🐍 Python Data Analysis with the Pandas Library 📊📈
The easiest way to install Pandas is with pip. Type in your console:
pip install pandas Print 10 Rows from a Dateframe using an Integer Index from 10-20. (Method .iloc[from:to])
import pandas as pd df = pd.read_csv("new_york_city.csv") # Print 10 Rows from Dateframe using an Integer Index from 10-20 print(df.iloc[10:20]) Print the first 10 Rows from a Dateframe. (Method .head(10))
import pandas as pd df = pd.read_csv("new_york_city.csv") # Print the first 10 Rows from the Dateframe print(df.head(10)) Print 10 Rows from a Dateframe using an Integer Index from 0-10 and sort them with an attribute. (Method .sort_values(["Start Time"]))
import pandas as pd df = pd.read_csv("new_york_city.csv") # Prints the first 10 Rows, sorted by Start Time print(df.iloc[0:10].sort_values(["Start Time"])) 
