Chord diagrams are used by guitar players to show where and how to play a chord on the fretboard. They are useful to beginners learning chords or for sharing the hand positions required to play a song. However, the diagrams presented on guitar learning tools are usually selected from an existing database and rarely represent the actual positions used by performers. In this paper, we propose a tool which suggests a chord diagram for a chord label, taking into account the diagram of the previous chord. Based on statistical analysis of the DadaGP and mySongBook datasets, we show that some chord diagrams are over-represented in western popular music and that some chords can be played in more than 20 different ways. We argue that taking context into account can improve the variety and the quality of chord diagram suggestion, and compare this approach with a model taking only the current chord label into account. We show that adding previous context improves the F1-score on this task by up to 27% and reduces the propensity of the model to suggest standard open chords. We also define the notion of texture in the context of chord diagrams and show through a variety of metrics that our model improves texture consistency with the previous diagram.