def loadDates(self, dates=None):
'''
get data for all symbols as wide panel
provide a dates list. If no dates list is provided, common dates are used.
'''
if dates is None: dates = self.commonDates
tmp = {}
for k, v in self.csv.iteritems():
tmp[k] = v.loadDates(dates)
return pd.WidePanel(tmp)
import pandas as pd
from pybloqs.block.text import Span, Raw
from pybloqs.block.layout import Flow, HStack, VStack, Grid
from .generation_framework import assert_report_generated
colors = ["Red", "Green", "Blue", "Magenta", "Orange", "Yellow", "Teal"]
frame = pd.DataFrame({"a": [1.11111111, 2.22222222, 3.33333333], "b": ["foo", "baz", "bar"]}, index=[1, 2, 3])
panel = pd.WidePanel({"a": frame, "b": frame})
def _construct_style_inheritance(cls, **kwargs):
return cls([Raw(color, background_color=color) for color in colors], text_align="right", title="Layout", **kwargs)
def _construct_nested_layout(cls, **kwargs):
sub_flow = test_flow()
sub_hstack = test_hstack()
sub_vstack = test_vstack()
sub_grid = test_grid()
return cls([sub_flow, sub_hstack, sub_vstack, sub_grid], **kwargs)
@assert_report_generated
def test_flow():
return Flow([Span(color, background_color=color) for color in colors], title="Flow Layout")
def construct_panel(self):
self.panel = pandas.WidePanel(self.data_frames)
import pandas as pd
from pybloqs.block.convenience import Block
from .generation_framework import assert_report_generated
series = pd.Series([1, 2, 3])
df = pd.DataFrame({"a": series, "b": series})
panel = pd.WidePanel({1: df, 2: df})
@assert_report_generated
def test_string():
return Block("Hello World!", title="Salutations")
@assert_report_generated
def test_block():
return Block(test_string(), title="Wrapped Block")
@assert_report_generated
def test_none():
return Block(None, title="Empty Block")
@assert_report_generated
def test_matplotlib():
return Block(series.plot(), title="Matplotlib Block")
@assert_report_generated
import os
import pandas as pd
import pybloqs.plot as pbp
from .generation_framework import assert_report_generated
script_dir = os.path.dirname(__file__)
df = pd.read_csv(os.path.join(script_dir, "test_plot_df1.csv"), index_col=0, parse_dates=True)
df1 = pd.read_csv(os.path.join(script_dir, "test_plot_df2.csv"), index_col=0, parse_dates=True)
df2 = pd.read_csv(os.path.join(script_dir, "test_plot_df3.csv"), index_col=0, parse_dates=True)
wp = pd.WidePanel({1: df, 2: df1, 3: df2}).ix[:, :30, :2]
df_cr = (df + 1).cumprod()
a = df_cr.A
b = df_cr.B
c = df_cr.C
c.name = "C"
@assert_report_generated
def test_series():
return pbp.Plot(a)
@assert_report_generated
def test_dataframe():
return pbp.Plot(df)
