Created
May 22, 2017 17:15
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import pandas as pd | |
import numpy as np | |
import matplotlib.pyplot as plt | |
import datetime as dt | |
from pandas import Series,DataFrame | |
from datetime import datetime | |
from dateutil.parser import parse | |
import time | |
from pandas.tseries.offsets import Hour,Minute,Day,MonthEnd | |
import pytz | |
import random;random.seed(0) | |
import string | |
from numpy.random import rand | |
import pandas_datareader as web | |
import matplotlib | |
matplotlib.style.use('ggplot') | |
hk2=pd.read_excel('d:/bbb.xlsx').iloc[::-1] | |
hk1=hk2.set_index('截止时间') | |
hk3=hk1.shift(1) | |
hk=hk1-hk3 | |
hk.iloc[0,:]=hk2.iloc[0,:] | |
hk.index=hk1.index | |
hk=hk.rename(columns={'累计汇入金额':'单月销售额'}) | |
hk=hk.rename(columns={'累计汇出金额':'单月赎回额'}) | |
hk=hk.rename(columns={'累计净汇入金额':'单月净销额'}) | |
hk['单月赎回']=-1*hk['单月赎回额'] | |
del hk['单月赎回额'] | |
hk=hk[['单月销售额','单月赎回','单月净销额']] | |
fig=plt.figure() | |
ax=hk[['单月销售额','单月赎回']].plot.bar() | |
ax2=ax.twinx() | |
ax2.plot(ax.get_xticks(),hk['单月净销额'],color='black') | |
plt.show() | |
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