I am plotting two time series and computing varies indices for them.
How to write these indices for these plots outside the plot using annotation
or text
in python?
Below is my code
import matplotlib.pyplot as plt obs_graph=plt.plot(obs_df['cms'], '-r', label='Observed') plt.legend(loc='best') plt.hold(True) sim_graph=plt.plot(sim_df['cms'], '-g', label="Simulated") plt.legend(loc='best') plt.ylabel('Daily Discharge (m^3/s)') plt.xlabel('Year') plt.title('Observed vs Simulated Daily Discharge') textstr = 'NSE=%.2f\nRMSE=%.2f\n'%(NSE, RMSE) # print textstr plt.text(2000, 2000, textstr, fontsize=14) plt.grid(True) plt.show()
I want to print teststr
outside the plots. Here is the current plot:
To add caption to the figure, use text() method. Adjust the padding between and around the subplots. To display the figure, use show() method.
It's probably best to define the position in figure coordinates instead of data coordinates as you'd probably not want the text to change its position when changing the data.
Using figure coordinates can be done either by specifying the figure transform (fig.transFigure
)
plt.text(0.02, 0.5, textstr, fontsize=14, transform=plt.gcf().transFigure)
or by using the text
method of the figure instead of that of the axes.
plt.gcf().text(0.02, 0.5, textstr, fontsize=14)
In both cases the coordinates to place the text are in figure coordinates, where (0,0)
is the bottom left and (1,1)
is the top right of the figure.
At the end you still may want to provide some extra space for the text to fit next to the axes, using plt.subplots_adjust(left=0.3)
or so.
Looks like the text is there but it lies outside of the figure boundary. Use subplots_adjust()
to make room for the text:
import matplotlib.pyplot as plt textstr = 'NSE=%.2f\nRMSE=%.2f\n'%(1, 2) plt.xlim(2002, 2008) plt.ylim(0, 4500) # print textstr plt.text(2000, 2000, textstr, fontsize=14) plt.grid(True) plt.subplots_adjust(left=0.25) plt.show()
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With