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Performing Analysis of Meteorological Data

 import numpy as np

import pandas as pd

import matplot.pyplot as plt

file_path = "C:/Users/user/Downloads/wetherHistory.csv"

file = pd.read_csv(file_path)

titles_req = ["Formatted Date","Apparent Temerature(c)","Humidity"]

df = files[titles_req]

df['Formatted Date'] = pd.to_datetime(df['Formatted Date'],utc=True)

df_1 = df.set_index('Formatted Dates')

df_1 = df_1.resample('MS').mean()

df_1.head()

plt.figure(figsize(14,6))

plt.title("Variation in apperent temperature and Humidity with time")

plt.plot(df_1)

df_april = df_1[df_1.index.month==4]

plt.figure(figsize=(14,6))

plt.plot(df_april)


Comments


  1. Very Informative and creative contents. This concept is a good way to enhance the knowledge. thanks for sharing.
    Continue to share your knowledge through articles like these, and keep posting more blogs.
    And more Information Data scraping service in Australia

    ReplyDelete

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