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scale_x_datetime(): error building plot for early dates #346
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I'm having the same issue with First the setup: from lets_plot import *
import pandas as pd
presidential = pd.read_csv("https://vincentarelbundock.github.io/Rdatasets/csv/ggplot2/presidential.csv", index_col=0)
presidential = presidential.astype({"start": "datetime64[ns]", "end": "datetime64[ns]"})
presidential["id"] = 33 + presidential.index Note that the data are:
Now the following code, with only the last few entries (shorter time span) included, works: (
ggplot(presidential.iloc[-5:], aes(x="start", y="id")) +
geom_point() +
geom_segment(aes(xend="end", yend="id")) +
scale_x_datetime(breaks=presidential["start"], format="%Y")
) But the full dataset, (
ggplot(presidential, aes(x="start", y="id")) +
geom_point() +
geom_segment(aes(xend="end", yend="id")) +
scale_x_datetime(breaks=presidential["start"], format="%Y")
) Produces an error:
|
Unfortunately, at the moment the earliest date scale datetime can handle is 1.1.1970 @aeturrell, a relatively easy workaround in your case would be to extract year from dates and add "year" as a numeric column to the dataset. |
integer formatting is just "d", sorry. |
Woop! Thanks so much! |
Look at the following example:
Here we get:
If we remove the scale, it works:
If we remove the earliest date, it works again:
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