forked from Silias-Public/Sonnendach
40 lines
1.4 KiB
Python
40 lines
1.4 KiB
Python
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import matplotlib.pyplot as plt
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import numpy as np
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def create_barchart(barChartMonth, barChartData, color, image_folder_barcharts, image_filename):
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barChartMonth.reverse()
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barChartData.reverse()
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max_wert = max(barChartData)
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min_wert = min(barChartData)
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skala = max_wert + max_wert * 0.1
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plt.figure(figsize=(7, 3))
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plt.bar(barChartMonth, barChartData, color=color)
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plt.ylabel('Stromproduktion in Franken', fontsize=12)
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plt.ylim(0, skala)
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# Turn off the frame (border) around the graphic
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ax = plt.gca() # Get the current axis
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ax.spines['top'].set_visible(False)
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ax.spines['right'].set_visible(False)
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ax.spines['bottom'].set_visible(False)
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plt.xticks(barChartMonth)
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# Set the x-axis limits to remove extra space on the right
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# plt.xlim(barChartMonth[0], barChartMonth[-1])
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plt.savefig(f"{image_folder_barcharts}{image_filename}", bbox_inches='tight')
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plt.show()
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barChartMonth = [8, 7, 6, 5, 4, 3, 2, 1, 12, 11, 10, 9]
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barChartMonth = [str(item) for item in barChartMonth]
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barChartData=[612.9508602242413, 774.9497310367794, 905.1661458663121, 700.3920174038531, 455.8453881411557, 362.9725109507848, 243.91420489011418, 106.40652073925607, 98.73508056571949, 140.51124465669344, 293.31970563938467, 442.59112071461107]
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image_folder_barcharts = "barcharts/"
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image_filename = "test-file.png"
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color = "red"
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create_barchart(barChartMonth, barChartData, color, image_folder_barcharts, image_filename)
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