Matplotlib在x轴上绘制多条黑线 [英] Matplotlib plots multiple dark lines on x axis

问题描述

以下是相关的情节.黑线覆盖了x轴，由于某种原因，我似乎无法调试它.我试图绘制一个数据帧中的两列，这是三个时期的SMA价格与时间的关系，如下面的代码所示.

The following is the plot in question. Dark lines are covering the x-axis, and for some reason it seems I cant debug this. Im trying to chart two columns from a dataframe, the 3 period SMA price against time as can be seen in the code below.

这是此代码的结果

import datetime

import matplotlib.pyplot as plt
import pandas as pd
from binance.client import Client

BASE = "ETH"
QUOTE = "USDT"
MARKET = BASE + QUOTE

client = Client("vitalik",
                "buterin")

klines = client.get_historical_klines(MARKET, Client.KLINE_INTERVAL_15MINUTE, "31 Dec, 2017", "13 Jan, 2018")

# temporary fix

for kline in klines:
    kline[0] = datetime.datetime.fromtimestamp(
        int(kline[0] / 1000)
    ).strftime('%Y-%m-%d %H:%M:%S')
    kline[6] = datetime.datetime.fromtimestamp(
        int(kline[6] / 1000)
    ).strftime('%Y-%m-%d %H:%M:%S')

df = pd.DataFrame(klines,
                  columns=["open_time", "open", "high", "low", "close", "volume", "close_time", "quote_asset_volume",
                           "trades", "base_volume", "quote_volume", "ignore"])

df['sma_3'] = df["close"].rolling(window=3).mean()

print(df.dtypes)

fig, ax = plt.subplots(figsize=(10, 6))
ax.xaxis_date()

plt.xticks(rotation=90)
plt.xlabel("Date")
plt.ylabel("Price")
plt.title(MARKET)
plt.plot_date(x=df["close_time"], y=df["sma_3"], fmt="r-")
plt.show()

print(df.dtypes)的结果是:

open_time              object
open                   object
high                   object
low                    object
close                  object
volume                 object
close_time             object
quote_asset_volume     object
trades                  int64
base_volume            object
quote_volume           object
ignore                 object
sma_5                 float64
sma_3                 float64
dtype: object

任何帮助将不胜感激.谢谢.

Any help would be highly appreciated. Thank you.

推荐答案

我认为x标签太多，因此需要将它们设置为不可见:

I think there is too many x labels, so need set them to not visible:

spacing = 10
visible = ax.xaxis.get_ticklabels()[::spacing]
for label in ax.xaxis.get_ticklabels():
    if label not in visible:
        label.set_visible(False)

plt.show()

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