Ive seen lots of examples around, but i cant seem to adapt any to my
implementation.
The only thing i want is to change what values the colorbar shows. In the
colorbar there are values from 1 to 1e+9, and im only interested in the
values from 1e+4 to 1e+9...
pc = ax.pcolor(pr[2].transpose(),norm=LogNorm(vmin=1),cmap=cm.jet)
ax.set_yticks(np.arange(0-(arr_agl[0]*escala)/1000,
(arr_agl[600]*escala)/1000, escala))
ax.set_yticklabels(range(20))
ax.set_ylim(0, 600)
ax.set_xlim(0,len(valores2))
ax.xaxis.LABELPAD = 18
for label in ax.get_xticklabels() + ax.get_yticklabels():
label.set_fontsize(16)
plt.xlabel('Time of Measurement',fontsize=16)
plt.ylabel('HEIGHT above ground level, km',fontsize=16)
colorbar = fig.colorbar(pc)
Thx...
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Ive seen lots of examples around, but i cant seem to adapt any to my
implementation.
The only thing i want is to change what values the colorbar shows. In the
colorbar there are values from 1 to 1e+9, and im only interested in the
values from 1e+4 to 1e+9...
pc = ax.pcolor(pr[2].transpose(),norm=LogNorm(vmin=1),cmap=cm.jet)
Have you tried using vmin=1e4 above?
ax.set_yticks(np.arange(0-(arr_agl[0]*escala)/1000,
(arr_agl[600]*escala)/1000, escala))
ax.set_yticklabels(range(20))
ax.set_ylim(0, 600)
ax.set_xlim(0,len(valores2))
ax.xaxis.LABELPAD = 18
for label in ax.get_xticklabels() + ax.get_yticklabels():
label.set_fontsize(16)
plt.xlabel('Time of Measurement',fontsize=16)
plt.ylabel('HEIGHT above ground level, km',fontsize=16)
colorbar = fig.colorbar(pc)
With the suggested change to vmin, you might want to use the colorbar kwarg extend='min'.
Eric
···
On 04/18/2011 06:07 AM, Muffles wrote:
Thx...
efiring wrote:
Have you tried using vmin=1e4 above?
Well that did the trick...how did i miss that...thankyou!
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