Add pastum.libraryDeclaration config option

CHANGELOG.md

@@ -1,9 +1,16 @@
-# Change Log
-
-All notable changes to the "pastum" extension will be documented in this file.
+# Changelog
 
 <!-- Check [Keep a Changelog](http://keepachangelog.com/) for recommendations on how to structure this file. -->
 
+## Development version
+
+### Added
+
+- Markdown table support (thanks to @juarezr)
+- TSV and CSV table support (thanks to @juarezr)
+- `pastum.libraryDeclaration` configuration option, which allows the user to add library declaration to the pasted dataframe. (#18)
+- `pastum.airFormat` configuration option, which allows the user to add comment to skip air formatting in R. (#16)
+
 ## [0.2.1] - 2024-11-02
 
 ### Added

package.json

@@ -103,6 +103,11 @@
           "default": true,
           "markdownDescription": "Show the `Pastum: paste as default dataframe` command in the editor context menu *(i.e., right-click menu)*. It will only appear in R, Python, and Julia editors. The dataframe will be pasted according to the specified `pastum.defaultDataframeR` and `pastum.defaultDataframePy`."
         },
+        "pastum.libraryDeclaration": {
+          "type": "boolean",
+          "default": true,
+          "markdownDescription": "Add library declaration to the pasted dataframe. (i.e., `import pandas as pd`) before the pasted dataframe."
+        },
         "pastum.airFormat": {
           "type": "boolean",
           "default": true,

src/paste-js.js

@@ -62,6 +62,8 @@ async function clipboardToJSDataFrame(framework = null) {
  */
 function createJSDataFrame(tableData, framework) {
   const { headers, data, columnTypes } = tableData;
+  const config = vscode.workspace.getConfiguration("pastum");
+  const libraryDeclaration = config.get("libraryDeclaration");
   let code = "";
 
   /**
@@ -100,7 +102,7 @@ function createJSDataFrame(tableData, framework) {
     });
     code += `};`;
   } else if (framework === "polars") {
-    code = `import pl from "nodejs-polars";\n\n`;
+    code = libraryDeclaration ? `import pl from "nodejs-polars";\n\n` : "";
     code += `const df = pl.DataFrame({\n`;
     headers.forEach((header, i) => {
       const values = data.map((row) => formatValue(row[i], i)).join(", ");
@@ -110,7 +112,7 @@ function createJSDataFrame(tableData, framework) {
     });
     code += `});`;
   } else if (framework === "arquero") {
-    code = `import {table} from "arquero";\n\n`;
+    code = libraryDeclaration ? `import {table} from "arquero";\n\n` : "";
     code += `const df = table({\n`;
     headers.forEach((header, i) => {
       const values = data.map((row) => formatValue(row[i], i)).join(", ");
@@ -120,7 +122,7 @@ function createJSDataFrame(tableData, framework) {
     });
     code += `});`;
   } else if (framework === "danfo") {
-    code = `import * as dfd from "danfojs-node";\n\n`;
+    code = libraryDeclaration ? `import * as dfd from "danfojs-node";\n\n` : "";
     code += `obj_data = {\n`;
     headers.forEach((header, i) => {
       const values = data.map((row) => formatValue(row[i], i)).join(", ");

src/paste-julia.js

@@ -66,14 +66,15 @@ function createJuliaDataFrame(tableData) {
   }
 
   const { headers, data, columnTypes } = tableData;
-  let code = `using DataFrames\n\n`;
+  const config = vscode.workspace.getConfiguration("pastum");
+  const libraryDeclaration = config.get("libraryDeclaration");
+  let code = libraryDeclaration ? `using DataFrames\n\n` : "";
 
   code += `DataFrame(\n`;
   headers.forEach((header, i) => {
     const values = data.map((row) => formatValue(row[i], i)).join(", ");
-    code += `    :${header} => [${values}]${
-      i < headers.length - 1 ? ",\n" : "\n"
-    }`;
+    code += `    :${header} => [${values}]${i < headers.length - 1 ? ",\n" : "\n"
+      }`;
   });
   code += `)`;
 

src/paste-python.js

@@ -63,6 +63,8 @@ async function clipboardToPyDataFrame(framework = null) {
  */
 function createPyDataFrame(tableData, framework) {
   const { headers, data, columnTypes } = tableData;
+  const config = vscode.workspace.getConfiguration("pastum");
+  const libraryDeclaration = config.get("libraryDeclaration");
   let code = "";
 
   /**
@@ -89,33 +91,30 @@ function createPyDataFrame(tableData, framework) {
 
   // pandas
   if (framework === "pandas") {
-    code = `import pandas as pd\n\n`;
+    code = libraryDeclaration ? `import pandas as pd\n\n` : "";
     code += `pd.DataFrame({\n`;
     headers.forEach((header, i) => {
       const values = data.map((row) => formatValue(row[i], i)).join(", ");
-      code += `    "${header}": [${values}]${
-        i < headers.length - 1 ? ",\n" : "\n"
-      }`;
+      code += `    "${header}": [${values}]${i < headers.length - 1 ? ",\n" : "\n"
+        }`;
     });
     code += `})`;
   } else if (framework === "datatable") {
-    code = `import datatable as dt\n\n`;
+    code = libraryDeclaration ? `import datatable as dt\n\n` : "";
     code += `dt.Frame({\n`;
     headers.forEach((header, i) => {
       const values = data.map((row) => formatValue(row[i], i)).join(", ");
-      code += `    "${header}": [${values}]${
-        i < headers.length - 1 ? ",\n" : "\n"
-      }`;
+      code += `    "${header}": [${values}]${i < headers.length - 1 ? ",\n" : "\n"
+        }`;
     });
     code += `})`;
   } else if (framework === "polars") {
-    code = `import polars as pl\n\n`;
+    code = libraryDeclaration ? `import polars as pl\n\n` : "";
     code += `pl.DataFrame({\n`;
     headers.forEach((header, i) => {
       const values = data.map((row) => formatValue(row[i], i)).join(", ");
-      code += `    "${header}": [${values}]${
-        i < headers.length - 1 ? ",\n" : "\n"
-      }`;
+      code += `    "${header}": [${values}]${i < headers.length - 1 ? ",\n" : "\n"
+        }`;
     });
     code += `})`;
   }