Question: please check and correct below python code and give the input python program code and output run evidence. import time import pandas as pd import

please check and correct below python code and give the input python program code and output run evidence. import time
import pandas as pd
import matplotlib.pyplot as plt
class SimplePVSystem:
def __init__(self):
self.pstc =410 # W
self.tstc =25 # \u00b0C
self.gamma =-0.0034 # /\u00b0C
self.mount_temp_rise ={'pole': 25,'a-frame': 30, 'roof': 35}
self.months =['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun',
'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec']
def calculate_power(self, ambient_temp, mounting='roof'):
t_cell = ambient_temp + self.mount_temp_rise[mounting]
p_derated = self.pstc *(1+ self.gamma *(t_cell - self.tstc))
return round(p_derated, 1)
def analyze_regions(self, regions_data, mounting='roof'):
results ={}
timestamp = int(time.time())
# Calculate power for each region
for region, temps in regions_data.items():
power_outputs =[self.calculate_power(temp, mounting) for temp in temps]
results[region]={'temps': temps, 'power': power_outputs}
# Save individual report
filename = f'report_{region}_{timestamp}.txt'
with open(filename,'w') as f:
f.write(f"Analysis for {region}\
{'='*40}\
")
f.write("\
Month Temp(\u00b0C) Power(W)\
")
for month, temp, power in zip(self.months, temps, power_outputs):
f.write(f"{month:<10}{temp:>8.1f}{power:>10.1f}\
")
print(f"Saved report for {region}")
# Create summary plot
plt.figure(figsize=(12,6))
for region, data in results.items():
plt.plot(self.months, data['power'], marker='o', label=region)
plt.title('PV Module Power Output by Region')
plt.xlabel('Month')
plt.ylabel('Power Output (W)')
plt.legend()
plt.grid(True)
plt.savefig(f'pv_analysis_plot_{timestamp}.png')
plt.close()
# Save Excel summary
df_dict ={}
for region, data in results.items():
df_dict[region]= pd.DataFrame({
'Month': self.months,
'Temperature': data['temps'],
'Power': data['power']
})
with pd.ExcelWriter(f'pv_summary_{timestamp}.xlsx') as writer:
for region, df in df_dict.items():
df.to_excel(writer, sheet_name=region, index=False)
return results
# Example usage
regions ={
'Sydney': [25,26,24,22,20,18,17,19,21,23,24,25],
'Newcastle': [24,25,23,21,19,17,16,18,20,22,23,24],
'Wollongong': [23,24,22,20,18,16,15,17,19,21,22,23],
'Central Coast': [24,25,23,21,19,17,16,18,20,22,23,24],
'Blue Mountains': [20,21,19,17,15,13,12,14,16,18,19,20]
}
# Run analysis
pv = SimplePVSystem()
results = pv.analyze_regions(regions, mounting='roof')
# Print summary statistics
print("\
Summary Statistics:")
print("="*50)
for region, data in results.items():
avg_power = sum(data['power'])/ len(data['power'])
max_power = max(data['power'])
min_power = min(data['power'])
print(f"\

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