Hi, thank you for the fast reply. If was very helpful.
I managed to achive what I was looking for. See below:
What I did I create a 3rd line “-------” (‘senkou_c’). I calculated the line below like that.
df['senkou_c'] = np.nan
for index, row in df.iterrows():
if row['senkou_a'] < row['senkou_b']:
df.at[index,'senkou_c'] = row['senkou_a']
elif row['senkou_a'] > row['senkou_b']:
df.at[index,'senkou_c'] = row['senkou_b']
elif row['senkou_a'] == row['senkou_b']:
df.at[index,'senkou_c'] = row['senkou_b']
And then I plotted the like below:
if self.df.__contains__('senkou_c'):
trace = go.Scatter(
x = self.df['date'],
y = self.df['senkou_c'],
name = "------",
line = dict(color = ('rgba(255, 255, 255, 0)')))
self.data.append(trace)
if self.df.__contains__('senkou_b'):
trace = go.Scatter(
x = self.df['date'],
y = self.df['senkou_b'],
fill = 'tonexty',
name = "Senkou B",
fillcolor = 'rgba(255, 0, 0, 0.3)',
line = dict(color = ('rgba(255, 0, 0, 0.3)')))
self.data.append(trace)
if self.df.__contains__('senkou_c'):
trace = go.Scatter(
x = self.df['date'],
y = self.df['senkou_c'],
name = "------",
line = dict(color = ('rgba(255, 255, 255, 0)')))
self.data.append(trace)
if self.df.__contains__('senkou_a'):
trace = go.Scatter(
x = self.df['date'],
y = self.df['senkou_a'],
fill = 'tonexty',
name = "Senkou A",
fillcolor = 'rgba(0, 255, 0, 0.3)',
line = dict(color = ('rgba(0, 255, 0, 0.3)')))
self.data.append(trace)
I hope this will help other people looking for something similar.
Thank you,
Alex