from plot_tools.dotplot import dotplot
font = 'Serif'
caption = 'Festing on Protien (AARP Bulletin, Sept. 2009)'
data = {
'1 - 1.9': 3,
'2 - 2.9': 5,
'3 - 3.9': 4,
'4 - 4.9': 0,
'5 - 5.9': 6,
'6 - 6.9': 1
}
plt = dotplot([1, 2, 3, 4, 5, 6], list(data.values()))
plt.xticks([1, 2, 3, 4, 5, 6], labels=list(data.keys()), fontname=font)
plt.yticks([0, 1, 2, 3, 4, 5], labels=[1, 2, 3, 4, 5, 6], fontname=font)
plt.title('The Cost of Protien (per gram)', fontsize=14, fontname=font)
plt.xlabel('Cents', fontsize=10, fontname=font)
plt.ylabel('Number of Food Sources', fontsize=10, fontname=font)
plt.figtext(0.5,
0.01,
caption,
wrap=True,
ha='center',
fontsize=8,
fontname=font)
plt.gcf().set_size_inches(7, 6)
plt.axes().figure.set_facecolor('lightgrey')
plt.grid(color='lightgrey', alpha=0.3)
from plot_tools.dotplot import dotplot
import pandas as pd
import pathlib
font = 'Serif'
title = 'Violent Crime on College Campuses in Florida, 2012'
source = 'Source: The FBI web site'
filename = pathlib.Path(__file__)
df = pd.read_csv(filename.with_suffix('.csv'), index_col=0)
data = df['crimes']
plt = dotplot(list(range(16)), df['crimes'])
plt.xticks(list(range(16)),
labels=df['school'],
fontname=font,
color='cyan',
rotation=33)
plt.yticks(list(range(31)),
labels=list(range(1, 32)),
fontname=font,
color='darkcyan')
plt.suptitle(title, fontsize=15, fontname=font, color='cyan')
plt.title(source, fontsize=8, fontname=font, color='darkcyan')
plt.ylabel('Number of Crimes', fontsize=10, fontname=font, color='purple')
plt.gcf().set_size_inches(13, 7)
ax = plt.axes()
ax.figure.set_facecolor('black')
ax.set_facecolor('black')
Skip some x-axis labels
'''
labels = []
for label in range(0, xmax):
try:
if not label % skip:
labels.append(str(label))
else:
continue
#labels.append(None)
except ZeroDivisionError:
labels.append(str(label))
return labels
plt = dotplot(df[x_col], df[y_col], dcolor, dsize, ecolor, ewidth)
locs, labels = plt.xticks()
plt.xticks(locs, ['', '100', '200', '300', '400', '500', '600', '700', '800'],
fontname=font,
color=trim,
rotation=x_rotation)
plt.yticks(list(range(y_len)),
list(range(1, y_len + 1)),
fontname=font,
color=trim)
plt.suptitle(title, fontsize=15, fontname=font, color=bold)
plt.title(source, fontsize=8, fontname=font, color=trim)
plt.ylabel(ylabel, fontsize=10, fontname=font, color=bold)
plt.xlabel(xlabel, fontsize=10, fontname=font, color=bold)
plt.gcf().set_size_inches(x_size, y_size)
plt.grid(color=grid, alpha=alpha)
color = 'royalblue'
def xlabels():
labels = []
for label in range(0, 46):
if not label % 5:
labels.append(label)
else:
labels.append(None)
return labels
df = pd.read_csv(filename.with_suffix('.csv'))
plt = dotplot(df['%'], df['freq'])
plt.xticks(list(range(46)),
labels=xlabels(),
fontname=font,
color='black',
rotation=0)
plt.yticks(list(range(10)),
labels=list(range(1, 11)),
fontname=font,
color='black')
plt.suptitle(title, fontsize=15, fontname=font, color='darkblue')
plt.title(source, fontsize=8, fontname=font, color='black')
plt.ylabel('Number of Beaches', fontsize=10, fontname=font, color='darkblue')
plt.xlabel('Percentage of Failed Tests',
fontsize=10,
fontname=font,