PyScript Testing

- pandas - matplotlib

import matplotlib.pyplot as plt import pandas as pd import json plt.style.use("dark_background") r = [{"DATE":"2021-06-18 00:00:00.000","COUNT_TRANSACTIONS":73,"LABEL":"Successful"},{"DATE":"2021-06-18 00:00:00.000","COUNT_TRANSACTIONS":8,"LABEL":"Failed"},{"DATE":"2021-06-19 00:00:00.000","COUNT_TRANSACTIONS":5391,"LABEL":"Failed"},{"DATE":"2021-06-19 00:00:00.000","COUNT_TRANSACTIONS":16390,"LABEL":"Successful"},{"DATE":"2021-06-20 00:00:00.000","COUNT_TRANSACTIONS":22560,"LABEL":"Successful"},{"DATE":"2021-06-20 00:00:00.000","COUNT_TRANSACTIONS":2732,"LABEL":"Failed"},{"DATE":"2021-06-21 00:00:00.000","COUNT_TRANSACTIONS":1524,"LABEL":"Failed"},{"DATE":"2021-06-21 00:00:00.000","COUNT_TRANSACTIONS":19422,"LABEL":"Successful"},{"DATE":"2021-06-22 00:00:00.000","COUNT_TRANSACTIONS":27218,"LABEL":"Successful"},{"DATE":"2021-06-22 00:00:00.000","COUNT_TRANSACTIONS":5378,"LABEL":"Failed"},{"DATE":"2021-06-23 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00:00:00.000","COUNT_TRANSACTIONS":198105,"LABEL":"Failed"},{"DATE":"2022-05-19 00:00:00.000","COUNT_TRANSACTIONS":227392,"LABEL":"Successful"},{"DATE":"2022-05-20 00:00:00.000","COUNT_TRANSACTIONS":219137,"LABEL":"Successful"},{"DATE":"2022-05-20 00:00:00.000","COUNT_TRANSACTIONS":206241,"LABEL":"Failed"},{"DATE":"2022-05-21 00:00:00.000","COUNT_TRANSACTIONS":202483,"LABEL":"Successful"},{"DATE":"2022-05-21 00:00:00.000","COUNT_TRANSACTIONS":220785,"LABEL":"Failed"},{"DATE":"2022-05-22 00:00:00.000","COUNT_TRANSACTIONS":209984,"LABEL":"Successful"},{"DATE":"2022-05-22 00:00:00.000","COUNT_TRANSACTIONS":245025,"LABEL":"Failed"},{"DATE":"2022-05-23 00:00:00.000","COUNT_TRANSACTIONS":230306,"LABEL":"Successful"},{"DATE":"2022-05-23 00:00:00.000","COUNT_TRANSACTIONS":242399,"LABEL":"Failed"},{"DATE":"2022-05-24 00:00:00.000","COUNT_TRANSACTIONS":260180,"LABEL":"Failed"},{"DATE":"2022-05-24 00:00:00.000","COUNT_TRANSACTIONS":219099,"LABEL":"Successful"},{"DATE":"2022-05-25 00:00:00.000","COUNT_TRANSACTIONS":232338,"LABEL":"Successful"},{"DATE":"2022-05-25 00:00:00.000","COUNT_TRANSACTIONS":271437,"LABEL":"Failed"},{"DATE":"2022-05-26 00:00:00.000","COUNT_TRANSACTIONS":233470,"LABEL":"Failed"},{"DATE":"2022-05-26 00:00:00.000","COUNT_TRANSACTIONS":245874,"LABEL":"Successful"},{"DATE":"2022-05-27 00:00:00.000","COUNT_TRANSACTIONS":238416,"LABEL":"Successful"},{"DATE":"2022-05-27 00:00:00.000","COUNT_TRANSACTIONS":206725,"LABEL":"Failed"},{"DATE":"2022-05-28 00:00:00.000","COUNT_TRANSACTIONS":17483,"LABEL":"Failed"},{"DATE":"2022-05-28 00:00:00.000","COUNT_TRANSACTIONS":23187,"LABEL":"Successful"}] df = pd.DataFrame(r) df["DATE"] = pd.to_datetime(df["DATE"]) succ = df[df["LABEL"] == "Successful"] fail = df[df["LABEL"] == "Failed"] fig, ax = plt.subplots(figsize=(12,8)) ax.plot(succ["DATE"],succ["COUNT_TRANSACTIONS"],label="Successful Transactions") ax.plot(fail["DATE"],fail["COUNT_TRANSACTIONS"],label="Failed Transactions") ax.set_xlabel("Date") ax.set_ylabel("Count") ax.set_title("Number of transactions by TX_STATUS") ax.legend() fig