diff --git a/Cargo.toml b/Cargo.toml
index 948320d..30420a6 100644
--- a/Cargo.toml
+++ b/Cargo.toml
@@ -9,8 +9,8 @@ rustdoc = ["--cfg", "doc"]
 
 [lib]
 name = "msyrs"
-# path = "src/lib.rs"
-crate-type = ["cdylib"]
+path = "src/lib.rs"
+crate-type = ["cdylib", "lib"]
 
 
 [dependencies]
diff --git a/src/utils/qdf/pivots.rs b/src/utils/qdf/pivots.rs
index 7d6bbb3..ed110d0 100644
--- a/src/utils/qdf/pivots.rs
+++ b/src/utils/qdf/pivots.rs
@@ -10,6 +10,15 @@ use std::f32::consts::E;
 /// The required columns for a Quantamental DataFrame.
 const QDF_INDEX_COLUMNS: [&str; 3] = ["real_date", "cid", "xcat"];
 
+#[allow(dead_code)]
+fn get_ticker_from_qdf(df: &DataFrame) -> Result<String, Box<dyn Error>> {
+    check_quantamental_dataframe(df)?;
+    let cid = df.column("cid")?.get(0).unwrap().to_string();
+    let xcat = df.column("xcat")?.get(0).unwrap().to_string();
+    let ticker = format!("{}_{}", cid, xcat);
+    Ok(ticker)
+}
+
 /// Pivots a dataframe to a format where each ticker a column.
 #[allow(dead_code)]
 pub fn pivot_dataframe_by_ticker(
@@ -27,7 +36,8 @@ pub fn pivot_dataframe_by_ticker(
         // set metric to the first non-index column
         metric = df.get_column_names()[3].to_string();
     }
-    let unique_dates: Column = get_unique_dates(&df)?;
+    let mut unique_dates: Column = get_unique_dates(&df)?;
+    unique_dates.rename("real_date".into());
 
     // keep only the index columns and the metric column
     let mut keep_cols = QDF_INDEX_COLUMNS
@@ -38,18 +48,21 @@ pub fn pivot_dataframe_by_ticker(
     keep_cols.push(metric.clone());
 
     let mut out_dfs = split_df_by_tickers(&df, Some(vec![metric.clone()]))?;
-    for (_, odf) in out_dfs.iter_mut() {
-        // select keep_cols
-        *odf = odf.select(vec!["real_date", &*metric.clone()])?;
+    for (tkr, odf) in out_dfs.iter_mut() {
+        odf.rename(&metric, tkr.into())?;
+        *odf = odf.select(vec!["real_date", tkr])?;
     }
 
-    // create a new dataframe with the unique dates, and iteratively add add the metric columns
+    // create a new dataframe with the unique dates
+
     let mut new_df = DataFrame::new(vec![unique_dates])?;
 
-    for (_, odf) in out_dfs.iter() {
+    for (_, odf) in out_dfs.iter_mut() {
         new_df = new_df.left_join(odf, ["real_date"], ["real_date"])?;
     }
 
+    // left join all dataframes on the date column
+
     Ok(new_df)
 }