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3 changes: 2 additions & 1 deletion examples/scales/log_bar.py
Original file line number Diff line number Diff line change
Expand Up @@ -20,7 +20,8 @@
y = [d[i] for d in data]
b = ax.bar(x + i * dimw, y, dimw, bottom=0.001)

ax.set_xticks(x + dimw / 2, map(str, x))
ax.set_xticks(x + dimw / 2)
ax.set_xticklabels(map(str, x))
ax.set_yscale('log')

ax.set_xlabel('x')
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5 changes: 2 additions & 3 deletions examples/text_labels_and_annotations/text_rotation.py
Original file line number Diff line number Diff line change
Expand Up @@ -30,21 +30,20 @@ def addtext(ax, props):
for x in range(0, 5):
ax.scatter(x + 0.5, 0.5, color='r', alpha=0.5)
ax.set_yticks([0, .5, 1])
ax.set_xticks(np.arange(0, 5.1, 0.5))
ax.set_xlim(0, 5)
ax.grid(True)


# the text bounding box
bbox = {'fc': '0.8', 'pad': 0}

fig, axs = plt.subplots(2, 1)
fig, axs = plt.subplots(2, 1, sharex=True)

addtext(axs[0], {'ha': 'center', 'va': 'center', 'bbox': bbox})
axs[0].set_xticks(np.arange(0, 5.1, 0.5), [])
axs[0].set_ylabel('center / center')

addtext(axs[1], {'ha': 'left', 'va': 'bottom', 'bbox': bbox})
axs[1].set_xticks(np.arange(0, 5.1, 0.5))
axs[1].set_ylabel('left / bottom')

plt.show()
5 changes: 2 additions & 3 deletions tutorials/colors/colormaps.py
Original file line number Diff line number Diff line change
Expand Up @@ -225,7 +225,7 @@ def plot_color_gradients(cmap_category, cmap_list, nrows):
plt.show()

###############################################################################
# Lightness of matplotlib colormaps
# Lightness of Matplotlib colormaps
# =================================
#
# Here we examine the lightness values of the matplotlib colormaps.
Expand Down Expand Up @@ -308,10 +308,9 @@ def plot_color_gradients(cmap_category, cmap_list, nrows):
formatter = mpl.ticker.FixedFormatter(cmap_list[i*dsub:(i+1)*dsub])
ax.xaxis.set_major_formatter(formatter)
ax.xaxis.set_tick_params(rotation=50)
ax.set_ylabel('Lightness $L^*$', fontsize=12)

ax.set_xlabel(cmap_category + ' colormaps', fontsize=14)
fig.text(0.0, 0.55, 'Lightness $L^*$', fontsize=12,
transform=fig.transFigure, rotation=90)

fig.tight_layout(h_pad=0.0, pad=1.5)
plt.show()
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