from rankplot import rankplot
import matplotlib.pyplot as plt
data = {2010: {'Facebook': 517750000, 'YouTube': 480551990, 'Google Buzz': 166029650, 'MySpace': 68046710, 'Hi5': 59953290, 'Flickr': 54708063, 'Orkut': 49941613, 'Twitter': 43250000},
2011: {'Facebook': 766000000, 'YouTube': 642669824, 'Google Buzz': 170000000, 'Twitter': 92750000, 'Flickr': 66954600, 'Weibo': 48691040, 'WeChat': 47818400, 'Orkut': 47609080},
2012: {'Facebook': 979750000, 'YouTube': 844638200, 'Google Buzz': 170000000, 'Twitter': 160250000, 'Tumblr': 146890156, 'WeChat': 118123370, 'Google+': 107319100, 'Flickr': 79664888},
2013: {'Facebook': 1170500000, 'YouTube': 1065223075, 'Whatsapp': 300000000, 'Tumblr': 293482050, 'Twitter': 223675000, 'Google+': 205654700, 'WeChat': 196523760, 'Google Buzz': 170000000},
2014: {'Facebook': 1334000000, 'YouTube': 1249451725, 'Whatsapp': 498750000, 'WeChat': 444232415, 'Tumblr': 388721163, 'Google+': 254859015, 'Instagram': 250000000, 'Twitter': 223675000},
2015: {'Facebook': 1516750000, 'YouTube': 1328133360, 'Whatsapp': 800000000, 'WeChat': 660843407, 'Tumblr': 475923363, 'Instagram': 400000000, 'Twitter': 304500000, 'Google+': 298950015},
2016: {'Facebook': 1753500000, 'YouTube': 1399053600, 'Whatsapp': 1000000000, 'WeChat': 847512320, 'Tumblr': 565796720, 'Instagram': 550000000, 'Google+': 398648000, 'Twitter': 314500000},
2017: {'Facebook': 2035750000, 'YouTube': 1495657000, 'Whatsapp': 1333333333, 'WeChat': 921742750, 'Instagram': 750000000, 'Tumblr': 593783960, 'Google+': 495657000, 'Weibo': 357569030},
2018: {'Facebook': 2255250000, 'YouTube': 1900000000, 'Instagram': 1000000000, 'WeChat': 1000000000, 'Tumblr': 624000000, 'TikTok': 500000000, 'Weibo': 431000000, 'Google+': 430000000}}fig, ax = plt.subplots()
ax = rankplot(data, ax=ax)
ax.set_title('The most popular social media platforms', y=1.05)
plt.rcParams['font.family'] = 'PT Sans'
custom_color_map = {'Facebook' : '#2980b9',
'YouTube': '#e74c3c',
'Whatsapp': '#16a085',
'WeChat': '#2ecc71',
'Tumblr': '#2c3e50',
'Instagram': '#c0392b',
'TikTok': '#34495e',
'Weibo': '#d35400'}
fig, ax = plt.subplots(figsize=(6,3), dpi=150)
ax = rankplot(data, label_fontsize=4.5, hspace=2, vspace=-1, ax=ax,
grey_color='#95a5a6', color_map=custom_color_map)
ax.set_title('Facebook\'s continuing dominance', y=1.12, x=0, ha='left', weight='bold')
ax.text(0, 1.09, 'The 8 social media platforms with the most users between 2010 and 2018',
transform=ax.transAxes, fontsize=8)
ax.text(0, 0, 'Source: Our World in Data', transform=ax.transAxes, fontsize=5, alpha=0.5)
fig.set_facecolor('#ecf0f1')
rankplot(data=None, labels=None,
y_labels=None, color=None, color_map=None, grey_color='grey',
trim=True, show_vals=True, hspace=0, vspace=0, labelpad=0,
label_fontsize=5, tick_fontsize=6, ax=None)
- data (
list or dict): The ranking data. Can be a list of dicts with the label as key ([{"John": 2, "Ali": 5}]),
a nested dictionary with the column label as key ({'2010': {'John': 2, 'Ali': 2}}) or a 2D array ([[2, 5]]).
- labels (
list, optional): 2D array in the same shape of the data, containing the labels. Mainly useful when the
input is a 2D array, otherwise labels are already extracted from the data. Defaults to None.
- y_labels (
list, optional): Labels for the columns. Already extracted when the input is a nested
dictionary. Defaults to None.
- color (
list or str, optional): The color(s) of the boxes. If one color is provided, all boxes
will get the same colors. If multiple colors are provided, the most frequent labels
will be assigned a color. Defaults to None.
- color_map (
dict, optional): Dictionary that allows for a custom mapping of labels to
specific colors. Overwrites the input of the color parameter. Defaults to None.
- grey_color (
str, optional): Color for the labels that aren't included in color_map. Defaults to 'grey'.
- trim (
bool, optional): Puts the last word of the label on a new line if the string if
wider than the box. Defaults to True.
- show_vals (
bool, optional): Display the values in the box. Defaults to True.
- hspace (
int, optional): Spacing between rows. Defaults to 0.
- vspace (
int, optional): Spacing between columns. Defaults to 0.
- labelpad (
int, optional): Spacing from the boxes to tick labels. Defaults to 0.
- label_fontsize (
int, optional): Fontsize of the box labels. Defaults to 5.
- tick_fontsize (
int, optional): Fontsize of the column labels. Defaults to 6.
- ax (matplotlib axes object, optional): An axes of the current figure. Defaults to None.
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