martijnvermaat / calmap Goto Github PK

If the DatetimeIndex contains tzinfo the entries in the calmap are blank.

If fillcolor is specified, it's also used as the color for the yearlabels. This can be very impractical if you want days with no data to be shown in white. Then the yearlabels vanish.

If I use your calmap function on my Linux Red Hat Enterprise distribution, I'll get the warning
findfont: Font family ['Arial'] not found. Falling back to DejaVu Sans.
Normally the warning will be just ignored, but if executed in the context of a cronjob it will cause the job to exit.
In your code the Font is defined in Line 308:

ylabel_kws = dict(
        fontsize=32,
        color=kwargs.get('fillcolor', 'whitesmoke'),
        fontweight='bold',
        fontname='Arial',
        ha='center')

Could this be changed to fontfamily = 'serif' or to a parameter?

Since I don't have admin rights on this machine there is no way for me to just install the missing Font.

In version 1.0.0 of Pandas, Series.ix and DataFrame.ix was removed, breaking calmap. See https://pandas.pydata.org/docs/whatsnew/v1.0.0.html

However, this method is still used at

When trying to run the sample code from the documentation

import numpy as np; np.random.seed(sum(map(ord, 'calmap')))
import pandas as pd
import calmap

all_days = pd.date_range('1/15/2014', periods=700, freq='D')
days = np.random.choice(all_days, 500)
events = pd.Series(np.random.randn(len(days)), index=days)

calmap.yearplot(events, year=2015)

I get the following error:

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-14-48f9d523cd2f> in <module>()
----> 1 calmap.yearplot(events, year=2014)

~/anaconda3/lib/python3.6/site-packages/calmap/__init__.py in yearplot(data, year, how, vmin, vmax, cmap, fillcolor, linewidth, linecolor, daylabels, dayticks, monthlabels, monthticks, ax, **kwargs)
    144         # background so in that case we default to white which will usually be
    145         # the figure or canvas background color.
--> 146         linecolor = ax.get_axis_bgcolor()
    147         if ColorConverter().to_rgba(linecolor)[-1] == 0:
    148             linecolor = 'white'

AttributeError: 'AxesSubplot' object has no attribute 'get_axis_bgcolor'

When run with Matplotlib 2.0.2 (Python 3.6.2) I get the following deprecation warnings:

/.../venv/lib/python3.6/site-packages/calmap/__init__.py:128: FutureWarning: how in .resample() is deprecated
the new syntax is .resample(...).sum()
  by_day = data.resample('D', how=how)
/.../venv/lib/python3.6/site-packages/calmap/__init__.py:146: MatplotlibDeprecationWarning: The get_axis_bgcolor function was deprecated in version 2.0. Use get_facecolor instead.
  linecolor = ax.get_axis_bgcolor()

Just a heads up for future proofing.

Hi,

I'm currently heavily relying on your module to plot calendar heatmap. Your module is great but I wonder
If you know a simple way to put a colorbar for the whole figure on the left of the calendar heatmap figure.
It could also be a neat feature in your next iteration on the module to have an option to put automatically the colorbar when creating the heatmap.

When I run the code on the doc page:
import numpy as np; np.random.seed(sum(map(ord, 'calmap')))
import pandas as pd
import calmap

all_days = pd.date_range('1/15/2014', periods=700, freq='D')
days = np.random.choice(all_days, 500)
events = pd.Series(np.random.randn(len(days)), index=days)
calmap.yearplot(events, year=2015)
I get the following result:

Only when I change the aggregation to be mean, I get the expected result:

calmap.yearplot(events, year=2015,how=u'mean')

python version: 3.7.1
pandas version: 0.23.4
calmap version: 0.0.7
matplotlib version: 3.0.1

For days without data a color from a given cmap is used instead of fillcolor.

Thanks for a useful calendar heatmap package. Is it easy to add the two above features?
For the 1st one, an example is black lines in [https://bl.ocks.org/mbostock/4063318]

Using how in return a Future Warning

/Users/xxxx/.virtualenvs/calmap/lib/python2.7/site-packages/calmap/__init__.py:294: FutureWarning: how in .resample() is deprecated
the new syntax is .resample(...).count()
  by_day = data.resample('D', how=how)

should be easy to fix, I'll see if i can submit a PR.

Great tool, thank you for making this.

I'm visualising extreme cold temperatures, and these only happen from December through March. It would be nice to be able to limit months in the plot and rearrange them to overlap years.

I'm having issues saving the calendar plot as it is generated

when i use calmap.calendarplot without 'fillcolor', this is the result

and when i use calmap.calendarplot with 'fillcolor', this is the result, it adds the label of year