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Visual Studio Code – matplotlib 'plt.tight_layout()' function not working

I have the following code: listofmodels = [resultmodeldistancearlylife,resultmodeldurationearlylife,resultmodeldistancenavigate,resultmodeldurationnavigate,resultmodeldistancetravel,resultmodeldurationtravel,resultmodeldistancevideo,resultmodeldurationvideo,resultmodeldistancelifestyle,resultmodeldurationlifestyle,resultmodeldistancegrow,resultmodeldurationgrow,resultmodeldistancesleep,resultmodeldurationsleep,resultmodeldistancedemographics,resultmodeldurationdemographics] names = ['resultmodeldistancearlylife','resultmodeldurationearlylife','resultmodeldistancenavigate','resultmodeldurationnavigate','resultmodeldistancetravel','resultmodeldurationtravel','resultmodeldistancevideo','resultmodeldurationvideo','resultmodeldistancelifestyle','resultmodeldurationlifestyle','resultmodeldistancegrow','resultmodeldurationgrow','resultmodeldistancesleep','resultmodeldurationsleep','resultmodeldistancedemographics','resultmodeldurationdemographics'] for i in range(len(listofmodels)): fig, axes = plt.subplots(nrows=2, ncols=2) plt.tight_layout() plt.title(names[i],loc='left') sns.residplot(listofmodels[i].predict(), y, lowess=True, scatter_kws={'alpha': 0.5}, line_kws={'color':'red'}, ax=axes[0,0]) axes[0,0].title.set_text('Residuals vs Fitted Linearity Plot') axes[0,0].set(xlabel='Fitted', ylabel='Residuals') sm.ProbPlot(listofmodels[i].resid).qqplot(line='s', color='#1f77b4', ax=axes[1,0]) axes[1,0].title.set_text('QQ…

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Postgresql – SQL to Pandas data filter equivalent

I have in my postgres database, the following table: CREATE TABLE trips(id int, lat_init double precision, lon_init double precision, lat_end double precision, lon_end double precision); INSERT INTO trips(id, lat_init, lon_init, lat_end, lon_end) VALUES (1,53.348060,-1.504068,53.360690,-1.457364), (2,53.427651,-1.355329,53.380441,-1.536918), (3,53.365660,-1.497837,53.363838,-1.388023), (4,53.380349,-1.460028,53.429298,-1.359443), (5,53.345526,-1.449195,53.407839,-1.501819); So that…

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Mongodb aggregation to find outliers

In my mongodb collection documents are stored in the following format: { "_id" : ObjectId("62XXXXXX"), "res" : 12, ... } { "_id" : ObjectId("63XXXXXX"), "res" : 23, ... } { "_id" : ObjectId("64XXXXXX"), "res" : 78, ... } ... I…

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