Reputation: 17097
I have 2 functions , one plots a time series line, other plots the autocrrelation.
def plotacorr(dfasst):
# Plot autocorrelation
plt.acorr(dfasst, maxlags=3)
# Add labels to autocorrelation plot
plt.title('Autocorrelation of Asset Balances with previous Months Balances')
plt.xlabel('Lag in Months')
plt.ylabel('Autocorrelation')
# Display the autocorrelation plot
#plt.show()
plt.savefig('C:/acorr_assets.jpeg')
def plottrend(df_acctsmry2):
fig, ax = plt.subplots()
fmt = '${x:,.0f}'
tick = mtick.StrMethodFormatter(fmt)
ax.yaxis.set_major_formatter(tick)
df_acctsmry2.plot(x='REPORTING_DATE',ax=ax,figsize=(20,12))
plt.xticks(fontsize=20)
plt.yticks(fontsize=20)
plt.xlabel('REPORTING_DATE', fontsize=18)
#plt.show()
plt.savefig('C:/output.jpeg')
I first call plottrend, followed by plotacorr But it seems that somehow the plt object is getting sharedbetween the 2 plots, so in the autocorrelation plot, I see the same result as plottrend.
Upvotes: 0
Views: 38
Reputation: 6091
Uncomment the plt.show()
on each function, that should do it (or call a plt.show()
between the call to functions).
Upvotes: 1