Python绘制Xaxis范围为09:00到15:30之间的时间...更新plotly'布局“” ＆＃x27; x-axis;？

Question

我正在尝试创建一个情节图表，以分析市场时间（09:00至15:30）。我需要帮助整天设置图片的X轴范围。目前，它显示了“ CSV”文件中可用的范围。

但是，在当天开始时，出口图JPG（1920x1080）是难以辨认的，直到至少中午（由于绘制了绘制方式）

。

当天开始时的“ some_stock.csv”中的数据...

TIME,open,high,low,close,Volume,RSI,rsi_30,rsi_70
2022-05-19 09:15:00,359.65,359.65,359.65,359.65,0,,30,70
2022-05-19 09:18:00,359.45,359.5,358.5,358.5,138161,,30,70
2022-05-19 09:21:00,358.6,358.75,358.45,358.7,96990,,30,70
2022-05-19 09:24:00,358.7,359.75,358.7,359.75,71892,,30,70
2022-05-19 09:27:00,359.75,359.9,359.25,359.9,64233,,30,70
2022-05-19 09:30:00,360,360.25,359.55,360.25,42732,,30,70
2022-05-19 09:33:00,359.6,360.4,359.6,359.75,103614,,30,70
2022-05-19 09:36:00,359.75,359.85,359.4,359.65,48508,,30,70
2022-05-19 09:39:00,359.85,359.85,359.45,359.5,22259,,30,70
2022-05-19 09:42:00,359.5,359.5,359.3,359.4,44802,,30,70

被执行的代码。

import pandas as pd
from datetime import datetime
import plotly.graph_objects as go

## Creating a time range for that day in datetime format...
now_timeeee = datetime.now().strftime('%Y-%m-%d')
string_start_time = now_timeeee+str(" 09:00:00")
start_timeeee = datetime.strptime(string_start_time, '%Y-%m-%d %H:%M:%S')
string_end_time = now_timeeee+str(" 15:30:00")
end_timeeee = datetime.strptime(string_end_time , '%Y-%m-%d %H:%M:%S')

## Graph Plotting...
df = pd.read_csv("some_stock.csv")

layoutt = go.Layout(autosize=False, width=1920, height=1368, title="some_stock")
fig_001 = go.Figure(data=[go.Candlestick(x=df.index, open=df["open"], high=df["high"], low=df["low"], close=df["close"], name="some_stock"), go.Scatter(x=df.index, y=df["RSI"], mode="markers+lines", name="RSI", yaxis="y2")], layout=layoutt).update_layout(yaxis_domain=[0.25, 1], yaxis2={"domain": [0, 0.20]}, xaxis_rangeslider_visible=False, showlegend=True)
fig_001.update_xaxes(dict(range=[start_timeeee, end_timeeee]))
fig_001.add_trace(go.Scatter(x=df.index, y=df["rsi_30"], name = '30 line', yaxis="y2", line=dict(color='darkcyan', width=1)))
fig_001.add_trace(go.Scatter(x=df.index, y=df["rsi_70"], name = '70 line', yaxis="y2", line=dict(color='darkgreen', width=1)))
fig_001.write_image("images/fig_"+"some_stock"+".jpeg")

导出图片如下。

导出图表

在代码中添加该行与X轴有任何不同的区别固定为900小时至1530小时的范围

fig_001.update_xaxes(dict(range=[start_timeeee, end_timeeee]))

Answer 1

更改问题来找到答案

df = pd.read_csv("some_stock.csv")

通过

df = pd.read_csv("ambujacem_3m.csv", index_col=0, parse_dates=True)

是将日期读取为日期，也使其成为数据的索引。因此，它似乎已经解决了问题。