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* Implement DataArray Type * Wops! forgot one example
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Original file line number | Diff line number | Diff line change |
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FROM python:3.9-slim | ||
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WORKDIR /app | ||
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RUN pip install numpy | ||
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COPY compute.py . | ||
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CMD ["python", "compute.py"] |
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IMAGE_NAME = plotly-data-generator | ||
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all: build run | ||
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build: | ||
@docker build -t $(IMAGE_NAME) . | ||
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run: | ||
@docker run --rm $(IMAGE_NAME) | ||
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clean: | ||
@docker rmi $(IMAGE_NAME) |
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Original file line number | Diff line number | Diff line change |
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import numpy as np | ||
import json | ||
import base64 | ||
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# Generate Z data using NumPy | ||
# Let's create a similar 3x5 matrix with some values | ||
z = np.array([ | ||
[1, np.nan, 30, 50, 1], | ||
[20, 1, 60, 80, 30], | ||
[30, 60, 1, -10, 20] | ||
]) | ||
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dtype = z.dtype | ||
bdata = z.tobytes() # Binary data representation | ||
shape = z.shape | ||
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# Encode the binary data as a base64 string | ||
z_bdata_base64 = base64.b64encode(bdata).decode('utf-8') | ||
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# Create the dictionary that represents the JSON object | ||
z_data = { | ||
'dtype': str(dtype), | ||
'shape': shape, | ||
'bdata': z_bdata_base64 | ||
} | ||
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# Convert the dictionary to a JSON object | ||
json_data = json.dumps(z_data, indent=2) | ||
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# Output the JSON object | ||
print(json_data) |
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Original file line number | Diff line number | Diff line change |
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package main | ||
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import ( | ||
"encoding/json" | ||
"os/exec" | ||
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grob "github.com/MetalBlueberry/go-plotly/generated/v2.31.1/graph_objects" | ||
"github.com/MetalBlueberry/go-plotly/pkg/offline" | ||
"github.com/MetalBlueberry/go-plotly/pkg/types" | ||
) | ||
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func main() { | ||
// https://plotly.com/javascript/heatmaps/ | ||
// var data = [ | ||
// { | ||
// z: [[1, null, 30, 50, 1], [20, 1, 60, 80, 30], [30, 60, 1, -10, 20]], | ||
// x: ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday'], | ||
// y: ['Morning', 'Afternoon', 'Evening'], | ||
// type: 'heatmap', | ||
// hoverongaps: false | ||
// } | ||
// ]; | ||
zJSON, err := exec.Command("make").Output() | ||
if err != nil { | ||
panic(err) | ||
} | ||
type bdata struct { | ||
DType types.DType | ||
Shape []int | ||
BData []byte | ||
} | ||
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z := &bdata{} | ||
err = json.Unmarshal(zJSON, z) | ||
if err != nil { | ||
panic(err) | ||
} | ||
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fig := &grob.Fig{ | ||
Data: []types.Trace{ | ||
&grob.Heatmap{ | ||
X: types.DataArray([]string{"Monday", "Tuesday", "Wednesday", "Thursday", "Friday"}), | ||
Y: types.DataArray([]string{"Morning", "Afternoon", "Evening"}), | ||
Z: types.BDataArray(z.DType, z.BData, z.Shape), | ||
Hoverongaps: types.False, | ||
}, | ||
}, | ||
} | ||
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offline.Show(fig) | ||
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} |
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