pingouin | Statistical package in Python based on Pandas | Analytics library
kandi X-RAY | pingouin Summary
kandi X-RAY | pingouin Summary
Statistical package in Python based on Pandas
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Top functions reviewed by kandi - BETA
- Calculate chi - correlation between two data
- Compute the chi - squared power correlation coefficient
- Postprocess dataframe
- Return the round setting for the given row and column
- Compute the chi - squared distribution of the given data
- Compute the covariance matrix
- Dichotomize a series
- Read a dataset
- Set default options
- Setup the CSS
pingouin Key Features
pingouin Examples and Code Snippets
Lines of Code : 4License : Strong Copyleft (CC BY-SA 4.0)
Copy!pip uninstall scipy -y
!pip uninstall pingouin -y
!pip install pingouin
!pip install pyyaml==5.4.1
import numpy as np
np.corrcoef(f(u), g(u))
import scipy.stats
scipy.stats.pearsonr(f(u), g(u))
import pandas as pd
f(u).corr(g(u)) # or
g(u).corr(f(u))
import pingofig, ax = plt.subplots()
ax.yaxis.get_major_formatter().set_scientific(False)
ax.yaxis.get_major_formatter().set_useOffset(False)
ax.plot([0, 1], [0, 2e7])
from matplotlib.ticker import NullFormatter
def formatter# DEFINE METHOD
run_cronbach_alpha <- function(sub) {
results <- psych::alpha(sub)$total # RETURNS LIST
data.frame(country = sub$country[1],
raw_alpha = results$raw_alpha,
cron = df.groupby('country', as_index=False).apply(cronbach_alpha).rename(columns={None: 'val'})
# display(cron)
country val
0 Armenia 0.918237
1 Bolivia 0.751889
2 Colombia -0.800000
3 Georgia 0.23import pandas as pd
from scipy import stats
df = pd.DataFrame(np.random.normal(0,1,2100).reshape(100,21)) # dataset (100x21)
k2, p = stats.normaltest(df)
print (p)
[0.97228661 0.49017509 0.97373345 0.97404468 0from pingouin import partial_corr
partial_corr(data=df, x='X', y='Y', covar=['covar1', 'covar2'], method='pearson')
Community Discussions
Trending Discussions on pingouin
QUESTION
I tried to import 'pingouin' in Colab by using standart commands:
...ANSWER
Answered 2022-Apr-03 at 16:55I think this could be a dependency issue. You can try uninstalling it first and install the pingouin package again:
QUESTION
I am trying to do a regular import in Google Colab.
This import worked up until now.
If I try:
ANSWER
Answered 2021-Oct-15 at 21:11Found the problem.
I was installing pandas_profiling, and this package updated pyyaml to version 6.0 which is not compatible with the current way Google Colab imports packages.
So just reverting back to pyyaml version 5.4.1 solved the problem.
For more information check versions of pyyaml here.
See this issue and formal answers in GitHub
##################################################################
For reverting back to pyyaml version 5.4.1 in your code, add the next line at the end of your packages installations:
QUESTION
I'm using Pingouin.jl to test normality.
In their docs, we have
...ANSWER
Answered 2021-Nov-04 at 19:29As Pengouin.normality returns a DataFrame, you will have to iterate over its results and push one-by-one:
QUESTION
How do I change the numbers on the y-axis to show 0 to 17 million instead of 0 to 1.75 1e7?
...ANSWER
Answered 2021-Apr-24 at 14:48I found two options, the first gets the default matplotlib.ticker.ScalarFormatter and turns off the scientific notation:
QUESTION
Let's say I have a dataset (sim_data) with 16 variables, including psychological data (15 items from a questionnaire), and the first column is a categorical variable (country).
I can easily get means/sd by group using:
...ANSWER
Answered 2020-Aug-23 at 16:35Usually, base R (not tidy R) is easier to translate to Python Pandas. What your R code appears to be doing is subsetting the dataframe by country column and running each subset into psych::alpha(). Then extracted statistics are returned into a data frame with country indicator.
You can do the exact same with base R's by which can translate into Pandas' groupby in a list comprehension. It looks like psych::alpha returns more statistics than pingouin.cronbach_alpha. Adjust fields and return values below as needed in untested code.
Base R (using docs)
QUESTION
I'm coming from another topic in which this discussion started. Let's say I have this pandas data frame from psychological research, in which I have a factor variable (country), and some items from a Likert scale.
...ANSWER
Answered 2020-Aug-23 at 03:35- Use
pandas.DataFrame.groupbyand.applythe function. GhanaisNanbecause there is only 1 row of valid data in the dataframe for that country.- The function
cronbach_alphaonly returns 1 value for a country when the dataframe for the country is provided.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install pingouin
You can use pingouin like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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