Dataframe Slicing
Pandas Datafrane slicing is one of the most important operations.
Here’s how to do slicing in a pandas dataframe. Often, we are in need to select specific information from a dataframe and slicing let’s us fetch necessary rows, columns etc. In the below tutorial we select specific rows and columns as per our requirement.
# Imports
import pandas as pd
# Let's create a pandas dataframe
df = pd.DataFrame({"Name": ['Joyce', 'Joy', 'Ram', 'Maria'],
"Age": [19, 18, 20, 19]}, columns = ['Name', 'Age'])
print("Created dataframe: \n{}".format(df))
# Let's select those who have age 19
df_age19 = df[df.Age == 19]
print("Selected entries: \n{}".format(df_age19))
# Let's select only the name column
df_name = df['Name']
print("Selected entries: \n{}".format(df_name))
