Exploring Data [1/3]
What can you do with loaded data? First, you need to explore it.
You can get the first or the last n rows of DataFrame. To get the first n rows apply the .head(n) method. To get the last n - apply the .tail(n) method.
Default value of the parameter
nis5(i.e., if you don't write it, then5rows will be printed).
12345678910# Importing library import pandas as pd # Reading csv file df = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/67798cef-5e7c-4fbc-af7d-ae96b4443c0a/audi.csv') # The first 5 rows print(df.head()) # or df.head(5) # The last 3 rows print(df.tail(3))
To get n sample rows, apply the .sample(n) method. Default value for n in this method is 1.
12345678# Importing library import pandas as pd # Reading csv file df = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/67798cef-5e7c-4fbc-af7d-ae96b4443c0a/audi.csv') # 2 random rows print(df.sample(2))
Kiitos palautteestasi!
Kysy tekoälyä
Kysy tekoälyä
Kysy mitä tahansa tai kokeile jotakin ehdotetuista kysymyksistä aloittaaksesi keskustelumme
Awesome!
Completion rate improved to 3.33Exploring Data [1/3]
Pyyhkäise näyttääksesi valikon
What can you do with loaded data? First, you need to explore it.
You can get the first or the last n rows of DataFrame. To get the first n rows apply the .head(n) method. To get the last n - apply the .tail(n) method.
Default value of the parameter
nis5(i.e., if you don't write it, then5rows will be printed).
12345678910# Importing library import pandas as pd # Reading csv file df = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/67798cef-5e7c-4fbc-af7d-ae96b4443c0a/audi.csv') # The first 5 rows print(df.head()) # or df.head(5) # The last 3 rows print(df.tail(3))
To get n sample rows, apply the .sample(n) method. Default value for n in this method is 1.
12345678# Importing library import pandas as pd # Reading csv file df = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/67798cef-5e7c-4fbc-af7d-ae96b4443c0a/audi.csv') # 2 random rows print(df.sample(2))
Kiitos palautteestasi!
