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| author | Divay Prakash <divayprakash@users.noreply.github.com> | 2018-09-08 18:23:29 +0530 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2018-09-08 18:23:29 +0530 |
| commit | afb7102bb6fec1dada0340f32cc6990fc2981747 (patch) | |
| tree | 3b665acf2b26d37ee9ce5909bd8a8cdb31605b74 | |
| parent | 82122345d3eeb94e866894ef9f0f35a17c969f22 (diff) | |
| parent | 3f02799903c104631ccf778dabb30ba8b116b7bc (diff) | |
Merge pull request #3109 from BenQuigley/patch-2
Removed semicolons
| -rw-r--r-- | pythonstatcomp.html.markdown | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/pythonstatcomp.html.markdown b/pythonstatcomp.html.markdown index 6dde1cf0..66eeb7ad 100644 --- a/pythonstatcomp.html.markdown +++ b/pythonstatcomp.html.markdown @@ -205,7 +205,7 @@ hre["DeathY"] = extractYear(hre.Death) hre["EstAge"] = hre.DeathY.astype(int) - hre.BirthY.astype(int) # simple scatterplot, no trend line, color represents dynasty -sns.lmplot("BirthY", "EstAge", data=hre, hue="Dynasty", fit_reg=False); +sns.lmplot("BirthY", "EstAge", data=hre, hue="Dynasty", fit_reg=False) # use scipy to run a linear regression from scipy import stats @@ -222,7 +222,7 @@ rval**2 # 0.020363950027333586 pval # 0.34971812581498452 # use seaborn to make a scatterplot and plot the linear regression trend line -sns.lmplot("BirthY", "EstAge", data=hre); +sns.lmplot("BirthY", "EstAge", data=hre) """ For more information on seaborn, see - http://web.stanford.edu/~mwaskom/software/seaborn/ |