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!pip install pandas numpy matplotlib seaborn --quiet
!pip install opendatasets scikit-learn jovian --quiet --upgrade
|████████████████████████████████| 22.3MB 133kB/s |████████████████████████████████| 71kB 5.8MB/s Building wheel for uuid (setup.py) ... done
import opendatasets as od
import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd
import numpy as np
import matplotlib
import jovian
import os
%matplotlib inline

pd.set_option('display.max_columns', None)
pd.set_option('display.max_rows', 150)
sns.set_style('darkgrid')
matplotlib.rcParams['font.size'] = 14
matplotlib.rcParams['figure.figsize'] = (10, 6)
matplotlib.rcParams['figure.facecolor'] = '#00000000'
 
od.download('https://www.kaggle.com/jsphyg/weather-dataset-rattle-package')
Please provide your Kaggle credentials to download this dataset. Learn more: http://bit.ly/kaggle-creds Your Kaggle username: abhiramdegwekar Your Kaggle Key: ··········
100%|██████████| 3.83M/3.83M [00:00<00:00, 139MB/s]
Downloading weather-dataset-rattle-package.zip to ./weather-dataset-rattle-package
os.listdir('weather-dataset-rattle-package')
['weatherAUS.csv']