Created
June 8, 2023 12:11
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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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Thank you, Mahimai!
it is works! :)