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testStackbar.py
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149 lines (127 loc) · 7.16 KB
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# -*- coding:utf-8 -*-
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
import os
import platform
# 系统
print(platform.system())
# 相对路径
project_dir = os.path.abspath('.')
print(project_dir)
fileName = "stack.csv"
outFileName = "request_stack_bar.jpg"
fontName = "SimHei"
if platform.system() == 'Windows':
print('Windows系统')
fontName = ["SimHei"]
elif platform.system() == 'Linux':
print('Linux系统')
fontName = ["SimHei"]
elif platform.system() == 'Darwin':
print('MacOS系统')
fontName = ["PingFang HK"]
else:
print('其他')
# Mac字体 PingFang HK
# win字体 SimHei
plt.rcParams['font.sans-serif'] = fontName
plt.rcParams['font.family'] = 'sans-serif'
# 解决负号'-'显示为方块的问题
plt.rcParams['axes.unicode_minus'] = False
plt.rcParams['axes.labelsize'] = 32
plt.rcParams['xtick.labelsize'] = 24
plt.rcParams['ytick.labelsize'] = 24
plt.rcParams['legend.fontsize'] = 20
filePath = os.sep.join([project_dir, fileName])
outPath = os.sep.join([project_dir, outFileName])
# 全路径
# filePath = "D:\\request.csv"
# outPath = "D:\\request.jpg"
def main():
# 使用python下pandas库读取csv文件
data = pd.read_csv(filePath, encoding='utf-8')
# 读取列名
name_list = data.loc[:, '姓名']
january_list = data.loc[:, '一月']
february_list = data.loc[:, '二月']
march_list = data.loc[:, '三月']
april_list = data.loc[:, '四月']
may_list = data.loc[:, '五月']
june_list = data.loc[:, '六月']
july_list = data.loc[:, '七月']
august_list = data.loc[:, '八月']
september_list = data.loc[:, '九月']
october_list = data.loc[:, '十月']
november_list = data.loc[:, '十一月']
december_list = data.loc[:, '十二月']
# 设置画布
plt.figure(num=1, dpi=100, figsize=(24, 32))
# 堆积柱状图
plt.bar(np.arange(len(name_list)), january_list, label=u'1月业绩', tick_label=name_list, fc='r')
plt.bar(np.arange(len(name_list)), february_list, label=u'2月业绩', bottom=january_list, tick_label=name_list, fc='b')
plt.bar(np.arange(len(name_list)), march_list, label=u'3月业绩', bottom=january_list+february_list, tick_label=name_list, fc='g')
plt.bar(np.arange(len(name_list)), april_list, label=u'4月业绩', bottom=january_list+february_list+march_list, tick_label=name_list, fc='c')
plt.bar(np.arange(len(name_list)), may_list, label=u'5月业绩', bottom=january_list+february_list+march_list+april_list, tick_label=name_list, fc='y')
plt.bar(np.arange(len(name_list)), june_list, label=u'6月业绩', bottom=january_list+february_list+march_list+april_list+may_list, tick_label=name_list, fc='m')
plt.bar(np.arange(len(name_list)), july_list, label=u'7月业绩', bottom=january_list+february_list+march_list+april_list+may_list+june_list, tick_label=name_list, fc='WhiteSmoke')
plt.bar(np.arange(len(name_list)), august_list, label=u'8月业绩', bottom=january_list+february_list+march_list+april_list+may_list+june_list+july_list, tick_label=name_list, fc='pink')
plt.bar(np.arange(len(name_list)), september_list, label=u'9月业绩', bottom=january_list+february_list+march_list+april_list+may_list+june_list+july_list+august_list, tick_label=name_list, fc='olive')
plt.bar(np.arange(len(name_list)), october_list, label=u'10月业绩', bottom=january_list+february_list+march_list+april_list+may_list+june_list+july_list+august_list+september_list, tick_label=name_list, fc='navy')
plt.bar(np.arange(len(name_list)), november_list, label=u'11月业绩', bottom=january_list+february_list+march_list+april_list+may_list+june_list+july_list+august_list+september_list+october_list, tick_label=name_list, fc='linen')
plt.bar(np.arange(len(name_list)), december_list, label=u'12月业绩', bottom=january_list+february_list+march_list+april_list+may_list+june_list+july_list+august_list+september_list+october_list+november_list, tick_label=name_list, fc='teal')
# 添加数据标签，也就是给柱子顶部添加标签
x = np.arange(len(name_list))
y1 = np.array(list(january_list.values))
for a, b in zip(x, y1):
plt.text(a, b + 0.05, '%.0f' % b, ha='center', va='bottom', fontsize=24)
y2 = np.array(list((january_list+february_list).values))
for a, b in zip(x, y2):
plt.text(a, b + 0.05, '%.0f' % b, ha='center', va='bottom', fontsize=24)
y3 = np.array(list((january_list+february_list+march_list).values))
for a, b in zip(x, y3):
plt.text(a, b + 0.05, '%.0f' % b, ha='center', va='bottom', fontsize=24)
y4 = np.array(list((january_list+february_list+march_list+april_list).values))
for a, b in zip(x, y4):
plt.text(a, b + 0.05, '%.0f' % b, ha='center', va='bottom', fontsize=24)
y5 = np.array(list((january_list+february_list+march_list+april_list+may_list).values))
for a, b in zip(x, y5):
plt.text(a, b + 0.05, '%.0f' % b, ha='center', va='bottom', fontsize=24)
y6 = np.array(list((january_list+february_list+march_list+april_list+may_list+june_list).values))
for a, b in zip(x, y6):
plt.text(a, b + 0.05, '%.0f' % b, ha='center', va='bottom', fontsize=24)
y7 = np.array(list((january_list+february_list+march_list+april_list+may_list+june_list+july_list).values))
for a, b in zip(x, y7):
plt.text(a, b + 0.05, '%.0f' % b, ha='center', va='bottom', fontsize=24)
y8 = np.array(list((january_list+february_list+march_list+april_list+may_list+june_list+july_list+august_list).values))
for a, b in zip(x, y8):
plt.text(a, b + 0.05, '%.0f' % b, ha='center', va='bottom', fontsize=24)
y9 = np.array(list((january_list+february_list+march_list+april_list+may_list+june_list+july_list+august_list+september_list).values))
for a, b in zip(x, y9):
plt.text(a, b + 0.05, '%.0f' % b, ha='center', va='bottom', fontsize=24)
y10 = np.array(list((january_list+february_list+march_list+april_list+may_list+june_list+july_list+august_list+september_list+october_list).values))
for a, b in zip(x, y10):
plt.text(a, b + 0.05, '%.0f' % b, ha='center', va='bottom', fontsize=24)
y11 = np.array(list((january_list+february_list+march_list+april_list+may_list+june_list+july_list+august_list+september_list+october_list+november_list).values))
for a, b in zip(x, y11):
plt.text(a, b + 0.05, '%.0f' % b, ha='center', va='bottom', fontsize=24)
y12 = np.array(list((january_list+february_list+march_list+april_list+may_list+june_list+july_list+august_list+september_list+october_list+november_list+december_list).values))
for a, b in zip(x, y12):
plt.text(a, b + 0.05, '%.0f' % b, ha='center', va='bottom', fontsize=24, color='AliceBlue')
# x轴的字段
plt.xticks(np.arange(len(name_list)), name_list)
# 统计图的标题
plt.title(u"XX公司部门每月销售额", size=32)
# 显示图例
plt.legend()
# X坐标-横坐标标题
plt.xlabel(u'部门名称', size=24)
# Y坐标-纵坐标标题
plt.ylabel(u'销售额', size=24)
# 在展示图片前可以将画出的曲线保存到自己路径下的文件夹中
plt.savefig(outPath)
# 显示图像
plt.show()
print("all picture is starting")
if __name__ == "__main__":
main()