ax | CLI tool to query structured logs | AWS library

Here's a close case that works:

The issue is that in your static plot, you have actually created a list of Line2D objects (try printing line1 and you will see its not a single instance).

But, in the animation function, you just create a single Line2D instance to set the xdata and ydata for.

We can change to creating a list of Line2D instances, then loop over them and set the appropriate x and y data for each segment like so:

• As per Adding plots to the basic mplfinance plot(), section Plotting multiple additional data sets
  • Aside from the example below, for two columns from a dataframe, the documentation shows a number of ways to configure an appropriate object for the addplot parameter.
  • apdict = [mpf.make_addplot(data['Upper Band']), mpf.make_addplot(data['Lower Band'])] works as well. Note it's a list, not a tuple.
• mplfinance/examples

The best way to make your code less repetitive for many potential columns is to make a function that plots on an axis. That way you can simply adjust with 3 parameters basically:

• Calculate the mean for each group, and then add them to the existing ax with a seaborn.lineplot
• Set dodge=False in the seaborn.boxplot
• Remember that the line in the boxplot is the median, not the mean.
  • Add the means to boxplot with showmeans=True, and then remove marker='o' from the lineplot, if desired.
• As pointed out JohanC's answer:
  • sns.pointplot(data=dfm, x='variable', y='value', hue='parametrized_factor', ax=ax) can be used without the need for calculating dfm_mean, however there isn't a legend=False parameter, which then requires manually managing the legend.
  • Also, I think it's more straightforward to use dodge=False than to calculate the offsets.
  • Either answer is viable, depending on your requirements.

1. plot takes x values and y values as as first and second arguments
2. here you give mixed values i.e. [x0, y0] and [x2, y2] instead of [x0, x2] and [y0, y2]
3. this works for first two lines because your values form a symmetric matrix for first two pair of rows in data

I hope you understand the explanation

You need to restructure the data to make array of x values and y values, try:

Code:

There is no pre-built way for your exact transformation, so you have to create your geometry objects yourself. I assume you meant one LineString object per row in in your DataFrame. With little typing, you could create such a column using the powerful apply method.

• The dataframe can be melted into a long format with pandas.DataFrame.melt, and then plotted with seaborn.boxplot or seborn.catplot and specifying the hue parameter.

Values in assembly are usually in hex, explicitly stated with the h at the of 0050h

50h or 0x50 is 80 in base 10
80/2=40
40 in hex is 0x28
therefore your result is 0x28 or 28h