Last update: 22.05.2020 15:47:17 # Sample code generated by DasData www.DasData.co import requests import pandas as pd import matplotlib.pyplot as plt plt.style.use('seaborn-whitegrid') import numpy as np %matplotlib inline data_url = 'https://DasData.co/e.aspx?das=Z+wLsgmBQ/3mKq0JXirmwWED3ac/pRvfsdmE8ynLOCJE44nlpnuG2msh4yTqCFlOOnzj2rN5hdie4oe3IqmY8Q==&from=0&to=500&json=1' response = requests.get(data_url, data={"limit" : "500"}) if response.status_code == 200: df = pd.DataFrame.from_records(response.json()) print(df) #==================================================================== df[['id','AIDate','Temp' ]] = df['Table'].apply(pd.Series) #==================================================================== df["AIDate"] = pd.to_datetime(df["AIDate"]) df.set_index('AIDate', inplace=True) df.head() Temp=df[['Temp']] #==================================================================== df_rm = pd.concat([Temp.rolling(12).mean()], axis=1) #==================================================================== df_rm.plot(figsize=(20,10), linewidth=2, fontsize=15) x = np.linspace(0, 10, 50) plt.xlabel('AIDate', fontsize=12);