I am writing code in a Jupyter notebook, and have a Seaborn facetgrid that I want to have 4 columns, and 3 rows. Each plot is for a different country out of a list of 10 countries. Since there are 12 total grids, and the last two are empty, is there a way to just get rid of those last two grids ? The solution of making the dimensions 5 x 2 is not an option since it is too hard to see when so many plots are scrunched together.
Code:
ucb_w_reindex_age = ucb_w_reindex[np.isfinite(ucb_w_reindex['age'])]
ucb_w_reindex_age = ucb_w_reindex_age.loc[ucb_w_reindex_age['age'] < 120]
def ageSeries(country):
return ucb_w_reindex_age.loc[ucb_w_reindex_age['country_destination'] == country].age.fillna(value=30).resample('5d').rolling(window=3, min_periods=1).mean()
def avgAge(country):
return ucb_w_reindex_age.loc[ucb_w_reindex_age['country_destination'] == country].age.mean()
num_plots = 10
fig, axes = plt.subplots(3, 4,figsize=(20, 15))
labels = ["01/10", "09/10", "05/11", "02/12", "10/12", "06/13", "02/14"]
list_of_dfs = [{'country': item, 'age': ageSeries(item), 'avgAge': avgAge(item)} for item in ['US', 'FR', 'AU', 'PT', 'CA', 'DE', 'ES', 'GB', 'IT', 'NL']]
colors = ['blue', 'green', 'red', 'orange', 'purple', 'blue', 'green', 'red', 'orange', 'purple']
col, row, loop = (0, 0, 0)
for obj in list_of_dfs:
row = math.floor(loop/4)
sns.tsplot(data=obj['age'], color=colors[loop], ax=axes[row, col])
axes[row, col].set_title('{}'.format(full_country_names[obj['country']]))
axes[row, col].axhline(obj['avgAge'], color='black', linestyle='dashed', linewidth=4)
axes[row, col].set(ylim=(20, 65))
axes[row, col].set_xticklabels(labels, rotation=0)
axes[row, col].set_xlim(0, 335)
if col == 0:
axes[row, col].set(ylabel='Average Age')
col += 1
loop += 1
if col == 4:
col = 0
fig.suptitle('Age Over Time', fontsize=30)
plt.show()
Facet Grid *I know having images seems to be taboo here in S.O., but theres really not a way to put this in code.
