Day2_机器学习_数据分析:Matplotlib散点图、条形图、直方图的绘制

1、散点图的绘制

绘制目标:
Day2_机器学习_数据分析:Matplotlib散点图、条形图、直方图的绘制_第1张图片
实现代码:

#!usr/bin/env python
# -*- coding:utf-8 _*-
"""
@author: Administrator
@file: 15-4.py
@time: 2022/05/28
@desc: 绘制散点图
"""

from matplotlib import pyplot as plt
from matplotlib import font_manager
import random

# 设置图形风格
my_font = font_manager.FontProperties(fname="SimHei.ttf", size=8)

y_3 = [11, 17, 16, 11, 12, 11, 12, 6, 6, 7, 8, 9, 12, 15, 14, 17, 18, 21, 16, 17, 20, 14, 5, 15, 15, 19, 21, 22, 22, 22, 23]
y_10 = [26, 26, 28, 19, 21, 17, 16, 19, 18, 20, 20, 19, 22, 23, 17, 20, 21, 20, 22, 15, 11, 15, 5, 13, 17, 10, 11, 13, 12, 13, 6]

x_3 = range(1, 32)
x_10 = range(51, 82)

# 设置图形大小
plt.figure(figsize=(10, 4), dpi=80)

# 画散点图
plt.scatter(x_3, y_3, label="3月份")
plt.scatter(x_10, y_10, label="10月份")

# 调整x轴的刻度
_x = list(x_3) + list(x_10)
_xtick_labels = ["3月{}日".format(i) for i in x_3]
_xtick_labels += ["10月{}日".format(i-50) for i in x_10]
plt.xticks(_x[::3], _xtick_labels[::3], fontproperties=my_font, rotation=45)

# 添加图例
plt.legend(loc="upper left", prop=my_font)

# 添加描述信息
plt.xlabel("时间", fontproperties=my_font)
plt.ylabel("温度", fontproperties=my_font)
plt.title("标题", fontproperties=my_font)

# 展示
plt.show()

2、条形图的绘制

绘制目标1:
Day2_机器学习_数据分析:Matplotlib散点图、条形图、直方图的绘制_第2张图片
实现代码:

#!usr/bin/env python
# -*- coding:utf-8 _*-
"""
@author: Administrator
@file: 15-5.py
@time: 2022/05/28
@desc: 绘制条形图
"""

from matplotlib import pyplot as plt
from matplotlib import font_manager

# 设置中文字体
my_font = font_manager.FontProperties(fname="SimHei.ttf", size=8)

a = ["战狼2", "速度与激情8", "功夫瑜伽", "西游伏妖篇", "变形金刚5:最后的骑士", "摔跤吧!爸爸", "加勒比海盗5:死无对证", "金刚:骷髅岛", "极限特工:终极回归",
     "生化危机6:终章", "乘风破浪", "神偷奶爸3", "智取威虎山", "大闹天竺", "金刚狼3:殊死一战", "蜘蛛侠:英雄归来", "悟空传", "银河护卫队2", "情圣", "新木乃伊"]
b = [56.01, 26.94, 17.53, 16.49, 15.45, 12.96, 11.8, 11.61, 11.28, 11.12, 10.49, 10.3, 8.75, 7.55, 7.32, 6.99, 6.88, 6.86, 6.58, 6.23]

# 设置图形大小
plt.figure(figsize=(20, 15), dpi=80)

# 绘制条形图
x = range(len(a))  # 先取出长度,下面再一一对应
plt.bar(a, b, width=0.3)

# 设置字符串到x轴
plt.xticks(x, a, fontproperties=my_font, rotation=90)

# 展示
plt.show()

绘制目标2:
Day2_机器学习_数据分析:Matplotlib散点图、条形图、直方图的绘制_第3张图片
代码实现:

#!usr/bin/env python
# -*- coding:utf-8 _*-
"""
@author: Administrator
@file: 15-6.py
@time: 2022/05/28
@desc: 绘制条形图--横着显示
"""


from matplotlib import pyplot as plt
from matplotlib import font_manager

# 设置中文字体
my_font = font_manager.FontProperties(fname="SimHei.ttf", size=8)

a = ["战狼2", "速度与激情8", "功夫瑜伽", "西游伏妖篇", "变形金刚5:最后的骑士", "摔跤吧!爸爸", "加勒比海盗5:死无对证", "金刚:骷髅岛", "极限特工:终极回归",
     "生化危机6:终章", "乘风破浪", "神偷奶爸3", "智取威虎山", "大闹天竺", "金刚狼3:殊死一战", "蜘蛛侠:英雄归来", "悟空传", "银河护卫队2", "情圣", "新木乃伊"]
b = [56.01, 26.94, 17.53, 16.49, 15.45, 12.96, 11.8, 11.61, 11.28, 11.12, 10.49, 10.3, 8.75, 7.55, 7.32, 6.99, 6.88, 6.86, 6.58, 6.23]

# 设置图形大小
plt.figure(figsize=(20, 15), dpi=80)

# 绘制条形图
x = range(len(a))  # 先取出长度,下面再一一对应
plt.barh(a, b, height=0.3, color="cyan")

# 设置字符串到y轴
plt.yticks(x, a, fontproperties=my_font)

# 展示
plt.show()

绘制目标3:
Day2_机器学习_数据分析:Matplotlib散点图、条形图、直方图的绘制_第4张图片
代码实现:

#!usr/bin/env python
# -*- coding:utf-8 _*-
"""
@author: Administrator
@file: 15-7.py
@time: 2022/05/28
@desc:  绘制多条条形图
"""

from matplotlib import pyplot as plt
from matplotlib import font_manager

# 中文显示
my_font = font_manager.FontProperties(fname="SimHei.ttf", size=8)

a = ["猩球崛起3:终极之战", "敦刻尔克", "蜘蛛侠:英雄归来", "战狼2"]
b_16 = [15746, 312, 4497, 319]
b_15 = [12357, 156, 2045, 168]
b_14 = [2358, 399, 2358, 362]

x_14 = list(range(len(a)))
x_15 = [i + 0.2 for i in x_14]
x_16 = [i + 0.2 * 2 for i in x_14]

# 设置图形大小
plt.figure(figsize=(20, 8), dpi=80)

# 绘制图形
plt.bar(range(len(a)), b_14, width=0.2, label="9月14日", color="red")
plt.bar(x_15, b_15, width=0.2, label="9月15日", color="cyan")
plt.bar(x_16, b_16, width=0.2, label="9月16日", color="orange")

# 设置图例
plt.legend(prop=my_font)

# 设置x轴的刻度
plt.xticks(x_15, a, fontproperties=my_font)

# 展示
plt.show()

3、直方图的绘制

绘制目标1
Day2_机器学习_数据分析:Matplotlib散点图、条形图、直方图的绘制_第5张图片
代码实现:

#!usr/bin/env python
# -*- coding:utf-8 _*-
"""
@author: Administrator
@file: 15-8.py
@time: 2022/05/28
@desc: 绘制直方图
"""

from matplotlib import pyplot as plt
from matplotlib import font_manager

# 设置中文显示
my_font = font_manager.FontProperties(fname="SimHei.ttf", size=8)

a = [131, 98, 125, 131, 124, 139, 131, 117, 128, 108, 135, 138, 131, 102, 107, 114, 119, 128, 121, 142, 127,
     130, 124, 101, 110, 116, 117, 110, 128, 128, 115,  99, 136, 126, 134,  95, 138, 117, 111, 78, 132, 124,
     113, 150, 110, 117, 86,  95, 144, 105, 126, 130, 126, 130, 126, 116, 123, 106, 112, 138, 123,  86, 101,
     99, 136, 123, 117, 119, 105, 137, 123, 128, 125, 104, 109, 134, 125, 127, 105, 120, 107, 129, 116, 108,
     132, 103, 136, 118, 102, 120, 114, 105, 115, 132, 145, 119, 121, 112, 139, 125, 138, 109, 132, 134, 156,
     106, 117, 127, 144, 139, 139, 119, 140, 83, 110, 102, 123, 107, 143, 115, 136, 118, 139, 123, 112, 118,
     125, 109, 119, 133, 112, 114, 122, 109, 106, 123, 116, 131, 127, 115, 118, 112, 135, 115, 146, 137, 116,
     103, 144, 83, 123, 111, 110, 111, 100, 154, 136, 100, 118, 119, 133, 134, 106, 129, 126, 110, 111, 109,
     141, 120, 117, 106, 149, 122, 122, 110, 118, 127, 121, 114, 125, 126, 114, 140, 103, 130, 141, 117, 106,
     114, 121, 114, 133, 137, 92, 121, 112, 146, 97, 137, 105, 98, 117, 112, 81, 97, 139, 113, 134, 106, 144,
     110, 137, 137, 111, 104, 117, 100, 111, 101, 110, 105, 129, 137, 112, 120, 113]

# 计算组数
d = 3  # 组距
# 组数
num_bins = (max(a)-min(a))//d
print(max(a), min(a), max(a)-min(a))
print(num_bins)


# 设置图形的大小
plt.figure(figsize=(20, 8), dpi=80)
plt.hist(a, num_bins, color="cyan")

# 设置x轴的刻度
plt.xticks(range(min(a), max(a)+d, d))

# 画网格
plt.grid()

# 展示
plt.show()

注意:
Day2_机器学习_数据分析:Matplotlib散点图、条形图、直方图的绘制_第6张图片
绘制目标2
Day2_机器学习_数据分析:Matplotlib散点图、条形图、直方图的绘制_第7张图片
代码实现

#!usr/bin/env python
# -*- coding:utf-8 _*-
"""
@author: Administrator
@file: 15-9.py
@time: 2022/05/28
@desc: 绘制直方图
"""

from matplotlib import pyplot as plt
from matplotlib import font_manager

interval = [0, 5, 10, 15, 20, 25, 30, 35, 40, 45, 60, 90]
width = [5, 5, 5, 5, 5, 5, 5, 5, 5, 15, 30, 60]
quantity = [836, 2737, 3723, 3926, 3596, 1438, 3273, 642, 824, 613, 215, 47]

print(len(interval), len(width), len(quantity))

# 设置图形大小
plt.figure(figsize=(20, 8), dpi=80)

x = range(12)
plt.bar(x, quantity, width=1)


# 设置x轴的刻度
_x = [i-0.5 for i in x]
_xtick_labels = interval
plt.xticks(_x, _xtick_labels)

# 画网格
plt.grid()

# 展示
plt.show()

更多关于直方图的语法参考下面链接:
matplotlib绘制直方图、条形图和饼图

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