From 477040df86cf7f933f6252682e0442ec95acd3b2 Mon Sep 17 00:00:00 2001
From: "andrew.wong" <sywong.andrew@gmail.com>
Date: Thu, 4 May 2023 15:18:52 +0100
Subject: [PATCH 1/2] convert *_csv to *CSV, *_json to *JSON

---
 api-reference/dataframe/dataframe.to_csv.md            |  2 +-
 api-reference/dataframe/dataframe.to_json.md           |  2 +-
 api-reference/input-output/README.md                   | 10 +++++-----
 api-reference/plotting/violin-plots.md                 |  2 +-
 ...ival-prediction-using-danfo.js-and-tensorflow.js.md |  2 +-
 getting-started.md                                     |  2 +-
 6 files changed, 10 insertions(+), 10 deletions(-)

diff --git a/api-reference/dataframe/dataframe.to_csv.md b/api-reference/dataframe/dataframe.to_csv.md
index 9791120..b4429c0 100644
--- a/api-reference/dataframe/dataframe.to_csv.md
+++ b/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>
diff --git a/api-reference/dataframe/dataframe.to_json.md b/api-reference/dataframe/dataframe.to_json.md
index 2f1a3f5..320170e 100644
--- a/api-reference/dataframe/dataframe.to_json.md
+++ b/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>
diff --git a/api-reference/input-output/README.md b/api-reference/input-output/README.md
index e86d5de..310be54 100644
--- a/api-reference/input-output/README.md
+++ b/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))
diff --git a/api-reference/plotting/violin-plots.md b/api-reference/plotting/violin-plots.md
index 73ba658..0ccb71b 100644
--- a/api-reference/plotting/violin-plots.md
+++ b/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"] })
diff --git a/examples/titanic-survival-prediction-using-danfo.js-and-tensorflow.js.md b/examples/titanic-survival-prediction-using-danfo.js-and-tensorflow.js.md
index a109541..24eb1b8 100644
--- a/examples/titanic-survival-prediction-using-danfo.js-and-tensorflow.js.md
+++ b/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:
 
diff --git a/getting-started.md b/getting-started.md
index 0aabc1a..9daf3a8 100644
--- a/getting-started.md
+++ b/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

From 0a4dd1ca3bc252b47e0dd37cbb0542da882901a7 Mon Sep 17 00:00:00 2001
From: "andrew.wong" <sywong.andrew@gmail.com>
Date: Thu, 4 May 2023 15:29:56 +0100
Subject: [PATCH 2/2] change group.cum<lower_case> to group.cum<camelCase>

---
 SUMMARY.md                                    |  8 ++++----
 .../dataframe/danfo.dataframe.cumsum.md       |  2 +-
 .../dataframe/danfo.dataframe.groupby.md      |  2 +-
 api-reference/groupby.md                      | 20 +++++++++----------
 api-reference/groupby/README.md               |  8 ++++----
 api-reference/groupby/groupby.cummax.md       |  4 ++--
 api-reference/groupby/groupby.cummin.md       |  6 +++---
 api-reference/groupby/groupby.cumprod.md      |  8 ++++----
 api-reference/groupby/groupby.cumsum.md       |  4 ++--
 9 files changed, 31 insertions(+), 31 deletions(-)

diff --git a/SUMMARY.md b/SUMMARY.md
index 303cc26..f9fe653 100644
--- a/SUMMARY.md
+++ b/SUMMARY.md
@@ -212,10 +212,10 @@
     * [Groupby.std](api-reference/groupby/groupby.std.md)
     * [Groupby.var](api-reference/groupby/groupby.var.md)
     * [Groupby.count](api-reference/groupby/groupby.count.md)
-    * [Groupby.cumsum](api-reference/groupby/groupby.cumsum.md)
-    * [Groupby.cummax](api-reference/groupby/groupby.cummax.md)
-    * [Groupby.cummin](api-reference/groupby/groupby.cummin.md)
-    * [Groupby.cumprod](api-reference/groupby/groupby.cumprod.md)
+    * [Groupby.cumSum](api-reference/groupby/groupby.cumsum.md)
+    * [Groupby.cumMax](api-reference/groupby/groupby.cummax.md)
+    * [Groupby.cumMin](api-reference/groupby/groupby.cummin.md)
+    * [Groupby.cumProd](api-reference/groupby/groupby.cumprod.md)
     * [Groupby.agg](api-reference/groupby/groupby.agg.md)
 * [User Guides](examples/README.md)
   * [Migrating to the stable version of Danfo.js](examples/migrating-to-the-stable-version-of-danfo.js.md)
diff --git a/api-reference/dataframe/danfo.dataframe.cumsum.md b/api-reference/dataframe/danfo.dataframe.cumsum.md
index a2585fe..ce997aa 100644
--- a/api-reference/dataframe/danfo.dataframe.cumsum.md
+++ b/api-reference/dataframe/danfo.dataframe.cumsum.md
@@ -64,7 +64,7 @@ data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
 cols = ["A", "B", "C"]
 
 let df = new dfd.DataFrame(data, { columns: cols })
-let new_df = df.cumsum({ axis: 1 })
+let new_df = df.cumSum({ axis: 1 })
 
 new_df.print()
 ```
diff --git a/api-reference/dataframe/danfo.dataframe.groupby.md b/api-reference/dataframe/danfo.dataframe.groupby.md
index b0adffc..30f4721 100644
--- a/api-reference/dataframe/danfo.dataframe.groupby.md
+++ b/api-reference/dataframe/danfo.dataframe.groupby.md
@@ -65,7 +65,7 @@ A groupby operation will return a GroupBy class object. You can apply any of the
 6. [cumSum](danfo.dataframe.cumsum.md)
 7. [cumMax](danfo.dataframe.cummax.md)
 8. [cumProd](danfo.dataframe.cumprod.md)
-9. [cummin](danfo.dataframe.cummin.md)
+9. [cumMin](danfo.dataframe.cummin.md)
 10. [max](danfo.dataframe.max.md)
 11. [min](danfo.dataframe.min.md)
 
diff --git a/api-reference/groupby.md b/api-reference/groupby.md
index 1db2e52..50a8170 100644
--- a/api-reference/groupby.md
+++ b/api-reference/groupby.md
@@ -37,11 +37,11 @@ description: >-
 | [`GroupBy.bfill`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.bfill.html#pandas.core.groupby.GroupBy.bfill)\(\[limit\]\) | Backward fill the values. |
 | [`GroupBy.backfill`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.backfill.html#pandas.core.groupby.GroupBy.backfill)\(\[limit\]\) | Backward fill the values. |
 | [`GroupBy.count`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.count.html#pandas.core.groupby.GroupBy.count)\(\) | Compute count of group, excluding missing values. |
-| [`GroupBy.cumcount`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.cumcount.html#pandas.core.groupby.GroupBy.cumcount)\(\[ascending\]\) | Number each item in each group from 0 to the length of that group - 1. |
-| [`GroupBy.cummax`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.cummax.html#pandas.core.groupby.GroupBy.cummax)\(\[axis\]\) | Cumulative max for each group. |
-| [`GroupBy.cummin`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.cummin.html#pandas.core.groupby.GroupBy.cummin)\(\[axis\]\) | Cumulative min for each group. |
-| [`GroupBy.cumprod`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.cumprod.html#pandas.core.groupby.GroupBy.cumprod)\(\[axis\]\) | Cumulative product for each group. |
-| [`GroupBy.cumsum`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.cumsum.html#pandas.core.groupby.GroupBy.cumsum)\(\[axis\]\) | Cumulative sum for each group. |
+| [`GroupBy.cumCount`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.cumcount.html#pandas.core.groupby.GroupBy.cumcount)\(\[ascending\]\) | Number each item in each group from 0 to the length of that group - 1. |
+| [`GroupBy.cumMax`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.cummax.html#pandas.core.groupby.GroupBy.cummax)\(\[axis\]\) | Cumulative max for each group. |
+| [`GroupBy.cumMin`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.cummin.html#pandas.core.groupby.GroupBy.cummin)\(\[axis\]\) | Cumulative min for each group. |
+| [`GroupBy.cumProd`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.cumprod.html#pandas.core.groupby.GroupBy.cumprod)\(\[axis\]\) | Cumulative product for each group. |
+| [`GroupBy.cumSum`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.cumsum.html#pandas.core.groupby.GroupBy.cumsum)\(\[axis\]\) | Cumulative sum for each group. |
 | [`GroupBy.ffill`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.ffill.html#pandas.core.groupby.GroupBy.ffill)\(\[limit\]\) | Forward fill the values. |
 | [`GroupBy.first`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.first.html#pandas.core.groupby.GroupBy.first)\(\[numeric\_only, min\_count\]\) | Compute first of group values. |
 | [`GroupBy.head`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.head.html#pandas.core.groupby.GroupBy.head)\(\[n\]\) | Return first n rows of each group. |
@@ -74,11 +74,11 @@ The following methods are available in both `SeriesGroupBy` and `DataFrameGroupB
 | [`DataFrameGroupBy.corr`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.corr.html#pandas.core.groupby.DataFrameGroupBy.corr) | Compute pairwise correlation of columns, excluding NA/null values. |
 | [`DataFrameGroupBy.count`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.count.html#pandas.core.groupby.DataFrameGroupBy.count)\(\) | Compute count of group, excluding missing values. |
 | [`DataFrameGroupBy.cov`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.cov.html#pandas.core.groupby.DataFrameGroupBy.cov) | Compute pairwise covariance of columns, excluding NA/null values. |
-| [`DataFrameGroupBy.cumcount`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.cumcount.html#pandas.core.groupby.DataFrameGroupBy.cumcount)\(\[ascending\]\) | Number each item in each group from 0 to the length of that group - 1. |
-| [`DataFrameGroupBy.cummax`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.cummax.html#pandas.core.groupby.DataFrameGroupBy.cummax)\(\[axis\]\) | Cumulative max for each group. |
-| [`DataFrameGroupBy.cummin`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.cummin.html#pandas.core.groupby.DataFrameGroupBy.cummin)\(\[axis\]\) | Cumulative min for each group. |
-| [`DataFrameGroupBy.cumprod`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.cumprod.html#pandas.core.groupby.DataFrameGroupBy.cumprod)\(\[axis\]\) | Cumulative product for each group. |
-| [`DataFrameGroupBy.cumsum`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.cumsum.html#pandas.core.groupby.DataFrameGroupBy.cumsum)\(\[axis\]\) | Cumulative sum for each group. |
+| [`DataFrameGroupBy.cumCount`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.cumcount.html#pandas.core.groupby.DataFrameGroupBy.cumcount)\(\[ascending\]\) | Number each item in each group from 0 to the length of that group - 1. |
+| [`DataFrameGroupBy.cumMax`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.cummax.html#pandas.core.groupby.DataFrameGroupBy.cummax)\(\[axis\]\) | Cumulative max for each group. |
+| [`DataFrameGroupBy.cumMin`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.cummin.html#pandas.core.groupby.DataFrameGroupBy.cummin)\(\[axis\]\) | Cumulative min for each group. |
+| [`DataFrameGroupBy.cumProd`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.cumprod.html#pandas.core.groupby.DataFrameGroupBy.cumprod)\(\[axis\]\) | Cumulative product for each group. |
+| [`DataFrameGroupBy.cumSum`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.cumsum.html#pandas.core.groupby.DataFrameGroupBy.cumsum)\(\[axis\]\) | Cumulative sum for each group. |
 | [`DataFrameGroupBy.describe`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.describe.html#pandas.core.groupby.DataFrameGroupBy.describe)\(\*\*kwargs\) | Generate descriptive statistics. |
 | [`DataFrameGroupBy.diff`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.diff.html#pandas.core.groupby.DataFrameGroupBy.diff) | First discrete difference of element. |
 | [`DataFrameGroupBy.ffill`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.ffill.html#pandas.core.groupby.DataFrameGroupBy.ffill)\(\[limit\]\) | Forward fill the values. |
diff --git a/api-reference/groupby/README.md b/api-reference/groupby/README.md
index 9a1db65..86e7ae8 100644
--- a/api-reference/groupby/README.md
+++ b/api-reference/groupby/README.md
@@ -21,10 +21,10 @@ description: 'GroupBy objects are returned by groupby calls: danfo.DataFrame.gro
 |  |  |
 | :--- | :--- |
 | [`GroupBy.count`](groupby.count.md) | Compute count of group, excluding missing values. |
-| [`GroupBy.cummax`](groupby.cummax.md) | Cumulative max for each group. |
-| [`GroupBy.cummin`](groupby.cummin.md) | Cumulative min for each group. |
-| [`GroupBy.cumprod`](groupby.cumprod.md) | Cumulative product for each group. |
-| [`GroupBy.cumsum`](groupby.cumsum.md) | Cumulative sum for each group. |
+| [`GroupBy.cumMax`](groupby.cummax.md) | Cumulative max for each group. |
+| [`GroupBy.cumMin`](groupby.cummin.md) | Cumulative min for each group. |
+| [`GroupBy.cumProd`](groupby.cumprod.md) | Cumulative product for each group. |
+| [`GroupBy.cumSum`](groupby.cumsum.md) | Cumulative sum for each group. |
 | [`GroupBy.max`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.max.html#pandas.core.groupby.GroupBy.max) | Compute max of group values. |
 | [`GroupBy.mean`](groupby.mean.md) | Compute mean of groups, excluding missing values. |
 | [`GroupBy.min`](groupby.min.md) | Compute min of group values. |
diff --git a/api-reference/groupby/groupby.cummax.md b/api-reference/groupby/groupby.cummax.md
index 38f6aee..0f8fe5f 100644
--- a/api-reference/groupby/groupby.cummax.md
+++ b/api-reference/groupby/groupby.cummax.md
@@ -73,7 +73,7 @@ Shape: (5,2)
 ╚═══╧═══════════════════╧═══════════════════╝
 ```
 
-Obtain the cumsum for two columns for each group, group by one column
+Obtain the cumMax for two columns for each group, group by one column
 
 {% tabs %}
 {% tab title="Node" %}
@@ -134,7 +134,7 @@ grp.col(["C","D"]).cumMax().tail().print()
 ╚════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
-Obtain the cummax for a column for each group, group by two columns
+Obtain the cumMax for a column for each group, group by two columns
 
 {% tabs %}
 {% tab title="Node" %}
diff --git a/api-reference/groupby/groupby.cummin.md b/api-reference/groupby/groupby.cummin.md
index 1b569fa..01f70c3 100644
--- a/api-reference/groupby/groupby.cummin.md
+++ b/api-reference/groupby/groupby.cummin.md
@@ -4,7 +4,7 @@ description: Obtain the cummulative minimum per groups for each column
 
 # Groupby.cumMin
 
-> danfo.Groupby.**cummin**\(\)    \[[source](https://github.com/javascriptdata/danfojs/blob/4993242be7847ba7583dd40ed0188929898b8fd6/src/danfojs-base/aggregators/groupby.ts#L497)\]
+> danfo.Groupby.**cumMin**\(\)    \[[source](https://github.com/javascriptdata/danfojs/blob/4993242be7847ba7583dd40ed0188929898b8fd6/src/danfojs-base/aggregators/groupby.ts#L497)\]
 
 **Parameters**: None
 
@@ -75,7 +75,7 @@ grpColC.cumMin().tail().print()
 ╚═══╧═══════════════════╧═══════════════════╝
 ```
 
-Obtain the cummin for two columns for each group, group by one column
+Obtain the cumMin for two columns for each group, group by one column
 
 {% tabs %}
 {% tab title="Node" %}
@@ -137,7 +137,7 @@ grpCol.cumMin().tail().print()
 ╚════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
-Obtain the cummin for a column for each group, group by two columns
+Obtain the cumMin for a column for each group, group by two columns
 
 {% tabs %}
 {% tab title="Node" %}
diff --git a/api-reference/groupby/groupby.cumprod.md b/api-reference/groupby/groupby.cumprod.md
index e47444c..fef9f49 100644
--- a/api-reference/groupby/groupby.cumprod.md
+++ b/api-reference/groupby/groupby.cumprod.md
@@ -4,7 +4,7 @@ description: Obtain the cumulative product per group for each column
 
 # Groupby.cumProd
 
-> danfo.Groupby.**cumprod**\(\)     \[[source](https://github.com/javascriptdata/danfojs/blob/65f9b3753389b08101d4bb00a2d6488255476aaf/src/danfojs-base/aggregators/groupby.ts#L489)\]
+> danfo.Groupby.**cumProd**\(\)     \[[source](https://github.com/javascriptdata/danfojs/blob/65f9b3753389b08101d4bb00a2d6488255476aaf/src/danfojs-base/aggregators/groupby.ts#L489)\]
 
 **Parameters**: None
 
@@ -74,7 +74,7 @@ grpCol.cumProd().tail().print()
 ╚═══╧═══════════════════╧═══════════════════╝
 ```
 
-Obtain the cumprod for two columns for each groups, group by one column
+Obtain the cumProd for two columns for each groups, group by one column
 
 {% tabs %}
 {% tab title="Node" %}
@@ -122,7 +122,7 @@ grpCol.cumProd().print()
 ╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
-Obtain the cumprod for a column for each group, group by two columns
+Obtain the cumProd for a column for each group, group by two columns
 
 {% tabs %}
 {% tab title="Node" %}
@@ -170,7 +170,7 @@ grpCol.cumProd().print()
 ╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
-Obtain the cumprod for two columns for each group, group by two columns
+Obtain the cumProd for two columns for each group, group by two columns
 
 {% tabs %}
 {% tab title="Node" %}
diff --git a/api-reference/groupby/groupby.cumsum.md b/api-reference/groupby/groupby.cumsum.md
index 2df6516..440fa31 100644
--- a/api-reference/groupby/groupby.cumsum.md
+++ b/api-reference/groupby/groupby.cumsum.md
@@ -2,9 +2,9 @@
 description: Obtain the cumulative sum per groups for each column
 ---
 
-# Groupby.cumsum
+# Groupby.cumSum
 
-> danfo.Groupby.**cumsum**()       \[[source](https://github.com/javascriptdata/danfojs/blob/0d33e344b80a3ed54c91c9393ac3b583d4b0b1a4/src/danfojs-base/aggregators/groupby.ts#L473)]
+> danfo.Groupby.**cumSum**()       \[[source](https://github.com/javascriptdata/danfojs/blob/0d33e344b80a3ed54c91c9393ac3b583d4b0b1a4/src/danfojs-base/aggregators/groupby.ts#L473)]
 
 **Parameters**: None