# GridChart
## Introduction
**`GridChart`** widget is used to create a grid of `LineChart` subplots with a given data. Users can add plots in real-time making it useful for interactive data exploration and analysis. This widget could be considered as an advanced version of a `GridPlot` widget with the support of [ApexCharts](https://apexcharts.com/) library.
## Function signature
```python
data_1 = {
"title": "Line 1",
"series": [{"name": "Line 1", "data": s1}],
}
data_2 = {
"title": "Line 2",
"series": [{"name": "Line 2", "data": s2}],
}
data_all = {
"title": "All lines",
"series": [{"name": "Line 1", "data": s1}, {"name": "Line 2", "data": s2}],
}
grid_chart = GridChart(data=[data_1, data_2, data_all], columns=3)
```
## Parameters
| Parameters | Type | Description |
| :---------: | :-----------------: | :-------------------------------------------------------------------------------------: |
| `data` | `List[dict or str]` | List of data to display. `str` inputs will be recognized as a titles for empty widgets. |
| `columns` | `int` | Number of columns. |
| `gap` | `int` | Gap between widgets inside `GridChart`. |
| `widget_id` | `str` | ID of the widget |
### data
List of data to display on `GridPlot`.
**type:** `List[Dict or str]`
```python
data_max = {"title": "Max", "series": [{"name": "Max", "data": s1}]}
data_denis = {"title": "Denis", "series": [{"name": "Denis", "data": s2}]}
grid_chart = GridChart(data=[data_max, data_denis])
```
### columns
Determine the number of columns on `GridChart`.
**type:** `int`
**default value:** `1`
```python
data_max = {"title": "Max", "series": [{"name": "Max", "data": s1}]}
data_denis = {"title": "Denis", "series": [{"name": "Denis", "data": s2}]}
grid_chart = GridChart(data=[data_max, data_denis], columns=2)
```
### gap
Determine the gap between widgets on `GridChart`.
**type:** `int`
**default value:** `10`
```python
data_max = {"title": "Max", "series": [{"name": "Max", "data": s1}]}
data_denis = {"title": "Denis", "series": [{"name": "Denis", "data": s2}]}
grid_chart = GridChart(data=[data_max, data_denis], columns=2, gap=100)
```
### widget\_id
ID of the widget.
**type:** `str`
**default value:** `None`
## Methods and attributes
| Attributes and Methods | Description |
| :-------------------------------------------------: | ---------------------------------- |
| `add_scalar(identifier: str, y, x)` | Add data in `GridChart`. |
| `add_scalars(plot_title: str, new_values: dict, x)` | Add series of data in `GridChart`. |
## Mini App Example
You can find this example in our GitHub repository:
[ui-widgets-demos/charts and plots/010\_grid\_chart/src/main.py](https://github.com/supervisely-ecosystem/ui-widgets-demos/blob/master/charts%20and%20plots/010_grid_chart/src/main.py)
### Import libraries
```python
import os
import supervisely as sly
from supervisely.app.widgets import Card, Container, GridChart
from dotenv import load_dotenv
import numpy as np
```
### 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 series for plot
```python
size1 = 10
x1 = list(range(size1))
y1 = np.random.randint(low=10, high=148, size=size1).tolist()
s1 = [{"x": x, "y": y} for x, y in zip(x1, y1)]
size2 = 30
x2 = list(range(size2))
y2 = np.random.randint(low=0, high=300, size=size2).tolist()
s2 = [(x, y) for x, y in zip(x2, y2)]
data_max = {"title": "Max", "series": [{"name": "Max", "data": s1}]}
data_denis = {"title": "Denis", "series": [{"name": "Denis", "data": s2}]}
data_all = {
"title": "Max vs Denis",
"series": [{"name": "Max", "data": s1}, {"name": "Denis", "data": s2}]
}
```
### Initialize `GridChart` widget
```python
grid_chart = GridChart(data=[data_max, data_denis, data_all], columns=2)
```
### Create app layout
Prepare a layout for an app using a `Card` widget with the `content` parameter and place widget that we've just created in the `Container` widget.
```python
card = Card(
title="GridChart",
content=grid_chart,
)
layout = Container(widgets=[card], direction="vertical")
```
### Create an app using a layout
Create an app object with a layout parameter.
```python
app = sly.Application(layout=layout)
```
---
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