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How to graphically present the statistical interpretations when using Kolmogorov–Smirnov test (K-S) test?
The Next CEO of Stack Overflow2019 Community Moderator ElectionAny suitable way to describe the distributions of 2 Pandas Dataframes visually/graphically?How does Seaborn calculate error bars when using estimators other than the arithmetic mean?Using Diebold-Mariano testInterpreting statistical formulas using python (mu + sigma * data)statistical significance test between binary label featuresHow to select a model based on statistical analyses?How to load this data from .dat into dataframe using pythonAppropriate statistical testStatistical test for machine learningHow to test the influence of a feature on conversion?Any suitable way to describe the distributions of 2 Pandas Dataframes visually/graphically?
$begingroup$
I am referring to my previous question (Any suitable way to describe the distributions of 2 Pandas Dataframes visually/graphically?) related to visualising the Pandas dataframes to show that they have a similar distribution.
I have come to know that Kolmogorov–Smirnov test (K-S Test) can help decide whether the 2 distributions of dataframes are similar and how similar they are based on p-values etc. Based on the answer by Tasos in the referred question,
from scipy import stats
p_value = 0.05
rejected = 0
for col in df1:
test = stats.ks_2samp(df1[col], df2[col])
if test[1] < p_value:
rejected += 1
print("We rejected",rejected,"columns in total")
It is possible to understand the context as to whether the distributions of the dataframes df1 and df2 are similar or not. However, I would like to present this information visually/graphically (such as Wikipedia have a graph for K-S test statistic: https://en.wikipedia.org/wiki/Kolmogorov–Smirnov_test). Any suggestions regarding a suitable method to visualise the K-S test statistical interpretation in Python would be highly appreciated. Cheers!
python pandas statistics dataframe descriptive-statistics
asked 1 hour ago
JChatJChat
305
$endgroup$
add a comment |
$begingroup$
I am referring to my previous question (Any suitable way to describe the distributions of 2 Pandas Dataframes visually/graphically?) related to visualising the Pandas dataframes to show that they have a similar distribution.
I have come to know that Kolmogorov–Smirnov test (K-S Test) can help decide whether the 2 distributions of dataframes are similar and how similar they are based on p-values etc. Based on the answer by Tasos in the referred question,
from scipy import stats
p_value = 0.05
rejected = 0
for col in df1:
test = stats.ks_2samp(df1[col], df2[col])
if test[1] < p_value:
rejected += 1
print("We rejected",rejected,"columns in total")
It is possible to understand the context as to whether the distributions of the dataframes df1 and df2 are similar or not. However, I would like to present this information visually/graphically (such as Wikipedia have a graph for K-S test statistic: https://en.wikipedia.org/wiki/Kolmogorov–Smirnov_test). Any suggestions regarding a suitable method to visualise the K-S test statistical interpretation in Python would be highly appreciated. Cheers!
python pandas statistics dataframe descriptive-statistics
asked 1 hour ago
JChatJChat
305
$endgroup$
add a comment |
$begingroup$
I am referring to my previous question (Any suitable way to describe the distributions of 2 Pandas Dataframes visually/graphically?) related to visualising the Pandas dataframes to show that they have a similar distribution.
I have come to know that Kolmogorov–Smirnov test (K-S Test) can help decide whether the 2 distributions of dataframes are similar and how similar they are based on p-values etc. Based on the answer by Tasos in the referred question,
from scipy import stats
p_value = 0.05
rejected = 0
for col in df1:
test = stats.ks_2samp(df1[col], df2[col])
if test[1] < p_value:
rejected += 1
print("We rejected",rejected,"columns in total")
It is possible to understand the context as to whether the distributions of the dataframes df1 and df2 are similar or not. However, I would like to present this information visually/graphically (such as Wikipedia have a graph for K-S test statistic: https://en.wikipedia.org/wiki/Kolmogorov–Smirnov_test). Any suggestions regarding a suitable method to visualise the K-S test statistical interpretation in Python would be highly appreciated. Cheers!
python pandas statistics dataframe descriptive-statistics
asked 1 hour ago
JChatJChat
305
$endgroup$
I am referring to my previous question (Any suitable way to describe the distributions of 2 Pandas Dataframes visually/graphically?) related to visualising the Pandas dataframes to show that they have a similar distribution.
I have come to know that Kolmogorov–Smirnov test (K-S Test) can help decide whether the 2 distributions of dataframes are similar and how similar they are based on p-values etc. Based on the answer by Tasos in the referred question,
from scipy import stats
p_value = 0.05
rejected = 0
for col in df1:
test = stats.ks_2samp(df1[col], df2[col])
if test[1] < p_value:
rejected += 1
print("We rejected",rejected,"columns in total")
It is possible to understand the context as to whether the distributions of the dataframes df1 and df2 are similar or not. However, I would like to present this information visually/graphically (such as Wikipedia have a graph for K-S test statistic: https://en.wikipedia.org/wiki/Kolmogorov–Smirnov_test). Any suggestions regarding a suitable method to visualise the K-S test statistical interpretation in Python would be highly appreciated. Cheers!
python pandas statistics dataframe descriptive-statistics
python pandas statistics dataframe descriptive-statistics
asked 1 hour ago
JChatJChat
305
asked 1 hour ago
JChatJChat
305
asked 1 hour ago
JChatJChat
305
asked 1 hour ago
JChatJChat
305
asked 1 hour ago
JChatJChat
305
305
add a comment |
add a comment |
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active
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