Category: Python
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How to Dynamically Add new Rows to a Pandas DataFrame
This is a little trick I used to append new rows to a Pandas DataFrame. This method is similar to appending a new item to a list.
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How to Dynamically Format Pandas DataFrame Columns to be Database and Parquet Ready
Pandas allow for almost anything as a column header and I’ll show you how to get your columns parquet and database ready.
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How to Compare the Schema Between Two Pandas DataFrames
Having consistent schemas between two Pandas DataFrames is essential when saving to Parquet and for merging operations.
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How to Dynamically get the Last Day of the Month in Python
Using pandas and the datetime module, you can dynamically get the last day of the month.
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How to Setup PySpark in a Jupyter Notebook in 2 Steps on a Mac
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How to Dynamically Convert Pandas Object Columns to a String Data Type
Since Pandas allows you to have mixed data type columns, converting them to a string data type can be essential when exporting the data.
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How to Return Pandas DataFrame dtypes as a Dictionary
Using a dictionary to set the data types for a Pandas DataFrame gives you greater control over the schema.
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How to Compare Two Pandas DataFrame Columns
Comparing columns in a DataFrame is essential when trying to concatenate two Pandas DataFrames with a lot of columns.
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How to Pull Jira using JQL with Python and Pandas
In this post, I’ll walk you through pulling Jira issues from the API using JQL with Python Pandas.
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How to Install Spark on Google Colab
Installing Spark on your local machine can be a pain. In this post, I’ll show you how to install Spark on Google Colab so that you can easily get going with PySpark.