【python画图】

import numpy as np

import numpy.random

import matplotlib.pyplot as plt

# Generate some test data

x = np.random.randn(8873)

y = np.random.randn(8873)

heatmap, xedges, yedges = np.histogram2d(x, y, bins=50)

extent = [xedges[0], xedges[-1], yedges[0], yedges[-1]]

plt.clf()

# plt.xlabel('yaw')

# plt.ylabel('ptich')

plt.imshow(heatmap.T, extent=extent, origin='lower')

plt.show()

import pandas as pd

import matplotlib.pyplot as plt

def main():

    # 读取数据文件

    df = pd.read_excel("../data/RT_TestResult.xls")

    # 取出身高和体重两列数据

    height = df['Height']

    weight = df['Weight']

    plt.scatter(height, weight)

    # x，y取值范围设置

    # 可以过滤掉一部分脏数据

    plt.xlim(30, 160)

    plt.ylim(5, 50)

    plt.axis()

    # 设置title和x，y轴的label

    plt.title("Height And Weight")

    plt.xlabel("Height")

    plt.ylabel("Weight")

    # 保存图片到指定路径

    plt.savefig("../data/HeightAndWeight.png")

    # 展示图片 *必加

    plt.show()

if __name__ == '__main__':

    main()

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作者：geanwen

来源：CSDN

原文：https://blog.csdn.net/geanwen/article/details/78637705

版权声明：本文为博主原创文章，转载请附上博文链接！

import matplotlib.pyplot as plt

names = ['张三', '李四', '王五', '赵六', '马七']

x = range(len(names))

y = [3, 4, 2, 5, 1]

plt.plot(x, y, 'ro-')

plt.xticks(x, names, rotation=45)

plt.margins(0.08)

plt.subplots_adjust(bottom=0.15)

plt.show()

作者：金天

链接：https://www.zhihu.com/question/45432463/answer/123904407

来源：知乎

著作权归作者所有。商业转载请联系作者获得授权，非商业转载请注明出处。

import matplotlib

matplotlib.use('Agg')

import  matplotlib.pyplot as plt

plt.plot(x,rate_list,'ro-')

plt.savefig('rate.png')