'Water Motorsports', 'Basque Pelota', 'Jeu de paume', 'Roque'] 'Skating', 'Cricket', 'Triathlon', 'Rackets', 'Croquet', Sports_name=['Aquatics', 'Athletics', 'Rowing', 'Gymnastics', 'Fencing', 'Football','Hockey', 'Wrestling', 'Shooting', 'Sailing', 'Cycling','Canoe / Kayak', 'Basketball', 'Volleyball', 'Equestrian', 'Handball','Boxing', 'Weightlifting', 'Judo', 'Baseball', 'Archery', 'Tennis','Rugby', 'Softball', 'Modern Pentathlon', 'Table Tennis', 'Badminton','Tug of War', 'Taekwondo', 'Polo', 'Lacrosse', 'Golf', 'Ice Hockey', For a better-looking graph, we need to change the width of the graph. We can see that due to a lack of space, the graph is too untidy. # Rotate the name of sports by 90 degree in x-axis Plt.bar(sports_name,people_playing_the_sports) # To create a bar graph use bar function of pyplot # These are people which play the respective sport # import the pyplot submodule of matplotlib library Following example explains a way to initialize the Figsize in centimeters (cm) – if you want a to use a different unit for the figsize, you can achieve it by creating a converting function. For figsize too, the units are measured in inches by default. Matplotlib have general way of keeping all the distances in inches. As of now, you cannot change the rcParams directly, but you can use different methods like figsize to do it. All of these are initialized to default values of, 100, ‘w’, and ‘w’ respectively.įigsize is a key in rcParams which changes the figure size of your data visualization. This attribute is responsible for carrying data of figure size, figure DPI, figure facecolor, and figure edgecolor. RcParams is a dictionary attribute in Matplotlib figure class that allows you to customize the look of your graph. For example, rcParams will be equal to in a programmatic way. The default figure size values are stored as a list of two float objects. By using Figsize, you can change both of these values. This parameter is governed under the rcParams attribute of the figure. This size can be changed by using the Figsize method of the respective figure. In Matplotlib all the diagrams are created at a default size of 6.4 x 4.8 inches. To increase the length, set the height greater than 4, and to decrease the height set the height less than 4.
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