# np.corrcoef returns only nan

i have an array norm_array=np.array([[1, 133, 1, 5.73, 5.09, 11.12, 10.16, 3.38, 15, 3, 8, 7, 4, 5, 1, 6, 1, 2, 18, 12, 48], [1, 185, 0, 4.34, 3.66, 18.23, 14.91, 0, 21, 15, 11, 2, 4, 4, 5, 4, 9, 8, 27, 14, 47], [1, 133, 1, 5.92, 4.63, 9.66, 7.77, 7.18, 9,… Read More np.corrcoef returns only nan

# how to specify data on pearson correlation heatmap?

I have a pearson correlation heat map coded, but its showing data from my dataframe which i dont need. is there a way to specify which columns i’d like to include? thanks in advance sb.heatmap(df[‘POPDEN’, ‘RoadsArea’, ‘MedianIncome’, ‘MedianPrice’, ‘PropertyCount’, ‘AvPTAI2015’, ‘PTAL’].corr(), annot=True, fmt=’.2f’) ————————————————————————— TypeError Traceback (most recent call last) <ipython-input-54-832fc3c86e3e> in <module> —-> 1… Read More how to specify data on pearson correlation heatmap?

# Is correlation statistically significant in python scipy?

I have such dataframe: A B 0.5 69.26 1 74.91 1.5 77.21 2 77.52 I run cor, pval = pearsonr( data["A"], data["B"]) Answer is: correlation coeficient = 0.91 and p-value = 0.09 My significance level alpha = 0.05. How do I interpret such result? Is data correlating? EDIT: I am asking because I have found… Read More Is correlation statistically significant in python scipy?