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pythonheatmapseaborncorrelation
Christian Ulrich
Christian Ulrich

Reputation: 81

Jupiter Python seaborn heatmap not showing all correlations

I'm having some trouble with my heatmap plot of the correlation. It's not showing all the columns I'm interested in.

This is my code:

sns.set(style="white")
# Compute the correlation matrix
corr = data.corr()

# Generate a mask for the upper triangle
mask = np.zeros_like(corr, dtype=np.bool)
mask[np.triu_indices_from(mask)] = True

# Set up the matplotlib figure
f, ax = plt.subplots(figsize=(11, 9))

# Generate a custom diverging colormap
cmap = sns.diverging_palette(220, 10, as_cmap=True)

# Draw the heatmap with the mask and correct aspect ratio
sns.heatmap(corr, mask=mask, cmap=cmap, vmax=1, vmin=-1, center=0,
        square=True, linewidths=1, cbar_kws={"shrink": .5})

The code is based on :https://seaborn.pydata.org/examples/many_pairwise_correlations.html

Part of the result

And here is a snip of the data columns missing

Snip of the columns missing

The problem, as you can see, is that I'm missing CIVIST_D, F, L and I can´t figure out to fix it.

Kind regards Christian

Upvotes: 8

Views: 10529

Answers (2)

Sak
Sak

Reputation: 159

Try to increase the size of plot. It worked for me

corr=df.corr()
plt.subplots(figsize=(20,15))
sns.heatmap(corr)

Upvotes: 9

Jan K
Jan K

Reputation: 4150

Not sure if that helps but make sure that the correlation is indeed computed for your desired columns. For example: 

'CIVIST_D' in corr.index

Upvotes: 0

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