Describing a column from a DataFrame by accessing it as an attribute.

July 26, 2025 - The describe() method in Pandas generates descriptive statistics of DataFrame columns which provides key metrics like mean, standard deviation, percentiles and more. It works with numeric data by default but can also handle categorical data ...

To describe certain columns, as opposed to all columns, in Pandas DataFrame, use the [] notation to first extract the desired columns and then use the describe(~) method.

import pandas as pd data = [[10, 18, 11], [13, 15, 8], [9, 20, 3]] df = pd.DataFrame(data) print(df.describe()) Try it Yourself » · The describe() method returns description of the data in the DataFrame.

August 9, 2021 - The following code shows how to calculate descriptive statistics for one specific column in the pandas DataFrame: #calculate descriptive statistics for 'points' column only df['points'].describe() count 8.000000 mean 20.250000 std 6.158618 min 12.000000 25% 14.750000 50% 21.000000 75% 25.000000 max 29.000000 Name: points, dtype: float64

Describing a column from a DataFrame by accessing it as an attribute.

March 6, 2025 - Sometimes, you don’t need the whole DataFrame — you just want details about one column. Here’s how to do that: # Describing a specific column print(df['Age'].describe())

DataFrame.describe(self, percentiles=None, include=None, exclude=None) ... Returns: Series or DataFrame Summary statistics of the Series or Dataframe provided. ... Download the Pandas DataFrame Notebooks from here.

However, when we apply .describe() to a column of strings, we don't get an error. Instead, .describe() gives us a list of statistics that are more applicable to the string dtype. import pandas as pd\n \n#Creates a DataFrame of "movie", "release date", "domestic gross", "worldwide gross", "personal rating", and "international box office" columns\ndf = pd.DataFrame([\n {"movie": "The Truman Show", "release date": "1996-06-05", "domestic box office": 125618201, "worldwide box office": 264118201, "personal rating": 10, "international box office": 138500000},\n {"movie": "Rogue One: A Star War

February 6, 2024 - We called the describe() method, and inside the parenthesis, we used the syntax include = [object]. Here, object refers to string variables, so the Pandas describe method computes summary stats for the string columns.

January 20, 2024 - In pandas, the describe() method on DataFrame and Series allows you to get summary statistics such as the mean, standard deviation, maximum, minimum, and mode for each column. pandas.DataFrame.describ ...

December 15, 2022 - In this tutorial, you learned how to use the Pandas .describe() method, which is a helpful method to generate summary, descriptive statistics on your dataframe. You learned how to use the describe method to specify particular percentiles and how to include or exclude columns based on datatypes.

April 12, 2023 - It allows determining the mean, standard deviation, unique values, minimum values, maximum values, percentiles, and many further analytical calculations for these pandas dataframes.

Pandas The assign() method is also responsible for adding a new column into a DataFrame. If we re-assign an existing column, then its value will be overwritten. Signature DataFrame.assign(**kwargs) Parameters kwargs: keywords are the column names. These keywords are assigned to the new column if the values are callable.

July 29, 2024 - To describe only specific types of columns in a pandas DataFrame, you can use the include and exclude parameters in the describe() method.

## Create a DataFrame with None ... print(description_with_none) Congratulations! In this lab, you learned how to use the describe() method in Pandas to generate descriptive statistics for a DataFrame....

March 24, 2023 - Master using Pandas df.describe() to generate descriptive stats like mean, standard deviation, quartiles, and outliers for numeric columns with this comprehensive guide.

June 16, 2025 - The Python pandas function DataFrame.describe() is used to generate a sta­tis­ti­cal summary of the numerical columns in a DataFrame.

December 24, 2024 - Assume a DataFrame has a time-related ... data, essential for time-based analysis. The describe() method in Pandas powerfully encapsulates the statistical summary of DataFrame columns, providing a concrete foundation for any data ...