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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:
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
URL for read_html:
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
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