Python/Pandas calculate Ichimoku chart components

Question

I have Pandas DataFrame object with Date, Open, Close, Low and High daily stock data. I want to calculate components of Ichimoku chart. I can get my data using the following cod

Answer 1

high_9 = pd.rolling_max(df.high, window= 9)
low_9 =  pd.rolling_min(df.low, window= 9)
df['conversion_line'] = (high_9 + low_9) /2

high_26 = pd.rolling_max(df.high, window= 26)
low_26 = pd.rolling_min(df.low, window= 26)
df['base_line'] = (high_26 + low_26) / 2

df['leading_span_A'] = ((df.conversion_line + df.base_line) / 2).shift(30)

high_52 = pd.rolling_max(df.high, window= 52)
low_52 = pd.rolling_min(df.high, window= 52)
df['leading_span_B'] = ((high_52 + low_52) / 2).shift(30)

df['lagging_span'] = df.close.shift(-30)

fig,ax = plt.subplots(1,1,sharex=True,figsize = (20,9)) #share x axis and set a figure size
ax.plot(df.index, df.close,linewidth=4) # plot Close with index on x-axis with a line thickness of 4


# use the fill_between call of ax object to specify where to fill the chosen color
# pay attention to the conditions specified in the fill_between call
ax.fill_between(df.index,leading_span_A,df.leading_span_B,where = df.leading_span_A >= df.leading_span_B, color = 'lightgreen')
ax.fill_between(df.index,df.leading_span_A,df.leading_span_B,where = leading_span_A < df.leading_span_B, color = 'lightcoral')