Exemplo n.º 1
0
import numpy as np
import matplotlib.pyplot as plt
import Chinese as ch

x = np.linspace(0, 10, 1000)
y = np.sin(x)
z = np.cos(x**2)

plt.figure(figsize=(8, 4))
plt.plot(x, y, label="sin(x)", color="red", linewidth=2)
plt.plot(x, z, "b--", label="cos(x^2)")
ch.set_ch('ST', 12)
plt.xlabel(u"X轴-Time(s)")
plt.ylabel(u"Y轴-Volt")
ch.set_ch('FS', 20)
plt.title(u"中国电建一二•五联合体")
plt.ylim(-1.2, 1.2)
plt.legend()
plt.show()
Exemplo n.º 2
0
import matplotlib.pyplot as plt
import pandas as pd
from pandas.core.frame import DataFrame
import time
import Chinese as fnt

fnt.set_ch('YH', 12)
df_jbcwzb = pd.read_excel('./数据-下载/html-201806-网易-主要财务指标-年度.xlsx')
data_reportDate = df_jbcwzb.ix[0, 1:].sort_index(ascending=False)

plt.rc('xtick', labelsize=8)
plt.rc('ytick', labelsize=8)

plt.subplot(311)
# 基本每股收益
data_jbmgsy = df_jbcwzb.ix[1, 1:].replace('--',
                                          '0').sort_index(ascending=False)
plt.plot(data_reportDate, data_jbmgsy.astype(float), label='a')
plt.legend()
plt.xticks(rotation=90)
# plt.xlabel('年报日期')
plt.ylabel('每股收益')
plt.title('600366-每股收益')

plt.subplot(312)
# 基本每股收益
data_kfjlr = df_jbcwzb.ix[11, 1:].replace('--',
                                          '0').sort_index(ascending=False)
plt.plot(data_reportDate, data_kfjlr.astype(float), label='a')
plt.legend()
plt.xticks(rotation=90)