80 lines
2.5 KiB
Python
80 lines
2.5 KiB
Python
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import pandas as pd
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import matplotlib.pyplot as plt
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# Load the CSV file
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file_path = r'C:\Users\a_gabald\Desktop\solar_different_efficiencies.csv' # Replace with your file path
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data = pd.read_csv(file_path)
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# Assuming the CSV has a datetime column, parse it
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data['datetime'] = pd.date_range(start='1/1/2023', periods=8760, freq='h')
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# Set the datetime column as the index
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data.set_index('datetime', inplace=True)
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# Resample the data to monthly data
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monthly_data = data.resample('ME').sum()
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# Extract data for different efficiencies
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monthly_16_horizontal = monthly_data['district MWh Horizontal_16%']
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monthly_18_horizontal = monthly_data['district MWh Horizontal_18%']
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monthly_14_horizontal = monthly_data['district MWh Horizontal_14%']
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monthly_16_tilted = monthly_data['district MWh tilted_16%']
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monthly_18_tilted = monthly_data['district MWh tilted_18%']
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monthly_14_tilted = monthly_data['district MWh tilted_14%']
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# Combine the data into a single DataFrame for easier plotting
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combined_data_horizontal = pd.DataFrame({
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'Month': monthly_data.index.month,
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'Horizontal_16%': monthly_16_horizontal,
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'Horizontal_18%': monthly_18_horizontal,
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'Horizontal_14%': monthly_14_horizontal
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})
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combined_data_tilted = pd.DataFrame({
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'Month': monthly_data.index.month,
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'Tilted_16%': monthly_16_tilted,
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'Tilted_18%': monthly_18_tilted,
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'Tilted_14%': monthly_14_tilted
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})
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# Function to plot box and whisker plot
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import numpy as np
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# Function to plot box and whisker plot
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import matplotlib.pyplot as plt
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# Function to plot error bars
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def plot_error_bars(data, title, ylabel):
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fig, ax = plt.subplots(figsize=(14, 8))
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months = range(1, 13)
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means_16 = []
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err_low = []
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err_high = []
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for month in months:
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month_data = data[data['Month'] == month]
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mean_16 = month_data.iloc[:, 1].mean()
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low_14 = month_data.iloc[:, 3].mean()
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high_18 = month_data.iloc[:, 2].mean()
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means_16.append(mean_16)
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err_low.append(mean_16 - low_14)
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err_high.append(high_18 - mean_16)
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ax.errorbar(months, means_16, yerr=[err_low, err_high], fmt='o', capsize=5, capthick=2, ecolor='gray')
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ax.set_xticks(months)
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ax.set_xticklabels(['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec'])
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ax.set_xlabel('Month')
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ax.set_ylabel(ylabel)
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ax.set_title(title)
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plt.show()
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# Plot for Horizontal
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plot_error_bars(combined_data_horizontal, 'Monthly District MWh (Horizontal)', 'MWh')
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# Plot for Tilted
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plot_error_bars(combined_data_tilted, 'Monthly District MWh (Tilted)', 'MWh')
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