Legend generate additional space when it combines add_legend function with the legend option in plot function

[DanielCampoo]

When I add a legend using the Add_legend function to display the opening, high, low, and closing data of the stock based on the cursor position, and combine it with the 'legend' option of the plot function, extra spaces are generated in the legend label of the chart (see photos). How can this problem be resolved?

The code used is:

import finplot as fplt
import pandas as pd
import requests
from io import StringIO
from time import time

load data and convert date

end_t = int(time())
start_t = end_t - 2430246060 # 24 months
symbol = 'SPY'
interval = '1d'
url = 'https://query1.finance.yahoo.com/v7/finance/download/%s?period1=%s&period2=%s&interval=%s&events=history' % (symbol, start_t, end_t, interval)
r = requests.get(url, headers={'user-agent':'Mozilla/5.0'})
df = pd.read_csv(StringIO(r.text))
df['Date'] = pd.to_datetime(df['Date']).astype('int64') # use finplot's internal representation, which is ns

ax,ax2 = fplt.create_plot('S&P 500 MACD', rows=2)

plot macd with standard colors first

macd = df.Close.ewm(span=12).mean() - df.Close.ewm(span=26).mean()
signal = macd.ewm(span=9).mean()
df['macd_diff'] = macd - signal
fplt.volume_ocv(df[['Date','Open','Close','macd_diff']], ax=ax2, colorfunc=fplt.strength_colorfilter)
fplt.plot(macd, ax=ax2, legend='MACD')
fplt.plot(signal, ax=ax2, legend='Signal')

change to b/w coloring templates for next plots

fplt.candle_bull_color = fplt.candle_bear_color = fplt.candle_bear_body_color = '#000'
fplt.volume_bull_color = fplt.volume_bear_color = '#333'
fplt.candle_bull_body_color = fplt.volume_bull_body_color = '#fff'

plot price and volume

fplt.candlestick_ochl(df[['Date','Open','Close','High','Low']], ax=ax)
hover_label = fplt.add_legend('', ax=ax)
axo = ax.overlay()
fplt.volume_ocv(df[['Date','Open','Close','Volume']], ax=axo)
fplt.plot(df.Volume.ewm(span=24).mean(), ax=axo, color=1)

Plot SMA20

sma = df.Close.rolling(20).mean()
fplt.plot(sma, ax=ax, legend='SMA20')

Plot SMA50

sma = df.Close.rolling(50).mean()
fplt.plot(sma, ax=ax, legend='SMA50')

#######################################################

update crosshair and legend when moving the mouse

def update_legend_text(x, y):
row = df.loc[df.Date==x]
# format html with the candle and set legend
fmt = '%%.2f' % ('0b0' if (row.Open<row.Close).all() else 'a00')
rawtxt = '%%s %%s   O%s C%s H%s L%s' % (fmt, fmt, fmt, fmt)
values = [v.iloc[0] for v in (row.Open, row.Close, row.High, row.Low)]
hover_label.setText(rawtxt % tuple([symbol, interval.upper()] + values))

def update_crosshair_text(x, y, xtext, ytext):
ytext = '%s (Close%+.2f)' % (ytext, (y - df.iloc[x].Close))
return xtext, ytext

fplt.set_mouse_callback(update_legend_text, ax=ax, when='hover')
fplt.add_crosshair_info(update_crosshair_text, ax=ax)

fplt.show()

[highfestiva]

You might be able to get rid of the spacing by using the same HTML-layout technique used for legend previously. You probably have to look into pyqtgraph to be able to adjust that margin or layout.