Pandas sort dataframe column by multiple fields
[DOCX File]Punjabi University
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:Features of Python for data science, Introduction to various Python libraries for data science, Basics of NumPy, creating and indexing arrays, Installing and importing Pandas, Creating DataFrames, DataFrame attributes, Reading data, DataFrame operations. Handling duplicates, Dealing with missing values, Removing null values, Imputation.
[DOCX File]Database Setup - Virginia Tech
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First data is loaded into the Pandas dataframe. Then a short feature engineering step is accomplished to break down the timestamps of each data point into minutes, hours, days of the week, and months. Before the model can be utilized features are scaled and sequences are created. Each sequence contains 10 data steps from the history.
Easy and quick approach to develop complex pivot table ...
Slice the needed dataframe columns (from step-1) and apply summarization functions one at a time over the column fields using ‘groupby’ pandas method. For eg: if count, sum and weighted average are values to be calculated - create a data type of dtype for each of the 3 functions.
[DOCX File]Table of Figures - Virginia Tech
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Figure 4: Importing CSV files from Google Drive: Figure 5: An example of a list of keywords with stock ticker: Figure 6: CAR values for stock categories
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