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Course Notes

Use this workspace to take notes, store code snippets, and build your own interactive cheatsheet!

Note that the data from the course is not yet added to this workspace. You will need to navigate to the course overview page, download any data you wish to use, and add it to the file browser.

# Import any packages you want to use here

# Add your code snippets here
import pandas as pd 
import matplotlib.pyplot as plt
import seaborn as sns
from datetime import datetime
%matplotlib inline
dogs = pd.read_csv('dogs1.csv')
dogs
nba = pd.read_csv('nba.csv')
nba
export = pd.read_csv('export products2011.csv')
export
nba = pd.read_csv('nba.csv')
nba.head()
dogs = pd.read_csv('dogs1.csv')
dogs.head(5)

Take Notes

Add notes here about the concepts you've learned and code cells with code you want to keep.

Add your notes here

In this workspace we use

pandas DATAFRAME chart

Use some Manipulating data

1. Pandas dataframe bar plot

2. Pandas dataframe scatter plot

3. Pandas dataframe box plot

4. Pandas dataframe line plot

5. Pandas dataframe basic plot

Seaborn:

1.barplot

2.boxplot

3. relplot

4.hisplot

Selecting DataFrame

You can subset or selecting dataframe using loc for label and iloc for index

# Subset DataFrame 
subset_dogs = dogs[["name", "weight", "breed"]]
subset_dogs.head()
# Take single column 
name = subset_dogs.name
name.head()
# or
subset_dogs['name'].head()
dogs.sample(3)
# Take first row
dogs.iloc[0]
# Take rows by index (position) take second row all columns
dogs.iloc[1, :]
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