create a correlation matrix with a datetime type index dataset in python
Question:
I had 2 different dataset and a merge them with:
aaa = pd.merge(time_aragonit, floridaco2, how='inner', on='Time')
This is my dataset after the merge:
I have datetime type index and when i want to create a correlation matrix, the output look like this:
enter image description here
Why is the correlation between the values not shown? Where am i doing wrong could you please help me?
i also tried join but got the same result
aaa=time_aragonit.join(floridaco2)
Answers:
In your code you have to draw the correlation matrix.
You are instead creating a heatmap of the data-frame itself.
Make the change as shown below:
corr_carbonate = aaa.corr()
sns.heatmap(corr_carbonate, cmap="YlGnBu", annot=True)
This should give a proper heatmap as you need.
I had 2 different dataset and a merge them with:
aaa = pd.merge(time_aragonit, floridaco2, how='inner', on='Time')
This is my dataset after the merge:
I have datetime type index and when i want to create a correlation matrix, the output look like this:
enter image description here
Why is the correlation between the values not shown? Where am i doing wrong could you please help me?
i also tried join but got the same result
aaa=time_aragonit.join(floridaco2)
In your code you have to draw the correlation matrix.
You are instead creating a heatmap of the data-frame itself.
Make the change as shown below:
corr_carbonate = aaa.corr()
sns.heatmap(corr_carbonate, cmap="YlGnBu", annot=True)
This should give a proper heatmap as you need.