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import pandas as pd from pandas import Series arr = Series() print(arr) Simple pandas Series output. As you can see, pandas Series has assigned the default index values from 0 to 3 (4 - 1). It is a simple Python pandas Series example. If you really wanted to, then you could also use a Categorical array or even a plain-old list: Native Python list: df.groupby(bins.tolist()) Pandas Categorical array: df.groupby(bins. What's important is that bins still serves as a sequence of labels, one of cool, warm, or hot.

Whether it's a Series, NumPy array, or list doesn't matter.

Just use df.groupby(), passing the DatetimeIndex and an optional drill down column.

See many more examples on plotting data directly from dataframes here: Pandas Dataframe: Plot Examples with Matplotlib and Pyplot Plot the number of visits a website had, per day and using another column (in this case browser) as drill down. The axis labels are collectively called index.Pandas Series is nothing but a column in an excel sheet.

Pandas Series is a one-dimensional labeled array capable of holding data of any type (integer, string, float, python objects, etc.).

You should use the simplest data structure that meets your needs. An list, numpy array, dict can be turned into a pandas series. You can create a series by calling pandas.Series ().

It can hold data of many types including objects, floats, strings and integers.

Pandas series is a one-dimensional data structure.