从Pandas DataFrame重叠烛台图中的日期

Question

我有一个pandas数据帧输出如下

        Open   High    Low  Close
2016-06-01  69.60  70.20  69.44  69.76
2016-06-02  70.00  70.15  69.45  69.54
2016-06-03  69.51  70.48  68.62  68.91
2016-06-04  69.51  70.48  68.62  68.91
2016-06-05  69.51  70.48  68.62  68.91
2016-06-06  70.49  71.44  69.84  70.11

我使用以下代码制作烛台图:

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.ticker as mticker
from matplotlib.finance import candlestick_ohlc
import matplotlib.dates as mdates
import datetime as dt

#Reset the index to remove Date column from index
df_ohlc = df.reset_index()

#Naming columns
df_ohlc.columns = ["Date","Open","High",'Low',"Close"]

#Converting dates column to float values
df_ohlc['Date'] = df_ohlc['Date'].map(mdates.date2num)

#Making plot
fig = plt.figure()
ax1 = plt.subplot2grid((6,1), (0,0), rowspan=6, colspan=1)

#Converts raw mdate numbers to dates
ax1.xaxis_date()
plt.xlabel("Date")
print(df_ohlc)

#Making candlestick plot
candlestick_ohlc(ax1,df_ohlc.values,width=1, colorup='g', colordown='k',alpha=0.75)
plt.ylabel("Price")
plt.legend()

plt.show()

我得到一个烛台情节,但日期重叠,我想知道如何解决这个问题？此外,我想知道为什么传说没有出现.

Answer 1

以下代码解决了数据重叠问题

fig.autofmt_xdate()