1 | initial version |

I asked about plotting to high precision on sage-support, and got the a few suggestions. One that works for me is, rather than plot the function, instead generate pairs `(a, V(a,1))`

and draw the plot connecting those points. Combining this with an appropriate call to `numerical_approx`

(also known as just `n`

) works well:

```
L = [(a, V(a,1).n(1000)) for a in sxrange(0, 30, 0.01)]
plot(line(L))
```

generates

2 | No.2 Revision |

I asked about plotting ~~to ~~with high precision on sage-support, and got the a few suggestions. One that works for me is, rather than plot the function, instead generate pairs `(a, V(a,1))`

and draw the plot connecting those points. Combining this with an appropriate call to `numerical_approx`

(also known as just `n`

) works well:

```
L = [(a, V(a,1).n(1000)) for a in sxrange(0, 30, 0.01)]
plot(line(L))
```

generates

3 | No.3 Revision |

I asked about plotting with high precision on sage-support~~, ~~ and got the a few suggestions. One that works for me is, rather than plot the function, instead generate pairs `(a, V(a,1))`

and draw the plot connecting those points. Combining this with an appropriate call to `numerical_approx`

(also known as just `n`

) works well:

```
L = [(a, V(a,1).n(1000)) for a in sxrange(0, 30, 0.01)]
plot(line(L))
```

generates

4 | No.4 Revision |

I asked about plotting with high precision on the Google group sage-support and got the a few suggestions. One that works for me is, rather than plot the function, instead generate pairs `(a, V(a,1))`

and draw the plot connecting those points. Combining this with an appropriate call to `numerical_approx`

(also known as just `n`

) works well:

```
L = [(a, V(a,1).n(1000)) for a in sxrange(0, 30, 0.01)]
plot(line(L))
```

generates

5 | No.5 Revision |

I asked about plotting with high precision on the Google group sage-support and got the a few suggestions. One that works for me is, rather than plot the function, instead generate pairs `(a, V(a,1))`

and draw the plot connecting those points. Combining this with an appropriate call to `numerical_approx`

(also known as just `n`

) works well:

`L = `~~[(a, V(a,1).n(1000)) ~~[(x, V(x,1).n(1000)) for ~~a ~~x in sxrange(0, 30, 0.01)]
plot(line(L))

generates

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