from scipy.stats import describe
describe(r, axis=0)
It will give you the size, (min,max), mean, variance, skewness, and kurtosis
Answer from pbreach on Stack OverflowLabEx
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Mastering Pandas DataFrame Describe Method | LabEx
In this lab, you will learn how ... The describe() method calculates various statistical measures such as count, mean, standard deviation, minimum, maximum, and percentiles for numerical columns....
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from scipy.stats import describe
describe(r, axis=0)
It will give you the size, (min,max), mean, variance, skewness, and kurtosis
2 of 5
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I'd rather bound to leverage the pandas library (add variance, skewness, kurtosis) than use 'external' ones, say:
stats = df.describe()
stats.loc['var'] = df.var().tolist()
stats.loc['skew'] = df.skew().tolist()
stats.loc['kurt'] = df.kurtosis().tolist()
print(stats)
PD: pandas_profiling is amazing though
Yerart
Data Science Parichay
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Pandas dataframe describe() function - Data Science Parichay
September 13, 2022 - The pandas dataframe describe() function is used to get the descriptive statistics for a dataframe.
Note.nkmk.me
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pandas: Get summary statistics for each column with describe() | note.nkmk.me
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 ...
W3Schools
w3schools.com › python › pandas › ref_df_describe.asp
Pandas DataFrame 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.
GUVI
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Pandas DataFrame describe() Method
Learn Pandas with this beginner-friendly handbook on GUVI Hub. Master DataFrames, data cleaning, filtering, and analysis techniques.
IBM
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What is Machine Learning? | IBM
6 days ago - Notable open source machine learning libraries and toolkits focused on traditional ML include Pandas, Scikit-learn, XGBoost, Matplotlib, SciPy and NumPy among many others.
Pandas
pandas.pydata.org › pandas-docs › version › 0.18 › generated › pandas.DataFrame.describe.html
pandas.DataFrame.describe — pandas 0.18.1 documentation
DataFrame.describe(percentiles=None, include=None, exclude=None)¶
GeeksforGeeks
geeksforgeeks.org › pandas › python-pandas-dataframe-describe-method
Pandas DataFrame describe() Method - GeeksforGeeks
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 ...
MLK
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Pandas Tutorial - describe(), head(), unique() and count() - MLK - Machine Learning Knowledge
August 1, 2021 - The describe() function is used for generating descriptive statistics of a dataset. This pandas function provides the dataset’s information about central tendency, data dispersion, and shape of a dataset.
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Machine Learning Plus
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Pandas Describe - machinelearningplus
March 8, 2022 - The pandas describe function is used to get a descriptive statistics like mean, median, min-max values of different data columns.
Snowflake Documentation
docs.snowflake.com › en › developer-guide › snowpark › reference › python › 1.8.0 › modin › pandas_api › modin.pandas.DataFrame.describe
modin.pandas.DataFrame.describe | Snowflake Documentation
>>> df = pd.DataFrame({'numeric': [1, 2, 3], ... 'object': ['a', 'b', 'c'] ... }) >>> df.describe(include='all') numeric object count 3.0 3 unique NaN 3 top NaN a freq NaN 1 mean 2.0 None std 1.0 None min 1.0 None 25% 1.5 None 50% 2.0 None 75% 2.5 None max 3.0 None
Medium
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Pandas describe() function — Deep Dive | by Debanjan Saha | Medium
September 20, 2022 - Pandas describe() function — Deep Dive How important is the describe() function in Pandas library? TL;DR: It is very important to know the nitty gritty of the describe function. So, if you’re …
Pandas
pandas.pydata.org › pandas-docs › stable › reference › api › pandas.DataFrame.median.html
pandas.DataFrame.median — pandas 3.0.2 documentation
Return the median of the values over the requested axis · Axis for the function to be applied on. For Series this parameter is unused and defaults to 0
Vultr Docs
docs.vultr.com › python › third-party › pandas › DataFrame › describe
Python Pandas DataFrame describe() - Generate Descriptive Statistics | Vultr Docs
December 24, 2024 - Apply the describe() method to get an overview of statistical summaries. ... import pandas as pd data = { 'Age': [25, 22, 23, 25, 24], 'Income': [50000, 54000, 50000, 48500, 60000] } df = pd.DataFrame(data) description = df.describe() print(description) Explain Code
Statology
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Pandas: How to Use describe() for Categorical Variables
March 8, 2023 - By default, the describe() function in pandas calculates descriptive statistics for all numeric variables in a DataFrame.
Pandas
pandas.pydata.org › docs › reference › frame.html
DataFrame — pandas 3.0.2 documentation
Flags refer to attributes of the pandas object.