Learn practical skills, build real-world projects, and advance your career
import numpy as np
import pandas as pd
data = pd.read_csv('/Users/Anshaj/Downloads/forestfires.csv')
data.head()
data.info()
<class 'pandas.core.frame.DataFrame'> RangeIndex: 517 entries, 0 to 516 Data columns (total 13 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 X 517 non-null int64 1 Y 517 non-null int64 2 month 517 non-null object 3 day 517 non-null object 4 FFMC 517 non-null float64 5 DMC 517 non-null float64 6 DC 517 non-null float64 7 ISI 517 non-null float64 8 temp 517 non-null float64 9 RH 517 non-null int64 10 wind 517 non-null float64 11 rain 517 non-null float64 12 area 517 non-null float64 dtypes: float64(8), int64(3), object(2) memory usage: 52.6+ KB
df = data[['X','Y','day','FFMC','DMC']]
df = df.head()