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    To write a excel using the data from json. 
  
        
  
    
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  | import pandas as pd | |
| import json | |
| def readJson(filename,) -> dict: | |
| """ | |
| Reads a json file and returns a dictionary | |
| """ | |
| file = open(filename, 'r') | |
| data = file.read() | |
| file.close() | |
| jsonData = json.loads(data) | |
| return jsonData | |
| def getDataframe(jsonData, metricName) -> pd.DataFrame: | |
| """ | |
| Returns a dataframe with the following columns: | |
| """ | |
| df = pd.DataFrame(jsonData[metricName]) | |
| df["metric1"] = jsonData["metric1"] | |
| df["metric2"] = jsonData["metric2"] | |
| df = df[["metric1", "metric2", "x", "y"]] | |
| return df | |
| def writeExcel(dataframe, filepath) -> None: | |
| """ | |
| Writes the dataframe to an excel file | |
| """ | |
| dataframe.to_excel(filepath, index=False) | |
| print("Excel file written successfully to: ", filepath) | |
| if __name__ == "__main__": | |
| # Read json file, create dataframe, write to excel | |
| jsonData = readJson(filename='transaction-fees.json',) | |
| df = getDataframe(jsonData= jsonData, metricName="transaction-fees") | |
| writeExcel(dataframe= df, filepath='transact.xlsx') | |
| # Read json file, create dataframe, write to excel | |
| jsonData = readJson(filename='hash-rate.json',) | |
| df = getDataframe(jsonData= jsonData, metricName='hash-rate') | |
| writeExcel(dataframe=df, filepath='hash-rate.xlsx') | |
| print("Done writing excel files to current directory ...") | 
  
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