From c8704d20f7be4924b179953819d2d124498dd629 Mon Sep 17 00:00:00 2001 From: Joey deVilla Date: Sat, 14 Dec 2024 00:55:02 -0500 Subject: [PATCH 1/9] Add static and dynamic table sections --- docs/framework/dataframe.mdx | 148 ++++++++++++++++++ .../images/dataframe_dynamic_table_1.png | Bin 0 -> 404914 bytes .../images/dataframe_static_table_1.png | Bin 0 -> 403375 bytes 3 files changed, 148 insertions(+) create mode 100644 docs/framework/images/dataframe_dynamic_table_1.png create mode 100644 docs/framework/images/dataframe_static_table_1.png diff --git a/docs/framework/dataframe.mdx b/docs/framework/dataframe.mdx index ec52caf57..b62ff2b6a 100644 --- a/docs/framework/dataframe.mdx +++ b/docs/framework/dataframe.mdx @@ -2,6 +2,154 @@ title: "Dataframe" --- +**Writer Framework has two objects with the name _DataFrame_:** + +1. **Code Dataframe:** In code that you write for a Writer Framework application, `DataFrame` refers to a **_data structure_** that stores data in rows and columns in a way similar to a spreadsheet or SQL table. +2. **UI DataFrame:** In Writer Framework's UI, "DataFrame" refers to a **_user interface component_** that displays data in rows and columns in a way similar to a spreadsheet or SQL table. + +To present a data table in Writer Framework, you create a `DataFrame` data structure in your code and then bind it to a UI Dataframe. + + +## Displaying a static data table using a DataFrame + +A static table is one whose content does not change. The user can change its sort order, but the data within the table remains constant. + + + + Writer Framework supports both [pandas](https://pandas.pydata.org/) and [Polars](https://pola.rs/) `DataFrame` data structures. Create a `DataFrame`, assign its value to a variable, then assign make that variable a value in the `state` dictionary: + + + ```sh pandas + import writer as wf + import pandas as pd + + data = [ + {"rank": 1, "flavor": "Vanilla", "favorite": 0.11}, + {"rank": 2, "flavor": "Chocolate", "favorite": 0.1}, + {"rank": 3, "flavor": "Cookies and cream", "favorite": 0.07}, + {"rank": 4, "flavor": "Strawberry", "favorite": 0.06}, + {"rank": 5, "flavor": "Chocolate chip", "favorite": 0.02}, + ] + df = pd.DataFrame(data) + + wf.init_state({ + "mydf": df + }) + ``` + + ```sh Polars + import writer as wf + import polars as pl + + data = [ + {"rank": 1, "flavor": "Vanilla", "favorite": 0.11}, + {"rank": 2, "flavor": "Chocolate", "favorite": 0.1}, + {"rank": 3, "flavor": "Cookies and cream", "favorite": 0.07}, + {"rank": 4, "flavor": "Strawberry", "favorite": 0.06}, + {"rank": 5, "flavor": "Chocolate chip", "favorite": 0.02}, + ] + df = pl.DataFrame(data) + + wf.init_state({ + "mydf": df + }) + ``` + + + The call to `wf.init_state()` adds the `DataFrame` to the application's `state` variable as the value of the `mydf` key. + + + Add a DataFrame UI component to the user interface, then set its **Data** property to `@{`_dataframe_key_`}`, where _dataframe_key_ is the `state` variable key whose value refers to the `DataFrame` data structure. + + In the case of this example, `mydf` is the `state` variable key referring to the `DataFrame`, so set the **Data** property to `@{mydf}`. + + ![DataFrame for static table example with properties panel open](images/dataframe_static_table_1.png) + + + + +## Displaying a dynamic data table using a DataFrame + +A dynamic table is one whose content can change. Like static tables, dynamic tables use the **DataFrame** UI component. Unlike static tables, the DataFrame UI component is bound to an instance of `EditableDataframe`, a class provided by the Writer library. Changes to a `EditableDataframe` object will be immediately reflected in the DataFrame UI component that it is bound to. + +Note that the "f" in `EditableDataframe` is _not_ capitalized — it’s `EditableDataframe`, not `EditableDataFrame`! + + + + An `EditableDataframe` object can be instantiated from any of the following: + + 1. A pandas `DataFrame` + 2. A Polars `DataFrame` + 3. A list of dictionaries + + + ```sh pandas + import writer as wf + import pandas as pd + + data = [ + {"rank": 1, "flavor": "Vanilla", "favorite": 0.11}, + {"rank": 2, "flavor": "Chocolate", "favorite": 0.1}, + {"rank": 3, "flavor": "Cookies and cream", "favorite": 0.07}, + {"rank": 4, "flavor": "Strawberry", "favorite": 0.06}, + {"rank": 5, "flavor": "Chocolate chip", "favorite": 0.02}, + ] + df = pd.DataFrame(data) + + wf.init_state({ + "mydf": wf.EditableDataframe(df) + }) + ``` + + ```sh Polars + import writer as wf + import polars as pl + + data = [ + {"rank": 1, "flavor": "Vanilla", "favorite": 0.11}, + {"rank": 2, "flavor": "Chocolate", "favorite": 0.1}, + {"rank": 3, "flavor": "Cookies and cream", "favorite": 0.07}, + {"rank": 4, "flavor": "Strawberry", "favorite": 0.06}, + {"rank": 5, "flavor": "Chocolate chip", "favorite": 0.02}, + ] + df = pl.DataFrame(data) + + wf.init_state({ + "mydf": wf.EditableDataframe(df) + }) + ``` + + ```sh List of dictionaries + import writer as wf + + data = [ + {"rank": 1, "flavor": "Vanilla", "favorite": 0.11}, + {"rank": 2, "flavor": "Chocolate", "favorite": 0.1}, + {"rank": 3, "flavor": "Cookies and cream", "favorite": 0.07}, + {"rank": 4, "flavor": "Strawberry", "favorite": 0.06}, + {"rank": 5, "flavor": "Chocolate chip", "favorite": 0.02}, + ] + + wf.init_state({ + "mydf": wf.EditableDataframe(data) + }) + ``` + + + The call to `wf.init_state()` adds the `DataFrame` to the application's `state` variable as the value of the `mydf` key. + + + Add a **DataFrame** component to the user interface, then set its **Data** property to `@{`_dataframe_key_`}`, where _dataframe_key_ is the `state` variable key whose value refers to the `DataFrame` data structure. + + In the case of this example, `mydf` is the `state` variable key referring to the `DataFrame`, so set the **Data** property to `@{mydf}`. + + ![DataFrame for dynamic table example with properties panel open](images/dataframe_dynamic_table_1.png) + + + +### Updating an EditableDataframe + + **writer framework places the dataframe at the core of the application**. This is a great way for modeling a complex and massive data system. it offers components as `dataframe` to manipulate dataframes. 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1(Na$27Dv z@8cp@_j(!m@s;y+4Oa)6v=S)w$%g0Sm?%9CH~u+Vw2HY=@gL#8wK7WON#xNUU(?6` zyB+Z&XN0#=%G_)p5dVL_4TyhIlJ(5h1c4d4({9n&&G~avWbJO(FOZt&n;-7P^Q~zIj<$JIH zC*^P3|M$zQ|7kC{Z9L_>r2JXO0Mz_PK#eKwJ%AOM11NKTOjq3B8np&cZReAZ0lI(x z{cVOZK>734y_T9k=eKg1yr<13x(7%L<^Xu<_ltk}@4fsvziG;}NGrji4CW(6`Q3F# zX6ykthQ`16{+Ch4=i~hG|Lv{|#6PDvQSt3Wx~UT9`0v(tf%vcGZ#IXuR{!rB|J?(i zxyJuA7rFH@gf|lLpvQmt9+UFDpSO4X_w_u>`2Rok`izf%`BUZlWidCn(=v_B&)h{^ z7cT44+7(-NfV11Vz2!-}h6}&~_IlW{GbnPTm<)Q z$C&rWhO>gDqZflg4!mtG%wM!&dNraqW&C`;YGsemJ)vE)^p)xQ9x#fb4{+brPo3+% zt6I}hF$C-bKpcp-{m5+d%(4Lxjzd7SvK$?MqsxENlV_*ds=Zmk(gAA#&T7&;kU_A) z9Z2kHaxf2!=NxZ4?fDsxaz~;))1@iX>w0TOm(M~n8V}rbFy3-^nCPi&^9ZzC`&!27k*S0|ne<4`miNnUSV$ zp?I)4sY4)3zm!@@dPb;u=mD37@YIDW@5K+(j4mHIlcn$RI5hxsVHvZCf3Onp z=P+0s+;MpCw=6rs=nObN_ZAY~AOVXU&cRgfiZ{AbeJ z4k-1V){kZeF))VUC*^?T4C?>kGYz7ZLoF}6(Xz{z2<)ZsWv8%pWvQwg}WvaNmPs&j^jva*5N=WU@6en z`SPRRYP;dB|4jDHB+KmFbcsF*OabCQ7ic(gFne6=;77CD2>bzCZq4&yU|W(|0hwhJ zuvm50#bF!++sA;1!#M(l_yZkp&CoIFr7wGjDFBcNw3n$s{QI!Go9|x#48R6p6!5+A zzy|XI+r8m$a0g;=W1!=#d>%rhH5o1&IF3VLhlfqA?FhdBOYFFq=?TFbLUpeYn@N1V zm1g$X@#Lu+FI~X~a{+q+0A>OG|5U7El2z(4JFtTxLCS>97~sCF%T@g{KZ{l8I1XB! zhSqy_rOz%u1!Wy~P|+Th1YjU5#h6E37Fg_CpbBgv>+JY4iqzq0AzSA99mk%r19*7) zFb=qbnSsy6VYb12iB1om2ef4JA-o&5$P#T8hso?yV>`P6J%s}W!=A7o3?*JXt6VA{ zF$};yl-d`MHYdF4UaYTJ8JG(6@LZ5HqfJ*MpbgS00000NkvXXu0mjf D{Iafy literal 0 HcmV?d00001 From 014cc21c5d444783108bba6d03a0635536641a12 Mon Sep 17 00:00:00 2001 From: Joey deVilla Date: Sat, 14 Dec 2024 10:57:13 -0500 Subject: [PATCH 2/9] Add DataFrame methods --- docs/framework/dataframe.mdx | 110 +++++++++++------------------------ 1 file changed, 35 insertions(+), 75 deletions(-) diff --git a/docs/framework/dataframe.mdx b/docs/framework/dataframe.mdx index b62ff2b6a..d44e4d2e7 100644 --- a/docs/framework/dataframe.mdx +++ b/docs/framework/dataframe.mdx @@ -10,9 +10,9 @@ title: "Dataframe" To present a data table in Writer Framework, you create a `DataFrame` data structure in your code and then bind it to a UI Dataframe. -## Displaying a static data table using a DataFrame +## Displaying a static DataFrame -A static table is one whose content does not change. The user can change its sort order, but the data within the table remains constant. +A static DataFrame is one whose content does not change. The user can change its sort order, but the data within the DataFrame remains constant. @@ -68,9 +68,9 @@ A static table is one whose content does not change. The user can change its sor -## Displaying a dynamic data table using a DataFrame +## Displaying an editable DataFrame -A dynamic table is one whose content can change. Like static tables, dynamic tables use the **DataFrame** UI component. Unlike static tables, the DataFrame UI component is bound to an instance of `EditableDataframe`, a class provided by the Writer library. Changes to a `EditableDataframe` object will be immediately reflected in the DataFrame UI component that it is bound to. +A editable DataFrame is one whose content can change. Like static DataFrames, editable DataFrames use the **DataFrame** UI component. Unlike static tables, the DataFrame UI component is bound to an instance of `EditableDataframe`, a class provided by the Writer library. Changes to a `EditableDataframe` object will be immediately reflected in the DataFrame UI component that it is bound to. Note that the "f" in `EditableDataframe` is _not_ capitalized — it’s `EditableDataframe`, not `EditableDataFrame`! @@ -147,100 +147,60 @@ A dynamic table is one whose content can change. Like static tables, dynamic tab -### Updating an EditableDataframe +## Updating an editable DataFrame +Editable DataFrames are updated by updating the `EditableDataframe` object they are bound to, which is done using `EditableDataframe`'s methods. -**writer framework places the dataframe at the core of the application**. This is a great way for modeling a complex and massive data system. -it offers components as `dataframe` to manipulate dataframes. These components allow you to visualize and interact with dataframes. +### `record_add`: Add a new row -| compatibility | dataframe | -|--------------------|---------------------------------------| -| `pandas.DataFrame` | x | -| `polar.DataFrame` | x | -| `list of records` | x (with `EditableDataframe`) | - -## Use a dataframe - -**a dataframe is simply added to the state**. A component like `dataframe` will be able to display it. +`record_add()` adds a new row to an `EditableDataframe`. It takes a dictionary with the following structure... ```python -import pandas -import writer as wf - -wf.init_state({ - 'mydf': pandas.DataFrame({'a': [1, 2, 3], 'b': [4, 5, 6]}) -}) +{"record": new_row} ``` -## Prepare a dataframe for editing +...where `new_row` is a dictionary containing the data for the row to be added. -**writer provides `EditableDataframe` as a helper to facilitate manipulation**. it makes it easier to write event handlers such as adding a line, -deleting it or modifying a value, etc... +In the code example above, you would add a new row to the DataFrame with the following code: ```python -import pandas -import writer as wf - -df = pandas.DataFrame({'a': [1, 2, 3], 'b': [4, 5, 6]}) - -wf.init_state({ - 'mydf': wf.EditableDataframe(df) -}) +state["mydf"].record_add({"record": {"rank": 6, "flavor": "Birthday cake", "favorite": 0.01}}) ``` -### Handle events from a dataframe editor +### `record_update`: Change an existing row -**The dataframe component emits events when an action is performed**. You must subscribe to events to integrate changes to the state of the application. +`record_update()` replaces an existing row in an `EditableDataframe` with a new one. It takes a dictionary with the following structure... ```python -import pandas -import writer as wf - -df = pandas.DataFrame({'a': [1, 2, 3], 'b': [4, 5, 6]}) -wf.init_state({ - 'mydf': wf.EditableDataframe(df) -}) - -# Subscribe this event handler to the `wf-dataframe-add` event -def on_record_add(state, payload): - payload['record']['sales'] = 0 # default value inside the dataframe - state['mydf'].record_add(payload) - +{ + "record_index": index, + "record": row_to_update +} +``` -# Subscribe this event handler to the `wf-dataframe-update` event -def on_record_change(state, payload): - state['mydf'].record_update(payload) +...where `index` is an integer specifying which row should be updated and `row_to_update` is a dictionary containing the updated row data. +In the code example above, you would update the row at index 0 with the following code: -# Subscribe this event handler to the `wf-dataframe-action` event -def on_record_action(state, payload): - """ - This event corresponds to a quick action in the drop-down menu to the left of the dataframe. - """ - record_index = payload['record_index'] - if payload['action'] == 'remove': - state['mydf'].record_remove(payload) - if payload['action'] == 'open': - state['record'] = state['df'].record(record_index) # dict representation of record +```python +state["mydf"].record_update({ + "record_index": 0, + "record": {"rank": 6, "flavor": "Bubble gum", "favorite": 0.08} +}) ``` -### Datastructures supported by `EditableDataframe` +### `record_remove`: Delete an existing row -`EditableDataframe` can be used with a panda dataframe, a polar dataframe and list of records. +`record_remove()` removes an existing row from an `EditableDataframe`. It takes a dictionary with the following structure... ```python -import pandas -import polars +{"record_index": index} +``` -import writer as wf +...where `index` is an integer specifying which row should be deleted. -panda_df = pandas.DataFrame({'a': [1, 2, 3], 'b': [4, 5, 6]}) -polars_df = polars.DataFrame({'a': [1, 2, 3], 'b': [4, 5, 6]}) -list_of_records = [{'a': 1, 'b': 4}, {'a': 2, 'b': 5}, {'a': 3, 'b': 6}] +In the code example above, you would delete the row at index 2 with the following code: -wf.init_state({ - 'mypandas': wf.EditableDataframe(panda_df), - 'mypolars': wf.EditableDataframe(polars_df), - 'mylistofrecords': wf.EditableDataframe(list_of_records) -}) -``` +```python +state["mydf"].record_remove({"record_index": 0}) +``` \ No newline at end of file From fe0dfbcc8c072178863d95bd778365051530cee7 Mon Sep 17 00:00:00 2001 From: Joey deVilla Date: Mon, 16 Dec 2024 10:47:47 -0500 Subject: [PATCH 3/9] Update docs/framework/dataframe.mdx Co-authored-by: Alexandre Rousseau --- docs/framework/dataframe.mdx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/framework/dataframe.mdx b/docs/framework/dataframe.mdx index d44e4d2e7..63f3f0079 100644 --- a/docs/framework/dataframe.mdx +++ b/docs/framework/dataframe.mdx @@ -202,5 +202,5 @@ state["mydf"].record_update({ In the code example above, you would delete the row at index 2 with the following code: ```python -state["mydf"].record_remove({"record_index": 0}) +state["mydf"].record_remove({"record_index": 2}) ``` \ No newline at end of file From 7c8e06a3550e4ce3ca6a7f9db7bcf8489e5e428a Mon Sep 17 00:00:00 2001 From: Joey deVilla Date: Mon, 16 Dec 2024 10:48:00 -0500 Subject: [PATCH 4/9] Update docs/framework/dataframe.mdx Co-authored-by: Alexandre Rousseau --- docs/framework/dataframe.mdx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/framework/dataframe.mdx b/docs/framework/dataframe.mdx index 63f3f0079..6e4ea6402 100644 --- a/docs/framework/dataframe.mdx +++ b/docs/framework/dataframe.mdx @@ -19,7 +19,7 @@ A static DataFrame is one whose content does not change. The user can change its Writer Framework supports both [pandas](https://pandas.pydata.org/) and [Polars](https://pola.rs/) `DataFrame` data structures. Create a `DataFrame`, assign its value to a variable, then assign make that variable a value in the `state` dictionary: - ```sh pandas + ```python pandas import writer as wf import pandas as pd From b2ab8f86278b714f7457e28e7ef7ef43dc8f5809 Mon Sep 17 00:00:00 2001 From: Joey deVilla Date: Mon, 16 Dec 2024 10:48:09 -0500 Subject: [PATCH 5/9] Update docs/framework/dataframe.mdx Co-authored-by: Alexandre Rousseau --- docs/framework/dataframe.mdx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/framework/dataframe.mdx b/docs/framework/dataframe.mdx index 6e4ea6402..ebab7e80b 100644 --- a/docs/framework/dataframe.mdx +++ b/docs/framework/dataframe.mdx @@ -83,7 +83,7 @@ A editable DataFrame is one whose content can change. Like static DataFrames, ed 3. A list of dictionaries - ```sh pandas + ```python pandas import writer as wf import pandas as pd From bb103a1d9d7eebbe81c0aca29ac7bfe394147fa1 Mon Sep 17 00:00:00 2001 From: Joey deVilla Date: Mon, 16 Dec 2024 10:48:16 -0500 Subject: [PATCH 6/9] Update docs/framework/dataframe.mdx Co-authored-by: Alexandre Rousseau --- docs/framework/dataframe.mdx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/framework/dataframe.mdx b/docs/framework/dataframe.mdx index ebab7e80b..c9bd10ed5 100644 --- a/docs/framework/dataframe.mdx +++ b/docs/framework/dataframe.mdx @@ -37,7 +37,7 @@ A static DataFrame is one whose content does not change. The user can change its }) ``` - ```sh Polars + ```python Polars import writer as wf import polars as pl From 7fcdb00609793325fbe0973616d3ad3b11784b20 Mon Sep 17 00:00:00 2001 From: Joey deVilla Date: Mon, 16 Dec 2024 10:50:53 -0500 Subject: [PATCH 7/9] Update capitalization to EditableDataFrame; plus minor corrections --- docs/framework/dataframe.mdx | 22 ++++++++++------------ 1 file changed, 10 insertions(+), 12 deletions(-) diff --git a/docs/framework/dataframe.mdx b/docs/framework/dataframe.mdx index c9bd10ed5..3e2f574a4 100644 --- a/docs/framework/dataframe.mdx +++ b/docs/framework/dataframe.mdx @@ -70,13 +70,11 @@ A static DataFrame is one whose content does not change. The user can change its ## Displaying an editable DataFrame -A editable DataFrame is one whose content can change. Like static DataFrames, editable DataFrames use the **DataFrame** UI component. Unlike static tables, the DataFrame UI component is bound to an instance of `EditableDataframe`, a class provided by the Writer library. Changes to a `EditableDataframe` object will be immediately reflected in the DataFrame UI component that it is bound to. - -Note that the "f" in `EditableDataframe` is _not_ capitalized — it’s `EditableDataframe`, not `EditableDataFrame`! +A editable DataFrame is one whose content can change. Like static DataFrames, editable DataFrames use the **DataFrame** UI component. Unlike static tables, the DataFrame UI component is bound to an instance of `EditableDataFrame`, a class provided by the Writer library. Changes to a `EditableDataFrame` object will be immediately reflected in the DataFrame UI component that it is bound to. - - An `EditableDataframe` object can be instantiated from any of the following: + + An `EditableDataFrame` object can be instantiated from any of the following: 1. A pandas `DataFrame` 2. A Polars `DataFrame` @@ -97,7 +95,7 @@ A editable DataFrame is one whose content can change. Like static DataFrames, ed df = pd.DataFrame(data) wf.init_state({ - "mydf": wf.EditableDataframe(df) + "mydf": wf.EditableDataFrame(df) }) ``` @@ -115,7 +113,7 @@ A editable DataFrame is one whose content can change. Like static DataFrames, ed df = pl.DataFrame(data) wf.init_state({ - "mydf": wf.EditableDataframe(df) + "mydf": wf.EditableDataFrame(df) }) ``` @@ -131,7 +129,7 @@ A editable DataFrame is one whose content can change. Like static DataFrames, ed ] wf.init_state({ - "mydf": wf.EditableDataframe(data) + "mydf": wf.EditableDataFrame(data) }) ``` @@ -149,11 +147,11 @@ A editable DataFrame is one whose content can change. Like static DataFrames, ed ## Updating an editable DataFrame -Editable DataFrames are updated by updating the `EditableDataframe` object they are bound to, which is done using `EditableDataframe`'s methods. +Editable DataFrames are updated by updating the `EditableDataFrame` object they are bound to, which is done using `EditableDataFrame`'s methods. ### `record_add`: Add a new row -`record_add()` adds a new row to an `EditableDataframe`. It takes a dictionary with the following structure... +`record_add()` adds a new row to an `EditableDataFrame`. It takes a dictionary with the following structure... ```python {"record": new_row} @@ -169,7 +167,7 @@ state["mydf"].record_add({"record": {"rank": 6, "flavor": "Birthday cake", "favo ### `record_update`: Change an existing row -`record_update()` replaces an existing row in an `EditableDataframe` with a new one. It takes a dictionary with the following structure... +`record_update()` replaces an existing row in an `EditableDataFrame` with a new one. It takes a dictionary with the following structure... ```python { @@ -191,7 +189,7 @@ state["mydf"].record_update({ ### `record_remove`: Delete an existing row -`record_remove()` removes an existing row from an `EditableDataframe`. It takes a dictionary with the following structure... +`record_remove()` removes an existing row from an `EditableDataFrame`. It takes a dictionary with the following structure... ```python {"record_index": index} From 3860958b16ea0583c8c6bb9d30d986600caaae07 Mon Sep 17 00:00:00 2001 From: Joey deVilla Date: Mon, 16 Dec 2024 11:08:17 -0500 Subject: [PATCH 8/9] Add documentation for record() method --- docs/framework/dataframe.mdx | 10 ++++++++++ 1 file changed, 10 insertions(+) diff --git a/docs/framework/dataframe.mdx b/docs/framework/dataframe.mdx index 3e2f574a4..c86eea9ab 100644 --- a/docs/framework/dataframe.mdx +++ b/docs/framework/dataframe.mdx @@ -165,6 +165,16 @@ In the code example above, you would add a new row to the DataFrame with the fol state["mydf"].record_add({"record": {"rank": 6, "flavor": "Birthday cake", "favorite": 0.01}}) ``` +### `record`: Read the contents of a row + +`record()` returns a row in an `EditableDataFrame`. It takes an integer specifying the index of the row. + +In the code example above, you would retrieve the record at row 1 with the following code: + +```python +record = state["mydf"].record(1) +``` + ### `record_update`: Change an existing row `record_update()` replaces an existing row in an `EditableDataFrame` with a new one. It takes a dictionary with the following structure... From 18564402b976ab665f81de850b51733ae9fd9bfa Mon Sep 17 00:00:00 2001 From: Joey deVilla Date: Thu, 19 Dec 2024 01:07:49 -0500 Subject: [PATCH 9/9] Add sections: intro, enabling download and search --- docs/framework/dataframe.mdx | 55 +++++++++++++++--- docs/framework/images/dataframe.png | Bin 0 -> 128113 bytes .../images/dataframe_enable_download.png | Bin 0 -> 229861 bytes .../images/dataframe_enable_search.png | Bin 0 -> 229530 bytes .../images/dataframe_resort_resize.png | Bin 0 -> 149346 bytes .../images/dataframe_search_download.png | Bin 0 -> 125343 bytes 6 files changed, 48 insertions(+), 7 deletions(-) create mode 100644 docs/framework/images/dataframe.png create mode 100644 docs/framework/images/dataframe_enable_download.png create mode 100644 docs/framework/images/dataframe_enable_search.png create mode 100644 docs/framework/images/dataframe_resort_resize.png create mode 100644 docs/framework/images/dataframe_search_download.png diff --git a/docs/framework/dataframe.mdx b/docs/framework/dataframe.mdx index c86eea9ab..eaffe0b5e 100644 --- a/docs/framework/dataframe.mdx +++ b/docs/framework/dataframe.mdx @@ -2,10 +2,28 @@ title: "Dataframe" --- +## DataFrames + +If your application needs to present data as a table, it should use a **DataFrame**. DataFrames provide a simple way to present data in a grid format, require only a couple of lines of code to set up, and provide an interface that users expect from modern data applications. + +![DataFrame showing a table of popular ice cream flavors](/framework/images/dataframe.png) + +DataFrames built-in features that users expect, such as headers that can be clicked to change the sort order and resizable columns... + +![DataFrame with arrows pointing to the re-sort and resizing features](/framework/images/dataframe_resort_resize.png) + +...and with the simple change of a parameter, you can enable features such as the Search field, which lets the user find the data they’re looking for (or filter out unwanted data), and the Download button, which downloads the data currently being displayed as a .csv file: + +![DataFrame with arrows pointing to the Search field and Download button](/framework/images/dataframe_search_download.png) + +You can find the full list of DataFrame properties and fields on the [_DataFrame_ component page](/components/dataframe). + +### “DataFrame” has multiple meanings + **Writer Framework has two objects with the name _DataFrame_:** -1. **Code Dataframe:** In code that you write for a Writer Framework application, `DataFrame` refers to a **_data structure_** that stores data in rows and columns in a way similar to a spreadsheet or SQL table. -2. **UI DataFrame:** In Writer Framework's UI, "DataFrame" refers to a **_user interface component_** that displays data in rows and columns in a way similar to a spreadsheet or SQL table. +1. **UI DataFrame:** In Writer Framework's UI, "DataFrame" refers to a **_user interface component_** that displays data in rows and columns in a way similar to a spreadsheet or SQL table. +2. **Code Dataframe:** In code that you write for a Writer Framework application, `DataFrame` refers to a **_data structure_** that stores data in rows and columns in a way similar to a spreadsheet or SQL table. To present a data table in Writer Framework, you create a `DataFrame` data structure in your code and then bind it to a UI Dataframe. @@ -63,7 +81,7 @@ A static DataFrame is one whose content does not change. The user can change its In the case of this example, `mydf` is the `state` variable key referring to the `DataFrame`, so set the **Data** property to `@{mydf}`. - ![DataFrame for static table example with properties panel open](images/dataframe_static_table_1.png) + ![DataFrame for static table example with properties panel open](/framework/images/dataframe_static_table_1.png) @@ -99,7 +117,7 @@ A editable DataFrame is one whose content can change. Like static DataFrames, ed }) ``` - ```sh Polars + ```python Polars import writer as wf import polars as pl @@ -117,7 +135,7 @@ A editable DataFrame is one whose content can change. Like static DataFrames, ed }) ``` - ```sh List of dictionaries + ```python List of dictionaries import writer as wf data = [ @@ -141,7 +159,7 @@ A editable DataFrame is one whose content can change. Like static DataFrames, ed In the case of this example, `mydf` is the `state` variable key referring to the `DataFrame`, so set the **Data** property to `@{mydf}`. - ![DataFrame for dynamic table example with properties panel open](images/dataframe_dynamic_table_1.png) + ![DataFrame for dynamic table example with properties panel open](/framework/images/dataframe_dynamic_table_1.png) @@ -211,4 +229,27 @@ In the code example above, you would delete the row at index 2 with the followin ```python state["mydf"].record_remove({"record_index": 2}) -``` \ No newline at end of file +``` + + +## Enabling additional features + +The DataFrame component has these “always-on” features: + +1. **Sorting:** Clicking a column header sorts the entire DataFrame based on that column's values. The first click sorts that DataFrame in ascending order, a second click changes it to descending order, and a third click restores the DataFrame to its original sort order. +2. **Column resizing:** Click and drag the dividing line on the right edge of a column header to adjust its width. + +DataFrames have other features that you need to activate, which are listed below. + +### Search field + +To enable the Search field, select the DataFrame, open the Component settings panel, and set **Enable search** to **yes**. + +![Enabling the Search field in a DataFrame](/framework/images/dataframe_enable_search.png) + +### Download button + +To enable the Download button, select the DataFrame, open the Component settings panel, and set **Enable download** to **yes**. + +![Enabling the Download button in a DataFrame](/framework/images/dataframe_enable_download.png) + diff --git a/docs/framework/images/dataframe.png b/docs/framework/images/dataframe.png new file mode 100644 index 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