Цель состоит в том, чтобы создать розу ветров, как на этом графике c: в этом обсуждении ).
Гистограмма пыталась добавить в WindroseAxes() - ось - экземпляр, который раньше работал нормально. Это можно сделать через from windrose import WindroseAxes. Я упомянул об этом здесь, если он играет роль в проблеме.
# * Instantiate windrose-axis related to the global figure and the just created rectangle
# NOTE on passing theta-labels: need to be passed, otherwise an error will be thrown like 'keyword "theta_labels" does not exist'
# --> from windrose.py: self.theta_labels = kwargs.pop("theta_labels") or ["E", "N-E", "N", "N-W", "W", "S-W", "S", "S-E"]
ax = WindroseAxes(fig, rect, theta_labels=theta_labels)
fig.add_axes(ax)
Специфика используемого фрейма данных :
sub_df.info()
None
<class 'pandas.core.frame.DataFrame'>
DatetimeIndex: 7130 entries, 2018-07-01 00:05:00+02:00 to 2018-07-31 23:55:00+02:00
Data columns (total 8 columns):
# Column Non-Null Count Dtype
--- ------ -------------- -----
0 Atm. pressure mean 7130 non-null float64
1 Daily cumulative precipitation 7130 non-null float64
2 Precipitation 7130 non-null float64
3 RH_mean 7130 non-null float64
4 T_mean 7130 non-null float64
5 Wind direction mean 7130 non-null float64
6 Wind speed max 7130 non-null float64
7 Wind speed mean 7130 non-null float64
dtypes: float64(8)
memory usage: 821.3 KB
В Далее я собираюсь описать, как были построены функция ax.bar() - (с намерением построить розу ветров) и связанная с ней шкала цветов :
# * Define colormap
# Colormap increases the contrast from 0 to 1 in blue (or the color of choice)
# NOTE on type: <matplotlib.colors.LinearSegmentedColormap object at 0x7fd8b7d3d850>
cmap = plt.cm.Blues # pylint: disable=no-member
## * Get bins for colormap used for all subplots equally * ##
# i) Get maximum value
# Use .max() instead of max(), otherwise NaN could be considered the maximum
real_max_val = df[var_name].max()
# Maximum value here: 11 (m/s)
max_val = real_max_val.round()
# NOTE on scope: when rounded down, add 1 to make it greater than the actual maximum value
if max_val < real_max_val:
max_val += 1
# ii) Set the bins linearly (not logarithmically as often seen)
# NOTE: units are assumed in meters per second (m/s)
# NOTE on bins: divides each wind-bar into e.g. 6 bins == stepnumber in linspace (default)
# NOTE on minimum value: the lowest possible is 0 m/s
bins_bar_plot = np.linspace(0, max_val, num_of_bins) # (start, end, stepnumber)
cmap_norm = mpl.colors.Normalize(vmin=0, vmax=max_val)
# * Create plot based on the current sub-df
ax.bar(sub_df['Wind direction mean'],
sub_df['Wind speed mean'],
normed=True,
facecolor=(0.03137254901960784, 0.18823529411764706, 0.4196078431372549, 1.0),
bins=array([ 0. , 2.2, 4.4, 6.6, 8.8, 11. ]),
cmap=cmap,
alpha=1.0,
opening=1.0,
"grey"="grey",
linewidth=0.1)
* 1022 Затем задействованная * цветная полоса была реализована следующим образом:
fig.subplots_adjust(right=0.8)
# [x_coord start, y_coord start, total width, total height] - all in percent of the figure dimensions
cbar_ax = fig.add_axes([0.95, 0.15, 0.025, 0.7])
cbar = mpl.colorbar.ColorbarBase(cbar_ax,
cmap=cmap,
norm=cmap_norm,
spacing='proportional',
alpha=1.0)
cbar.set_label("{} {}".format('Wind speed mean', tools.units("Wind speed")),
color=None,
weight=None,
fontsize=None)
# NOTE: vertically oriented colorbar: y-label
# Length of ticklabels here: 6
new_yticklabels = np.linspace(0, max_val,
len(list(cbar.ax.get_yticklabels())))
new_yticklabels = np.around(new_yticklabels, decimals=1)
# New ticklabels here: array([ 0. , 2.2, 4.4, 6.6, 8.8, 11. ])
cbar.ax.set_yticklabels(new_yticklabels,
color=None,
weight=None,
fontsize=None)
полная трассировка ошибки , напечатанная в консоли:
ValueError Traceback (most recent call last)
~/Desktop/Programming/Python/Scripts/General/Plotting/windrose_plotting.py in <module>
184 textcolor="blue")
185 # * Carry out plot of the current sub-df
--> 186 plot.windrose_subplot(
187 df=df_plot.loc[m_loc],
188 desired_years=desired_years,
~/Dokumente/Allgemeines_material/Sonstiges/Programming/Python/Scripts/General/Plotting/plotting.py in windrose_subplot(df, figsize, groupby_freq, desired_years, desired_months, theta_labels, max_cols_per_row, ax_title_pos, cmap, y_coord_suptitle_dict, title_font_size, savepath, plot_file_extensions, normed, opening_bar_plot, num_of_bins, edgecolor, edge_linewidth, meteo_loc, add_info, transparent, alpha, label_color, font_weight, special_textfont_size, save_plotting_data_to_plain_text_AS_WELL, save_plotting_data_to_plain_text_ONLY)
6957
6958 # * Finally, either show or save the current plot
-> 6959 aux_plot.show_or_save_plot(path=savepath,
6960 basename=titlestr,
6961 transparent=transparent,
~/Dokumente/Allgemeines_material/Sonstiges/Programming/Python/Scripts/General/Plotting/auxiliary_plotting_functions.py in show_or_save_plot(fig, path, basename, file_extensions, dpi, legend, bbox_inches, transparent, legend_is_inside, remove_surrounding_whitespace, use_plotly, plotly_show_renderer, plotly_default_template, plotly_axlabel_size, plotly_title_label_size, plotly_font_family, plotly_font_color, linux_dir_sep, save_plotting_data_to_plain_text_AS_WELL, save_plotting_data_to_plain_text_ONLY)
3549
3550 # Carry out the saving procedure building up on the save-fig function
-> 3551 save_figs(path,
3552 fig=fig,
3553 file_extensions=file_extensions,
~/Dokumente/Allgemeines_material/Sonstiges/Programming/Python/Scripts/General/Plotting/auxiliary_plotting_functions.py in save_figs(filename, fig, file_extensions, dpi, standard_dpi, legend, bbox_inches, transparent, remove_surrounding_whitespace, legend_is_inside, linux_dir_sep, use_plotly, plotly_default_template, plotly_axlabel_size, plotly_title_label_size, plotly_font_family, plotly_font_color, save_plotting_data_to_plain_text_AS_WELL, save_plotting_data_to_plain_text_ONLY)
2395 if not remove_surrounding_whitespace:
2396 # Call savefig-method pertaining to a pyplot-fig-object with its provided kwargs
-> 2397 fig.savefig(filename + t,
2398 dpi=dpi,
2399 bbox_inches=bbox_inches,
/home/linuxbrew/.linuxbrew/lib/python3.8/site-packages/matplotlib/figure.py in savefig(self, fname, transparent, **kwargs)
2309 patch.set_edgecolor('none')
2310
-> 2311 self.canvas.print_figure(fname, **kwargs)
2312
2313 if transparent:
/home/linuxbrew/.linuxbrew/lib/python3.8/site-packages/matplotlib/backend_bases.py in print_figure(self, filename, dpi, facecolor, edgecolor, orientation, format, bbox_inches, pad_inches, bbox_extra_artists, backend, **kwargs)
2191 else suppress())
2192 with ctx:
-> 2193 self.figure.draw(renderer)
2194
2195 bbox_inches = self.figure.get_tightbbox(
/home/linuxbrew/.linuxbrew/lib/python3.8/site-packages/matplotlib/artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
39 renderer.start_filter()
40
---> 41 return draw(artist, renderer, *args, **kwargs)
42 finally:
43 if artist.get_agg_filter() is not None:
/home/linuxbrew/.linuxbrew/lib/python3.8/site-packages/matplotlib/figure.py in draw(self, renderer)
1861
1862 self.patch.draw(renderer)
-> 1863 mimage._draw_list_compositing_images(
1864 renderer, self, artists, self.suppressComposite)
1865
/home/linuxbrew/.linuxbrew/lib/python3.8/site-packages/matplotlib/image.py in _draw_list_compositing_images(renderer, parent, artists, suppress_composite)
130 if not_composite or not has_images:
131 for a in artists:
--> 132 a.draw(renderer)
133 else:
134 # Composite any adjacent images together
/home/linuxbrew/.linuxbrew/lib/python3.8/site-packages/matplotlib/cbook/deprecation.py in wrapper(*inner_args, **inner_kwargs)
409 else deprecation_addendum,
410 **kwargs)
--> 411 return func(*inner_args, **inner_kwargs)
412
413 return wrapper
/home/linuxbrew/.linuxbrew/lib/python3.8/site-packages/matplotlib/cbook/deprecation.py in wrapper(*inner_args, **inner_kwargs)
409 else deprecation_addendum,
410 **kwargs)
--> 411 return func(*inner_args, **inner_kwargs)
412
413 return wrapper
/home/linuxbrew/.linuxbrew/lib/python3.8/site-packages/matplotlib/projections/polar.py in draw(self, renderer, *args, **kwargs)
993 self.yaxis.set_clip_path(self.patch)
994
--> 995 Axes.draw(self, renderer, *args, **kwargs)
996
997 def _gen_axes_patch(self):
/home/linuxbrew/.linuxbrew/lib/python3.8/site-packages/matplotlib/artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
39 renderer.start_filter()
40
---> 41 return draw(artist, renderer, *args, **kwargs)
42 finally:
43 if artist.get_agg_filter() is not None:
/home/linuxbrew/.linuxbrew/lib/python3.8/site-packages/matplotlib/cbook/deprecation.py in wrapper(*inner_args, **inner_kwargs)
409 else deprecation_addendum,
410 **kwargs)
--> 411 return func(*inner_args, **inner_kwargs)
412
413 return wrapper
/home/linuxbrew/.linuxbrew/lib/python3.8/site-packages/matplotlib/axes/_base.py in draw(self, renderer, inframe)
2746 renderer.stop_rasterizing()
2747
-> 2748 mimage._draw_list_compositing_images(renderer, self, artists)
2749
2750 renderer.close_group('axes')
/home/linuxbrew/.linuxbrew/lib/python3.8/site-packages/matplotlib/image.py in _draw_list_compositing_images(renderer, parent, artists, suppress_composite)
130 if not_composite or not has_images:
131 for a in artists:
--> 132 a.draw(renderer)
133 else:
134 # Composite any adjacent images together
/home/linuxbrew/.linuxbrew/lib/python3.8/site-packages/matplotlib/artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
39 renderer.start_filter()
40
---> 41 return draw(artist, renderer, *args, **kwargs)
42 finally:
43 if artist.get_agg_filter() is not None:
/home/linuxbrew/.linuxbrew/lib/python3.8/site-packages/matplotlib/axis.py in draw(self, renderer, *args, **kwargs)
1167
1168 for tick in ticks_to_draw:
-> 1169 tick.draw(renderer)
1170
1171 # scale up the axis label box to also find the neighbors, not
/home/linuxbrew/.linuxbrew/lib/python3.8/site-packages/matplotlib/artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
39 renderer.start_filter()
40
---> 41 return draw(artist, renderer, *args, **kwargs)
42 finally:
43 if artist.get_agg_filter() is not None:
/home/linuxbrew/.linuxbrew/lib/python3.8/site-packages/matplotlib/axis.py in draw(self, renderer)
289 for artist in [self.gridline, self.tick1line, self.tick2line,
290 self.label1, self.label2]:
--> 291 artist.draw(renderer)
292 renderer.close_group(self.__name__)
293 self.stale = False
/home/linuxbrew/.linuxbrew/lib/python3.8/site-packages/matplotlib/artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
39 renderer.start_filter()
40
---> 41 return draw(artist, renderer, *args, **kwargs)
42 finally:
43 if artist.get_agg_filter() is not None:
/home/linuxbrew/.linuxbrew/lib/python3.8/site-packages/matplotlib/text.py in draw(self, renderer)
695
696 gc = renderer.new_gc()
--> 697 gc.set_foreground(textobj.get_color())
698 gc.set_alpha(textobj.get_alpha())
699 gc.set_url(textobj._url)
/home/linuxbrew/.linuxbrew/lib/python3.8/site-packages/matplotlib/backend_bases.py in set_foreground(self, fg, isRGBA)
953 self._rgb = fg
954 else:
--> 955 self._rgb = colors.to_rgba(fg)
956
957 def set_joinstyle(self, js):
/home/linuxbrew/.linuxbrew/lib/python3.8/site-packages/matplotlib/colors.py in to_rgba(c, alpha)
187 rgba = None
188 if rgba is None: # Suppress exception chaining of cache lookup failure.
--> 189 rgba = _to_rgba_no_colorcycle(c, alpha)
190 try:
191 _colors_full_map.cache[c, alpha] = rgba
/home/linuxbrew/.linuxbrew/lib/python3.8/site-packages/matplotlib/colors.py in _to_rgba_no_colorcycle(c, alpha)
261 # tuple color.
262 if not np.iterable(c):
--> 263 raise ValueError(f"Invalid RGBA argument: {orig_c!r}")
264 if len(c) not in [3, 4]:
265 raise ValueError("RGBA sequence should have length 3 or 4")
ValueError: Invalid RGBA argument: None