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name: Cleanup Old Pre-Releases | ||
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on: | ||
workflow_dispatch: # Allows manual triggering | ||
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jobs: | ||
cleanup: | ||
runs-on: ubuntu-latest | ||
steps: | ||
- name: Cleanup old dev releases | ||
id: cleanup | ||
env: | ||
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} | ||
run: | | ||
sh tools/release/cleanup_dev_releases.sh |
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# Copyright 2021-2024 Avaiga Private Limited | ||
# | ||
# Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with | ||
# the License. You may obtain a copy of the License at | ||
# | ||
# http://www.apache.org/licenses/LICENSE-2.0 | ||
# | ||
# Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on | ||
# an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the | ||
# specific language governing permissions and limitations under the License. | ||
# ----------------------------------------------------------------------------------------- | ||
# To execute this script, make sure that the taipy-gui package is installed in your | ||
# Python environment and run: | ||
# python <script> | ||
# ----------------------------------------------------------------------------------------- | ||
import os | ||
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import matplotlib.pyplot as plt | ||
from taipy.gui import Gui, Markdown | ||
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# Generate a scatter plot | ||
x = [1, 2, 3, 4, 5] # x axis values | ||
y = [10, 14, 12, 15, 18] # y axis values | ||
sizes = [100, 100, 100, 100, 100] # Bubble sizes | ||
colors = [30, 40, 50, 60, 70] # Bubble color values that will be mapped to shades of colormap (cmap) | ||
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# Scatter plot | ||
# The `c` parameter uses the `colors` list to map values to the colormap (cmap) | ||
# The `edgecolors` parameter sets the color of the edges around the bubbles | ||
plt.scatter(x, y, s=sizes, c=colors, cmap='Greens', edgecolors='black', linewidths=1) | ||
plt.xlabel('X-axis') | ||
plt.ylabel('Y-axis') | ||
plt.title('Matplotlib 2D Scatter Plot') | ||
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# Adding labels next to each point | ||
for i in range(len(x)): | ||
plt.text(x[i] + 0.1, y[i] - 0.1, f'Point {i+1}', fontsize=9, ha='left') | ||
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# Creating legend entries for each point | ||
# Each entry corresponds to a point, with the color and label indicating the point's position. | ||
# The `markerfacecolor` sets the fill color of the legend marker to match the point's color in the 'Greens' colormap. | ||
# The `markeredgecolor` sets the edge color of the legend marker. | ||
# The `markeredgewidth` sets the width of the edge. | ||
handles = [ | ||
plt.Line2D( | ||
[0], [0], marker='o', color='w', | ||
markerfacecolor=plt.cm.Greens(color / max(colors)), | ||
markersize=10, # Adjust the size for visibility | ||
label=f'Point {i+1}', | ||
markeredgewidth=1, # Thickness of the edge color | ||
markeredgecolor='black' # Edge color to match the plot | ||
) for i, color in enumerate(colors) | ||
] | ||
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# Placing the legend on the left side of the chart | ||
plt.legend(handles=handles, title="Points", loc="center left", bbox_to_anchor=(1, 0.5), frameon=True) | ||
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# Adjust the layout to ensure everything fits and nothing is clipped | ||
plt.tight_layout(rect=[0, 0, 1, 1]) | ||
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# Save the figure as a PNG image | ||
output_dir = './images' | ||
if not os.path.exists(output_dir): | ||
os.makedirs(output_dir) | ||
content = "./images/figure.png" | ||
plt.savefig(content) | ||
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# Define Taipy page content | ||
page_content = Markdown(""" | ||
# Matplotlib 2D Scatter Plot | ||
<|{content}|image|class_name=scatter-plot|> | ||
""", style={ | ||
".scatter-plot": { | ||
"display": "block", | ||
"margin": "auto", | ||
"max-width": "100% !important", | ||
"width": "max-content !important", | ||
"height": "max-content !important" | ||
} | ||
}) | ||
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if __name__ == "__main__": | ||
Gui(page_content).run(title="Chart-Scatter-Matplotlib") |
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{ | ||
"name": "Sample Data", | ||
"type": "Example JSON", | ||
"attributes": { | ||
"id": 123, | ||
"description": "A simple JSON structure for demonstration", | ||
"values": [ | ||
1, | ||
2, | ||
3, | ||
4, | ||
5 | ||
], | ||
"nested": { | ||
"flag": true, | ||
"count": 10 | ||
} | ||
} | ||
} |
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import taipy as tp | ||
import taipy.gui.builder as tgb | ||
from taipy import Config, Orchestrator, Scope | ||
from taipy.gui import Gui | ||
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json_config_node = Config.configure_json_data_node( | ||
id="json_node", | ||
default_path="./datanode_viewer_json.json", | ||
scope=Scope.GLOBAL, | ||
) | ||
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with tgb.Page() as data_node_viewer: | ||
tgb.data_node( | ||
data_node="{json_data_node}" | ||
) | ||
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gui = Gui(page=data_node_viewer) | ||
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if __name__ == "__main__": | ||
Orchestrator().run() | ||
json_data_node = tp.create_global_data_node(json_config_node) | ||
gui.run(title="Datanode Viewer - json support") |
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