# Libraries import pandas as pd

# Dataframe created from a dictionary data1 = { "col1":[1,2,3,4,5,6,7,8,9,10], "col2":[11,12,13,14,15,16,17,18,19,20] } df = pd.DataFrame(data = data1) print(df)

# shape method help us to know the dimension of the df df.shape

df.shape[0]

df.shape[1]

# row*col df.size

df.ndim

# Dataframe created from a dictionary data2 = { "col1":[1,2,3,4,5,6,7,8], "col2":[11,12,13,14,15,16,17,18], "col3":["Car","Bike","Train","Plane","Ship","Aircraft","Mountain Bike","Scooter"], "col4":[True, False,True, False,True, False,True, False] } df = pd.DataFrame(data = data2) print(df)

print(df.set_index("col3"))

# the first 5 observations print(df.head()) # the first 3 observations #print(df.head(3))

# the last 5 observations print(df.tail()) # the last 2 observations #print(df.tail(2))

df1 = df.copy() print(df1)