def test_histogram_file_type_unsupported(self):
L = [1, 1, 1]
with self.assertRaises(ValueError) as ex:
data_viz.boxplot(L, 'test.py')
self.assertEqual(str(ex.exception), 'Out file type unsupported.')
def test_boxplot_file_type(self):
L = [8, 4, 1, 2, 6, 2]
x_ticks = "sample1"
with self.assertRaises(ValueError) as ex:
dv.boxplot('test.jpeg', 'title', 'x_axis', 'y_axis', L, x_ticks)
message = 'File type not supported'
self.assertEqual(str(ex.exception), message)
def main():
parser = argparse.ArgumentParser(
description='Read a file from stdin, generate a plot', prog='bay')
parser.add_argument(
'-o', # input file, from user
'--out_file',
type=str,
help="File Name With Which to Save Plot",
required=True)
parser.add_argument(
'-p', # desired column, from user
'--plot_type',
type=str,
help="Types are: 'hist', 'box', 'combo'",
required=True)
args = parser.parse_args()
file_out = args.out_file
type = args.plot_type
x = gt.read_stdin_col(0)
y = gt.read_stdin_col(1)
combined = np.vstack((x, y)).T
combined = combined.tolist()
if type == "hist":
dv.histogram(combined, file_out)
if type == "box":
dv.boxplot(combined, file_out)
if type == "combo":
dv.combo(combined, file_out)
def main():
parser = argparse.ArgumentParser(description='Create plots'
' with data from stdin.')
parser.add_argument('--output_file_name', type=str,
help='Name of the output file', required=True)
parser.add_argument(
'--plot_type', type=str,
help='The type of plot you wish to produce', required=True)
args = parser.parse_args()
# Read data from standard in
try:
V = get_data.read_stdin_col(0)
except TypeError:
print('Data could not be read from stdin')
sys.exit(1)
# plot generation
if args.plot_type == str('boxplot'):
data_viz.boxplot(V, args.output_file_name)
if args.plot_type == str('histogram'):
data_viz.histogram(V, args.output_file_name)
if args.plot_type == str('combo'):
data_viz.combo(V, args.output_file_name)
def main():
parser = argparse.ArgumentParser(
description='Program that allows one to create a boxplot, ' +
'histogram, or combo of the two of a set of data.',
prog='viz')
parser.add_argument('--out_file_name',
type=str,
help='The output file name.',
required=True)
parser.add_argument('--col_num',
type=int,
help='The input column.',
required=True)
parser.add_argument('--plot_type',
type=str,
help='Choices are boxplot, histogram, or combo.',
required=True)
args = parser.parse_args()
out_file_name = args.out_file_name
col_num = args.col_num
plot_type = args.plot_type
data = gd.read_stdin_col(col_num)
if plot_type == "boxplot":
dv.boxplot(data, out_file_name)
if plot_type == "histogram":
dv.histogram(data, out_file_name)
if plot_type == "combo":
dv.combo(data, out_file_name)
def main():
# get argument by arg parser
args = parse_args()
# check if it is a valid file name
if not os.access(args.out_file, os.W_OK):
try:
open(args.out_file, 'w').close()
os.unlink(args.out_file)
except OSError:
print('Invalid file name')
sys.exit(1)
# get an array from STDIN
L = get_data.read_stdin_col(args.col_num)
if len(L) == 0:
print('Empty list')
sys.exit(1)
# choose plot type
if (args.plot_type == 'histogram'):
data_viz.histogram(L, args.out_file)
elif (args.plot_type == 'boxplot'):
data_viz.boxplot(L, args.out_file)
elif (args.plot_type == 'combo'):
data_viz.combo(L, args.out_file)
else:
print('Invalid plot type')
sys.exit(1)
sys.exit(0)
def main():
# L coming from stdin from get_data method
L = get_data.read_stdin_col(0)
parser = argparse.ArgumentParser(description='inputs\
for file name and \
type of plot',
prog='viz.py')
parser.add_argument('--plot_type',
type=str,
help='Choice of plot: Boxplot, Histogram, or Combo',
required=True)
parser.add_argument('--out_file_name',
type=str,
help='Name of output file',
required=True)
args = parser.parse_args()
try:
if args.plot_type == 'Boxplot':
data_viz.boxplot(L, args.out_file_name)
elif args.plot_type == 'Histogram':
data_viz.histogram(L, args.out_file_name)
elif args.plot_type == 'Combo':
data_viz.combo(L, args.out_file_name)
else:
print("Must choose from: 'Histogram', 'Boxplot', or 'Combo'")
except ValueError:
print('Must have correct file extension. Try .png?')
def test_boxplot_one_boxplot(self):
file_name = 'out.png'
data = [1, 2, 3]
for i in range(100):
data.append(random.randint(0,1000))
dv.boxplot(data,file_name, 'x', 'y', 'title')
self.assertTrue(os.path.exists(file_name))
def test_boxplot_no_out_file_name(self):
L = []
with self.assertRaises(TypeError) as ex:
data_viz.boxplot(L, None)
self.assertEqual(str(ex.exception), 'No file name given.')
def test_boxplot_out_file_type(self):
L = [4, 6, 5, 9, 10, 3, 9]
x_ticks = "sample1"
with self.assertRaises(ValueError) as ex:
dv.boxplot('test.jpeg', 'title', 'x_axis', 'y_axis', L, x_ticks)
message = 'Can not support file extension. Try .png instead'
self.assertEqual(str(ex.exception), message)
def test_boxplot_random_double_array(self):
file_name = "test.png"
rand_double_list = [random.random() for i in range(1000)]
data_viz.boxplot(rand_double_list, file_name)
self.assertEqual(os.path.exists(file_name), True)
os.remove(file_name)
def test_dat_viz_exist(self):
A = []
file_name = 'file1.png'
file = open(file_name, 'w')
file.close()
with self.assertRaises(SystemExit) as ex:
data_viz.boxplot(A, file_name)
self.assertEqual(str(ex.exception), 'File already exits')
def test_data_viz_boxplot_exist(self):
"""This funtion test if the plot is saved properly.
"""
output_name = 'boxplot_test.png'
check_bf = os.path.exists(output_name)
data_viz.boxplot(L, output_name)
check_af = os.path.exists(output_name)
self.assertFalse(check_bf)
self.assertTrue(check_af)
def test_boxplot_filename_already_exists(self):
test_filename = "test_file"
test_file = open(test_filename, "w")
test_file.close()
with self.assertRaises(Exception) as ex:
data_viz.boxplot([1, 2], test_filename)
output = str(ex.exception)
self.assertEqual(output, "error, file already exists")
def main():
"""
Read numerical data from the standard input, calculate the mean and
standard deviation, and save data as a box plot or histogram
Parameters
-----------
--out_file : the desired name of the saved plot, with the png extension
--plot_type : the type of plot to produce. Choices are histogram, boxplot,
or combo.
Returns
--------
A plot saved as --out_file
"""
parser = argparse.ArgumentParser(description='produce a plot of data from '
'stdin', prog='viz')
parser.add_argument('--out_file', type=str,
help='Name of output file', required=True)
parser.add_argument('--plot_type', type=str,
help='The plot type, lowercase', required=True)
args = parser.parse_args()
out_file_name = args.out_file
plot = args.plot_type
# hardcoding the columns output from gen_data.sh
# output of read_stdin_col is a list
col_1 = get_data.read_stdin_col(0)
col_2 = get_data.read_stdin_col(1)
# merge both lists into one for graphing
L = []
for i in col_1:
L.append(i)
for j in col_2:
L.append(j)
try:
if plot == "histogram":
data_viz.histogram(L, out_file_name)
if plot == "boxplot":
data_viz.boxplot(L, out_file_name)
if plot == "combo":
data_viz.combo(L, out_file_name)
except NameError:
print('Plot type not available. Check help for available types')
sys.exit(1)
def test_boxplot_file_already_exits(self):
L = []
file_name = 'test.png'
f = open(file_name, 'w')
f.close()
with self.assertRaises(SystemExit) as ex:
data_viz.boxplot(L, file_name)
self.assertEqual(str(ex.exception), 'File already exists.')
def test_boxplot_many_boxplot(self):
file_name = 'many.png'
data = []
for j in range(10):
d = []
for i in range(100):
d.append(random.randint(0,1000))
data.append(d)
dv.boxplot(data,file_name, 'x', 'y', 'title')
self.assertTrue(os.path.exists(file_name))
def main():
L = sys.stdin
out_file = args.output_file
plot = args.plot_type
if plot == 'boxplot':
data_viz.boxplot(L, out_file)
if plot == 'histogram':
data_viz.histogram(L, out_file)
if plot == 'combo':
data_viz.combo(L, out_file)
def test_boxplot_empty(self):
self.data_lists = []
self.file = "boxplot_empty"
self.label_list = []
self.title = "ACTA2"
self.x_label = "SMTS"
self.y_label = "Gene read counts"
boxplot(self.data_lists, self.label_list, self.title, self.x_label,
self.y_label, self.file)
self.assertEqual(True, os.path.exists(self.file + ".png"))
def test_boxplot(self):
V = []
# test array with 1000 random elements
for _ in range(1000):
r = random.randint(-1000, 1000)
V.append(r)
# plot boxplot and verify the png is generated
data_viz.boxplot(V, 'test.png')
self.assertTrue(os.path.exists('test.png'))
os.remove('test.png')
def main():
args = getparser()
data = get_data.read_stdin_col(args.col_num)
if args.plot_type == 'boxplot':
data_viz.boxplot(data, args.out_file)
elif args.plot_type == 'histogram':
data_viz.histogram(data, args.out_file)
elif args.plot_type == 'combo':
data_viz.combo(data, args.out_file)
else:
raise ValueError('Legal list for plot_type: boxplot, histogram, combo')
def test_boxplot_file_already_exists(self):
file_name = "test.png"
f = open(file_name, "w+")
f.close()
with self.assertRaises(FileExistsError) as ex:
data_viz.boxplot([], file_name)
self.assertEqual(str(ex.exception), "That file name already exists.")
os.remove(file_name)
def test_boxplot(self):
datapoints = 1000
normal = np.random.normal(1, 1, datapoints)
uniform = np.random.uniform(1, 1, datapoints)
data = [normal, uniform]
data_viz.boxplot(data, ['Normal', 'Uniform'], 'Distributions',
'Distribution', 'y-value', 'testplot.png')
self.assertTrue(os.path.exists('testplot.png'))
os.remove('testplot.png')
def test_boxplot_name_boxes(self):
file_name = 'nameboxes.png'
data = []
groups = []
for j in range(10):
d = []
groups.append('Sample ' + str(j))
for i in range(100):
d.append(random.randint(0,1000))
data.append(d)
dv.boxplot(data, file_name, 'x', 'y', 'title', groups)
self.assertTrue(os.path.exists(file_name))
def test_boxplot_not_exist(self):
self.data_lists = []
for i in range(4):
self.data_lists.append(np.random.randint(0, 100, size=100))
self.file = "boxplot_test2"
self.label_list = ['Sample1', 'Sample2', 'Sample3', 'Sample4']
self.title = "ACTA2"
self.x_label = "SMTS"
self.y_label = "Gene read counts"
boxplot(self.data_lists, self.label_list, self.title, self.x_label,
self.y_label, "bad_histogram")
self.assertEqual(False, os.path.exists(self.file + ".png"))
def test_boxplot_len_L_plotlabels_not_equal(self):
outfile = "output.png"
L = []
plotlabels = []
for x in range(5):
if x is not 0:
plotlabels.append(str(x))
L.append([
random.randint(0, 100),
random.randint(0, 100),
random.randint(0, 100)
])
dv.boxplot(L, outfile, "Title", plotlabels, "x", "y")
os.remove(outfile)
def test_boxplot_random_int_array_2d(self):
file_name = "test.png"
rand_int_list = []
length = range(0, 10)
for i in length:
rand_int_list.append(
[random.randrange(-100, 100) for i in range(100)])
data_viz.boxplot(rand_int_list,
file_name,
data_labels=[i for i in length])
self.assertEqual(os.path.exists(file_name), True)
os.remove(file_name)
def main():
parser = argparse.ArgumentParser(
description="plot data from stdin")
parser.add_argument('--out_file_name',
type=str,
help='name of output file',
required=True)
parser.add_argument('--plot_type',
type=string,
help='take "histrogram" or "boxplot" or "combo"',
required=True)
parser.add_argument('--col_num',
type=int,
help='column num in stdin to get data from',
required=True)
args = parser.parse_args()
try:
data = get_data(args.col_num)
except Exception:
print("something went wrong in get_data")
sys.exit(1)
if(argparse.plot_type == "boxplot"):
try:
data_viz.boxplot(data, args.out_file_name)
except Exception:
print("something went wrong in data_viz.boxplot")
sys.exit(1)
if(argparse.plot_type == "histogram"):
try:
data_viz.histogram(data, args.out_file_name)
except Exception:
print("something went wrong in data_viz.histogram")
sys.exit(1)
if(argparse.plot_type == "boxplot"):
try:
data_viz.combo(data, args.out_file_name)
except Exception:
print("something went wrong in data_viz.combo")
sys.exit(1)
pass
def test_boxplot(self):
random_dists = ['Normal', ' Lognormal', 'Exp', 'Gumbel', 'Triangular']
N = 500
norm = np.random.normal(1, 1, N)
logn = np.random.lognormal(1, 1, N)
expo = np.random.exponential(1, N)
gumb = np.random.gumbel(6, 4, N)
tria = np.random.triangular(2, 9, 11, N)
# Generate 2d array
data = [norm, logn, expo, gumb, tria]
data_viz.boxplot(data, random_dists, 'Distribution', 'Value',
'Comparison', 'test_box_plot.png')
# check the result is generated successfully or not
self.assertTrue(os.path.exists('test_box_plot.png'))
os.remove('test_box_plot.png')
def test_takes_list(self):
L = [[1, 2, 3], [2, 2, 2], [3, 1, 2]]
ticks = [1, 2, 3]
r = data_viz.boxplot(L, 'test_outputfile.png', 'T', 'x', 'y', ticks)
path = 'test_outputfile.png'
isFile = os.path.isfile(path)
self.assertTrue(isFile)
os.remove('test_outputfile.png')
