我已經(jīng)編寫了顯示 MACD 指標(biāo)圖的代碼。我在這里做了什么：import pandas as pdimport numpy as npimport matplotlib.pyplot as pltimport matplotlib.dates as mdatesdf = pd.read_csv(#stock_chart)df = df.rename(columns={"<DTYYYYMMDD>":"Date"})df['Date'] = pd.to_datetime(df['Date'].astype(str), format="%Y%m%d")print(df.head())#seting index for graphdf = df.set_index(df['Date'].values)print(df.head())我的數(shù)據(jù)框的頭部是：#MacdS_term = 12L_term = 26s_ema = df.close.ewm(span=S_term, adjust=False).mean()l_ema = df.close.ewm(span=L_term, adjust=False).mean()#calculate MACDmacd = s_ema - l_emasignal_term = 9signal_line = macd.ewm(span= signal_term, adjust=False).mean()#plot the graphsplt.figure(figsize=(100,10)) #width = 12.2in, height = 4.5plt.plot(df.index, macd, label='macd', color = 'red')plt.plot(df.index, signal_line, label='Signal Line', color='blue')plt.tight_layout()plt.xticks(rotation=0)plt.legend(loc='upper left')plt.show()最后，我得到了這個：不管怎樣，問題是盡管行索引標(biāo)簽是這樣的：2020-08-19 or "%Y%m%d"圖形標(biāo)簽不完整，如果我重新排序，數(shù)據(jù)就會相互重疊。我需要做什么 ？
1 回答
茅侃侃
TA貢獻1842條經(jīng)驗 獲得超21個贊
您可以使用Date locators和Date formatters。
import numpy
import matplotlib.pyplot as plt
import matplotlib.dates as mdates
import pandas
N = 192
numpy.random.seed(N)
dates = pandas.date_range('1/1/2004', periods=N, freq='m')
df = pandas.DataFrame(
? ? data=numpy.random.randn(N),?
? ? index=dates,
? ? columns=['A']
)
fig, ax = plt.subplots()
ax.plot(df.index, df['A'])
ax.xaxis.set_major_locator(mdates.YearLocator())
ax.xaxis.set_major_formatter(mdates.DateFormatter('%Y'))
fig.autofmt_xdate()
plt.show()
interval是每次迭代之間的間隔。例如，如果interval=2，標(biāo)記每兩次出現(xiàn)一次。
import numpy
import matplotlib.pyplot as plt
import matplotlib.dates as mdates
import pandas
N = 192
numpy.random.seed(N)
dates = pandas.date_range('1/1/2004', periods=N, freq='m')
df = pandas.DataFrame(
? ? data=numpy.random.randn(N),?
? ? index=dates,
? ? columns=['A']
)
fig, ax = plt.subplots()
ax.plot(df.index, df['A'])
ax.xaxis.set_major_locator(mdates.MonthLocator(interval=5))
ax.xaxis.set_major_formatter(mdates.DateFormatter('%Y-%m'))
fig.autofmt_xdate()
plt.show()
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