[英]matplotlib: Second empty window on plt.show()
I usually don't ask questions on this platform, but I have a problem that quite bugs me.我通常不会在这个平台上提问,但是我有一个问题让我很烦恼。
Context语境
I have a function that plots data from a dataframe that has stockdata.我有一个 function 绘制来自具有 stockdata 的 dataframe 的数据。 It all works perfectly except for the fact that a second, empty window shows next to the actual graph whenever I execute this function.除了当我执行此 function 时在实际图形旁边显示第二个空 window 之外,这一切都运行良好。 (image) (图片)
Here is all the relevant code, I'd be very grateful if some smart people could help me.这是所有相关代码,如果有聪明人可以帮助我,我将不胜感激。
def plot(self):
plt.clf()
plt.cla()
colors = Colors()
data = self.getStockData()
if data.empty:
return
data.index = [TimeData.fromTimestamp(x) for x in data.index]
current, previous = data.iloc[-1, 1], data.iloc[0, 1]
percentage = (current / previous - 1) * 100
# Create a table
color = colors.decideColorPct(percentage)
# Create the table
fig = plt.figure(edgecolor=colors.NEUTRAL_COLOR)
fig.patch.set_facecolor(colors.BACKGROUND_COLOR)
plt.plot(data.close, color=color)
plt.title(self.__str2__(), color=colors.NEUTRAL_COLOR)
plt.ylabel("Share price in $", color=colors.NEUTRAL_COLOR)
plt.xlabel("Date", color=colors.NEUTRAL_COLOR)
ax = plt.gca()
ax.xaxis.set_major_formatter(plt_dates.DateFormatter('%Y/%m/%d %H:%M'))
ax.set_xticks([data.index[0], data.index[-1]])
ax.set_facecolor(colors.BACKGROUND_COLOR)
ax.tick_params(color=colors.NEUTRAL_COLOR, labelcolor=colors.NEUTRAL_COLOR)
for spine in ax.spines.values():
spine.set_edgecolor(colors.NEUTRAL_COLOR)
ax.yaxis.grid(True, color=colors.NEUTRAL_COLOR, linestyle=(0, (5, 10)), linewidth=.5)
plt.show()
Some notes:一些注意事项:
Matplotlib never gets used in the program before this. Matplotlib 在此之前从未在程序中使用过。
The data is standardized and consists of the following columns: open, low, high, close, volume.数据是标准化的,由以下列组成:开盘价、最低价、最高价、收盘价、成交量。
The index of the dataframe exists of timestamps, which gets converted to an index of datetime objects at the following line: data.index = [TimeData.fromTimestamp(x) for x in data.index]
dataframe 的索引存在时间戳,它在以下行转换为日期时间对象的索引: data.index = [TimeData.fromTimestamp(x) for x in data.index]
Remove plt.clf()
and plt.cla()
because it automatically creates window for plot when you don't have this window.删除plt.clf()
和plt.cla()
因为当你没有这个 window 时,它会自动为 plot 创建 window。
And later fig = plt.figure()
creates new window which it uses to display your plot.然后fig = plt.figure()
创建新的 window 用于显示您的 plot。
Minimal code for test最少的测试代码
import matplotlib.pyplot as plt
import pandas as pd
data = pd.DataFrame({'x': [1,2,3], 'y': [2,3,1]})
#plt.clf()
#plt.cla()
fig = plt.figure()
plt.plot(data)
ax = plt.gca()
plt.show()
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