def render(df, encoding, output):
if encoding.x is None:
with output:
print("\n\n\nPlease select an X axis.")
return
try:
values, labels = PieGraph._get_x_values_labels(df, encoding)
except TypeError:
with output:
print(
"\n\n\nCannot group by X selection because of its type: '{}'. Please select another column."
.format(df[encoding.x].dtype))
return
except (ValueError, DataError):
with output:
print(
"\n\n\nCannot group by X selection. Please select another column."
.format(df[encoding.x].dtype))
if df.size == 0:
print(
"\n\n\nCannot display a pie graph for an empty data set."
)
return
max_slices_pie_graph = conf.max_slices_pie_graph()
with output:
# There's performance issues with a large amount of slices.
# 1500 rows crash the browser.
# 500 rows take ~15 s.
# 100 rows is almost automatic.
if len(values) > max_slices_pie_graph:
print(
"There's {} values in your pie graph, which would render the graph unresponsive.\n"
"Please select another X with at most {} possible values.".
format(len(values), max_slices_pie_graph))
else:
data = [Pie(values=values, labels=labels)]
fig = Figure(data=Data(data))
iplot(fig, show_link=False)
def render(df, encoding, output):
if encoding.x is None:
with output:
print("\n\n\nPlease select an X axis.")
return
values, labels = PieGraph._get_x_values_labels(df, encoding)
max_slices_pie_graph = conf.max_slices_pie_graph()
with output:
# There's performance issues with a large amount of slices.
# 1500 rows crash the browser.
# 500 rows take ~15 s.
# 100 rows is almost automatic.
if len(values) > max_slices_pie_graph:
print("There's {} values in your pie graph, which would render the graph unresponsive.\n"
"Please select another X with at most {} possible values."
.format(len(values), max_slices_pie_graph))
else:
data = [Pie(values=values, labels=labels)]
fig = Figure(data=Data(data))
iplot(fig, show_link=False)
def render(df, encoding, output):
if encoding.x is None:
with output:
print("\n\n\nPlease select an X axis.")
return
try:
values, labels = PieGraph._get_x_values_labels(df, encoding)
except TypeError:
with output:
print("\n\n\nCannot group by X selection because of its type: '{}'. Please select another column."
.format(df[encoding.x].dtype))
return
except (ValueError, DataError):
with output:
print("\n\n\nCannot group by X selection. Please select another column."
.format(df[encoding.x].dtype))
if df.size == 0:
print("\n\n\nCannot display a pie graph for an empty data set.")
return
max_slices_pie_graph = conf.max_slices_pie_graph()
with output:
# There's performance issues with a large amount of slices.
# 1500 rows crash the browser.
# 500 rows take ~15 s.
# 100 rows is almost automatic.
if len(values) > max_slices_pie_graph:
print("There's {} values in your pie graph, which would render the graph unresponsive.\n"
"Please select another X with at most {} possible values."
.format(len(values), max_slices_pie_graph))
else:
data = [Pie(values=values, labels=labels)]
fig = Figure(data=Data(data))
iplot(fig, show_link=False)
