🐍 Python Data Analysis with the Pandas Library 📊📈

The easiest way to install Pandas is with pip. Type in your console:

pip install pandas 

Load a DateFrame from a CSV File. (Method .read_csv("your_csv_file.csv"))

import pandas as pd df = pd.read_csv("new_york_city.csv") 

Print 10 Rows from a Dateframe using an Integer Index from 10-20. (Method .iloc[from:to])

# Print 10 Rows from Dateframe with Integer Index from 10-20 print(df.iloc[10:20]) 

Print the first 10 Rows from a Dateframe. (Method .head(amount))

# 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"]))

# Prints the first 10 Rows, sorted by Start Time print(df.iloc[0:10].sort_values(["Start Time"])) 

Print 10 random Rows from a Dateframe. (Method .sample(amount))

# Print 10 random Rows from a Dateframe print(df.sample(10))