e-hulten / july Goto Github PK

Hi, is it possible to get a sliding calendar like the on I see on my github profile?

It looks like the ones that come out of july always start at January and end in December while the github calendar starts at today - 356 days and today is the last square in the calendar.

Hello, in the examples there are only code snippets to create the objects, but no actual working code to show/print/save images to file.

I am not familiar with matplotlib and I'd appreciate some code examples for that.

The current calendar_plot() auto generates the title based on data.
However, it would be nice if it allow user to input their customized title. E.g. "UK Holidays", "Chelsea Match Days", etc.

Hello, I wanted to thank you for this amazing library! It's been really usefull for my projects. I detected what seems to be a bug in the calendar_plot arguments: there is no ax argument, but it appears in the documentation. I can make a pull request with a fix if that's ok.

not an an issue, but rather a question / feature request.
I would like to have an option that would implement grid around each day...

Currently methods like heatmap don't allow for custom Normalize objects to be fed into the matplotlib drawing process (i.e. when calling pcolormesh you can provide a norm argument) and only allow for custom Colormaps.

This makes it hard to have e.g. logarithmically scaled color in the plots without directly scaling the actual data, which messes up the colorbar values etc. because of the way matplotlib separates normalization of data and after that color assignment to the normalized values using color maps. Is it possible to open up method arguments to allow to pass in those custom Normalize objects?

Is there a way to display a color_bar for the calendar_plot?

Similar to july.heatmap(osl_df.date, osl_df.temp, cmap="golden", colorbar=True, title="Average temperatures: Oslo , Norway")

Hey there,

Just throwing this idea out; I think having a legend next to the individual months [shown below] would be a nice feature to have as an arg to july.calendar_plot(). If I'm blind and it already exists, could you let me know where?

Thanks,
BK

I get TypeError: Expected 'date' to be type: [str, datetime.date, datetime.datetime]. Got: <class 'numpy.datetime64'>.
My data type: datetime64[ns]

Hello,

Thank you very much for the super cool package.

I would like to inquire whether it's possible to select specific months for plotting by passing a list of months. For instance, I'd like to plot only the months [10, 11, 12], without plotting the whole the year.
Currently, I can achieve this by calling month_plot() three times, like so:

from mpl_toolkits.axes_grid1 import Grid
fig = plt.figure()
grid = Grid(fig, rect=111, nrows_ncols=(1,3),
            axes_pad=0.25, label_mode='L',
            )
for i, ax in enumerate(grid):
    july.month_plot(dates_list, data, month=months[i], value_label=True, ax=ax)

Hi,

please add git tags for releases, to one can download versioned sources directly from github

thanks

Describe the workflow you want to enable

Hi all, I wanted to use gray-scale colormap and add labels. july.calendar_plot and july.month_plot allowed me to add labels (a.k.a. ticks, values inside calendar cells) with value_label=True param, but did not allow me to change the color of these labels.

Example image and code attached

july.calendar_plot(data=df_plot.values, dates=df_plot.index, cmap="gray_r", value_label=True, title=False)

Describe your proposed solution

1. As far as I understand the source code, the affected line is below:
   https://github.com/e-hulten/july/blob/master/src/july/helpers.py#L116

july/src/july/helpers.py
> 105 | def add_value_label(ax, cal, value_format):
> ...
> 118 | ax.text(j + 0.5, i + 0.5, val_format.format(z), ha="center", va="center")

2. Objects of matplotlib.axes.Axes.text class have color or c - color parameter documentation link.
3. We might add additional param responsible for color of values or transfer **kwargs

Describe alternatives you've considered, if relevant

Mayhap there are other ways to fix it

Additional context

Same issue may occur with other colormaps - it is difficult to separate dark colors from dark backgrounds (or to separate same tints, shades, tones in general). Also, color are important both from æsthetical and accessibility points see

In order to not interfere with other potential components relying on matplotlib and implicitly expecting some or all configurations, namely rcParams, to have their respective default value, I would appreciate if changes to rcParams only influenced july.

Currently, it is reconfigured globally in

One possibility to achieve this would be for update_rcparams to use matplotlib.rc_context – returning a new independent context manager, to be used in

Seems like a bug?