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Why could this be? My data seems pretty simple and straightforward, it's a 1 column dataframe of ints, but .describe only returns count, unique, top, freq... not max, min, and other expected outputs.
(Note .describe() functionality is as expected in other projects/datasets)
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Pandas DataFrame describe() Method The describe() method returns description of the data in the DataFrame. If the DataFrame contains numerical data, the description contains these information for each column: count - The number of not-empty values.
How do you Count the Number of Occurrences in a data frame? To count the number of occurrences in e.g. a column in a dataframe you can use Pandas value_counts() method. For example, if you type df['condition']. value_counts() you will get the frequency of each unique value in the column “condition”.
The describe() method computes and displays summary statistics for a Python dataframe. (It also operates on dataframe columns and Pandas series objects.)
Using the size() or count() method with pandas. DataFrame. groupby() will generate the count of a number of occurrences of data present in a particular column of the dataframe.
It seems pandas doesn't recognize your data as int.
Try to do this explicitly:
print(df.astype(int).describe())
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