mpl_mcp_plot_scatter
Generate scatter plots to visualize relationships between numerical datasets. Customize labels, colors, markers, and layout for clear data representation using Matplotlib integration on Fermat MCP.
Instructions
Plots scatter chart of given datavalues
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| alpha | No | ||
| color | No | blue | |
| dpi | No | ||
| edgecolors | No | face | |
| figsize | No | ||
| grid | No | ||
| labels | No | ||
| legend | No | ||
| linewidths | No | ||
| marker | No | o | |
| save | No | ||
| size | No | ||
| title | No | ||
| x_data | Yes | ||
| xlabel | No | ||
| y_data | Yes | ||
| ylabel | No |
Input Schema (JSON Schema)
{
"properties": {
"alpha": {
"default": 0.7,
"title": "Alpha",
"type": "number"
},
"color": {
"anyOf": [
{
"type": "string"
},
{
"items": {
"type": "string"
},
"type": "array"
}
],
"default": "blue",
"title": "Color"
},
"dpi": {
"default": 200,
"title": "Dpi",
"type": "integer"
},
"edgecolors": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": "face",
"title": "Edgecolors"
},
"figsize": {
"anyOf": [
{
"items": {
"type": "integer"
},
"type": "array"
},
{
"type": "null"
}
],
"default": null,
"title": "Figsize"
},
"grid": {
"default": true,
"title": "Grid",
"type": "boolean"
},
"labels": {
"anyOf": [
{
"type": "string"
},
{
"items": {
"type": "string"
},
"type": "array"
},
{
"type": "null"
}
],
"default": null,
"title": "Labels"
},
"legend": {
"default": false,
"title": "Legend",
"type": "boolean"
},
"linewidths": {
"default": 1,
"title": "Linewidths",
"type": "number"
},
"marker": {
"default": "o",
"title": "Marker",
"type": "string"
},
"save": {
"default": false,
"title": "Save",
"type": "boolean"
},
"size": {
"anyOf": [
{
"type": "integer"
},
{
"type": "number"
},
{
"items": {
"type": "number"
},
"type": "array"
}
],
"default": 36,
"title": "Size"
},
"title": {
"default": "",
"title": "Title",
"type": "string"
},
"x_data": {
"items": {
"type": "number"
},
"title": "X Data",
"type": "array"
},
"xlabel": {
"default": "",
"title": "Xlabel",
"type": "string"
},
"y_data": {
"items": {
"type": "number"
},
"title": "Y Data",
"type": "array"
},
"ylabel": {
"default": "",
"title": "Ylabel",
"type": "string"
}
},
"required": [
"x_data",
"y_data"
],
"type": "object"
}