""" ============ Bumpy Charts ============ * Author: `slothfulwave612 `_ * ``mplsoccer``, ``bumpy_chart`` module helps one to plot bumpy charts in a few lines of code. * Inspired By `CJ Mayes `_ * Here we will show some examples of how to use ``mplsoccer`` to plot bumpy charts. """ import json from urllib.request import urlopen import matplotlib.pyplot as plt import numpy as np from PIL import Image from highlight_text import fig_text from mplsoccer import Bumpy, FontManager, add_image ############################################################################## # Load some fonts # --------------- # We will use mplsoccer's FontManager to load some fonts from Google Fonts. # We borrowed the FontManager from the excellent # `ridge_map library `_. font_normal = FontManager("https://raw.githubusercontent.com/google/fonts/main/apache/" "roboto/Roboto%5Bwdth,wght%5D.ttf") font_bold = FontManager("https://raw.githubusercontent.com/google/fonts/main/apache/" "robotoslab/RobotoSlab%5Bwght%5D.ttf") ############################################################################## # Load Files # --------------- # We will using these images/data in our examples. # You can find all the images/data `here `_. epl = Image.open( urlopen("https://raw.githubusercontent.com/andrewRowlinson/mplsoccer-assets/main/epl.png") ) season_dict = json.load( urlopen("https://raw.githubusercontent.com/andrewRowlinson/mplsoccer-assets/main/epl.json") ) player_dict = json.load( urlopen("https://raw.githubusercontent.com/andrewRowlinson/mplsoccer-assets/main/" "percentile.json") ) ############################################################################## # Making A Bumpy Chart # ---------------------------- # A Bump Chart is a special form of a line plot. # This chart is well-suited for exploring changes in rank over time. # Using this chart, you can easily compare the position, # performance or rankings of multiple observations with # respect to each other rather than the actual values itself. # We are going to make use of the weekwise standing data for Premier League 2019/20. # match-week match_day = ["Week " + str(num) for num in range(1, 39)] # highlight dict --> team to highlight and their corresponding colors highlight_dict = { "Liverpool": "crimson", "Man City": "skyblue", "Man Utd": "gold" } # instantiate object bumpy = Bumpy( scatter_color="#282A2C", line_color="#252525", # scatter and line colors rotate_xticks=90, # rotate x-ticks by 90 degrees ticklabel_size=17, label_size=30, # ticklable and label font-size scatter_primary='D', # marker to be used show_right=True, # show position on the rightside plot_labels=True, # plot the labels alignment_yvalue=0.1, # y label alignment alignment_xvalue=0.065 # x label alignment ) # plot bumpy chart fig, ax = bumpy.plot( x_list=match_day, # match-day or match-week y_list=np.linspace(1, 20, 20).astype(int), # position value from 1 to 20 values=season_dict, # values having positions for each team secondary_alpha=0.5, # alpha value for non-shaded lines/markers highlight_dict=highlight_dict, # team to be highlighted with their colors figsize=(20, 16), # size of the figure x_label='Week', y_label='Position', # label name ylim=(-0.1, 23), # y-axis limit lw=2.5, # linewidth of the connecting lines fontproperties=font_normal.prop, # fontproperties for ticklables/labels ) # title and subtitle TITLE = "Premier League 2019/20 week-wise standings:" SUB_TITLE = "A comparison between , and " # add title fig.text(0.09, 0.95, TITLE, size=29, color="#F2F2F2", fontproperties=font_bold.prop) # add subtitle fig_text( 0.09, 0.94, SUB_TITLE, color="#F2F2F2", highlight_textprops=[{"color": 'crimson'}, {"color": 'skyblue'}, {"color": 'gold'}], size=25, fig=fig, fontproperties=font_bold.prop ) # add image fig = add_image( epl, fig, # figure 0.02, 0.9, # left and bottom dimensions 0.08, 0.08 # height and width values ) # if space is left in the plot use this plt.tight_layout(pad=0.5) ############################################################################## # Flip The y-axis # ---------------------------- # If you want to plot positions from the bottom, i.e. the 1st position will # be at the bottom and the 20th position will be at the top. You can do it easily. # You just have to pass ``upside_down=True`` inside ``plot`` function. # instantiate object bumpy = Bumpy( scatter_color="#282A2C", line_color="#252525", # scatter and line colors rotate_xticks=90, # rotate x-ticks by 90 degrees ticklabel_size=17, label_size=30, # ticklable and label font-size scatter_primary='D', # marker to be used show_right=True, # show position on the rightside plot_labels=True, # plot the labels alignment_yvalue=0.1, # y label alignment alignment_xvalue=0.065, # x label alignment ) # plot bumpy chart fig, ax = bumpy.plot( x_list=match_day, # match-day or match-week y_list=np.linspace(1, 20, 20).astype(int), # position value from 1 to 20 values=season_dict, # values having positions for each team secondary_alpha=0.5, # alpha value for non-shaded lines/markers highlight_dict=highlight_dict, # team to be highlighted with their colors figsize=(20, 16), # size of the figure x_label='Week', y_label='Position', # label name ylim=(-0.1, 23), # y-axis limit lw=2.5, # linewidth of the connecting lines upside_down=True, # <--- to flip the y-axis fontproperties=font_normal.prop, # fontproperties for ticklables/labels ) # title and subtitle TITLE = "Premier League 2019/20 week-wise standings:" SUB_TITLE = "A comparison between , and " # add title fig.text(0.09, 0.95, TITLE, size=29, color="#F2F2F2", fontproperties=font_bold.prop) # add subtitle fig_text( 0.09, 0.94, SUB_TITLE, color="#F2F2F2", highlight_textprops=[{"color": 'crimson'}, {"color": 'skyblue'}, {"color": 'gold'}], size=25, fig=fig, fontproperties=font_bold.prop ) # add image fig = add_image( epl, fig, # figure 0.02, 0.9, # left and bottom dimensions 0.08, 0.08 # height and width values ) # if space is left in the plot use this plt.tight_layout(pad=0.5) ############################################################################## # Light Theme # ---------------------------- # You can use ``background_color``, ``scatter_color``, ``label_color``, and ``line_color`` arguments # to change the whole theme of the plot. Below is the code demonstrating how to make a light-theme # bumpy chart using ``mplsoccer``. # Below you can also use ``scatter_points``, ``scatter_primary``, and ``scatter_size`` # arguments inside ``Bumpy`` method to change markers and their sizes. # highlight dict --> team to highlight and their corresponding colors highlight_dict = { "Man Utd": "crimson", "Chelsea": "blue" } # instantiate object bumpy = Bumpy( background_color="#F6F6F6", scatter_color="#808080", label_color="#000000", line_color="#C0C0C0", rotate_xticks=90, # rotate x-ticks by 90 degrees ticklabel_size=17, label_size=30, # ticklable and label font-size scatter_points='D', # other markers scatter_primary='o', # marker to be used for teams scatter_size=150, # size of the marker show_right=True, # show position on the rightside plot_labels=True, # plot the labels alignment_yvalue=0.1, # y label alignment alignment_xvalue=0.065 # x label alignment ) # plot bumpy chart fig, ax = bumpy.plot( x_list=match_day, # match-day or match-week y_list=np.linspace(1, 20, 20).astype(int), # position value from 1 to 20 values=season_dict, # values having positions for each team secondary_alpha=0.2, # alpha value for non-shaded lines/markers highlight_dict=highlight_dict, # team to be highlighted with their colors figsize=(20, 16), # size of the figure x_label='Week', y_label='Position', # label name ylim=(-0.1, 23), # y-axis limit lw=2.5, # linewidth of the connecting lines fontproperties=font_normal.prop, # fontproperties for ticklabels/labels ) # title and subtitle TITLE = "Premier League 2019/20 week-wise standings:" SUB_TITLE = "A comparison between and " # add title fig.text(0.03, 0.95, TITLE, size=29, color="#222222", fontproperties=font_bold.prop) # add subtitle fig_text( 0.03, 0.94, SUB_TITLE, color="#222222", highlight_textprops=[{"color": 'crimson'}, {"color": 'blue'}], size=25, fig=fig, fontproperties=font_bold.prop ) # if space is left in the plot use this plt.tight_layout(pad=0.5) ############################################################################## # Player Percentile Rank Viz # ---------------------------- # Here we will create a bumpy-chart that will compare two players based on their percentile rank. # attributes and highlight dict attribute = [ "xA", "Passes\nInto Pen", "Passes\nInto Final 1/3", "Progressive\nPass Distance", "Pass\nReceive%", "Progressive\nCarry Distance" ] highlight_dict = { "Cristián Zapata": "crimson", "Francesco Acerbi": "cornflowerblue" } # instantiate object bumpy = Bumpy( rotate_xticks=0, ticklabel_size=23, label_size=28, scatter="value", show_right=True, alignment_yvalue=0.15, alignment_xvalue=0.06 ) # plot bumpy chart fig, ax = bumpy.plot( x_list=attribute, y_list=np.linspace(1, 100, 11).astype(int), values=player_dict, secondary_alpha=0.05, highlight_dict=highlight_dict, figsize=(20, 12), x_label="Attributes", y_label="Percentile Rank", ylim=(0.5, 12), upside_down=True, fontfamily="Liberation Serif" ) # title and subtitle TITLE = "Comparison Between and " # add title fig_text( 0.02, 0.98, TITLE, color="#F2F2F2", highlight_textprops=[{"color": 'crimson'}, {"color": 'cornflowerblue'}], size=34, fig=fig, fontfamily="Liberation Serif" ) # if space is left in the plot use this plt.tight_layout(pad=0.5)