Pandas seaborn pretty correlation code
Old code I wrote for making ds.corr() more readable, looked for it three times already ergo its place is here.
Basically: removes all small correlations, and optionally plots a colorful heatmap of that.
def plot_corr(res:pd.DataFrame):
import seaborn as sns
sns.heatmap(res, annot=True,fmt=".1f",cmap="coolwarm")
def get_biggest_corr(ds_corr: pd.DataFrame, limit: float=0.8, remove_diagonal=True, remove_nans=True,plot=False) -> pd.DataFrame:
import numpy as np # just in case
res = ds_corr[(ds_corr>limit) | (ds_corr<-limit)]
if remove_diagonal:
np.fill_diagonal(res.values, np.nan)
if remove_nans:
res = res.dropna(how='all', axis=0)
res = res.dropna(how='all', axis=1)
if plot:
plot_corr(res)
else:
return res
Nel mezzo del deserto posso dire tutto quello che voglio.