Cheat Sheet: The pandas DataFrame Object


What is pandas Dataframe?

    DataFrame object: The pandas DataFrame is a two- dimensional table of data with column and row indexes. The columns are made up of pandas Series objects. Series object: an ordered, one-dimensional array of data with an index. All the data in a Series is of the same data type.

How to read Google Sheets data into a pandas Dataframe?

    I want to quickly share two ways of reading Google Sheets data into a pandas DataFrame through the .read_csv () method without having to safe the sheet locally first or having to use the GoogleAPI. All you need is a Google Sheets file with one or more sheets and of course some data.

How to import an Excel file into a pandas Dataframe?

    The following code shows how to use the read_excel () function to import this Excel file into a pandas DataFrame: Sometimes you may also have an Excel file in which one of the columns is an index column: In this case you can use index_col to tell pandas which column to use as the index column when importing:

How do I create a pandas Dataframe using JupyterLab?

    Open your favorite editor or JupyterLab. Import all necessarty libraries. Next, grab the dataset (link can be found above) and load it as a pandas dataframe. As sensors tend to drift due to aging, it is better to discard the data past month six. The data is quite messy and has to be preprocessed first.
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