pandas dataframe get column names and types
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Certainly! In this tutorial, I'll guide you through the process of obtaining column names and types from a Pandas DataFrame in Python. We'll use code examples to illustrate each step.
Before we start, make sure you have Pandas installed. If not, you can install it using the following command:
Now, let's import the Pandas library in your Python script or Jupyter Notebook:
For the purpose of this tutorial, let's create a simple DataFrame:
To retrieve the column names of the DataFrame, you can use the columns attribute:
To obtain the data types of each column, you can use the dtypes attribute:
If you want to get both column names and types together, you can use the info() method:
The info() method provides a concise summary of the DataFrame, including information about the data types and non-null values.
This tutorial should help you understand how to retrieve column names and types from a Pandas DataFrame using Python. Feel free to adapt this example to your specific use case!
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