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2 years ago
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
import warnings
warnings.filterwarnings('ignore') 
pd.set_option('display.max_columns', 50)
bike=pd.read_csv('day.csv')
bike.head()
bike.info()
<class 'pandas.core.frame.DataFrame'> RangeIndex: 730 entries, 0 to 729 Data columns (total 16 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 instant 730 non-null int64 1 dteday 730 non-null object 2 season 730 non-null int64 3 yr 730 non-null int64 4 mnth 730 non-null int64 5 holiday 730 non-null int64 6 weekday 730 non-null int64 7 workingday 730 non-null int64 8 weathersit 730 non-null int64 9 temp 730 non-null float64 10 atemp 730 non-null float64 11 hum 730 non-null float64 12 windspeed 730 non-null float64 13 casual 730 non-null int64 14 registered 730 non-null int64 15 cnt 730 non-null int64 dtypes: float64(4), int64(11), object(1) memory usage: 91.4+ KB 
bike.describe()