Preface:
Pie charts are used to present the size of the items in a data series as a percentage of the sum of the items, and Matplotlib provides the()method of plotting bar graphs.The syntax is formatted as follows:
(x, explode=None, labels=None, colors=None, autopct=None,
pctdistance=0.6, shadow=False, labeldistance=1.1,
startangle=0, radius=1, counterclock=True, wedgeprops=None,
textprops=None, center=(0, 0), frame=False,
rotatelabels=False, *, normalize=None, data=None)Commonly used parameters and descriptions are listed below:
- x: array type, the data for plotting the pie chart, represents the size of the sector corresponding to the array element
- explode: indicates the interval between sectors.
- labels: the labels of each sector, receive list type
- colors: the color of each sector, the default is set automatically according to the color cycle.
- autopct: Indicates the format of displaying the percentage of each sector within the pie chart, which can be displayed in a formatted way, e.g. set to
%d%%Indicates an integer percentage, set to%0.2findicates the retention of two decimal places.%0.2f%%Percentage expressing one decimal place - pctdistance: indicates the percentage label relative to the radius of the pie chart, the default is 0.6, that is, within the pie chart, such as the number set to >1 indicates that the pie chart outside the display
- labeldistance: indicates the ratio of labels labels relative to the radius, default value is 1.1, means outside the pie chart
- radius: the size of the radius of the pie chart, default is 1.
- shadow: indicates whether to add a shadow effect to the pie chart, default is False.
Of course, there are other parameters that are not commonly used, so I won't list them here.
For example, plotting a pie chart of the percentage of popularity of each city:
import as plt x = [20, 30, 15, 35] # Pie chart labels labels = ["tianjin","shanghai","jinan","beijing"] (x,labels=labels,autopct='%.2f%%') ()
The resultant output is as follows:
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