>, index: Option<RowIndex>) -> TypedFrame {
-    let rows = data.len();
-    let matrix = Matrix::from_cols(vec![data]);
-    let frame_index = index.unwrap_or(RowIndex::Range(0..rows));
-    TypedFrame::F64(Frame::new(
-        matrix,
-        vec![name.to_string()],
-        Some(frame_index),
-    ))
-}
-
-// Helper to create a simple i64 TypedFrame
-fn create_i64_typed_frame(name: &str, data: Vec<i64>, index: Option<RowIndex>) -> TypedFrame {
-    let rows = data.len();
-    let matrix = Matrix::from_cols(vec![data]);
-    let frame_index = index.unwrap_or(RowIndex::Range(0..rows));
-    TypedFrame::I64(Frame::new(
-        matrix,
-        vec![name.to_string()],
-        Some(frame_index),
-    ))
-}
-
-// Helper to create a simple String TypedFrame
-fn create_string_typed_frame(
-    name: &str,
-    data: Vec<String>,
-    index: Option<RowIndex>,
-) -> TypedFrame {
-    let rows = data.len();
-    let matrix = Matrix::from_cols(vec![data]);
-    let frame_index = index.unwrap_or(RowIndex::Range(0..rows));
-    TypedFrame::String(Frame::new(
-        matrix,
-        vec![name.to_string()],
-        Some(frame_index),
-    ))
-}
-
-fn main() {
-    // 1. Create a DataFrame with different data types
-    let col_a = create_f64_typed_frame("A", vec![1.0, 2.0, 3.0], None);
-    let col_b = create_i64_typed_frame("B", vec![10, 20, 30], None);
-    let col_c = create_string_typed_frame(
-        "C",
-        vec!["apple".to_string(), "banana".to_string(), "cherry".to_string()],
-        None,
-    );
-
-    let mut df = DataFrame::new(
-        vec![col_a, col_b, col_c],
-        vec!["A".to_string(), "B".to_string(), "C".to_string()],
-        None,
-    );
-
-    println!("Initial DataFrame:\n{:?}", df);
-    println!("Columns: {:?}", df.columns());
-    println!("Rows: {}", df.rows());
-
-    // 2. Accessing columns
-    if let DataFrameColumn::F64(col_a_data) = df.column("A") {
-        println!("Column 'A' (f64): {:?}", col_a_data);
-    }
-
-    if let DataFrameColumn::String(col_c_data) = df.column("C") {
-        println!("Column 'C' (String): {:?}", col_c_data);
-    }
-
-    // 3. Add a new column
-    let new_col_d = create_f64_typed_frame("D", vec![100.0, 200.0, 300.0], None);
-    df.add_column("D".to_string(), new_col_d);
-    println!("\nDataFrame after adding column 'D':\n{:?}", df);
-    println!("Columns after add: {:?}", df.columns());
-
-    // 4. Rename a column
-    df.rename_column("A", "Alpha".to_string());
-    println!("\nDataFrame after renaming 'A' to 'Alpha':\n{:?}", df);
-    println!("Columns after rename: {:?}", df.columns());
-
-    // 5. Delete a column
-    let _deleted_col_b = df.delete_column("B");
-    println!("\nDataFrame after deleting column 'B':\n{:?}", df);
-    println!("Columns after delete: {:?}", df.columns());
-}
-```

src/dataframe/mod.rs

@@ -1,4 +1,2 @@
 //! This module provides the DataFrame structure for handling tabular data with mixed types.
 pub mod df;
-
-pub use df::{DataFrame, DataFrameColumn, TypedFrame};