change group.cum<lower_case> to group.cum<camelCase>

Author: andrew.wong

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)

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()
 ```

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)
 

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. |

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. |

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" %}

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" %}

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" %}

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