# ClassicTable
## Introduction
**`ClassicTable`** is a widget in Supervisely that is used for displaying and manipulating data in a table format. It is similar to the `Table` widget but with fewer customization options and functionalities.
{% hint style="info" %}
Note, that this is a legacy version. It is recommended to use the newer `Table` widget instead.
{% endhint %}
## Function signature
```python
classic_table = ClassicTable()
classic_table.read_pandas(pd.DataFrame(data=data, index=b, columns=a))
```
or
```python
classic_table = ClassicTable(
data=pd.DataFrame(data=data, index=b, columns=a),
fixed_columns_num=1,
widget_id=None
)
```
## Parameters
| Parameters | Type | Description |
| :-----------------: | :------------------------: | :-------------------------------------: |
| `data` | `pd.DataFrame()` or `dict` | Data of table |
| `columns` | `list` | List of columns names |
| `fixed_columns_num` | `int` | Number of fixed columns (left to right) |
| `widget_id` | `str` | ID of the widget |
### data
Data of table in different formats:
1. Pandas Dataframe:
```python
pd.DataFrame(data=data, columns=columns)
```
2. Python dict with structure:
```python
{
"columns_names": ["col_name_1", "col_name_2", ...],
"values_by_rows": [
["row_1_column_1", "row_1_column_2", ...],
["row_2_column_1", "row_2_column_2", ...],
...
]
}
# prepare data for table
a = list(range(1, 11))
b = list(range(1, 5))
data = []
for row in b:
temp = [round(row * number, 1) for number in a]
data.append(temp)
a = [str(i) for i in a]
b = [str(i) for i in b]
data = pd.DataFrame(data=data, index=b, columns=a)
classic_table = ClassicTable(data=df)py
```
### columns
List of columns names.
**type:** `list`
**default value:** `None`
```python
columns = [f"Col#{i}" for i in range(1, 11)]
data = pd.DataFrame(data=data, index=b, columns=columns)
classic_table = ClassicTable(data=df)
```
### fixed\_columns\_num
Number of fixed colums (left to right).
**type:** `int`
**default value:** `None`
```python
classic_table = ClassicTable(data=df, fixed_columns_num=2)
```
### widget\_id
ID of the widget.
**type:** `str`
**default value:** `None`
### Methods and attributes
| Attributes and Methods | Description |
| :--------------------------------: | ------------------------------------------------------------ |
| `fixed_columns_num` | Get or set number of fixed columns (left to right) property. |
| `to_json()` | Convert table data to json. |
| `to_pandas()` | Convert table data to pandas dataframe. |
| `read_json(value: dict)` | Read and set table data from json. |
| `read_pandas(value: pd.DataFrame)` | Read and set table data from pandas dataframe. |
| `insert_row(index=-1)` | Insert new row in table. |
| `pop_row(value: pd.DataFrame)` | Remove row from table by index. |
| `get_selected_cell(state)` | Get selected table cell info. |
## Mini App Example
You can find this example in our Github repository:
[ui-widgets-demos/tables/002\_classic\_table/src/main.py](https://github.com/supervisely-ecosystem/ui-widgets-demos/blob/master/tables/002_classic_table/src/main.py)
### Import libraries
```python
import os
import pandas as pd
import supervisely as sly
from dotenv import load_dotenv
from supervisely.app.widgets import Card, ClassicTable, Container
```
### Init API client
First, we load environment variables with credentials and init API for communicating with Supervisely Instance:
```python
load_dotenv("local.env")
load_dotenv(os.path.expanduser("~/supervisely.env"))
api = sly.Api()
```
### Prepare function that creates example pandas table
```python
def multiplication_table():
a = list(range(1, 11))
b = list(range(1, 6))
data = []
for row in b:
temp = [round(row * number, 1) for number in a]
temp[-1] = sly.app.widgets.Table.create_button("Delete row")
data.append(temp)
a = [f"Col#{str(i)}" for i in a]
b = [str(i) for i in b]
return pd.DataFrame(data=data, index=b, columns=a)
```
Create data for table.
```python
df = multiplication_table()
```
### Initialize `ClassicTable` widget
```python
classic_table = ClassicTable(data=df)
```
or you can initialize empty table and set data later.
```python
classic_table = ClassicTable()
classic_table.read_pandas(df)
```
### Create app layout
Prepare a layout for app using `Card` widget with the `content` parameter and place widget that we've just created in the `Container` widget.
```python
card = Card(
title="Classic Table",
content=classic_table,
)
layout = Container(widgets=[card])
```
### Create app using layout
Create an app object with layout parameter.
```python
app = sly.Application(layout=layout)
```
---
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