Understanding Basics of Pandas and DataFrames | Python for Data Analysis | Jan 2025
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Explanation of basics of pandas library and working with dataframes in python using Jupyter notebook for data analysis.
URL for read_html:
https://www.fdic.gov/bank-failures/failed-bank-list?combine=&items_per_page=All
Chapters:
0:00 - Intro
1:27 - Importing libraries & building a dataframe
3:45 - Conditional selection & indexing
12:18 - Reset & Set Index
17:08 - Multi-Index DataFrames
25:12 - Missing Data (dropna & fillna)
31:10 - Groupby object
37:32 - Concatenation, Merging & Joining DataFrames
45:30 - Finding unique values
48:36 - Apply method
51:07 - Index & Column Names
51:08 - Sorting a dataframe
53:08 - Checking for null values (isnull & isna)
53:45 - Pivot Table
56:08 - Data input & output (csv, excel & html)
#python #pandas #dataframes #pandasdataframe #pandasfunctions #pythonfunctions #pythonmethods
Python
Python notebook
jupyter notebook
data analysis
python data analysis
data science
pandas
series
dataframes
pandas dataframes
python dataframe
dataframe operations
python conditional selection
multiple conditional selection
set index
reset index
groupby
groupby object
groupby in python
concatenation
merge function
join dataframe
pivot table
import data
export data
import csv file
import excel file
import html
export csv file
export excel file
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