convert *_csv to *CSV, *_json to *JSON

Author: andrew.wong

api-reference/dataframe/dataframe.to_csv.md

@@ -69,7 +69,7 @@ Abs,Count,country code
         
         let df = new dfd.DataFrame(data);
         
-        const csv = df.to_csv({ download: false });
+        const csv = df.toCSV({ download: false });
         console.log(csv);
     </script>
 </body>

api-reference/dataframe/dataframe.to_json.md

@@ -82,7 +82,7 @@ console.log(jsonObjRow);
         
         let df = new dfd.DataFrame(data);
         
-        const csv = df.to_csv({ download: false });
+        const csv = df.toCSV({ download: false });
         console.log(csv);
     </script>
 </body>

api-reference/input-output/README.md

@@ -8,11 +8,11 @@ description: Functions for reading tabular/structured data into DataFrame/Series
 
 | \`\`                                |                                                          |
 | ----------------------------------- | -------------------------------------------------------- |
-| [`read_csv`](danfo.read_csv.md)     | Read a comma-separated values (csv) file into DataFrame. |
+| [`readCSV`](danfo.read_csv.md)     | Read a comma-separated values (csv) file into DataFrame. |
 | [`read_excel`](danfo.read_excel.md) | Read an Excel values (xlsx) file into DataFrame.         |
-| [`read_json`](danfo.read_json.md)   | Read a JSON values (json) file into DataFrame.           |
-| [to_csv](danfo.to_csv.md)           | Writes a DataFrame/Series to CSV file                    |
+| [`readJSON`](danfo.read_json.md)   | Read a JSON values (json) file into DataFrame.           |
+| [toCSV](danfo.to_csv.md)           | Writes a DataFrame/Series to CSV file                    |
 | [to_excel](danfo.to_excel.md)       | Writes a DataFrame/Series to Excel file                  |
-| [to_json](danfo.to_json.md)         | Writes a DataFrame/Series to JSON file                   |
+| [toJSON](danfo.to_json.md)         | Writes a DataFrame/Series to JSON file                   |
 
-Writing to `CSV` and `JSON` can also be done directly from DataFrame or Series objects (e.g. [`DataFrame.to_csv()`](../dataframe/dataframe.to_csv.md))
+Writing to `CSV` and `JSON` can also be done directly from DataFrame or Series objects (e.g. [`DataFrame.toCSV()`](../dataframe/dataframe.to_csv.md))

api-reference/plotting/violin-plots.md

@@ -122,7 +122,7 @@ export default App;
     <div id="plot_div"></div>
     <script>
 
-          dfd.read_csv("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
+          dfd.readCSV("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
             .then(df => {
 
                 sub_df = df.loc({ columns: ["Age", "Fare"] })

examples/titanic-survival-prediction-using-danfo.js-and-tensorflow.js.md

@@ -77,7 +77,7 @@ async function load_process_data() {
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
-You wrote an async function because loading a dataset over the internet takes a few seconds depending on your network. Inside the async function, you pass in the url of the titanic dataset to the read\_csv function.
+You wrote an async function because loading a dataset over the internet takes a few seconds depending on your network. Inside the async function, you pass in the url of the titanic dataset to the readCSV function.
 
 Next you'll perform some basic data preprocessing. The [ctypes](../api-reference/dataframe/dataframe.dtypes.md) attribute returns the column data types:
 

getting-started.md

@@ -2368,7 +2368,7 @@ dfd.readCSV("/home/Desktop/titanic.csv")
 
     <script>
 
-         dfd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv")
+         dfd.readCSV("https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv")
             .then(df => {
 
                 //do something like display descriptive statistics