Set the max value in colormap when using scale_color_viridis
5
Here is the code:
pic = ggplot(df_2,
aes(x = df_2$X, xend = df_2$X + df_2$dx, y = df_2$Y, yend = df_2$Y + df_2$dy, color = df_2$speedkt)) +
labs(title ="Surface Currents", x = "Longitude", y = "Latitude", colour="Speed (kts)") +
geom_segment(alpha = 0.7, arrow = arrow(length = unit(0.1,"cm"))) + coord_fixed() +
theme(panel.background = element_rect(fill = "transparent",colour = NA), plot.background = element_rect(fill = "transparent",colour = NA)) +
viridis::scale_color_viridis(option = "B", direction = -1)
You can see the color gradient follows the value of df_2$speedkt . The maximum value of df_2$speedkt is around 2.6.
So, the maximum value of the colormap in the legend is around 2.8.
But I wish to change the maximum value of the colormap to 4.0.
What I can do?
r ggplot2 viridis
edited Nov 14 '18 at 7:15
zx8754
29.6k76398
asked Nov 14 '18 at 4:57
Justin Justin
666
add a comment |
5
Here is the code:
pic = ggplot(df_2,
aes(x = df_2$X, xend = df_2$X + df_2$dx, y = df_2$Y, yend = df_2$Y + df_2$dy, color = df_2$speedkt)) +
labs(title ="Surface Currents", x = "Longitude", y = "Latitude", colour="Speed (kts)") +
geom_segment(alpha = 0.7, arrow = arrow(length = unit(0.1,"cm"))) + coord_fixed() +
theme(panel.background = element_rect(fill = "transparent",colour = NA), plot.background = element_rect(fill = "transparent",colour = NA)) +
viridis::scale_color_viridis(option = "B", direction = -1)
You can see the color gradient follows the value of df_2$speedkt . The maximum value of df_2$speedkt is around 2.6.
So, the maximum value of the colormap in the legend is around 2.8.
But I wish to change the maximum value of the colormap to 4.0.
What I can do?
r ggplot2 viridis
edited Nov 14 '18 at 7:15
zx8754
29.6k76398
asked Nov 14 '18 at 4:57
Justin Justin
666
1
Note thatggplot2has these scales build in nowadays,scale_color_viridis_cin this case.
– Axeman
Nov 14 '18 at 5:03
2
FYI, no need to usedf_2$insideggplotcall. You can just use bare column names
– Tung
Nov 14 '18 at 5:04
add a comment |
5
5
5
Here is the code:
pic = ggplot(df_2,
aes(x = df_2$X, xend = df_2$X + df_2$dx, y = df_2$Y, yend = df_2$Y + df_2$dy, color = df_2$speedkt)) +
labs(title ="Surface Currents", x = "Longitude", y = "Latitude", colour="Speed (kts)") +
geom_segment(alpha = 0.7, arrow = arrow(length = unit(0.1,"cm"))) + coord_fixed() +
theme(panel.background = element_rect(fill = "transparent",colour = NA), plot.background = element_rect(fill = "transparent",colour = NA)) +
viridis::scale_color_viridis(option = "B", direction = -1)
You can see the color gradient follows the value of df_2$speedkt . The maximum value of df_2$speedkt is around 2.6.
So, the maximum value of the colormap in the legend is around 2.8.
But I wish to change the maximum value of the colormap to 4.0.
What I can do?
r ggplot2 viridis
edited Nov 14 '18 at 7:15
zx8754
29.6k76398
asked Nov 14 '18 at 4:57
Justin Justin
666
Here is the code:
pic = ggplot(df_2,
aes(x = df_2$X, xend = df_2$X + df_2$dx, y = df_2$Y, yend = df_2$Y + df_2$dy, color = df_2$speedkt)) +
labs(title ="Surface Currents", x = "Longitude", y = "Latitude", colour="Speed (kts)") +
geom_segment(alpha = 0.7, arrow = arrow(length = unit(0.1,"cm"))) + coord_fixed() +
theme(panel.background = element_rect(fill = "transparent",colour = NA), plot.background = element_rect(fill = "transparent",colour = NA)) +
viridis::scale_color_viridis(option = "B", direction = -1)
You can see the color gradient follows the value of df_2$speedkt . The maximum value of df_2$speedkt is around 2.6.
So, the maximum value of the colormap in the legend is around 2.8.
But I wish to change the maximum value of the colormap to 4.0.
What I can do?
r ggplot2 viridis
r ggplot2 viridis
edited Nov 14 '18 at 7:15
zx8754
29.6k76398
asked Nov 14 '18 at 4:57
Justin Justin
666
edited Nov 14 '18 at 7:15
zx8754
29.6k76398
asked Nov 14 '18 at 4:57
Justin Justin
666
edited Nov 14 '18 at 7:15
zx8754
29.6k76398
edited Nov 14 '18 at 7:15
zx8754
29.6k76398
edited Nov 14 '18 at 7:15
zx8754
29.6k76398
29.6k76398
asked Nov 14 '18 at 4:57
Justin Justin
666
asked Nov 14 '18 at 4:57
Justin Justin
666
asked Nov 14 '18 at 4:57
Justin Justin
666
666
1
Note thatggplot2has these scales build in nowadays,scale_color_viridis_cin this case.
– Axeman
Nov 14 '18 at 5:03
2
FYI, no need to usedf_2$insideggplotcall. You can just use bare column names
– Tung
Nov 14 '18 at 5:04
add a comment |
1
Note thatggplot2has these scales build in nowadays,scale_color_viridis_cin this case.
– Axeman
Nov 14 '18 at 5:03
2
FYI, no need to usedf_2$insideggplotcall. You can just use bare column names
– Tung
Nov 14 '18 at 5:04
1
1
Note that
ggplot2 has these scales build in nowadays, scale_color_viridis_c in this case.– Axeman
Nov 14 '18 at 5:03
Note that
ggplot2 has these scales build in nowadays, scale_color_viridis_c in this case.– Axeman
Nov 14 '18 at 5:03
2
2
FYI, no need to use
df_2$ inside ggplot call. You can just use bare column names– Tung
Nov 14 '18 at 5:04
FYI, no need to use
df_2$ inside ggplot call. You can just use bare column names– Tung
Nov 14 '18 at 5:04
add a comment |
1 Answer
1
active
oldest
votes
4
To answer your main question, you should be able to pass limits = c(0, 4) as an argument to viridis::scale_color_viridis(), i.e.
viridis::scale_color_viridis(option = "B", direction = -1, limits = c(0, 4))
A couple of other points:
- Newer versions of
ggplot2have viridis scales built in, so you should be able to use:
scale_color_viridis_c(option = "B", direction = -1, limits = c(0, 4))
- In general, it's better not to use
df$colinaes(), just use the column name, e.g.
ggplot(df_2, aes(x = X, xend = X + dx, y = Y))
ggplot will look up the column names within the dataframe.
answered Nov 14 '18 at 5:02
MariusMarius
31.6k97174
can u insert the output ?
– sai saran
Nov 14 '18 at 5:26
2
@saisaran: The question doesn't provide an easy way to reproduce the data/plot, so I can't show how it changes the plot.
– Marius
Nov 14 '18 at 5:30
add a comment |
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1 Answer
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1 Answer
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4
To answer your main question, you should be able to pass limits = c(0, 4) as an argument to viridis::scale_color_viridis(), i.e.
viridis::scale_color_viridis(option = "B", direction = -1, limits = c(0, 4))
A couple of other points:
- Newer versions of
ggplot2have viridis scales built in, so you should be able to use:
scale_color_viridis_c(option = "B", direction = -1, limits = c(0, 4))
- In general, it's better not to use
df$colinaes(), just use the column name, e.g.
ggplot(df_2, aes(x = X, xend = X + dx, y = Y))
ggplot will look up the column names within the dataframe.
answered Nov 14 '18 at 5:02
MariusMarius
31.6k97174
can u insert the output ?
– sai saran
Nov 14 '18 at 5:26
2
@saisaran: The question doesn't provide an easy way to reproduce the data/plot, so I can't show how it changes the plot.
– Marius
Nov 14 '18 at 5:30
add a comment |
4
To answer your main question, you should be able to pass limits = c(0, 4) as an argument to viridis::scale_color_viridis(), i.e.
viridis::scale_color_viridis(option = "B", direction = -1, limits = c(0, 4))
A couple of other points:
- Newer versions of
ggplot2have viridis scales built in, so you should be able to use:
scale_color_viridis_c(option = "B", direction = -1, limits = c(0, 4))
- In general, it's better not to use
df$colinaes(), just use the column name, e.g.
ggplot(df_2, aes(x = X, xend = X + dx, y = Y))
ggplot will look up the column names within the dataframe.
answered Nov 14 '18 at 5:02
MariusMarius
31.6k97174
can u insert the output ?
– sai saran
Nov 14 '18 at 5:26
2
@saisaran: The question doesn't provide an easy way to reproduce the data/plot, so I can't show how it changes the plot.
– Marius
Nov 14 '18 at 5:30
add a comment |
4
4
4
To answer your main question, you should be able to pass limits = c(0, 4) as an argument to viridis::scale_color_viridis(), i.e.
viridis::scale_color_viridis(option = "B", direction = -1, limits = c(0, 4))
A couple of other points:
- Newer versions of
ggplot2have viridis scales built in, so you should be able to use:
scale_color_viridis_c(option = "B", direction = -1, limits = c(0, 4))
- In general, it's better not to use
df$colinaes(), just use the column name, e.g.
ggplot(df_2, aes(x = X, xend = X + dx, y = Y))
ggplot will look up the column names within the dataframe.
answered Nov 14 '18 at 5:02
MariusMarius
31.6k97174
To answer your main question, you should be able to pass limits = c(0, 4) as an argument to viridis::scale_color_viridis(), i.e.
viridis::scale_color_viridis(option = "B", direction = -1, limits = c(0, 4))
A couple of other points:
- Newer versions of
ggplot2have viridis scales built in, so you should be able to use:
scale_color_viridis_c(option = "B", direction = -1, limits = c(0, 4))
- In general, it's better not to use
df$colinaes(), just use the column name, e.g.
ggplot(df_2, aes(x = X, xend = X + dx, y = Y))
ggplot will look up the column names within the dataframe.
answered Nov 14 '18 at 5:02
MariusMarius
31.6k97174
answered Nov 14 '18 at 5:02
MariusMarius
31.6k97174
answered Nov 14 '18 at 5:02
MariusMarius
31.6k97174
answered Nov 14 '18 at 5:02
MariusMarius
31.6k97174
31.6k97174
can u insert the output ?
– sai saran
Nov 14 '18 at 5:26
2
@saisaran: The question doesn't provide an easy way to reproduce the data/plot, so I can't show how it changes the plot.
– Marius
Nov 14 '18 at 5:30
add a comment |
can u insert the output ?
– sai saran
Nov 14 '18 at 5:26
2
@saisaran: The question doesn't provide an easy way to reproduce the data/plot, so I can't show how it changes the plot.
– Marius
Nov 14 '18 at 5:30
can u insert the output ?
– sai saran
Nov 14 '18 at 5:26
can u insert the output ?
– sai saran
Nov 14 '18 at 5:26
2
2
@saisaran: The question doesn't provide an easy way to reproduce the data/plot, so I can't show how it changes the plot.
– Marius
Nov 14 '18 at 5:30
@saisaran: The question doesn't provide an easy way to reproduce the data/plot, so I can't show how it changes the plot.
– Marius
Nov 14 '18 at 5:30
add a comment |
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1
Note that
ggplot2has these scales build in nowadays,scale_color_viridis_cin this case.– Axeman
Nov 14 '18 at 5:03
2
FYI, no need to use
df_2$insideggplotcall. You can just use bare column names– Tung
Nov 14 '18 at 5:04