import pandas as pd from matplotlib import pyplot as plt columns = ["Rec","Trans","Total"] data_frame = pd.read_csv("trans.csv",sep = ",") print("CSV Data:\n",data_frame) fig, axs = plt.subplots(1, 2, figsize=(9, 3), sharey=False) axs[0].plot(data_frame.index,data_frame.Trans, label="Transfered - GB",c='Red') axs[0].plot(data_frame.index,data_frame.Rec,label="Received - GB",c='Green') #Convert GB into kb per second per day seconds_in_day = 24*60*60 gb_to_kb=1024.0*1024.0 average_kb_per_day = gb_to_kb/seconds_in_day data_frame_kbs=data_frame.copy(deep=True) print(data_frame_kbs) data_frame_kbs["Rec"]=data_frame_kbs['Rec'].mul(average_kb_per_day) data_frame_kbs["Trans"]=data_frame_kbs['Trans'].mul(average_kb_per_day) axs[1].plot(data_frame_kbs.index,data_frame_kbs.Trans,label="Kbs/s/d",c='Red') axs[1].plot(data_frame_kbs.index,data_frame_kbs.Rec,label="Kbs/s/d",c='Green') axs[0].legend() axs[1].legend() plt.show()