2 Feature Requests: Plot Extra Grid Lines and deal with 'None' Values in Data Plot

Hi,

The DateTime plot plot_date requires all values to be numeric (None/NaN/np.nan is not accepted), but it’s useful to be able to display shorter lines that don’t span the whole time frame, which requires a way to represent no data like None/NaN. What I’m trying to do is to add some arbitrary trend line/channel on a stock price series. Can you support this?

Thanks!

[NLKNguyen]

Thanks for the quick response,

I realized I used your API incorrectly. There is no issue. I’m used to other chart libraries that require all time series to share the same time frame and where there is no data, a NaN or None is expected.

Turned out multiple plot_date can have different dates as long as each has the same data length and date length. Here is just for reference.

import pandas as pd
import plotext as plt

plt.datetime.set_datetime_form(date_form='%Y-%m-%d')

t1 = pd.date_range("2022-01-01", periods=5, freq="D")
x1 = [plt.datetime.datetime_to_string(el) for el in t1]
y1 = pd.Series([1,2,3,4,5], index=t1).tolist()
plt.plot_date(x1, y1,  marker = "hd", color=[1])

t2 = pd.date_range("2022-01-06", periods=5, freq="D") 
x2 = [plt.datetime.datetime_to_string(el) for el in t2]
y2 = pd.Series([6,7,8,9,10], index=t2).tolist()
plt.plot_date(x2, y2,  marker = "hd", color=[4])

t3 = pd.date_range("2022-01-03", periods=4, freq="D") 
x3 = [plt.datetime.datetime_to_string(el) for el in t3]
y3 = pd.Series([4,5,6,7], index=t3).tolist()
plt.plot_date(x3, y3,  marker = "hd", color=[3])

plt.canvas_color(0) 
plt.axes_color(0)
plt.ticks_color("bright-yellow")
plt.show()

Another question though, is there a way to show vertical lines on certain dates or horizontal lines on certain values? That would be similar to the existing Grid feature but only on specific locations.

Here is an example of an arbitrary vertical line when I use another lib called uniplot

[piccolomo]

Glad it worked 😃,

new 4.1.5 PyPi version also available.

Thanks, Savino