So, I have this function of the polar angle $\theta$, with a varying parameter $t$:
{Cos[\[Theta]] (1 + Sin[t]), Sin[\[Theta]]}
and I want to draw it in a parametric plot, with respect to the angle $\theta$, showing the variation with $t$:
ParametricPlot[ Table[{Cos[\[Theta]] (1 + Sin[t]), Sin[\[Theta]]}, {t, 0, 2 \[Pi], \[Pi]/10}], {\[Theta], 0, 2 \[Pi]}, PlotRange -> {{-2, 2}, {-1.5, 1.5}}]

I need to make this picture with different colours (and/or with thickness) for every different functions of the parameter $t$. For example, I'd like to see a thick black circle with $t=0$, and varying grey thinner ellipses with increasing $t$... The bigger the parameter, the lighter the colour and thinner the lines.
My problem is that I can't include these instructions within the command Table[ ].
When I try to set PlotStyle-> every function of the family changes in the same way!
Thank you all in advance!
Evaluated -> True. Please see the linked question for more details on this behavior – rm -rf Feb 20 '14 at 16:01PlotStyleso I assumed you were familiar with it. If you don't like the default colors, you need to set the style for each curve in your plot yourself. You can create a color generating function that varies with t the way you want it to (lighter colors for increasing t) and create a table for the colors. – rm -rf Feb 20 '14 at 16:17PlotStyle. You need to pass a list of colors separately toPlotStyleafter the arguments. Options always come after the required arguments. And yes, you must define the dependence of the colors witht, as otherwise, Mathematica won't know what color you want for which t. – rm -rf Feb 20 '14 at 16:29With[{t = Range[0, \[Pi]/2, \[Pi]/10]}, ParametricPlot[{Cos[\[Theta]] (1 + Sin[#]), Sin[\[Theta]]} & /@ t, {\[Theta], 0, 2 \[Pi]}, PlotRange -> {{-2, 2}, {-1.5, 1.5}}, Evaluated -> True, PlotStyle -> (ColorData["SunsetColors"] /@ Rescale@t)] ]If you use the full range 0–2π, then there are a lot of overlaps which obscures the information that you're trying to convey via colors. -π/2 to π/2 gives distinct curves, but that's not what you wanted to plot. In any case, that's something for you to decide. – rm -rf Feb 20 '14 at 16:38